id stringlengths 53 86 | api_name stringlengths 2 76 | api_description stringlengths 1 500 ⌀ | api_score float64 0 10 ⌀ | endpoint_name stringlengths 1 190 | endpoint_description stringlengths 0 500 | response_status_code int64 100 505 | response_summary stringlengths 1 68 ⌀ | response_json stringlengths 6 50k | response_json_schema stringlengths 14 150k |
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5cf572b9-1fe9-462b-919a-e61783bf08b9/cf8d482f-11b5-4049-a19f-affa3ad2e8eb/0/0 | Sentiment Analysis by Geneea | Find out what the attitude of the text’s author was. We give you the sentiment of the whole review, as well as that of individual sentences and entities. | null | Sentiment Analysis | Analyze text to find sentiment in customer reviews, feedback, tweets, or social media posts. Find how people feel about your products or company.
Please read documentation for detailed info.
https://help.geneea.com/api_general/guide/sentiment.html | 200 | Example Response 1 | {"docSentiment": {"label": "negative", "mean": -0.1, "negative": -0.3, "positive": 0.2}, "entities": [{"gkbId": "HSP-1091", "id": "E0", "stdForm": "pizza", "type": "food"}], "id": "1", "itemSentiments": {"E0": {"label": "negative", "mean": -0.5, "negative": -0.5, "positive": 0}, "R0": {"label": "positive", "mean": 0.5, "negative": 0, "positive": 0.5}, "R1": {"label": "negative", "mean": -0.4, "negative": -0.4, "positive": 0}, "R2": {"label": "negative", "mean": -0.5, "negative": -0.5, "positive": 0}}, "language": {"detected": "en"}, "relations": [{"args": [{"name": "trip", "type": "SUBJECT"}], "feats": {"modality": "", "negated": "false"}, "id": "R0", "name": "amazing", "textRepr": "amazing(trip)", "type": "ATTR"}, {"args": [{"name": "food", "type": "SUBJECT"}], "feats": {"modality": "", "negated": "false"}, "id": "R1", "name": "weird", "textRepr": "weird(food)", "type": "ATTR"}, {"args": [{"entityId": "E0", "name": "pizza", "type": "SUBJECT"}], "feats": {"modality": "", "negated": "false"}, "id": "R2", "name": "terrible", "textRepr": "terrible(pizza)", "type": "ATTR"}], "usedChars": 100} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"docSentiment": {"type": "object", "properties": {"label": {"type": "string"}, "mean": {"type": "number"}, "negative": {"type": "number"}, "positive": {"type": "number"}}, "required": ["label", "mean", "negative", "positive"]}, "entities": {"type": "array", "items": {"type": "object", "properties": {"gkbId": {"type": "string"}, "id": {"type": "string"}, "stdForm": {"type": "string"}, "type": {"type": "string"}}, "required": ["gkbId", "id", "stdForm", "type"]}}, "id": {"type": "string"}, "itemSentiments": {"type": "object", "properties": {"E0": {"type": "object", "properties": {"label": {"type": "string"}, "mean": {"type": "number"}, "negative": {"type": "number"}, "positive": {"type": "integer"}}, "required": ["label", "mean", "negative", "positive"]}, "R0": {"type": "object", "properties": {"label": {"type": "string"}, "mean": {"type": "number"}, "negative": {"type": "integer"}, "positive": {"type": "number"}}, "required": ["label", "mean", "negative", "positive"]}, "R1": {"type": "object", "properties": {"label": {"type": "string"}, "mean": {"type": "number"}, "negative": {"type": "number"}, "positive": {"type": "integer"}}, "required": ["label", "mean", "negative", "positive"]}, "R2": {"type": "object", "properties": {"label": {"type": "string"}, "mean": {"type": "number"}, "negative": {"type": "number"}, "positive": {"type": "integer"}}, "required": ["label", "mean", "negative", "positive"]}}, "required": ["E0", "R0", "R1", "R2"]}, "language": {"type": "object", "properties": {"detected": {"type": "string"}}, "required": ["detected"]}, "relations": {"type": "array", "items": {"type": "object", "properties": {"args": {"type": "array", "items": {"type": "object", "properties": {"name": {"type": "string"}, "type": {"type": "string"}, "entityId": {"type": "string"}}, "required": ["name", "type"]}}, "feats": {"type": "object", "properties": {"modality": {"type": "string"}, "negated": {"type": "string"}}, "required": ["modality", "negated"]}, "id": {"type": "string"}, "name": {"type": "string"}, "textRepr": {"type": "string"}, "type": {"type": "string"}}, "required": ["args", "feats", "id", "name", "textRepr", "type"]}}, "usedChars": {"type": "integer"}}, "required": ["docSentiment", "entities", "id", "itemSentiments", "language", "relations", "usedChars"]} |
1f04db54-b433-442e-9b80-059ff7f41d8a/d3c5c5d8-bacd-4034-af5a-94d440933afb/0/0 | SEO BERT Score | Returns the Google's BERT score of a given text against a specific keyword. | null | SEO BERT Score | Returns the Google's BERT score of a given text against a specific keyword. | 200 | RaulLG | {"bert_score": 87} | {"type": "object", "properties": {"bert_score": {"type": "integer"}}} |
53aa507ee4b0a705fcc318af/53aa507fe4b0f2c97547025e/0/0 | Word Quiz | Vocabulary test with levels and exam-specific words (SAT, GMAT, etc). Customized word association quiz for game and e-learning software. | 9.4 | Type 1 | Customized word association quiz for game and e-learning software. | 200 | Response | {"area": "sat", "author": "twinword inc.", "email": "help@twinword.com", "level": 3, "quizlist": [{"correct": 2, "option": ["jury", "assess"], "quiz": ["value", "estimate", "evaluate"]}, {"correct": 2, "option": ["trace", "adjacent"], "quiz": ["close", "near", "next"]}, {"correct": 2, "option": ["mad", "exotic"], "quiz": ["foreign", "national", "ethnic"]}, {"correct": 1, "option": ["forecast", "sustainable"], "quiz": ["assume", "insight", "weather"]}, {"correct": 2, "option": ["charity", "rapid"], "quiz": ["fast", "quick", "prompt"]}, {"correct": 2, "option": ["par", "intermediate"], "quiz": ["center", "middle", "average"]}, {"correct": 1, "option": ["vendor", "adjust"], "quiz": ["seller", "employee", "merchant"]}, {"correct": 2, "option": ["banking", "thesis"], "quiz": ["college", "degree", "learning"]}, {"correct": 2, "option": ["compile", "bass"], "quiz": ["fishing", "guitar", "sea"]}, {"correct": 1, "option": ["transparent", "differently"], "quiz": ["clear", "liquid", "plain"]}], "result_code": "200", "result_msg": "Success", "version": "4.0.0"} | {"properties": {"area": {"type": "string"}, "author": {"type": "string"}, "email": {"format": "email", "type": "string"}, "level": {"type": "integer"}, "quizlist": {"items": {"properties": {"correct": {"type": "integer"}, "option": {"items": {"type": "string"}, "type": "array"}, "quiz": {"items": {"type": "string"}, "type": "array"}}, "type": "object"}, "type": "array"}, "result_code": {"format": "color", "type": "string"}, "result_msg": {"type": "string"}, "version": {"type": "string"}}, "type": "object"} |
1d3e92fc-1a5c-4db1-b267-f32cb4cf3582/373816de-2ecb-4d46-a98e-a093132c0ca5/0/0 | Document to ChatGPT API | Convert your document into an API and use ChatGPT to talk to it | 5.7 | queryEmbedding | Use this endpoint to query or "chat" with your API/Bot | 200 | Example_1 | {"result": "It says \"My name is Sam.\"", "error": null} | {"type": "object", "properties": {"result": {"type": "string"}, "error": {"type": "null"}}} |
1d3e92fc-1a5c-4db1-b267-f32cb4cf3582/0b754e99-7525-44fd-a15d-aa36c941e51c/0/0 | Document to ChatGPT API | Convert your document into an API and use ChatGPT to talk to it | 5.7 | createEmbedding | Supports the following files type (please let me know if you want me to support more file types):
- pdf
- txt
- docx | 200 | Example_1 | {"result": "6a33d009-fe0c-456a-aa38-fe17f9b674ee", "error": null} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"result": {"type": "string"}, "error": {"type": "null"}}, "required": ["error", "result"]} |
1d3e92fc-1a5c-4db1-b267-f32cb4cf3582/3f4dc896-3e8d-45c0-9994-2255134db75e/0/0 | Document to ChatGPT API | Convert your document into an API and use ChatGPT to talk to it | 5.7 | createEmbeddingWithText | Use this endpoint if you just want to parse text straight into it | 200 | Example_1 | {"result": "6a33d009-fe0c-456a-aa38-fe17f9b674ee", "error": null} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"result": {"type": "string"}, "error": {"type": "null"}}, "required": ["error", "result"]} |
d1d9e541-863d-43da-9170-f2d97549209e/9b5dc92e-1f3f-4800-9afd-146eb3ac875b/0/0 | Sentiment Analysis | Sentiment analysis (also known as opinion mining or emotion AI) is the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information. | null | sentiment | Sentiment Analysis | 200 | Response | {"author": "codewalker7", "email": "codewalker7@pm.me", "sentiment": [{"positive": "0.6148"}, {"neutral": "0.23805"}, {"negative": "0.14716"}]} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"author": {"type": "string"}, "email": {"type": "string"}, "sentiment": {"type": "array", "items": {"type": "object", "properties": {"positive": {"type": "string"}, "neutral": {"type": "string"}, "negative": {"type": "string"}}}}}, "required": ["author", "email", "sentiment"]} |
b6565b9c-e1cb-49f6-9844-d8d8e6cb2cc7/bbb26e30-1e47-41b8-a09c-e201092a86ae/0/0 | word2number | An API to convert natural language text into numbers. Takes in a number and returns | null | Text to Text with Numbers | This endpoint receives text with numbers in the text and returns the same text with all the numbers replaces by their numeric representation.
For example the text "My address is two hundred and fifty two Caplan's street. Floor fifteen apartment twelve"
The API's response would be "My address is 252 Caplan's street. Floor 15 apartment 12" | 200 | Response | {"text_with_numbers": "My address is 252 Caplan's street. Floor 15 apartment 12"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"text_with_numbers": {"type": "string"}}, "required": ["text_with_numbers"]} |
b6565b9c-e1cb-49f6-9844-d8d8e6cb2cc7/6990002d-1b59-474b-83f6-f8852108c8df/0/0 | word2number | An API to convert natural language text into numbers. Takes in a number and returns | null | Word to Number | This endpoint lets you convert a phrase describing a number into a number.
For example "twenty thousand two hundred and twelve" would return 20212. | 200 | Response | {"valid number": true, "number": 20212} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"valid number": {"type": "boolean"}, "number": {"type": "integer"}}, "required": ["number", "valid number"]} |
dd6155d2-8338-4882-a74f-e6cb399b414d/97cdeb62-0ecd-4eb1-af94-e433a74d66f6/0/0 | Text segmentation - sentences | Text segmentation is the process of dividing written text into meaningful units, such as words, sentences, or topics. | null | segmentation | Sentence segmentation | 200 | Response | {"author": "codewalker7", "email": "codewalker7@pm.me", "segmentation": [{"idx": "0", "sent": "Sentence segmentation is the problem of dividing a string of written language into its component sentences."}, {"idx": "1", "sent": "In English and some other languages, using punctuation, particularly the full stop/period character is a reasonable approximation."}, {"idx": "2", "sent": "However even in English this problem is not trivial due to the use of the full stop character for abbreviations, which may or may not also terminate a sentence."}, {"idx": "3", "sent": "For example, Mr. is not its own sentence in \"Mr. Smith went to the shops in Jones Street.\""}, {"idx": "4", "sent": "When processing plain text, tables of abbreviations that contain periods can help prevent incorrect assignment of sentence boundaries."}]} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"author": {"type": "string"}, "email": {"type": "string"}, "segmentation": {"type": "array", "items": {"type": "object", "properties": {"idx": {"type": "string"}, "sent": {"type": "string"}}, "required": ["idx", "sent"]}}}, "required": ["author", "email", "segmentation"]} |
1912ffc0-d9e7-4b73-973a-91c3c1539c73/7889ceee-ec38-468c-a680-b10818a3a736/0/0 | Multilingual Sentiment Classifier | AI-based sentiment classifier that speaks 100 languages! Just post your text and get a sentiment score back (pos./neutr./neg.). No need to specify your text's language! From Russian over German, English or Spanish to Chinese and Japanese -- everything covered! | 7.4 | sentiment_classification_v2_ml_sentiment_class__post | Main endpoint | 422 | Example_1 | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"title": "HTTPValidationError", "type": "object", "properties": {"detail": {"title": "Detail", "type": "array", "items": {"title": "ValidationError", "required": ["loc", "msg", "type"], "type": "object", "properties": {"loc": {"title": "Location", "type": "array", "items": {"type": "string"}}, "msg": {"title": "Message", "type": "string"}, "type": {"title": "Error Type", "type": "string"}}}}}} |
1912ffc0-d9e7-4b73-973a-91c3c1539c73/7889ceee-ec38-468c-a680-b10818a3a736/1/0 | Multilingual Sentiment Classifier | AI-based sentiment classifier that speaks 100 languages! Just post your text and get a sentiment score back (pos./neutr./neg.). No need to specify your text's language! From Russian over German, English or Spanish to Chinese and Japanese -- everything covered! | 7.4 | sentiment_classification_v2_ml_sentiment_class__post | Main endpoint | 200 | Example English | {"results": [{"text": "He did not look me in the eye, not when I entered the room and also not while I talked to him.", "label": "negative", "confidence": "0.99"}]} | {"title": "outDataSaClass", "required": ["results"], "type": "object", "properties": {"results": {"title": "Results", "type": "array", "items": {"type": "object", "additionalProperties": {"anyOf": [{"type": "string"}, {"type": "number"}]}}}}} |
38c8936a-798a-45a0-bea4-2fac73c63afc/45533e62-d15c-44af-a092-233bfc043490/0/0 | Advanced Emotions Detection - AdvEmotions | AdvEmotions API is a cutting-edge emotion recognition solution designed to analyze text and identify up to 27 emotions ncluding joy, sadness, anger, fear, surprise, disgust, trust, anticipation, acceptance, admiration, awe, confusion, curiosity, disappointment, envy, embarrassment, excitement, guilt, hope, hurt, insecurity, love, pride, relief, shame, satisfaction, and worry. | null | Detect 27 emotions | Detect up to 27 emotions in any text.
Simply enter your string in the "text" parameter, and the endpoint will return a JSON object as a result. | 200 | Correct example | {"text": "As a teenager he pummeled the head of the local bookie (whom he liked!) in a robbery attempt and left the man for dead with a crushed skull. Subsequently, the papers falsely reported the bookie\u2019s death and LaMotta did not learn until years later, after he won the middleweight championship, that the bookie, following a hospital stay, had moved to Florida to recuperate. In fairness, LaMotta had ongoing pangs of conscience about \u201cthe murder,\u201d but the primal concern of the heart was how best to beat the rap, not the devil."} | {"type": "object", "properties": {"text": {"type": "string"}}} |
e09147c7-581e-4795-ad66-20046bcf259d/bcee758a-a88b-4b75-b8c2-e8b4de1b5ab1/0/0 | AI Tool - GPT Token Splitter | This REST API service provides a way to programmatically split GPT-3 text-prompts into user-defined token-sized slices. | 5.4 | Using Body Parameters | Large input text size, unlimited input delimiters | 422 | Example_1 | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"title": "HTTPValidationError", "type": "object", "properties": {"detail": {"title": "Detail", "type": "array", "items": {"title": "ValidationError", "required": ["loc", "msg", "type"], "type": "object", "properties": {"loc": {"title": "Location", "type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "integer"}]}}, "msg": {"title": "Message", "type": "string"}, "type": {"title": "Error Type", "type": "string"}}}}}} |
e09147c7-581e-4795-ad66-20046bcf259d/bcee758a-a88b-4b75-b8c2-e8b4de1b5ab1/1/0 | AI Tool - GPT Token Splitter | This REST API service provides a way to programmatically split GPT-3 text-prompts into user-defined token-sized slices. | 5.4 | Using Body Parameters | Large input text size, unlimited input delimiters | 200 | Example_1 | {"status": "", "info": {"status_desc": "", "version": "dev-0.0.0", "date_time_start": "", "date_time_end": ""}, "user_provided": {"delimiters": [], "max_size": 0, "include_variations": true}, "total": {"n_tokens": 0, "n_chars": 0, "n_slices": 0}, "slices": [{"t": 0, "c": 0, "s": 0, "e": 0}]} | {"title": "Response", "type": "object", "properties": {"status": {"title": "Status", "type": "string", "default": ""}, "info": {"title": "Info", "allOf": [{"title": "Info", "type": "object", "properties": {"status_desc": {"title": "Status Description", "type": "string", "description": "descriptive text on the status of the API service request.", "default": ""}, "version": {"title": "API Version", "type": "string", "description": "API version", "default": "dev-0.0.0"}, "date_time_start": {"title": "Time Request Receieved", "type": "string", "description": "date and time, format: YYYY-MM-DDT:HH:MM:SS.ms. i.e. 2022-06-17T:12:06.253", "format": "date-time"}, "date_time_end": {"title": "Time Response Sent Back", "type": "string", "description": "date and time, format: YYYY-MM-DDT:HH:MM:SS.ms i.e. 2022-06-17T:12:07.585", "format": "date-time"}}}], "description": "A collection of generic API information."}, "user_provided": {"title": "UserProvided", "allOf": [{"title": "UserProvided", "type": "object", "properties": {"delimiters": {"title": "Delimiters List of Strings", "type": "array", "items": {"type": "string"}, "description": "see Request.delimiters schema for more information.", "default": []}, "max_size": {"title": "Max Slice Size In Tokens", "maximum": 1024, "minimum": 1, "type": "integer", "description": "maximum size of each text slice (in tokens). See Request.max_size schema for more information.", "default": 1024}, "include_variations": {"title": "Include Variations Boolean", "type": "boolean", "description": "see Request.include_variations schema for more information", "default": true}}}], "description": "A collection of information provided by the user."}, "total": {"title": "Total Response Values", "allOf": [{"title": "CountTotal", "type": "object", "properties": {"n_tokens": {"title": "Total Number of Tokens", "minimum": 0, "type": "integer", "description": "\"n_tokens\" represents the total # of tokens from the entire input text. In other words, it is the summation of all \"t\" for all \"n_slices\"", "default": 0}, "n_chars": {"title": "Total Number of Characters", "minimum": 0, "type": "integer", "description": "\"n_chars\" represents the total # of characters from the entire input text. In other words, it is the summation of all \"c\" for all \"n_slices\"", "default": 0}, "n_slices": {"title": "Total Number of Slices", "minimum": 0, "type": "integer", "description": "\"n_slices\" represents the total # of slices from the entire input text.", "default": 0}}}], "description": "A collection of total counts for tokens, characters, and slices calculated from the input parameters."}, "slices": {"title": "Slices", "type": "array", "items": {"title": "Slice", "type": "object", "properties": {"t": {"title": "t - Total Number of Tokens for Slice", "minimum": 0, "type": "integer", "description": "\"t\" represents the total number of tokens in this specific slice of text. This number should be less than or equal to your \"max_size\" input parameter. The resulting value will depend on the processing of the input \"text\", the \"max_size\", and the \"delimiters\".", "default": 0}, "c": {"title": "c - Total Number of Characters for Slice", "minimum": 0, "type": "integer", "description": "\"c\" represents the number of characters in this specific slice of text. Use this value to split your input text a token slice of size \"t\". You can also use the provided start and end indexs to split the text into a slice", "default": 0}, "s": {"title": "Start Index of Slice", "minimum": 0, "type": "integer", "description": "\"s\" represents the start index (in characters, not tokens) of the original text of a given slice", "default": 0}, "e": {"title": "End Index of Slice", "minimum": 0, "type": "integer", "description": "\"e\" represents the end index (in characters, not tokens) of the original text of a given slice", "default": 0}}}, "description": "A list of Slice objects. See Slice schema description.", "default": []}}} |
e09147c7-581e-4795-ad66-20046bcf259d/9ffe49e2-4c94-4bda-ad3f-159bb7bfdb28/0/0 | AI Tool - GPT Token Splitter | This REST API service provides a way to programmatically split GPT-3 text-prompts into user-defined token-sized slices. | 5.4 | Using Path Parameters | limited input text size, limited delimiter quantity. | 422 | Example_1 | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"title": "HTTPValidationError", "type": "object", "properties": {"detail": {"title": "Detail", "type": "array", "items": {"title": "ValidationError", "required": ["loc", "msg", "type"], "type": "object", "properties": {"loc": {"title": "Location", "type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "integer"}]}}, "msg": {"title": "Message", "type": "string"}, "type": {"title": "Error Type", "type": "string"}}}}}} |
e09147c7-581e-4795-ad66-20046bcf259d/9ffe49e2-4c94-4bda-ad3f-159bb7bfdb28/1/0 | AI Tool - GPT Token Splitter | This REST API service provides a way to programmatically split GPT-3 text-prompts into user-defined token-sized slices. | 5.4 | Using Path Parameters | limited input text size, limited delimiter quantity. | 200 | Example_1 | {"status": "", "info": {"status_desc": "", "version": "dev-0.0.0", "date_time_start": "", "date_time_end": ""}, "user_provided": {"delimiters": [], "max_size": 0, "include_variations": true}, "total": {"n_tokens": 0, "n_chars": 0, "n_slices": 0}, "slices": [{"t": 0, "c": 0, "s": 0, "e": 0}]} | {"title": "Response", "type": "object", "properties": {"status": {"title": "Status", "type": "string", "default": ""}, "info": {"title": "Info", "allOf": [{"title": "Info", "type": "object", "properties": {"status_desc": {"title": "Status Description", "type": "string", "description": "descriptive text on the status of the API service request.", "default": ""}, "version": {"title": "API Version", "type": "string", "description": "API version", "default": "dev-0.0.0"}, "date_time_start": {"title": "Time Request Receieved", "type": "string", "description": "date and time, format: YYYY-MM-DDT:HH:MM:SS.ms. i.e. 2022-06-17T:12:06.253", "format": "date-time"}, "date_time_end": {"title": "Time Response Sent Back", "type": "string", "description": "date and time, format: YYYY-MM-DDT:HH:MM:SS.ms i.e. 2022-06-17T:12:07.585", "format": "date-time"}}}], "description": "A collection of generic API information."}, "user_provided": {"title": "UserProvided", "allOf": [{"title": "UserProvided", "type": "object", "properties": {"delimiters": {"title": "Delimiters List of Strings", "type": "array", "items": {"type": "string"}, "description": "see Request.delimiters schema for more information.", "default": []}, "max_size": {"title": "Max Slice Size In Tokens", "maximum": 1024, "minimum": 1, "type": "integer", "description": "maximum size of each text slice (in tokens). See Request.max_size schema for more information.", "default": 1024}, "include_variations": {"title": "Include Variations Boolean", "type": "boolean", "description": "see Request.include_variations schema for more information", "default": true}}}], "description": "A collection of information provided by the user."}, "total": {"title": "Total Response Values", "allOf": [{"title": "CountTotal", "type": "object", "properties": {"n_tokens": {"title": "Total Number of Tokens", "minimum": 0, "type": "integer", "description": "\"n_tokens\" represents the total # of tokens from the entire input text. In other words, it is the summation of all \"t\" for all \"n_slices\"", "default": 0}, "n_chars": {"title": "Total Number of Characters", "minimum": 0, "type": "integer", "description": "\"n_chars\" represents the total # of characters from the entire input text. In other words, it is the summation of all \"c\" for all \"n_slices\"", "default": 0}, "n_slices": {"title": "Total Number of Slices", "minimum": 0, "type": "integer", "description": "\"n_slices\" represents the total # of slices from the entire input text.", "default": 0}}}], "description": "A collection of total counts for tokens, characters, and slices calculated from the input parameters."}, "slices": {"title": "Slices", "type": "array", "items": {"title": "Slice", "type": "object", "properties": {"t": {"title": "t - Total Number of Tokens for Slice", "minimum": 0, "type": "integer", "description": "\"t\" represents the total number of tokens in this specific slice of text. This number should be less than or equal to your \"max_size\" input parameter. The resulting value will depend on the processing of the input \"text\", the \"max_size\", and the \"delimiters\".", "default": 0}, "c": {"title": "c - Total Number of Characters for Slice", "minimum": 0, "type": "integer", "description": "\"c\" represents the number of characters in this specific slice of text. Use this value to split your input text a token slice of size \"t\". You can also use the provided start and end indexs to split the text into a slice", "default": 0}, "s": {"title": "Start Index of Slice", "minimum": 0, "type": "integer", "description": "\"s\" represents the start index (in characters, not tokens) of the original text of a given slice", "default": 0}, "e": {"title": "End Index of Slice", "minimum": 0, "type": "integer", "description": "\"e\" represents the end index (in characters, not tokens) of the original text of a given slice", "default": 0}}}, "description": "A list of Slice objects. See Slice schema description.", "default": []}}} |
37bd25e1-2352-42db-8ec4-066788968aad/014313b8-ab5a-422f-9131-8ab3dfff3e2a/0/0 | Quick Language Detector | Automatically identify the language of text strings with a confidence score. With this API, you can integrate language detection capabilities into your applications, platforms, or services, enabling you to process multilingual content effectively, enhance language-specific features, and optimize user experiences. | null | Detect Language | Detect Language | 200 | Success | {"status": "ok", "error": null, "data": [["spanish", 0.38471794871794873], ["portuguese", 0.2946153846153846], ["danish", 0.2464615384615384], ["italian", 0.23815384615384616], ["norwegian", 0.2302564102564102]]} | {"type": "object", "properties": {"status": {"type": "string"}, "error": {"type": "null"}, "data": {"type": "array", "items": {"type": "array"}}}} |
1f74f45e-dadd-4904-a785-f0a054ae414f/1fbaccbb-f899-4847-987f-097e807822d0/0/0 | Text Translation | translate to more than 100 languages with ease, and automatic detection | null | Translation | Translation | 200 | New Example | {"from": "en", "to": "de", "translation": "Hallo Welt"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"from": {"type": "string"}, "to": {"type": "string"}, "translation": {"type": "string"}}, "required": ["from", "to", "translation"]} |
fb936bd8-7e43-4678-82a1-0833695f2629/d134382e-f647-431b-9e57-ff4ebca4c142/0/0 | Job Description Generator | Job Description Generator API
Generate skills, responsibilities, qualifications, and personalized intro based on the job title.
The workflow would be:
Generate skills from the job title.
Generate responsibilities from the job title and relevant skills from step 1.
Generate qualifications from the job title and relevant skills from step 1.
Generate the role summary.
Generate a personalized intro to entice job seekers to read more and apply.
Make sure to add info about your c... | 9 | Generate Responsibilities | Generate job responsibilities based on the job title and skills. The responsibilities will return as a list. | 400 | Not a valid job title | {"context": {"requestID": "7cc9ad67-bb8b-447a-92c9-f71b4410e934"}, "errors": ["Title [Not a real job title] is not a valid job title"], "data": null} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"context": {"type": "object", "properties": {"requestID": {"type": "string"}}, "required": ["requestID"]}, "errors": {"type": "array", "items": {"type": "string"}}, "data": {"type": "null"}}, "required": ["context", "data", "errors"]} |
fb936bd8-7e43-4678-82a1-0833695f2629/d134382e-f647-431b-9e57-ff4ebca4c142/0/1 | Job Description Generator | Job Description Generator API
Generate skills, responsibilities, qualifications, and personalized intro based on the job title.
The workflow would be:
Generate skills from the job title.
Generate responsibilities from the job title and relevant skills from step 1.
Generate qualifications from the job title and relevant skills from step 1.
Generate the role summary.
Generate a personalized intro to entice job seekers to read more and apply.
Make sure to add info about your c... | 9 | Generate Responsibilities | Generate job responsibilities based on the job title and skills. The responsibilities will return as a list. | 400 | Missing Title | {"context": {"requestID": "5f77fe1f-a63d-4d09-b732-01af3f21606d"}, "errors": ["title is required"], "data": null} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"context": {"type": "object", "properties": {"requestID": {"type": "string"}}, "required": ["requestID"]}, "errors": {"type": "array", "items": {"type": "string"}}, "data": {"type": "null"}}, "required": ["context", "data", "errors"]} |
fb936bd8-7e43-4678-82a1-0833695f2629/d134382e-f647-431b-9e57-ff4ebca4c142/0/2 | Job Description Generator | Job Description Generator API
Generate skills, responsibilities, qualifications, and personalized intro based on the job title.
The workflow would be:
Generate skills from the job title.
Generate responsibilities from the job title and relevant skills from step 1.
Generate qualifications from the job title and relevant skills from step 1.
Generate the role summary.
Generate a personalized intro to entice job seekers to read more and apply.
Make sure to add info about your c... | 9 | Generate Responsibilities | Generate job responsibilities based on the job title and skills. The responsibilities will return as a list. | 400 | Short title | {"context": {"requestID": "f5e9877d-7878-4ca0-b38f-21fcdeb5edbe"}, "errors": ["title is required", "title length should be between 3 and 99 characters"], "data": null} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"context": {"type": "object", "properties": {"requestID": {"type": "string"}}, "required": ["requestID"]}, "errors": {"type": "array", "items": {"type": "string"}}, "data": {"type": "null"}}, "required": ["context", "data", "errors"]} |
fb936bd8-7e43-4678-82a1-0833695f2629/d134382e-f647-431b-9e57-ff4ebca4c142/1/0 | Job Description Generator | Job Description Generator API
Generate skills, responsibilities, qualifications, and personalized intro based on the job title.
The workflow would be:
Generate skills from the job title.
Generate responsibilities from the job title and relevant skills from step 1.
Generate qualifications from the job title and relevant skills from step 1.
Generate the role summary.
Generate a personalized intro to entice job seekers to read more and apply.
Make sure to add info about your c... | 9 | Generate Responsibilities | Generate job responsibilities based on the job title and skills. The responsibilities will return as a list. | 200 | Valid Response | {"context": {"requestID": "995b57b0-0d29-4271-9d03-97b60ed82737"}, "errors": [], "data": ["Design and develop applications and system components using PHP 7 and Laravel", "Develop and integrate front-end user interfaces with backend technologies", "Develop and maintain databases using MySQL", "Troubleshoot and debug applications and system components using best practices", "Implement Object-Oriented Programming (OOP) principles and SOLID design principles", "Implement and test security features and requirements", "Analyze user requirements and determine appropriate technical solutions", "Optimize applications and system components for performance, scalability and maintainability", "Research and evaluate new technologies, applications and development techniques", "Provide system maintenance, bug fixes and application upgrades"]} | {"type": "object", "properties": {"context": {"type": "object", "properties": {"requestID": {"type": "string"}}}, "errors": {"type": "array"}, "data": {"type": "array", "items": {"type": "string"}}}} |
fb936bd8-7e43-4678-82a1-0833695f2629/4dea7221-0a7f-43e8-99de-4f95b12a465c/0/0 | Job Description Generator | Job Description Generator API
Generate skills, responsibilities, qualifications, and personalized intro based on the job title.
The workflow would be:
Generate skills from the job title.
Generate responsibilities from the job title and relevant skills from step 1.
Generate qualifications from the job title and relevant skills from step 1.
Generate the role summary.
Generate a personalized intro to entice job seekers to read more and apply.
Make sure to add info about your c... | 9 | Generate Skills | Generate skills based on the job title. | 400 | Not a valid job title | {"context": {"requestID": "7cc9ad67-bb8b-447a-92c9-f71b4410e934"}, "errors": ["Title [Not a real job title] is not a valid job title"], "data": null} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"context": {"type": "object", "properties": {"requestID": {"type": "string"}}, "required": ["requestID"]}, "errors": {"type": "array", "items": {"type": "string"}}, "data": {"type": "null"}}, "required": ["context", "data", "errors"]} |
fb936bd8-7e43-4678-82a1-0833695f2629/4dea7221-0a7f-43e8-99de-4f95b12a465c/0/1 | Job Description Generator | Job Description Generator API
Generate skills, responsibilities, qualifications, and personalized intro based on the job title.
The workflow would be:
Generate skills from the job title.
Generate responsibilities from the job title and relevant skills from step 1.
Generate qualifications from the job title and relevant skills from step 1.
Generate the role summary.
Generate a personalized intro to entice job seekers to read more and apply.
Make sure to add info about your c... | 9 | Generate Skills | Generate skills based on the job title. | 400 | Short title | {"context": {"requestID": "1529ccec-1c48-4686-950a-9520fd0a2446"}, "errors": ["title length should be between 3 and 99 characters"], "data": null} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"context": {"type": "object", "properties": {"requestID": {"type": "string"}}, "required": ["requestID"]}, "errors": {"type": "array", "items": {"type": "string"}}, "data": {"type": "null"}}, "required": ["context", "data", "errors"]} |
fb936bd8-7e43-4678-82a1-0833695f2629/4dea7221-0a7f-43e8-99de-4f95b12a465c/0/2 | Job Description Generator | Job Description Generator API
Generate skills, responsibilities, qualifications, and personalized intro based on the job title.
The workflow would be:
Generate skills from the job title.
Generate responsibilities from the job title and relevant skills from step 1.
Generate qualifications from the job title and relevant skills from step 1.
Generate the role summary.
Generate a personalized intro to entice job seekers to read more and apply.
Make sure to add info about your c... | 9 | Generate Skills | Generate skills based on the job title. | 400 | Missing Title | {"context": {"requestID": "5f77fe1f-a63d-4d09-b732-01af3f21606d"}, "errors": ["title is required"], "data": null} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"context": {"type": "object", "properties": {"requestID": {"type": "string"}}, "required": ["requestID"]}, "errors": {"type": "array", "items": {"type": "string"}}, "data": {"type": "null"}}, "required": ["context", "data", "errors"]} |
fb936bd8-7e43-4678-82a1-0833695f2629/4dea7221-0a7f-43e8-99de-4f95b12a465c/0/3 | Job Description Generator | Job Description Generator API
Generate skills, responsibilities, qualifications, and personalized intro based on the job title.
The workflow would be:
Generate skills from the job title.
Generate responsibilities from the job title and relevant skills from step 1.
Generate qualifications from the job title and relevant skills from step 1.
Generate the role summary.
Generate a personalized intro to entice job seekers to read more and apply.
Make sure to add info about your c... | 9 | Generate Skills | Generate skills based on the job title. | 400 | Invalid JSON Request | {"context": {}, "errors": ["SyntaxError: Unexpected token o in JSON at position 1"], "data": null} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"context": {"type": "object"}, "errors": {"type": "array", "items": {"type": "string"}}, "data": {"type": "null"}}, "required": ["context", "data", "errors"]} |
fb936bd8-7e43-4678-82a1-0833695f2629/4dea7221-0a7f-43e8-99de-4f95b12a465c/1/0 | Job Description Generator | Job Description Generator API
Generate skills, responsibilities, qualifications, and personalized intro based on the job title.
The workflow would be:
Generate skills from the job title.
Generate responsibilities from the job title and relevant skills from step 1.
Generate qualifications from the job title and relevant skills from step 1.
Generate the role summary.
Generate a personalized intro to entice job seekers to read more and apply.
Make sure to add info about your c... | 9 | Generate Skills | Generate skills based on the job title. | 200 | Valid Response | {"context": {"requestID": "7aa31d99-f88c-4a6a-8932-5bbac1071ffd"}, "errors": [], "data": ["Object-Oriented Programming", "MySQL", "HTML", "CSS", "JavaScript", "AJAX", "XML", "JSON", "Laravel", "Symfony", "CodeIgniter", "Git", "MVC Frameworks", "Linux/Unix", "Apache", "RESTful APIs"]} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"context": {"type": "object", "properties": {"requestID": {"type": "string"}}, "required": ["requestID"]}, "errors": {"type": "array"}, "data": {"type": "array", "items": {"type": "string"}}}, "required": ["context", "data", "errors"]} |
fb936bd8-7e43-4678-82a1-0833695f2629/e286b9d5-3ef2-4523-bdbc-6d688fb6cfa1/0/0 | Job Description Generator | Job Description Generator API
Generate skills, responsibilities, qualifications, and personalized intro based on the job title.
The workflow would be:
Generate skills from the job title.
Generate responsibilities from the job title and relevant skills from step 1.
Generate qualifications from the job title and relevant skills from step 1.
Generate the role summary.
Generate a personalized intro to entice job seekers to read more and apply.
Make sure to add info about your c... | 9 | Generate Personalized Intro | Generate skills based on the job title. | 200 | Valid Response | {"context": {"requestID": "0a151c5e-f81c-4704-ad06-7d71db427188"}, "errors": [], "data": "Are you an experienced PHP Developer looking to take your career to the next level? If so, we want to hear from you! We are looking for an ambitious and motivated individual to join our team and help shape the future of our technology. As a PHP Developer, you will have the opportunity to work on challenging projects and bring innovative ideas to life. If you are excited to take on a new challenge and join a dynamic and growing team, then this is the job for you!"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"context": {"type": "object", "properties": {"requestID": {"type": "string"}}, "required": ["requestID"]}, "errors": {"type": "array"}, "data": {"type": "string"}}, "required": ["context", "data", "errors"]} |
fb936bd8-7e43-4678-82a1-0833695f2629/6d343518-6ed0-43d4-a4d9-248eff16c0e9/0/0 | Job Description Generator | Job Description Generator API
Generate skills, responsibilities, qualifications, and personalized intro based on the job title.
The workflow would be:
Generate skills from the job title.
Generate responsibilities from the job title and relevant skills from step 1.
Generate qualifications from the job title and relevant skills from step 1.
Generate the role summary.
Generate a personalized intro to entice job seekers to read more and apply.
Make sure to add info about your c... | 9 | Generate Qualifications | Generate skills based on the job title. | 200 | Valid Response | {"context": {"requestID": "995b57b0-0d29-4271-9d03-97b60ed82737"}, "errors": [], "data": ["Design and develop applications and system components using PHP 7 and Laravel", "Develop and integrate front-end user interfaces with backend technologies", "Develop and maintain databases using MySQL", "Troubleshoot and debug applications and system components using best practices", "Implement Object-Oriented Programming (OOP) principles and SOLID design principles", "Implement and test security features and requirements", "Analyze user requirements and determine appropriate technical solutions", "Optimize applications and system components for performance, scalability and maintainability", "Research and evaluate new technologies, applications and development techniques", "Provide system maintenance, bug fixes and application upgrades"]} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"context": {"type": "object", "properties": {"requestID": {"type": "string"}}, "required": ["requestID"]}, "errors": {"type": "array"}, "data": {"type": "array", "items": {"type": "string"}}}, "required": ["context", "data", "errors"]} |
fb936bd8-7e43-4678-82a1-0833695f2629/1d624d1e-edc9-442a-85ef-b5a31a650f96/0/0 | Job Description Generator | Job Description Generator API
Generate skills, responsibilities, qualifications, and personalized intro based on the job title.
The workflow would be:
Generate skills from the job title.
Generate responsibilities from the job title and relevant skills from step 1.
Generate qualifications from the job title and relevant skills from step 1.
Generate the role summary.
Generate a personalized intro to entice job seekers to read more and apply.
Make sure to add info about your c... | 9 | Generate Role Summary | Generate skills based on the job title. | 200 | Valid Response | {"context": {"requestID": "439cb02c-2e63-4c77-9708-b9bee19a4be8"}, "errors": [], "data": "We are looking for an experienced and passionate PHP Developer to join our dedicated team. The successful candidate will have extensive experience developing and maintaining web applications with latest version of PHP, MySQL, OOP and SOLID Principles. Experience with Docker is highly desired.\n\nYou'll be developing high quality, scalable, and secure code for our web applications. You should also be able to troubleshoot, test, and maintain the core product software and databases to ensure strong optimization and functionality. Expertise in back-end programming is required. \n\nWe are seeking a highly creative, motivated person who can work independently and in a team, and remain organized and detail-oriented in a fast-paced environment. Strong communication skills and problem-solving capability is a must. If you're up for the challenge, please apply today."} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"context": {"type": "object", "properties": {"requestID": {"type": "string"}}, "required": ["requestID"]}, "errors": {"type": "array"}, "data": {"type": "string"}}, "required": ["context", "data", "errors"]} |
1085e926-2b10-4850-8113-36f98743ede6/67891631-fa43-4999-a9ff-0f2788d4457e/0/0 | Emotion Recognition | Classify text into one of 7 emotions: anger 🤬, disgust 🤢, fear 😨, joy 😀, neutral 😐, sadness 😭, and surprise 😲. | 5.4 | Emotion Recognition | Classify emotions in English text data. Powered by AI. | 200 | Response | [{"label": "joy", "score": 0.9762780666351318}, {"label": "sadness", "score": 0.006413798779249191}, {"label": "neutral", "score": 0.005555825307965279}, {"label": "anger", "score": 0.003799660596996546}, {"label": "surprise", "score": 0.0037724850699305534}, {"label": "disgust", "score": 0.0034403549507260323}, {"label": "fear", "score": 0.0007397727458737791}] | {"type": "array", "items": {"type": "object", "properties": {"label": {"type": "string"}, "score": {"type": "number"}}}} |
4d128686-c2e8-428c-b8d0-90b0e427f65c/4ced7c6d-3d8d-4141-bc1b-a7ebc81c6d04/0/0 | Linguist | Linguist packs all features you need to process text including Counters, Article Parser, Part of Speech (POS) Tagger, Tokenizer, Stemmer, Bad Words Remover, Stop Words Remover, Sentence Segmentation, Spellchecker, Text Summarizer, Definition and Synonyms, Word Frequency, Lemmatize, Pluralize, Singularize, Rhymes, Sounds Like, Spells Like, and Writing Suggestions. | 1.7 | Article Parser | Parse article from a URL | 200 | Response | {"code": 0, "message": "success", "type": "article-parser", "results": {"url": "https://www.gatesnotes.com/Energy/My-message-to-the-world-at-COP26", "title": "My message to the world at COP26", "description": "If we\u2019re going to avoid the worst effects of a climate disaster, we need to make sure zero-carbon alternatives are affordable enough for people all over the world to use them.", "links": ["https://www.gatesnotes.com/Energy/My-message-to-the-world-at-COP26"], "image": "https://media.gatesnotes.com/-/media/Images/Articles/Energy/My-message-to-the-world-at-COP26/cop26-remarks_2021_blogroll_800x494_01.ashx", "content": "html string", "text": "plain string", "author": "Bill Gates", "source": "gatesnotes.com", "published": ""}} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"code": {"type": "integer"}, "message": {"type": "string"}, "type": {"type": "string"}, "results": {"type": "object", "properties": {"url": {"type": "string"}, "title": {"type": "string"}, "description": {"type": "string"}, "links": {"type": "array", "items": {"type": "string"}}, "image": {"type": "string"}, "content": {"type": "string"}, "text": {"type": "string"}, "author": {"type": "string"}, "source": {"type": "string"}, "published": {"type": "string"}}, "required": ["author", "content", "description", "image", "links", "published", "source", "text", "title", "url"]}}, "required": ["code", "message", "results", "type"]} |
4d128686-c2e8-428c-b8d0-90b0e427f65c/72b11eb0-6802-47e2-a036-71493cc0419e/0/0 | Linguist | Linguist packs all features you need to process text including Counters, Article Parser, Part of Speech (POS) Tagger, Tokenizer, Stemmer, Bad Words Remover, Stop Words Remover, Sentence Segmentation, Spellchecker, Text Summarizer, Definition and Synonyms, Word Frequency, Lemmatize, Pluralize, Singularize, Rhymes, Sounds Like, Spells Like, and Writing Suggestions. | 1.7 | Summarizer | Summarize an article or passage to a sentence (or more). | 200 | New Example | {"code": 0, "message": "success", "type": "summarizer", "results": {"summary": "Earlier today, I had the opportunity to address COP26 delegates at the World Leaders Summit."}} | {"type": "object", "properties": {"code": {"type": "integer"}, "message": {"type": "string"}, "type": {"type": "string"}, "results": {"type": "object", "properties": {"summary": {"type": "string"}}}}} |
4d128686-c2e8-428c-b8d0-90b0e427f65c/797412f1-b89d-4662-bd7f-7ea16ba538e1/0/0 | Linguist | Linguist packs all features you need to process text including Counters, Article Parser, Part of Speech (POS) Tagger, Tokenizer, Stemmer, Bad Words Remover, Stop Words Remover, Sentence Segmentation, Spellchecker, Text Summarizer, Definition and Synonyms, Word Frequency, Lemmatize, Pluralize, Singularize, Rhymes, Sounds Like, Spells Like, and Writing Suggestions. | 1.7 | Sentence Segmenter | Break paragraphs to array of sentences. | 200 | New Example | {"code": 0, "message": "success", "type": "sentence-segmenter", "results": ["This is a sentence.", "This is also a sentence.", "Dr. Strange will test the quality."]} | {"type": "object", "properties": {"code": {"type": "integer"}, "message": {"type": "string"}, "type": {"type": "string"}, "results": {"type": "array", "items": {"type": "string"}}}} |
4d128686-c2e8-428c-b8d0-90b0e427f65c/5aabb401-0c93-4e0f-9fba-a20b6c4b1fc9/0/0 | Linguist | Linguist packs all features you need to process text including Counters, Article Parser, Part of Speech (POS) Tagger, Tokenizer, Stemmer, Bad Words Remover, Stop Words Remover, Sentence Segmentation, Spellchecker, Text Summarizer, Definition and Synonyms, Word Frequency, Lemmatize, Pluralize, Singularize, Rhymes, Sounds Like, Spells Like, and Writing Suggestions. | 1.7 | Writing Suggestions | Get writing suggestions. It will check lexical illusion, start with "so", there is and there are's, weasel words, adverbs, too wordy sentences, and cliches. | 200 | New Example | {"code": 0, "message": "success", "type": "writing-suggestions", "results": [{"index": 760, "offset": 4, "reason": "\"vast\" is a weasel word"}, {"index": 765, "offset": 11, "reason": "\"majority of\" is wordy or unneeded"}, {"index": 1040, "offset": 11, "reason": "\"was honored\" may be passive voice"}]} | {"type": "object", "properties": {"code": {"type": "integer"}, "message": {"type": "string"}, "type": {"type": "string"}, "results": {"type": "array", "items": {"type": "object", "properties": {"index": {"type": "integer"}, "offset": {"type": "integer"}, "reason": {"type": "string"}}}}}} |
4d128686-c2e8-428c-b8d0-90b0e427f65c/f1431991-a719-48bd-a985-a7f4ae1d30cd/0/0 | Linguist | Linguist packs all features you need to process text including Counters, Article Parser, Part of Speech (POS) Tagger, Tokenizer, Stemmer, Bad Words Remover, Stop Words Remover, Sentence Segmentation, Spellchecker, Text Summarizer, Definition and Synonyms, Word Frequency, Lemmatize, Pluralize, Singularize, Rhymes, Sounds Like, Spells Like, and Writing Suggestions. | 1.7 | Tokenizer | Tokenize text input | 200 | New Example | {"code": 0, "message": "success", "type": "tokenizer", "results": ["this", "is", "the", "text"]} | {"type": "object", "properties": {"code": {"type": "integer"}, "message": {"type": "string"}, "type": {"type": "string"}, "results": {"type": "array", "items": {"type": "string"}}}} |
4d128686-c2e8-428c-b8d0-90b0e427f65c/66ccb1fb-cd34-4ba4-926f-24e2133e2eb0/0/0 | Linguist | Linguist packs all features you need to process text including Counters, Article Parser, Part of Speech (POS) Tagger, Tokenizer, Stemmer, Bad Words Remover, Stop Words Remover, Sentence Segmentation, Spellchecker, Text Summarizer, Definition and Synonyms, Word Frequency, Lemmatize, Pluralize, Singularize, Rhymes, Sounds Like, Spells Like, and Writing Suggestions. | 1.7 | PoS Tagger | Part of Speech Tagger | 200 | New Example | {"code": 0, "message": "success", "type": "part-of-speech-tagger", "results": [{"value": "this", "tag": "word", "normal": "this", "pos": "DT"}, {"value": "is", "tag": "word", "normal": "is", "pos": "VBZ", "lemma": "be"}, {"value": "example", "tag": "word", "normal": "example", "pos": "NN", "lemma": "example"}, {"value": "string", "tag": "word", "normal": "string", "pos": "NN", "lemma": "string"}]} | {"type": "object", "properties": {"code": {"type": "integer"}, "message": {"type": "string"}, "type": {"type": "string"}, "results": {"type": "array", "items": {"type": "object"}}}} |
4d128686-c2e8-428c-b8d0-90b0e427f65c/88e84671-561e-40d7-bd26-3c83d3eabdbe/0/0 | Linguist | Linguist packs all features you need to process text including Counters, Article Parser, Part of Speech (POS) Tagger, Tokenizer, Stemmer, Bad Words Remover, Stop Words Remover, Sentence Segmentation, Spellchecker, Text Summarizer, Definition and Synonyms, Word Frequency, Lemmatize, Pluralize, Singularize, Rhymes, Sounds Like, Spells Like, and Writing Suggestions. | 1.7 | Stop Words Remover | Remove stop words from text. | 200 | New Example | {"code": 0, "message": "success", "type": "remove-stop-words", "results": {"string": "text test stop words", "tokenized": ["text", "test", "stop", "words"]}} | {"type": "object", "properties": {"code": {"type": "integer"}, "message": {"type": "string"}, "type": {"type": "string"}, "results": {"type": "object", "properties": {"string": {"type": "string"}, "tokenized": {"type": "array", "items": {"type": "string"}}}}}} |
4d128686-c2e8-428c-b8d0-90b0e427f65c/9018031e-f91b-4d3b-a6dc-2ea23a305527/0/0 | Linguist | Linguist packs all features you need to process text including Counters, Article Parser, Part of Speech (POS) Tagger, Tokenizer, Stemmer, Bad Words Remover, Stop Words Remover, Sentence Segmentation, Spellchecker, Text Summarizer, Definition and Synonyms, Word Frequency, Lemmatize, Pluralize, Singularize, Rhymes, Sounds Like, Spells Like, and Writing Suggestions. | 1.7 | Bad Words Remover | Detect profane words and replace it with *s. | 200 | New Example | {"code": 0, "message": "success", "type": "remove-bad-words", "results": {"string": "This is the text used to test bad *****", "tokenized": ["This", "is", "the", "text", "used", "to", "test", "bad", "*****"]}} | {"type": "object", "properties": {"code": {"type": "integer"}, "message": {"type": "string"}, "type": {"type": "string"}, "results": {"type": "object", "properties": {"string": {"type": "string"}, "tokenized": {"type": "array", "items": {"type": "string"}}}}}} |
4d128686-c2e8-428c-b8d0-90b0e427f65c/94f8bb7e-9a2d-4043-8e36-32af5d52e8bc/0/0 | Linguist | Linguist packs all features you need to process text including Counters, Article Parser, Part of Speech (POS) Tagger, Tokenizer, Stemmer, Bad Words Remover, Stop Words Remover, Sentence Segmentation, Spellchecker, Text Summarizer, Definition and Synonyms, Word Frequency, Lemmatize, Pluralize, Singularize, Rhymes, Sounds Like, Spells Like, and Writing Suggestions. | 1.7 | Counter | Count how many words and characters. | 200 | New Example | {"code": 0, "message": "success", "type": "counter", "results": {"words": 9, "characters": 43}} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"code": {"type": "integer"}, "message": {"type": "string"}, "type": {"type": "string"}, "results": {"type": "object", "properties": {"words": {"type": "integer"}, "characters": {"type": "integer"}}, "required": ["characters", "words"]}}, "required": ["code", "message", "results", "type"]} |
0afdf7ae-c1da-45b9-9b40-b640a9977b54/13f1cb22-423b-436b-85e7-80000dfa7cb6/0/0 | PDF to OCR | The "PDF to OCR" API is a powerful tool that allows developers to convert regular PDF documents into PDFs with an OCR (Optical Character Recognition) layer. This API combines the functionalities of PDF processing and OCR technology to enhance the usability and accessibility of PDF files. | 7.5 | request results of uuid | After submission with POST /process-pdf a uuid is returned. This uuid is used to retrieve the result. If a result is available, the response contains the base64 string with a PDF/A with text-layer. | 200 | Example_1 | {"uuid": "", "ocr_file": ""} | {"title": "FileResponseModel", "required": ["uuid", "ocr_file"], "type": "object", "properties": {"uuid": {"title": "Uuid", "type": "string", "format": "uuid"}, "ocr_file": {"title": "Ocr File", "type": "string"}}} |
0afdf7ae-c1da-45b9-9b40-b640a9977b54/13f1cb22-423b-436b-85e7-80000dfa7cb6/1/0 | PDF to OCR | The "PDF to OCR" API is a powerful tool that allows developers to convert regular PDF documents into PDFs with an OCR (Optical Character Recognition) layer. This API combines the functionalities of PDF processing and OCR technology to enhance the usability and accessibility of PDF files. | 7.5 | request results of uuid | After submission with POST /process-pdf a uuid is returned. This uuid is used to retrieve the result. If a result is available, the response contains the base64 string with a PDF/A with text-layer. | 422 | Example_1 | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"title": "HTTPValidationError", "type": "object", "properties": {"detail": {"title": "Detail", "type": "array", "items": {"title": "ValidationError", "required": ["loc", "msg", "type"], "type": "object", "properties": {"loc": {"title": "Location", "type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "integer"}]}}, "msg": {"title": "Message", "type": "string"}, "type": {"title": "Error Type", "type": "string"}}}}}} |
0afdf7ae-c1da-45b9-9b40-b640a9977b54/13f1cb22-423b-436b-85e7-80000dfa7cb6/2/0 | PDF to OCR | The "PDF to OCR" API is a powerful tool that allows developers to convert regular PDF documents into PDFs with an OCR (Optical Character Recognition) layer. This API combines the functionalities of PDF processing and OCR technology to enhance the usability and accessibility of PDF files. | 7.5 | request results of uuid | After submission with POST /process-pdf a uuid is returned. This uuid is used to retrieve the result. If a result is available, the response contains the base64 string with a PDF/A with text-layer. | 400 | Example_1 | {"detail": "", "timestamp": ""} | {"title": "ErrorResponse", "required": ["detail", "timestamp"], "type": "object", "properties": {"detail": {"title": "Detail", "type": "string"}, "timestamp": {"title": "Timestamp", "type": "string", "format": "date-time"}}} |
0afdf7ae-c1da-45b9-9b40-b640a9977b54/13f1cb22-423b-436b-85e7-80000dfa7cb6/3/0 | PDF to OCR | The "PDF to OCR" API is a powerful tool that allows developers to convert regular PDF documents into PDFs with an OCR (Optical Character Recognition) layer. This API combines the functionalities of PDF processing and OCR technology to enhance the usability and accessibility of PDF files. | 7.5 | request results of uuid | After submission with POST /process-pdf a uuid is returned. This uuid is used to retrieve the result. If a result is available, the response contains the base64 string with a PDF/A with text-layer. | 202 | Example_1 | {"message": "", "queue_position": 0} | {"title": "QueueInformation", "required": ["message", "queue_position"], "type": "object", "properties": {"message": {"title": "Message", "type": "string"}, "queue_position": {"title": "Queue Position", "type": "integer"}}} |
0afdf7ae-c1da-45b9-9b40-b640a9977b54/13f1cb22-423b-436b-85e7-80000dfa7cb6/4/0 | PDF to OCR | The "PDF to OCR" API is a powerful tool that allows developers to convert regular PDF documents into PDFs with an OCR (Optical Character Recognition) layer. This API combines the functionalities of PDF processing and OCR technology to enhance the usability and accessibility of PDF files. | 7.5 | request results of uuid | After submission with POST /process-pdf a uuid is returned. This uuid is used to retrieve the result. If a result is available, the response contains the base64 string with a PDF/A with text-layer. | 429 | Example_1 | {"detail": "", "timestamp": ""} | {"title": "ErrorResponse", "required": ["detail", "timestamp"], "type": "object", "properties": {"detail": {"title": "Detail", "type": "string"}, "timestamp": {"title": "Timestamp", "type": "string", "format": "date-time"}}} |
0afdf7ae-c1da-45b9-9b40-b640a9977b54/6b119e90-3717-4e58-8a5f-4a62fab88824/0/0 | PDF to OCR | The "PDF to OCR" API is a powerful tool that allows developers to convert regular PDF documents into PDFs with an OCR (Optical Character Recognition) layer. This API combines the functionalities of PDF processing and OCR technology to enhance the usability and accessibility of PDF files. | 7.5 | process-pdf | Submit a pdf file in base64 format to the endpoint. The file will be processes as soon a worker is free. | 201 | Example_1 | {"uuid": ""} | {"title": "SuccessfulResponse", "required": ["uuid"], "type": "object", "properties": {"uuid": {"title": "Uuid", "type": "string", "format": "uuid"}}} |
0afdf7ae-c1da-45b9-9b40-b640a9977b54/6b119e90-3717-4e58-8a5f-4a62fab88824/1/0 | PDF to OCR | The "PDF to OCR" API is a powerful tool that allows developers to convert regular PDF documents into PDFs with an OCR (Optical Character Recognition) layer. This API combines the functionalities of PDF processing and OCR technology to enhance the usability and accessibility of PDF files. | 7.5 | process-pdf | Submit a pdf file in base64 format to the endpoint. The file will be processes as soon a worker is free. | 400 | Example_1 | {"detail": "", "timestamp": ""} | {"title": "ErrorResponse", "required": ["detail", "timestamp"], "type": "object", "properties": {"detail": {"title": "Detail", "type": "string"}, "timestamp": {"title": "Timestamp", "type": "string", "format": "date-time"}}} |
0afdf7ae-c1da-45b9-9b40-b640a9977b54/6b119e90-3717-4e58-8a5f-4a62fab88824/2/0 | PDF to OCR | The "PDF to OCR" API is a powerful tool that allows developers to convert regular PDF documents into PDFs with an OCR (Optical Character Recognition) layer. This API combines the functionalities of PDF processing and OCR technology to enhance the usability and accessibility of PDF files. | 7.5 | process-pdf | Submit a pdf file in base64 format to the endpoint. The file will be processes as soon a worker is free. | 404 | Example_1 | {"detail": "", "timestamp": ""} | {"title": "ErrorResponse", "required": ["detail", "timestamp"], "type": "object", "properties": {"detail": {"title": "Detail", "type": "string"}, "timestamp": {"title": "Timestamp", "type": "string", "format": "date-time"}}} |
0afdf7ae-c1da-45b9-9b40-b640a9977b54/6b119e90-3717-4e58-8a5f-4a62fab88824/3/0 | PDF to OCR | The "PDF to OCR" API is a powerful tool that allows developers to convert regular PDF documents into PDFs with an OCR (Optical Character Recognition) layer. This API combines the functionalities of PDF processing and OCR technology to enhance the usability and accessibility of PDF files. | 7.5 | process-pdf | Submit a pdf file in base64 format to the endpoint. The file will be processes as soon a worker is free. | 422 | Example_1 | {"detail": "", "timestamp": ""} | {"title": "ErrorResponse", "required": ["detail", "timestamp"], "type": "object", "properties": {"detail": {"title": "Detail", "type": "string"}, "timestamp": {"title": "Timestamp", "type": "string", "format": "date-time"}}} |
0afdf7ae-c1da-45b9-9b40-b640a9977b54/6b119e90-3717-4e58-8a5f-4a62fab88824/4/0 | PDF to OCR | The "PDF to OCR" API is a powerful tool that allows developers to convert regular PDF documents into PDFs with an OCR (Optical Character Recognition) layer. This API combines the functionalities of PDF processing and OCR technology to enhance the usability and accessibility of PDF files. | 7.5 | process-pdf | Submit a pdf file in base64 format to the endpoint. The file will be processes as soon a worker is free. | 413 | Example_1 | {"detail": "", "timestamp": ""} | {"title": "ErrorResponse", "required": ["detail", "timestamp"], "type": "object", "properties": {"detail": {"title": "Detail", "type": "string"}, "timestamp": {"title": "Timestamp", "type": "string", "format": "date-time"}}} |
0afdf7ae-c1da-45b9-9b40-b640a9977b54/6b119e90-3717-4e58-8a5f-4a62fab88824/5/0 | PDF to OCR | The "PDF to OCR" API is a powerful tool that allows developers to convert regular PDF documents into PDFs with an OCR (Optical Character Recognition) layer. This API combines the functionalities of PDF processing and OCR technology to enhance the usability and accessibility of PDF files. | 7.5 | process-pdf | Submit a pdf file in base64 format to the endpoint. The file will be processes as soon a worker is free. | 429 | Example_1 | {"detail": "", "timestamp": ""} | {"title": "ErrorResponse", "required": ["detail", "timestamp"], "type": "object", "properties": {"detail": {"title": "Detail", "type": "string"}, "timestamp": {"title": "Timestamp", "type": "string", "format": "date-time"}}} |
9cb68b2a-09c6-4a16-a9d6-0566365d7c6c/eeb734b6-2e91-465d-9525-89ce2f209f70/0/0 | Treediff | Human-readable text comparisons, 2 and 3-way diff, merge and more. | 7.9 | merge | Request the 3-way merge between a head, a compare and a base value.
The base value serves as the "common ancestor". | 200 | Response | [{"content": "The quick brown fox jumps over the lazy dog"}] | {"$schema": "http://json-schema.org/schema#", "type": "array", "items": {"type": "object", "properties": {"content": {"type": "string"}}, "required": ["content"]}} |
9cb68b2a-09c6-4a16-a9d6-0566365d7c6c/eb29709c-211f-4b47-a852-3ce78b43cdda/0/0 | Treediff | Human-readable text comparisons, 2 and 3-way diff, merge and more. | 7.9 | diff | Request diffs between a head and a compare and optional base value.
Adding a base param triggers the 3-way diff with base as the "common ancestor". | 200 | Response | [{"value": "One", "type": "delete"}, {"value": "Another", "type": "insert"}, {"value": " text", "type": "equal"}] | {"$schema": "http://json-schema.org/schema#", "type": "array", "items": {"type": "object", "properties": {"value": {"type": "string"}, "type": {"type": "string"}}, "required": ["type", "value"]}} |
ade3d05e-b4f1-409f-9441-b4ce5c2ed12b/1fead63e-8b8a-4256-bc79-bb81acb30b50/0/0 | Language Detection | Instantly identify the language of any text with high accuracy. Integrate seamlessly into your applications and platforms for real-time language identification. | 8.6 | Language Detection | This endpoint allows users to detect the language of a given text. Using sophisticated algorithms, it quickly and accurately identifies among multiple languages, making it a powerful tool for various applications ranging from content management to customer service. | 200 | Test UK text | {"decision": {"uk": 0.31102677630191866, "ru": 0.28403963736032045, "sr-Cyrl": 0.2796542272823108, "bs-Cyrl": 0.27328694918827745, "bg": 0.25865485979337977, "be": 0.2420619860847565, "tt": 0.22643896268184693, "uz": 0.21832173729706938, "mn-Cyrl": 0.17273877292852624, "az-Cyrl": 0.1703773982711364}} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"decision": {"type": "object", "properties": {"uk": {"type": "number"}, "ru": {"type": "number"}, "sr-Cyrl": {"type": "number"}, "bs-Cyrl": {"type": "number"}, "bg": {"type": "number"}, "be": {"type": "number"}, "tt": {"type": "number"}, "uz": {"type": "number"}, "mn-Cyrl": {"type": "number"}, "az-Cyrl": {"type": "number"}}, "required": ["az-Cyrl", "be", "bg", "bs-Cyrl", "mn-Cyrl", "ru", "sr-Cyrl", "tt", "uk", "uz"]}}, "required": ["decision"]} |
a97a9aba-8e4e-40f6-b15e-2cb0fda1c598/0812fe3d-4c09-4165-aac7-1ddfa28b6365/0/0 | Mobile phone validation | Extract and validate mobile/cell/phone numbers from text, get extra info and various number formats. | 8.9 | extract_fast | Find and format/validate Phone/Cell numbers in given text.
Country used to identify number format and highly recommended to set value in case you know it (as example your shop works only in US and clients have US cellnumbers).
Use 'country_auto' param in /extract endpoint case you can't provide Country and service will try to guess the country :) | 200 | Example_1 | {"nums": [{"isValid": true, "countryCode": "", "city": "", "msisdn": "", "national": "", "international": "", "E164": "", "carrier": "", "country": "", "number_type": ""}], "state": {}} | {"title": "Validate method responce", "type": "object", "properties": {"nums": {"title": "Nums", "type": "array", "items": {"title": "responce", "type": "object", "properties": {"isValid": {"title": "Isvalid", "type": "boolean", "description": "Shows if number valid due scheme", "default": false}, "countryCode": {"title": "Countrycode", "type": "string", "description": "Cell number country code"}, "city": {"title": "City", "type": "string", "description": "If known: city, county name or empty"}, "msisdn": {"title": "Msisdn", "type": "string", "description": "Country code + national number"}, "national": {"title": "National", "type": "string", "description": "Cell number formatted as national number"}, "international": {"title": "International", "type": "string", "description": "Cell number formatted as international number"}, "E164": {"title": "E164", "type": "string", "description": "Cell number formatted in E164 format"}, "carrier": {"title": "Carrier", "type": "string", "description": "Carrier name if known"}, "country": {"title": "Country", "type": "string", "description": "Country name if known"}, "number_type": {"title": "Number Type", "type": "string", "description": "Number type - mobile, fixed, etc"}}}, "default": []}, "state": {"title": "State", "type": "object", "additionalProperties": {"type": "string"}, "default": {}}}} |
a97a9aba-8e4e-40f6-b15e-2cb0fda1c598/0812fe3d-4c09-4165-aac7-1ddfa28b6365/1/0 | Mobile phone validation | Extract and validate mobile/cell/phone numbers from text, get extra info and various number formats. | 8.9 | extract_fast | Find and format/validate Phone/Cell numbers in given text.
Country used to identify number format and highly recommended to set value in case you know it (as example your shop works only in US and clients have US cellnumbers).
Use 'country_auto' param in /extract endpoint case you can't provide Country and service will try to guess the country :) | 422 | Example_1 | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"title": "HTTPValidationError", "type": "object", "properties": {"detail": {"title": "Detail", "type": "array", "items": {"title": "ValidationError", "required": ["loc", "msg", "type"], "type": "object", "properties": {"loc": {"title": "Location", "type": "array", "items": {"type": "string"}}, "msg": {"title": "Message", "type": "string"}, "type": {"title": "Error Type", "type": "string"}}}}}} |
a97a9aba-8e4e-40f6-b15e-2cb0fda1c598/7525b10c-18d6-4854-a6d6-a58ae9ff31dc/0/0 | Mobile phone validation | Extract and validate mobile/cell/phone numbers from text, get extra info and various number formats. | 8.9 | extract | Find and format/validate Phone/Cell numbers in given text.
Country used to identify number format and highly recommended to set value in case you know it (as example your shop works only in US and clients have US cellnumbers).
Use 'country_auto' param in case you can't provide Country and service will try to guess the country :). Country recognition not very fast. Read docs to explain possible values. | 200 | Example_1 | {"nums": [{"isValid": true, "countryCode": "", "city": "", "msisdn": "", "national": "", "international": "", "E164": "", "carrier": "", "country": "", "number_type": ""}], "state": {}} | {"title": "Validate method responce", "type": "object", "properties": {"nums": {"title": "Nums", "type": "array", "items": {"title": "responce", "type": "object", "properties": {"isValid": {"title": "Isvalid", "type": "boolean", "description": "Shows if number valid due scheme", "default": false}, "countryCode": {"title": "Countrycode", "type": "string", "description": "Cell number country code"}, "city": {"title": "City", "type": "string", "description": "If known: city, county name or empty"}, "msisdn": {"title": "Msisdn", "type": "string", "description": "Country code + national number"}, "national": {"title": "National", "type": "string", "description": "Cell number formatted as national number"}, "international": {"title": "International", "type": "string", "description": "Cell number formatted as international number"}, "E164": {"title": "E164", "type": "string", "description": "Cell number formatted in E164 format"}, "carrier": {"title": "Carrier", "type": "string", "description": "Carrier name if known"}, "country": {"title": "Country", "type": "string", "description": "Country name if known"}, "number_type": {"title": "Number Type", "type": "string", "description": "Number type - mobile, fixed, etc"}}}, "default": []}, "state": {"title": "State", "type": "object", "additionalProperties": {"type": "string"}, "default": {}}}} |
a97a9aba-8e4e-40f6-b15e-2cb0fda1c598/7525b10c-18d6-4854-a6d6-a58ae9ff31dc/1/0 | Mobile phone validation | Extract and validate mobile/cell/phone numbers from text, get extra info and various number formats. | 8.9 | extract | Find and format/validate Phone/Cell numbers in given text.
Country used to identify number format and highly recommended to set value in case you know it (as example your shop works only in US and clients have US cellnumbers).
Use 'country_auto' param in case you can't provide Country and service will try to guess the country :). Country recognition not very fast. Read docs to explain possible values. | 422 | Example_1 | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"title": "HTTPValidationError", "type": "object", "properties": {"detail": {"title": "Detail", "type": "array", "items": {"title": "ValidationError", "required": ["loc", "msg", "type"], "type": "object", "properties": {"loc": {"title": "Location", "type": "array", "items": {"type": "string"}}, "msg": {"title": "Message", "type": "string"}, "type": {"title": "Error Type", "type": "string"}}}}}} |
d2c69e2f-90de-4f09-8ee1-969f2f1f08f9/8f2582ae-f9a7-4fd6-a467-83b61b452f35/0/0 | Cyber Guardian | A highly configurable and precise solution for augmenting your moderation needs, scalable and adaptable for various platforms. State-of-the-art detection of cyberbullying, verbal aggression and toxic messages powered by Samurai Labs’ neuro-symbolic AI along with a suite of moderation tools that empowers you to maintain peace in your community. Protect your community and integrate the Cyber Guardian into your moderation suite with this easy to set up API. Use the "setup" endpoint to initialize... | 8.7 | setup | Generates a link that grants access to the configuration dashboard for the Cyber Guardian and redirects you to it, already logged in through Rapid. | 200 | Default Example | {"url": "https://app.samurailabs.ai/?token=XXXXX"} | {"type": "object", "properties": {"url": {"type": "string"}}} |
d2c69e2f-90de-4f09-8ee1-969f2f1f08f9/5c1ac5bb-0eba-41ce-8089-a5e85f44a589/0/0 | Cyber Guardian | A highly configurable and precise solution for augmenting your moderation needs, scalable and adaptable for various platforms. State-of-the-art detection of cyberbullying, verbal aggression and toxic messages powered by Samurai Labs’ neuro-symbolic AI along with a suite of moderation tools that empowers you to maintain peace in your community. Protect your community and integrate the Cyber Guardian into your moderation suite with this easy to set up API. Use the "setup" endpoint to initialize... | 8.7 | executions | An API endpoint which stores the details of the moderation action taken in response to the detections endpoint. | 200 | New Example | {"data": "Moderation action execution has been stored"} | {"type": "object", "properties": {"data": {"type": "string", "description": "Informs that the moderation action execution has been stored"}}} |
d2c69e2f-90de-4f09-8ee1-969f2f1f08f9/8efc2cd2-cb6e-4cc0-92aa-b78a8065480e/0/0 | Cyber Guardian | A highly configurable and precise solution for augmenting your moderation needs, scalable and adaptable for various platforms. State-of-the-art detection of cyberbullying, verbal aggression and toxic messages powered by Samurai Labs’ neuro-symbolic AI along with a suite of moderation tools that empowers you to maintain peace in your community. Protect your community and integrate the Cyber Guardian into your moderation suite with this easy to set up API. Use the "setup" endpoint to initialize... | 8.7 | detections | An API endpoint which returns an analysis of the detected content of a given message in regards to the current API configuration | 200 | Default Example | {"detected_msg_id": "990937195495968818", "detected_msg_author_id": "419130737149739008", "detected_application_id": "928990565536784494", "detected_channel_id": "928990565536784497", "timestamp": 1656328238, "application_custom_data": {}, "detection_details": {"in_citation_detection": false, "copypasta_detection": false, "original_text": "Who the fxck do you think you are b1tch", "original_tags": "Strong Personal Attack: Interlocutor; Strong Profanity: General; Strong Profanity: Misogynistic; Strong Sexual Remark", "original_type": "Violence", "resulting_text": "who the fuck do you think you are bitch.", "resulting_tags": "Strong Personal Attack: Interlocutor; Strong Sexual Remark", "resulting_type": "Violence"}, "decision_based_on": [{"config_element_action": "REMOVE", "config_element_type": "Category Action Group", "config_element_name": "automatic_list_1"}], "actions_to_take": [{"action": "REMOVE", "parameters": {}}, {"action": "KICK", "parameters": {}}, {"action": "MUTE", "parameters": {"duration": "60"}}, {"action": "BAN", "parameters": {"duration": "60"}}, {"action": "DM", "parameters": {"text": "you are naughty"}}, {"action": "POST", "parameters": {"text": "user was naughty"}}, {"action": "MANUAL_MODERATION", "parameters": {"mute_duration": 3600, "ban_duration": 3600}}]} | {"type": "object", "properties": {"detected_msg_author_id": {"type": "string", "description": "ID of the author of the detected message"}, "detected_msg_id": {"type": "string", "description": "ID used to identify the detected message"}, "detected_channel_id": {"type": "string", "description": "ID of the message stream (i.e. a channel of a Discord server) in which the message was detected"}, "detected_application_id": {"type": "string", "description": "ID of the workspace (i.e. the guild ID for Discord) in which the message was detected"}, "timestamp": {"type": "integer", "description": "Timestamp of when the message was detected"}, "application_custom_data": {"type": "object", "description": "Contains fields that specify behavior particular to individual platforms"}, "detection_details": {"type": "object", "description": "Details of what was detected in the message", "properties": {"in_citation_detection": {"type": "bool", "description": "Informs the API whether to include a module for recognizing if the detected message was part of a quote or not"}, "copypasta_detection": {"type": "bool", "description": "Informs the API whether to include a module for recognizing if the detected message was part of a copypasta or not"}, "original_text": {"type": "string", "description": "The input text provided in the request before any potential whitelisted words are removed"}, "original_tags": {"type": "string", "description": "Tags of the categories detected in the original text, including all categories even ones that are whitelisted in the configuration"}, "original_type": {"type": "string", "description": "The type of violence (severity) of the detected message based on the original text"}, "resulting_text": {"type": "string", "description": "The input text after any potential whitelisted words were already removed"}, "resulting_tags": {"type": "string", "description": "Tags of the categories detected in the original text, without whitelisted ones"}, "resulting_type": {"type": "string", "description": "The type of violence (severity) of the detected message based on the resulting text"}}}, "decision_based_on": {"type": "array", "description": "Details informing on what basis the decision regarding the action to take was made (especially important if several factors were taken into account)", "items": {"type": "object", "description": "Details informing on what basis the decision regarding the action to take was made (especially important if several factors were taken into account)", "properties": {"config_element_action": {"type": "string", "description": "The action specified by the configuration for this particular detection"}, "config_element_type": {"type": "string", "description": "Which type of configuration element specifies the action for this particular detection"}, "config_element_name": {"type": "string", "description": "The name of the configuration element that specifies the action for this particular detection"}}}}, "actions_to_take": {"type": "array", "description": "A list of simple actions including moderation actions regarding the message and the user as well as messages sent by the bot and manual moderation notifications", "items": {"type": "object", "description": "A list of simple actions including moderation actions regarding the message and the user as well as messages sent by the bot and manual moderation notifications", "properties": {"action": {"type": "string", "description": "REMOVE / KICK / MUTE / BAN / DM / POST / MANUAL_MODERATION"}, "parameters": {"type": "object", "description": "Specifies the text to be sent in case of DM/POST actions and the duration in case of MUTE/BAN/MANUAL_MODERATION actions"}}}}}} |
15a74d60-646e-4fe2-8446-38361a5c8bf7/659282ba-5b77-42fb-8bd5-38e5a694bdfc/0/0 | sentiment-api | sentiment analysis | null | /dev | returns the sentiment values with confidence for any given input of the user, requires an api key | 200 | Example_1 | {"score": 3, "comparative": 0, "calculation": {}, "tokens": ["this", "is", "a", "great", "tool"], "words": ["great"], "positive": ["great"], "negative": []} | {"type": "object", "properties": {"score": {"type": "integer", "format": "int64", "minimum": -9223372036854776000, "maximum": 9223372036854776000}, "comparative": {"type": "number"}, "calculation": {"type": "object", "items": {"type": "object", "properties": {"great": {"type": "integer"}}}}, "tokens": {"type": "string", "items": {"type": "string"}}, "words": {"type": "string", "items": {"type": "string"}}, "positive": {"type": "string", "items": {"type": "string"}}, "negative": {"type": "string"}}} |
15a74d60-646e-4fe2-8446-38361a5c8bf7/25014a08-2593-4321-b151-60e84d82841d/0/0 | sentiment-api | sentiment analysis | null | /dev/create-key | creating the key based on user id from our private mongoDB. | 200 | Example_1 | {"apiKey": "3yC+7VtIacK09UTwIt8VVCfuIqBzkMFSV3EE+AjY", "message": "Success Creating a new api-key"} | {"type": "object", "properties": {"apiKey": {"type": "string"}, "message": {"type": "string"}}} |
f2e96509-50f3-4438-a050-448bff25892d/e6af5341-5fa4-48ad-8a89-8cae7e6d5333/0/0 | Text Sentiment Analysis | Analyze and determine the sentiment (positive or negative) expressed in text data. With this API, you can integrate sentiment analysis capabilities into your applications, platforms, or services, allowing you to gain insights into the emotions, opinions, or attitudes conveyed within textual content. | 7.1 | Detect Sentiment | Detect Sentiment | 200 | New Example | {"status": "ok", "error": null, "data": {"score": 7, "comparative": 0.3333333333333333, "calculation": [{"fantastic": 4}, {"excited": 3}]}} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"status": {"type": "string"}, "error": {"type": "null"}, "data": {"type": "object", "properties": {"score": {"type": "integer"}, "comparative": {"type": "number"}, "calculation": {"type": "array", "items": {"type": "object", "properties": {"fantastic": {"type": "integer"}, "excited": {"type": "integer"}}}}}, "required": ["calculation", "comparative", "score"]}}, "required": ["data", "error", "status"]} |
8fb3f7de-fbe5-4e1c-a9da-3db71faf3e95/7e0d8568-9fe4-40ab-9f43-279ec42e53d7/0/0 | Profanity Detection | Pass in text, get back a JSON array telling you which words in it are profane. | 7.3 | Profanity Check | You can pass any plain text to the profanity detector API to be examined for profanity. You can also specify how sensitive you would like the profanity detector to be. Works with English content only. | 200 | Response | {"profanities": [{"length": 7, "profanity": "fucking", "start": 8, "type": "sexual"}], "profanity_count": 1, "response_timestamp": 1613034334, "result": "success", "server_reference": "web1"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"profanities": {"type": "array", "items": {"type": "object", "properties": {"length": {"type": "integer"}, "profanity": {"type": "string"}, "start": {"type": "integer"}, "type": {"type": "string"}}, "required": ["length", "profanity", "start", "type"]}}, "profanity_count": {"type": "integer"}, "response_timestamp": {"type": "integer"}, "result": {"type": "string"}, "server_reference": {"type": "string"}}, "required": ["profanities", "profanity_count", "response_timestamp", "result", "server_reference"]} |
7927e6a0-6e04-44e5-9ea0-9b30e2d4b2ca/1a56f24e-bbbc-4fb2-80ee-7734b978c321/0/0 | UrlDetector | Better-than-regex, comprehensive and flexible detection of urls in text / HTML / JSON etc. Capable of parsing many schemes, domain formats and input text formats. Need higher usage, custom integration or additional features? Contact us for custom pricing. | 0 | Detect Urls | Parse a chunk of text and retrieve the urls detected. Default to 'Default' detection option, request can include multiple Detection Options to customize detection logic. | 200 | Response | {"offset": 0, "responseStatus": null, "results": [{"fragment": "", "host": "www.abc.com", "isEmailLike": false, "originalUrl": "www.abc.com", "password": "", "path": "", "port": null, "query": "", "scheme": "", "username": ""}, {"fragment": "", "host": "www.def.com", "isEmailLike": false, "originalUrl": "www.def.com", "password": "", "path": "", "port": null, "query": "", "scheme": "", "username": ""}, {"fragment": "", "host": "google.com", "isEmailLike": false, "originalUrl": "google.com", "password": "", "path": "", "port": null, "query": "", "scheme": "", "username": ""}, {"fragment": "", "host": "127.0.0.1", "isEmailLike": false, "originalUrl": "http://127.0.0.1:8080?test=bolah", "password": "", "path": "", "port": 8080, "query": "?test=bolah", "scheme": "http", "username": ""}, {"fragment": "", "host": "linkEDEin.com", "isEmailLike": false, "originalUrl": "http://linkEDEin.com/abc", "password": "", "path": "/abc", "port": null, "query": "", "scheme": "http", "username": ""}, {"fragment": "", "host": "liACBedin.com", "isEmailLike": false, "originalUrl": "http://liACBedin.com/abc", "password": "", "path": "/abc", "port": null, "query": "", "scheme": "http", "username": ""}, {"fragment": "", "host": "linkedXnX.net", "isEmailLike": false, "originalUrl": "linkedXnX.net", "password": "", "path": "", "port": null, "query": "", "scheme": "", "username": ""}], "total": 7} | {"properties": {"Offset": {"type": "integer"}, "ResponseStatus": {"properties": {"ErrorCode": {"type": "string"}, "Errors": {"items": {"properties": {"ErrorCode": {"type": "string"}, "FieldName": {"type": "string"}, "Message": {"type": "string"}, "Meta": {"type": "object"}}, "type": "object"}, "type": "array"}, "Message": {"type": "string"}, "Meta": {"type": "object"}, "StackTrace": {"type": "string"}}, "type": "object"}, "Results": {"items": {"properties": {"Fragment": {"type": "string"}, "Host": {"type": "string"}, "OriginalUrl": {"type": "string"}, "Password": {"type": "string"}, "Path": {"type": "string"}, "Port": {"type": "integer"}, "Query": {"type": "string"}, "Scheme": {"type": "string"}, "Username": {"type": "string"}}, "type": "object"}, "type": "array"}, "Total": {"type": "integer"}}, "type": "object"} |
a73ff515-ae0c-4ada-a846-f488f067b896/e11df9a4-e829-4f00-87e3-fb72b0244c7c/0/0 | Text Sentiment Analyzer | Text Sentiment Analyzer inspects the given text or URL and identifies the prevailing emotional opinion within the text, especially to determine a writer's attitude as positive, negative, or neutral. Sentiment analysis is performed through a specifically trained AI. | null | Text Sentiment Analyzer | Text Sentiment Analyzer inspects the given text and identifies the prevailing emotional opinion within the text, especially to determine a writer's attitude as positive, negative, or neutral. Sentiment analysis is performed through a specifically trained AI. | 200 | New Example | {"sentiment": {"score": 0.7, "strength": 2.1}, "language": "en", "sentences": [{"text": {"content": "Never give up, life goes on and the road does not end.", "beginOffset": 0}, "sentiment": {"score": 0.9, "strength": 0.9}}, {"text": {"content": "Raise your head and believe in your abilities.", "beginOffset": 55}, "sentiment": {"score": 0.4, "strength": 0.4}}, {"text": {"content": "You will always attain what you propose to yourself if you really want it.", "beginOffset": 102}, "sentiment": {"score": 0.8, "strength": 0.8}}], "response_code": 200, "response_message": "Success", "time_taken": 0.5125129222869873} | {"type": "object", "properties": {"sentiment": {"type": "object", "properties": {"score": {"type": "number"}, "strength": {"type": "number"}}}, "language": {"type": "string"}, "sentences": {"type": "array", "items": {"type": "object", "properties": {"text": {"type": "object", "properties": {"content": {"type": "string"}, "beginOffset": {"type": "integer"}}}, "sentiment": {"type": "object", "properties": {"score": {"type": "number"}, "strength": {"type": "number"}}}}}}, "response_code": {"type": "integer"}, "response_message": {"type": "string"}, "time_taken": {"type": "number"}}} |
a73ff515-ae0c-4ada-a846-f488f067b896/e11df9a4-e829-4f00-87e3-fb72b0244c7c/1/0 | Text Sentiment Analyzer | Text Sentiment Analyzer inspects the given text or URL and identifies the prevailing emotional opinion within the text, especially to determine a writer's attitude as positive, negative, or neutral. Sentiment analysis is performed through a specifically trained AI. | null | Text Sentiment Analyzer | Text Sentiment Analyzer inspects the given text and identifies the prevailing emotional opinion within the text, especially to determine a writer's attitude as positive, negative, or neutral. Sentiment analysis is performed through a specifically trained AI. | 401 | New Example | {"response_code": 401, "response_message": "You must provide a text or a valid url.", "time_taken": 0.002582073211669922} | {"type": "object", "properties": {"response_code": {"type": "integer"}, "response_message": {"type": "string"}, "time_taken": {"type": "number"}}} |
49915053-92de-4701-8b72-bcc76a9aa569/72df17be-d363-43cb-bff3-15d295ae8df0/0/0 | Keyword Density | Get keyword density analyzing a text. Discover how many times your keyword is occurring on any article, so that you can better optimize your page for SEO or other text analysis. | 0 | Keyword Occurences | Submit a text and immediately get a list of relevant words with number of occurences. | 200 | Response | {"status": "ok", "text_words": "18", "unique_keywords": "15", "density": [{"text": 3, "is": 2, "this": 1, "a": 1, "sample": 1, "and": 1, "i": 1, "love": 1, "working": 1, "with": 1, "documents": 1, "because": 1, "analysis": 1, "my": 1, "passion": 1}]} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"status": {"type": "string"}, "text_words": {"type": "string"}, "unique_keywords": {"type": "string"}, "density": {"type": "array", "items": {"type": "object", "properties": {"text": {"type": "integer"}, "is": {"type": "integer"}, "this": {"type": "integer"}, "a": {"type": "integer"}, "sample": {"type": "integer"}, "and": {"type": "integer"}, "i": {"type": "integer"}, "love": {"type": "integer"}, "working": {"type": "integer"}, "with": {"type": "integer"}, "documents": {"type": "integer"}, "because": {"type": "integer"}, "analysis": {"type": "integer"}, "my": {"type": "integer"}, "passion": {"type": "integer"}}, "required": ["a", "analysis", "and", "because", "documents", "i", "is", "love", "my", "passion", "sample", "text", "this", "with", "working"]}}}, "required": ["density", "status", "text_words", "unique_keywords"]} |
49915053-92de-4701-8b72-bcc76a9aa569/d7130526-a7a9-4671-b9ac-d25368ec1ceb/0/0 | Keyword Density | Get keyword density analyzing a text. Discover how many times your keyword is occurring on any article, so that you can better optimize your page for SEO or other text analysis. | 0 | Keyword Density | Submit a text and immediately get a list of relevant words with density (percentage). | 200 | Response | {"status": "ok", "text_words": "18", "unique_keywords": "15", "density": [{"text": "17", "is": "11", "this": "6", "a": "6", "sample": "6", "and": "6", "i": "6", "love": "6", "working": "6", "with": "6", "documents": "6", "because": "6", "analysis": "6", "my": "6", "passion": "6"}]} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"status": {"type": "string"}, "text_words": {"type": "string"}, "unique_keywords": {"type": "string"}, "density": {"type": "array", "items": {"type": "object", "properties": {"text": {"type": "string"}, "is": {"type": "string"}, "this": {"type": "string"}, "a": {"type": "string"}, "sample": {"type": "string"}, "and": {"type": "string"}, "i": {"type": "string"}, "love": {"type": "string"}, "working": {"type": "string"}, "with": {"type": "string"}, "documents": {"type": "string"}, "because": {"type": "string"}, "analysis": {"type": "string"}, "my": {"type": "string"}, "passion": {"type": "string"}}, "required": ["a", "analysis", "and", "because", "documents", "i", "is", "love", "my", "passion", "sample", "text", "this", "with", "working"]}}}, "required": ["density", "status", "text_words", "unique_keywords"]} |
80a0f3e2-f33a-4f5c-a311-20f413e21760/633f0680-164d-4a46-b3d5-0db903e372d5/0/0 | Abstractive News Summarization | Abstractive Summarization is a task in Natural Language Processing (NLP) that aims to generate a concise summary of a source text. ... Abstractive summarization yields a number of applications in different domains, from books and literature, to science and R&D, to financial research and legal documents analysis. | null | newsSummarize | News summarize | 200 | Response | {"author": "codewalker7", "email": "codewalker7@pm.me", "news_summarize": "Deputy Foreign Minister Sergey Ryabkov suggested the talks had reached \"a dead-end or a difference in approaches\" because the US and NATO would not address Moscow's demands about Ukraine never joining NATO. The US Ambassador to the OSCE Michael Carpenter said, \"The rhetoric has gotten rather shrill.\" Notably, Russian officials have suggested they were poised to abandon the talks over de-escalation and diplomacy.nnnnnnnnnnnnnnnnnnng"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"author": {"type": "string"}, "email": {"type": "string"}, "news_summarize": {"type": "string"}}, "required": ["author", "email", "news_summarize"]} |
b6c98c36-a238-4480-8047-3ca9831be100/ae275514-25c9-4780-8a07-29c59a169ce0/0/0 | Text Generator | Generate text, create chat bots, perform question answering, classification, language translation, prediction across a variety of domains via 'prompt engineering' asking questions in a familiar way to human conversation. Under the hood we use very large language models trained on broad human language.
https://text-generator.io | null | Text Generator API | Generate Text | 422 | Example_1 | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"title": "HTTPValidationError", "type": "object", "properties": {"detail": {"title": "Detail", "type": "array", "items": {"title": "ValidationError", "required": ["loc", "msg", "type"], "type": "object", "properties": {"loc": {"title": "Location", "type": "array", "items": {"type": "string"}}, "msg": {"title": "Message", "type": "string"}, "type": {"title": "Error Type", "type": "string"}}}}}} |
b6c98c36-a238-4480-8047-3ca9831be100/ae275514-25c9-4780-8a07-29c59a169ce0/1/0 | Text Generator | Generate text, create chat bots, perform question answering, classification, language translation, prediction across a variety of domains via 'prompt engineering' asking questions in a familiar way to human conversation. Under the hood we use very large language models trained on broad human language.
https://text-generator.io | null | Text Generator API | Generate Text | 200 | One Sentence | [{"generated_text": "Hello world! How are you? ", "stop_reason": "max_length"}] | {"title": "GenerateResponse", "required": ["text"], "type": "array", "items": {"type": "object", "properties": {"generated_text": {"title": "Text", "type": "string", "description": "Text input, predicts what comes afterward"}, "stop_reason": {"title": "stop_reason", "type": "string", "default": 1, "description": "the stopping sequence seen that triggered stopping or a different stop reason \"max_length\" or \"max_sentences\" or \"min_probability\""}}}} |
b6c98c36-a238-4480-8047-3ca9831be100/ae275514-25c9-4780-8a07-29c59a169ce0/1/1 | Text Generator | Generate text, create chat bots, perform question answering, classification, language translation, prediction across a variety of domains via 'prompt engineering' asking questions in a familiar way to human conversation. Under the hood we use very large language models trained on broad human language.
https://text-generator.io | null | Text Generator API | Generate Text | 200 | Dynamic Sentiment Classification | [{"generated_text": "What an awesome book! so excited to read more from the author. This book review star rating: 5", "stop_reason": "max_length"}] | {"title": "GenerateResponse", "required": ["text"], "type": "array", "items": {"type": "object", "properties": {"generated_text": {"title": "Text", "type": "string", "description": "Text input, predicts what comes afterward"}, "stop_reason": {"title": "stop_reason", "type": "string", "default": 1, "description": "the stopping sequence seen that triggered stopping or a different stop reason \"max_length\" or \"max_sentences\" or \"min_probability\""}}}} |
f911c981-bd81-4b00-a7bc-d8b3da72c718/b2276127-8920-4960-a007-82e511d88212/0/0 | Keyword Extractor | Introducing our state-of-the-art keyword extraction API, designed to help businesses and developers quickly and easily extract the most important keywords and phrases from any type of text. Our API uses advanced natural language processing and machine learning algorithms to analyze the text and identify the most relevant keywords, making it perfect for a wide range of applications, such as content optimization, search engine optimization, and more. Our API is simple to use, with a user-frien... | null | /extract_keywords | This API will extract keyword or key phrases from the paragraph or documents | 200 | New Example | [["supervised learning algorithm", 0.6992], ["supervised learning", 0.6779], ["training data", 0.5271], ["training examples", 0.4668], ["class labels", 0.389]] | {"type": "array", "items": {"type": "array"}} |
b0dd7b3c-4877-4b61-88e2-d4126b3bce2e/652517f5-cef4-4d0a-9a13-32d4ae2c00d7/0/0 | Docxtract | API for text extraction. Retrieve text content from PDF, DOC/DOCX, PPT/PPTX, TXT, MD, and HTML. | 9 | Extract | Extracts text content from uploaded file. | 200 | New Example | {"key1": "value", "key2": "value"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"key1": {"type": "string"}, "key2": {"type": "string"}}, "required": ["key1", "key2"]} |
58dc32e1e4b039287a8e737e/1b3d8c25-4e20-4571-8a3c-d91ece2fb3be/0/0 | Keyword Suggestion | Get keywords and search volume for PPC and SEO scored by relevance. | 9.6 | Keyword Suggestion (get) | Recommend keywords for SEO and SEM scored by relevance. | 200 | Response | {"keywords": {"used books": {"similarity": 1, "search volume": "135000", "cpc": "0.72", "paid competition": "0.43"}, "used books online": {"similarity": 1, "search volume": "22200", "cpc": "0.915", "paid competition": "1"}, "mckay's used books": {"similarity": 1, "search volume": "3600", "cpc": "0.79", "paid competition": "0.01"}, "alibris used books": {"similarity": 1, "search volume": "1300", "cpc": "1.01", "paid competition": "0.83"}, "ebay used books": {"similarity": 1, "search volume": "1300", "cpc": "0.64", "paid competition": "0.93"}, "best used books online": {"similarity": 1, "search volume": "1000", "cpc": "1.08", "paid competition": "1"}, "used books sites": {"similarity": 1, "search volume": "880", "cpc": 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589ab201-2078-4b7a-bbcd-5717a29b100e/e46e7317-e9ae-44d1-949f-e9005464589b/0/0 | Personality Quest | The "Personality Quest" API allows developers to integrate personality assessment and analysis functionalities into their applications. By leveraging this API, developers can provide users with valuable insights into their personalities, helping them gain self-awareness, make informed decisions, and enhance their personal growth and relationships. | 8.7 | sixteen type personality questionnaire | This route is for getting Sixteen Type Personality Test Questionnaire. | 200 | Response | [{"personality_test_id": 2, "title": "16 Types Personality Test", "description": "", "lowest_range": 0, "heighest_range": 5, "lowest_range_name": "disagree", "heighest_range_name": "agree", "personality_test_type": "sixtheen_personality", "created_at": "2023-05-11T07:55:03.914Z", "updated_at": "2023-05-11T07:55:03.914Z", "personality_test_questions": [{"personality_test_id": 2, "question": "Meeting new people is one of the most exciting things in life.", "personality_test_question_id": 1}, {"personality_test_id": 2, "question": "I often feel energized and inspired after attending social events.", "personality_test_question_id": 2}, {"personality_test_id": 2, "question": "It's important to strike up conversations with strangers, even if it feels uncomfortable at first.", "personality_test_question_id": 3}, {"personality_test_id": 2, "question": "There's no such thing as too many friends.", "personality_test_question_id": 4}, {"personality_test_id": 2, "question": "I don't mind being the center of attention.", "personality_test_question_id": 6}, {"personality_test_id": 2, "question": "I often feel exhausted after attending social events.", "personality_test_question_id": 7}, {"personality_test_id": 2, "question": "I prefer small gatherings with close friends to large parties with many acquaintances.", "personality_test_question_id": 8}, {"personality_test_id": 2, "question": "I value deep and meaningful conversations over small talk.", "personality_test_question_id": 9}, {"personality_test_id": 2, "question": "I tend to think before I speak, rather than speaking impulsively.", "personality_test_question_id": 10}, {"personality_test_id": 2, "question": "I'm usually the one to wait for others to initiate plans with me.", "personality_test_question_id": 11}, {"personality_test_id": 2, "question": "I often notice small details that others tend to miss.", "personality_test_question_id": 12}, {"personality_test_id": 2, "question": "I prefer to focus on the present moment rather than thinking about the future.", "personality_test_question_id": 13}, {"personality_test_id": 2, "question": "I enjoy physical activities that engage my senses, such as hiking or cooking.", "personality_test_question_id": 14}, {"personality_test_id": 2, "question": "I tend to be very aware of my surroundings and notice changes easily.", "personality_test_question_id": 15}, {"personality_test_id": 2, "question": "I appreciate art and music that stimulates my senses and emotions.", "personality_test_question_id": 16}, {"personality_test_id": 2, "question": "I enjoy contemplating abstract concepts and ideas.", "personality_test_question_id": 17}, {"personality_test_id": 2, "question": "I often have a sense of knowing without knowing how I know.", "personality_test_question_id": 18}, {"personality_test_id": 2, "question": "I find it easy to connect seemingly unrelated ideas or concepts.", "personality_test_question_id": 19}, {"personality_test_id": 2, "question": "I have a vivid imagination and enjoy creative activities such as writing or drawing.", "personality_test_question_id": 20}, {"personality_test_id": 2, "question": "I often trust my gut instincts when making decisions.", "personality_test_question_id": 21}, {"personality_test_id": 2, "question": "I tend to make decisions based on logic and objective criteria rather than emotions.", "personality_test_question_id": 22}, {"personality_test_id": 2, "question": "I enjoy analyzing and breaking down complex problems into their component parts.", "personality_test_question_id": 23}, {"personality_test_id": 2, "question": "I often weigh the pros and cons before making a decision.", "personality_test_question_id": 24}, {"personality_test_id": 2, "question": "I value clear and concise communication over ambiguous or abstract language.", "personality_test_question_id": 25}, {"personality_test_id": 2, "question": "I tend to be more reserved and quiet when I'm thinking deeply about something.", "personality_test_question_id": 26}, {"personality_test_id": 2, "question": "I tend to make decisions based on my emotions and personal values rather than logic.", "personality_test_question_id": 27}, {"personality_test_id": 2, "question": "I'm sensitive to the emotions of others and try to consider them in my interactions.", "personality_test_question_id": 28}, {"personality_test_id": 2, "question": "I value empathy and compassion in myself and others.", "personality_test_question_id": 29}, {"personality_test_id": 2, "question": "I'm comfortable expressing my feelings openly and honestly.", "personality_test_question_id": 30}, {"personality_test_id": 2, "question": "I often put the needs and feelings of others before my own.", "personality_test_question_id": 31}, {"personality_test_id": 2, "question": "I prefer to have a clear plan and structure for my day rather than just going with the flow.", "personality_test_question_id": 32}, {"personality_test_id": 2, "question": "I find it difficult to relax if there are still tasks on my to-do list.", "personality_test_question_id": 33}, {"personality_test_id": 2, "question": "I prefer to make decisions as soon as possible rather than delaying them.", "personality_test_question_id": 34}, {"personality_test_id": 2, "question": "I'm uncomfortable with open-ended or vague situations.", "personality_test_question_id": 35}, {"personality_test_id": 2, "question": "I prefer to complete a task before moving on to the next one.", "personality_test_question_id": 36}, {"personality_test_id": 2, "question": "I'm comfortable with adapting to changes and improvising when necessary.", "personality_test_question_id": 37}, {"personality_test_id": 2, "question": "I often have multiple projects or tasks going on at the same time.", "personality_test_question_id": 38}, {"personality_test_id": 2, "question": "I tend to be more spontaneous and enjoy exploring new ideas or experiences.", "personality_test_question_id": 39}, {"personality_test_id": 2, "question": "I'm comfortable with ambiguity and uncertainty in situations.", "personality_test_question_id": 40}, {"personality_test_id": 2, "question": "I'm often described as adaptable or flexible in my approach.", "personality_test_question_id": 41}]}] | {"type": "array", "items": {"type": "object", "properties": {"personality_test_id": {"type": "integer"}, "title": {"type": "string"}, "description": {"type": "string"}, "lowest_range": {"type": "integer"}, "heighest_range": {"type": "integer"}, "lowest_range_name": {"type": "string"}, "heighest_range_name": {"type": "string"}, "personality_test_type": {"type": "string"}, "created_at": {"type": "string"}, "updated_at": {"type": "string"}, "personality_test_questions": {"type": "array", "items": {"type": "object", "properties": {"personality_test_id": {"type": "integer"}, "question": {"type": "string"}, "personality_test_question_id": {"type": "integer"}}}}}}} |
b74ef515-28dc-47e4-a6b5-f27296c16dab/426c4039-f9e3-495b-933b-240287c6adf7/0/0 | Detect Dominant Language | You can use Detect Dominant Language to examine text to determine the dominant language. DDL identifies the language using identifiers from RFC 5646 — if there is a 2-letter ISO 639-1 identifier, with a regional subtag if necessary, it uses that. Otherwise, it uses the ISO 639-2 3-letter code. | null | analyze | Post data to analyze.
Args:
request: Request from HTTP connection.
block_data: Incoming data.
Returns:
Response in JSON format. | 200 | Successful Response | {"Languages": [{"LanguageDetails": {"InternationalName": "string", "OriginalName": "string"}, "LanguageCode": "string", "Score": 0}]} | {"type": "object", "properties": {"Languages": {"type": "array", "items": {"type": "object", "properties": {"LanguageDetails": {"type": "object", "properties": {"InternationalName": {"type": "string"}, "OriginalName": {"type": "string"}}}, "LanguageCode": {"type": "string"}, "Score": {"type": "integer"}}}}}} |
b74ef515-28dc-47e4-a6b5-f27296c16dab/426c4039-f9e3-495b-933b-240287c6adf7/1/0 | Detect Dominant Language | You can use Detect Dominant Language to examine text to determine the dominant language. DDL identifies the language using identifiers from RFC 5646 — if there is a 2-letter ISO 639-1 identifier, with a regional subtag if necessary, it uses that. Otherwise, it uses the ISO 639-2 3-letter code. | null | analyze | Post data to analyze.
Args:
request: Request from HTTP connection.
block_data: Incoming data.
Returns:
Response in JSON format. | 422 | Validation Error | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"title": "HTTPValidationError", "type": "object", "properties": {"detail": {"title": "Detail", "type": "array", "items": {"title": "ValidationError", "required": ["loc", "msg", "type"], "type": "object", "properties": {"loc": {"title": "Location", "type": "array", "items": {"type": "string"}}, "msg": {"title": "Message", "type": "string"}, "type": {"title": "Error Type", "type": "string"}}}}}} |
6c7037af-73ab-439b-ad5a-7fb741d2fca8/4fd04c23-7c2e-434f-9195-7888da4aed5c/0/0 | Sentiment Analysis API | Check if the text is positive, negative or neutral. | null | Query | Send the text to query. | 200 | Response | {"status": "success", "query": "This movie was great!", "sentiment": 1} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"status": {"type": "string"}, "query": {"type": "string"}, "sentiment": {"type": "integer"}}, "required": ["query", "sentiment", "status"]} |
927a610f-1c3c-4811-839b-6e8c0b51e533/3e5059f4-e648-4c3f-b934-60685a410afa/0/0 | Sentino | Sentino API is used to understand personality traits (Big5, NEO etc.) using NLP. | 0.3 | Personality from Questionnaire | This endpoint extracts psychological traits (such as Big Five, NEO) from the a questionnaire you collected data with. You can use many other inventories (Big5) such as ORVIS (similar to RIASEC), SPI etc.
What you need is to ask a person direct questions, collect the responses and use this endpoint for getting scoring, quantiles and confidences. | 200 | Response | {"facts": [{"lang": "en", "text": "I am extraverted. I like to read books"}, {"lang": "en", "response": "disagree", "text": "I don't like to chat."}], "inventories": ["big5"], "scoring": {"big5": {"agreeableness": {"quantile": 0.416, "score": 0.547, "confidence": 0.007, "confidence_text": "very low"}, "conscientiousness": {"quantile": 0.439, "score": 0.37, "confidence": 0.007, "confidence_text": "very low"}, "extraversion": {"quantile": 1, "score": 1, "confidence": 0.194, "confidence_text": "low"}, "neuroticism": {"quantile": 0.546, "score": -0.267, "confidence": 0.007, "confidence_text": "very low"}, "openness": {"quantile": 1, "score": 1, "confidence": 0.151, "confidence_text": "low"}}}, "lang": "en"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"facts": {"type": "array", "items": {"type": "object", "properties": {"lang": {"type": "string"}, "text": {"type": "string"}, "response": {"type": "string"}}, "required": ["lang", "text"]}}, "inventories": {"type": "array", "items": {"type": "string"}}, "scoring": {"type": "object", "properties": {"big5": {"type": "object", "properties": {"agreeableness": {"type": "object", "properties": {"quantile": {"type": "number"}, "score": {"type": "number"}, "confidence": {"type": "number"}, "confidence_text": {"type": "string"}}, "required": ["confidence", "confidence_text", "quantile", "score"]}, "conscientiousness": {"type": "object", "properties": {"quantile": {"type": "number"}, "score": {"type": "number"}, "confidence": {"type": "number"}, "confidence_text": {"type": "string"}}, "required": ["confidence", "confidence_text", "quantile", "score"]}, "extraversion": {"type": "object", "properties": {"quantile": {"type": "integer"}, "score": {"type": "integer"}, "confidence": {"type": "number"}, "confidence_text": {"type": "string"}}, "required": ["confidence", "confidence_text", "quantile", "score"]}, "neuroticism": {"type": "object", "properties": {"quantile": {"type": "number"}, "score": {"type": "number"}, "confidence": {"type": "number"}, "confidence_text": {"type": "string"}}, "required": ["confidence", "confidence_text", "quantile", "score"]}, "openness": {"type": "object", "properties": {"quantile": {"type": "integer"}, "score": {"type": "integer"}, "confidence": {"type": "number"}, "confidence_text": {"type": "string"}}, "required": ["confidence", "confidence_text", "quantile", "score"]}}, "required": ["agreeableness", "conscientiousness", "extraversion", "neuroticism", "openness"]}}, "required": ["big5"]}, "lang": {"type": "string"}}, "required": ["facts", "inventories", "lang", "scoring"]} |
927a610f-1c3c-4811-839b-6e8c0b51e533/6f3af4f8-6f4d-4af8-ba57-2e37e46c2d53/0/0 | Sentino | Sentino API is used to understand personality traits (Big5, NEO etc.) using NLP. | 0.3 | NEO Personality Insights | This endpoint extracts NEO psychological traits/facets from the text written by the person. These include 30 facets of NEO such as assertiveness, morality, artistic interests and many others | 200 | Response | {"text": "I am 30 years old man. I studied physics and currently work as a software engineer. I am married and have a couple of kids. What else I can tell... I am open to new experience and like to chat. I am being nasty sometimes.", "inventories": ["neo"], "scoring": {"neo": {"achievement": {"quantile": 0.423, "score": 0.488, "confidence": 0.007, "confidence_text": "very low"}, "activity level": {"quantile": 0.491, "score": 0.048, "confidence": 0.007, "confidence_text": "very low"}, "adventurousness": {"quantile": 1, "score": 1, "confidence": 0.186, "confidence_text": "low"}, "altruism": {"quantile": 0.415, "score": 0.556, "confidence": 0.007, "confidence_text": "very low"}, "anger": {"quantile": 0.55, "score": -0.295, "confidence": 0.007, "confidence_text": "very low"}, "anxiety": {"quantile": 0.536, "score": -0.207, "confidence": 0.007, "confidence_text": "very low"}, "artistic interests": {"quantile": 0.418, "score": 0.527, "confidence": 0.007, "confidence_text": "very low"}, "assertiveness": {"quantile": 0.474, "score": 0.143, "confidence": 0.007, "confidence_text": "very low"}, "cautiousness": {"quantile": 0.449, "score": 0.304, "confidence": 0.007, "confidence_text": "very low"}, "cheerfulness": {"quantile": 0.444, "score": 0.333, "confidence": 0.007, "confidence_text": "very low"}, "cooperation": {"quantile": 0, "score": -1, "confidence": 0.172, "confidence_text": "low"}, "depression": {"quantile": 0.568, "score": -0.424, "confidence": 0.007, "confidence_text": "very low"}, "dutifulness": {"quantile": 0.397, "score": 0.709, "confidence": 0.007, "confidence_text": "very low"}, "emotionality": {"quantile": 0.449, "score": 0.302, "confidence": 0.007, "confidence_text": "very low"}, "excitement-seeking": {"quantile": 0.536, "score": -0.203, "confidence": 0.007, "confidence_text": "very low"}, "friendliness": {"quantile": 0.44, "score": 0.366, "confidence": 0.007, "confidence_text": "very low"}, "gregariousness": {"quantile": 0.501, "score": -0.007, "confidence": 0.007, "confidence_text": "very low"}, "imagination": {"quantile": 0.466, "score": 0.193, "confidence": 0.007, "confidence_text": "very low"}, "immoderation": {"quantile": 0.521, "score": -0.112, "confidence": 0.007, "confidence_text": "very low"}, "intellect": {"quantile": 0.447, "score": 0.314, "confidence": 0.007, "confidence_text": "very low"}, "liberalism": {"quantile": 0.535, "score": -0.196, "confidence": 0.007, "confidence_text": "very low"}, "modesty": {"quantile": 0.48, "score": 0.111, "confidence": 0.007, "confidence_text": "very low"}, "morality": {"quantile": 0, "score": -1, "confidence": 0.159, "confidence_text": "low"}, "orderliness": {"quantile": 0.441, "score": 0.356, "confidence": 0.007, "confidence_text": "very low"}, "self-consciousness": {"quantile": 0.534, "score": -0.193, "confidence": 0.007, "confidence_text": "very low"}, "self-discipline": {"quantile": 0.448, "score": 0.308, "confidence": 0.007, "confidence_text": "very low"}, "self-efficacy": {"quantile": 0.423, "score": 0.491, "confidence": 0.007, "confidence_text": "very low"}, "sympathy": {"quantile": 0.45, "score": 0.299, "confidence": 0.007, "confidence_text": "very low"}, "trust": {"quantile": 0.44, "score": 0.362, "confidence": 0.007, "confidence_text": "very low"}, "vulnerability": {"quantile": 0.565, "score": -0.399, "confidence": 0.007, "confidence_text": "very low"}}}, "lang": "en"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"text": {"type": "string"}, "inventories": {"type": "array", "items": {"type": "string"}}, "scoring": {"type": "object", "properties": {"neo": {"type": "object", "properties": {"achievement": {"type": "object", "properties": {"quantile": {"type": "number"}, "score": {"type": "number"}, "confidence": {"type": "number"}, "confidence_text": {"type": "string"}}, "required": ["confidence", "confidence_text", "quantile", "score"]}, "activity level": {"type": "object", "properties": {"quantile": {"type": "number"}, "score": {"type": "number"}, "confidence": {"type": "number"}, "confidence_text": {"type": "string"}}, "required": ["confidence", "confidence_text", "quantile", "score"]}, "adventurousness": {"type": "object", "properties": {"quantile": {"type": "integer"}, "score": {"type": "integer"}, "confidence": {"type": "number"}, "confidence_text": {"type": "string"}}, "required": ["confidence", "confidence_text", "quantile", "score"]}, "altruism": {"type": "object", "properties": {"quantile": {"type": "number"}, "score": {"type": "number"}, "confidence": {"type": "number"}, "confidence_text": {"type": "string"}}, "required": ["confidence", "confidence_text", "quantile", "score"]}, "anger": {"type": "object", "properties": {"quantile": {"type": "number"}, "score": {"type": "number"}, "confidence": {"type": "number"}, "confidence_text": {"type": "string"}}, "required": ["confidence", "confidence_text", "quantile", "score"]}, "anxiety": {"type": "object", "properties": {"quantile": {"type": "number"}, "score": {"type": "number"}, "confidence": {"type": "number"}, "confidence_text": {"type": "string"}}, "required": ["confidence", "confidence_text", "quantile", "score"]}, "artistic interests": {"type": "object", "properties": {"quantile": {"type": "number"}, "score": {"type": "number"}, "confidence": {"type": "number"}, "confidence_text": {"type": "string"}}, "required": ["confidence", "confidence_text", "quantile", "score"]}, "assertiveness": {"type": "object", "properties": {"quantile": {"type": "number"}, "score": {"type": "number"}, "confidence": {"type": "number"}, "confidence_text": {"type": "string"}}, "required": ["confidence", "confidence_text", "quantile", "score"]}, "cautiousness": {"type": "object", "properties": {"quantile": {"type": "number"}, "score": {"type": "number"}, "confidence": {"type": "number"}, "confidence_text": {"type": "string"}}, "required": ["confidence", "confidence_text", "quantile", "score"]}, "cheerfulness": {"type": "object", "properties": {"quantile": {"type": "number"}, "score": {"type": "number"}, "confidence": {"type": "number"}, "confidence_text": {"type": "string"}}, "required": ["confidence", "confidence_text", "quantile", "score"]}, "cooperation": {"type": "object", "properties": {"quantile": {"type": "integer"}, "score": {"type": "integer"}, "confidence": {"type": "number"}, "confidence_text": {"type": "string"}}, "required": ["confidence", "confidence_text", "quantile", "score"]}, "depression": {"type": "object", "properties": {"quantile": {"type": "number"}, "score": {"type": "number"}, "confidence": {"type": "number"}, "confidence_text": {"type": "string"}}, "required": ["confidence", "confidence_text", "quantile", "score"]}, "dutifulness": {"type": "object", "properties": {"quantile": {"type": "number"}, "score": {"type": "number"}, "confidence": {"type": "number"}, "confidence_text": {"type": "string"}}, "required": ["confidence", "confidence_text", "quantile", "score"]}, "emotionality": {"type": "object", "properties": {"quantile": {"type": "number"}, "score": {"type": "number"}, "confidence": {"type": "number"}, "confidence_text": {"type": "string"}}, "required": ["confidence", "confidence_text", "quantile", "score"]}, "excitement-seeking": {"type": "object", "properties": {"quantile": {"type": "number"}, "score": {"type": "number"}, "confidence": {"type": "number"}, "confidence_text": {"type": "string"}}, "required": ["confidence", "confidence_text", "quantile", "score"]}, "friendliness": {"type": "object", "properties": {"quantile": {"type": "number"}, "score": {"type": "number"}, "confidence": {"type": "number"}, "confidence_text": {"type": "string"}}, "required": ["confidence", "confidence_text", "quantile", "score"]}, "gregariousness": {"type": "object", "properties": {"quantile": {"type": "number"}, "score": {"type": "number"}, "confidence": {"type": "number"}, "confidence_text": {"type": "string"}}, "required": ["confidence", "confidence_text", "quantile", "score"]}, "imagination": {"type": "object", "properties": {"quantile": {"type": "number"}, "score": {"type": "number"}, "confidence": {"type": "number"}, "confidence_text": {"type": "string"}}, "required": ["confidence", "confidence_text", "quantile", "score"]}, "immoderation": {"type": "object", "properties": {"quantile": {"type": "number"}, "score": {"type": "number"}, "confidence": {"type": "number"}, "confidence_text": {"type": "string"}}, "required": ["confidence", "confidence_text", "quantile", "score"]}, "intellect": {"type": "object", "properties": {"quantile": {"type": "number"}, "score": {"type": "number"}, "confidence": {"type": "number"}, "confidence_text": {"type": "string"}}, "required": ["confidence", "confidence_text", "quantile", "score"]}, "liberalism": {"type": "object", "properties": {"quantile": {"type": "number"}, "score": {"type": "number"}, "confidence": {"type": "number"}, "confidence_text": {"type": "string"}}, "required": ["confidence", "confidence_text", "quantile", "score"]}, "modesty": {"type": "object", "properties": {"quantile": {"type": "number"}, "score": {"type": "number"}, "confidence": {"type": "number"}, "confidence_text": {"type": "string"}}, "required": ["confidence", "confidence_text", "quantile", "score"]}, "morality": {"type": "object", "properties": {"quantile": {"type": "integer"}, "score": {"type": "integer"}, "confidence": {"type": "number"}, "confidence_text": {"type": "string"}}, "required": ["confidence", "confidence_text", "quantile", "score"]}, "orderliness": {"type": "object", "properties": {"quantile": {"type": "number"}, "score": {"type": "number"}, "confidence": {"type": "number"}, "confidence_text": {"type": "string"}}, "required": ["confidence", "confidence_text", "quantile", "score"]}, "self-consciousness": {"type": "object", "properties": {"quantile": {"type": "number"}, "score": {"type": "number"}, "confidence": {"type": "number"}, "confidence_text": {"type": "string"}}, "required": ["confidence", "confidence_text", "quantile", "score"]}, "self-discipline": {"type": "object", "properties": {"quantile": {"type": "number"}, "score": {"type": "number"}, "confidence": {"type": "number"}, "confidence_text": {"type": "string"}}, "required": ["confidence", "confidence_text", "quantile", "score"]}, "self-efficacy": {"type": "object", "properties": {"quantile": {"type": "number"}, "score": {"type": "number"}, "confidence": {"type": "number"}, "confidence_text": {"type": "string"}}, "required": ["confidence", "confidence_text", "quantile", "score"]}, "sympathy": {"type": "object", "properties": {"quantile": {"type": "number"}, "score": {"type": "number"}, "confidence": {"type": "number"}, "confidence_text": {"type": "string"}}, "required": ["confidence", "confidence_text", "quantile", "score"]}, "trust": {"type": "object", "properties": {"quantile": {"type": "number"}, "score": {"type": "number"}, "confidence": {"type": "number"}, "confidence_text": {"type": "string"}}, "required": ["confidence", "confidence_text", "quantile", "score"]}, "vulnerability": {"type": "object", "properties": {"quantile": {"type": "number"}, "score": {"type": "number"}, "confidence": {"type": "number"}, "confidence_text": {"type": "string"}}, "required": ["confidence", "confidence_text", "quantile", "score"]}}, "required": ["achievement", "activity level", "adventurousness", "altruism", "anger", "anxiety", "artistic interests", "assertiveness", "cautiousness", "cheerfulness", "cooperation", "depression", "dutifulness", "emotionality", "excitement-seeking", "friendliness", "gregariousness", "imagination", "immoderation", "intellect", "liberalism", "modesty", "morality", "orderliness", "self-consciousness", "self-discipline", "self-efficacy", "sympathy", "trust", "vulnerability"]}}, "required": ["neo"]}, "lang": {"type": "string"}}, "required": ["inventories", "lang", "scoring", "text"]} |
927a610f-1c3c-4811-839b-6e8c0b51e533/12db666a-c163-4e37-a65d-feed03def61c/0/0 | Sentino | Sentino API is used to understand personality traits (Big5, NEO etc.) using NLP. | 0.3 | Big Five Personality Insights | This endpoint extracts Big Five psychological traits from the text written by the person. These include: Openness, Conscientiousness, Extraversion, Agreeableness, Neuroticism also known as OCEAN. | 200 | Response | {"text": "I am 30 years old man. I studied physics and currently work as a software engineer. I am married and have a couple of kids. What else I can tell... I am open to new experience and like to chat. I am being nasty sometimes.", "inventories": ["big5", "neo"], "scoring": {"big5": {"agreeableness": {"quantile": 0.416, "score": 0.547, "confidence": 0.007, "confidence_text": "very low"}, "conscientiousness": {"quantile": 0.439, "score": 0.37, "confidence": 0.007, "confidence_text": "very low"}, "extraversion": {"quantile": 0.454, "score": 0.267, "confidence": 0.007, "confidence_text": "very low"}, "neuroticism": {"quantile": 0.546, "score": -0.267, "confidence": 0.007, "confidence_text": "very low"}, "openness": {"quantile": 1, "score": 1, "confidence": 0.134, "confidence_text": "low"}}, "neo": {"achievement": {"quantile": 0.423, "score": 0.488, "confidence": 0.007, "confidence_text": "very low"}, "activity level": {"quantile": 0.491, "score": 0.048, "confidence": 0.007, "confidence_text": "very low"}, "adventurousness": {"quantile": 1, "score": 1, "confidence": 0.186, "confidence_text": "low"}, "altruism": {"quantile": 0.415, "score": 0.556, "confidence": 0.007, "confidence_text": "very low"}, "anger": {"quantile": 0.55, "score": -0.295, "confidence": 0.007, "confidence_text": "very low"}, "anxiety": {"quantile": 0.536, "score": -0.207, "confidence": 0.007, "confidence_text": "very low"}, "artistic interests": {"quantile": 0.418, "score": 0.527, "confidence": 0.007, "confidence_text": "very low"}, "assertiveness": {"quantile": 0.474, "score": 0.143, "confidence": 0.007, "confidence_text": "very low"}, "cautiousness": {"quantile": 0.449, "score": 0.304, "confidence": 0.007, "confidence_text": "very low"}, "cheerfulness": {"quantile": 0.444, "score": 0.333, "confidence": 0.007, "confidence_text": "very low"}, "cooperation": {"quantile": 0, "score": -1, "confidence": 0.172, "confidence_text": "low"}, "depression": {"quantile": 0.568, "score": -0.424, "confidence": 0.007, "confidence_text": "very low"}, "dutifulness": {"quantile": 0.397, "score": 0.709, "confidence": 0.007, "confidence_text": "very low"}, "emotionality": {"quantile": 0.449, "score": 0.302, "confidence": 0.007, "confidence_text": "very low"}, "excitement-seeking": {"quantile": 0.536, "score": -0.203, "confidence": 0.007, "confidence_text": "very low"}, "friendliness": {"quantile": 0.44, "score": 0.366, "confidence": 0.007, "confidence_text": "very low"}, "gregariousness": {"quantile": 0.501, "score": -0.007, "confidence": 0.007, "confidence_text": "very low"}, "imagination": {"quantile": 0.466, "score": 0.193, "confidence": 0.007, "confidence_text": "very low"}, "immoderation": {"quantile": 0.521, "score": -0.112, "confidence": 0.007, "confidence_text": "very low"}, "intellect": {"quantile": 0.447, "score": 0.314, "confidence": 0.007, "confidence_text": "very low"}, "liberalism": {"quantile": 0.535, "score": -0.196, "confidence": 0.007, "confidence_text": "very low"}, "modesty": {"quantile": 0.48, "score": 0.111, "confidence": 0.007, "confidence_text": "very low"}, "morality": {"quantile": 0, "score": -1, "confidence": 0.159, "confidence_text": "low"}, "orderliness": 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927a610f-1c3c-4811-839b-6e8c0b51e533/fab83f34-90bf-492d-b3ff-02dc535ea3a0/0/0 | Sentino | Sentino API is used to understand personality traits (Big5, NEO etc.) using NLP. | 0.3 | Personality from Text | This endpoint extracts psychological traits (such as Big Five, NEO) from the text written by the person. In general, it transforms textual information about a person into psychologically meaningful representation such. You can use many other inventories (Big5) such as ORVIS (similar to RIASEC), SPI etc. | 200 | Response | {"text": "I am 30 years old man. I studied physics and currently work as a software engineer. I am married and have a couple of kids. What else I can tell... I am open to new experience and like to chat. I am being nasty sometimes.", "inventories": ["big5", "neo"], "scoring": {"big5": {"agreeableness": {"quantile": 0.416, "score": 0.547, "confidence": 0.007, "confidence_text": "very low"}, "conscientiousness": {"quantile": 0.439, "score": 0.37, "confidence": 0.007, "confidence_text": "very low"}, "extraversion": {"quantile": 0.454, "score": 0.267, "confidence": 0.007, "confidence_text": "very low"}, "neuroticism": {"quantile": 0.546, "score": -0.267, "confidence": 0.007, "confidence_text": "very low"}, "openness": {"quantile": 1, "score": 1, "confidence": 0.134, "confidence_text": "low"}}, "neo": {"achievement": {"quantile": 0.423, "score": 0.488, "confidence": 0.007, "confidence_text": "very low"}, "activity level": {"quantile": 0.491, "score": 0.048, "confidence": 0.007, "confidence_text": "very low"}, "adventurousness": {"quantile": 1, "score": 1, "confidence": 0.186, "confidence_text": "low"}, "altruism": {"quantile": 0.415, "score": 0.556, "confidence": 0.007, "confidence_text": "very low"}, "anger": {"quantile": 0.55, "score": -0.295, "confidence": 0.007, "confidence_text": "very low"}, "anxiety": {"quantile": 0.536, "score": -0.207, "confidence": 0.007, "confidence_text": "very low"}, "artistic interests": {"quantile": 0.418, "score": 0.527, "confidence": 0.007, "confidence_text": "very low"}, "assertiveness": {"quantile": 0.474, "score": 0.143, "confidence": 0.007, "confidence_text": "very low"}, "cautiousness": {"quantile": 0.449, "score": 0.304, "confidence": 0.007, "confidence_text": "very low"}, "cheerfulness": {"quantile": 0.444, "score": 0.333, "confidence": 0.007, "confidence_text": "very low"}, "cooperation": {"quantile": 0, "score": -1, "confidence": 0.172, "confidence_text": "low"}, "depression": {"quantile": 0.568, "score": -0.424, "confidence": 0.007, "confidence_text": "very low"}, "dutifulness": {"quantile": 0.397, "score": 0.709, "confidence": 0.007, "confidence_text": "very low"}, "emotionality": {"quantile": 0.449, "score": 0.302, 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"required": ["confidence", "confidence_text", "quantile", "score"]}, "self-efficacy": {"type": "object", "properties": {"quantile": {"type": "number"}, "score": {"type": "number"}, "confidence": {"type": "number"}, "confidence_text": {"type": "string"}}, "required": ["confidence", "confidence_text", "quantile", "score"]}, "sympathy": {"type": "object", "properties": {"quantile": {"type": "number"}, "score": {"type": "number"}, "confidence": {"type": "number"}, "confidence_text": {"type": "string"}}, "required": ["confidence", "confidence_text", "quantile", "score"]}, "trust": {"type": "object", "properties": {"quantile": {"type": "number"}, "score": {"type": "number"}, "confidence": {"type": "number"}, "confidence_text": {"type": "string"}}, "required": ["confidence", "confidence_text", "quantile", "score"]}, "vulnerability": {"type": "object", "properties": {"quantile": {"type": "number"}, "score": {"type": "number"}, "confidence": {"type": "number"}, "confidence_text": {"type": "string"}}, "required": ["confidence", "confidence_text", "quantile", "score"]}}, "required": ["achievement", "activity level", "adventurousness", "altruism", "anger", "anxiety", "artistic interests", "assertiveness", "cautiousness", "cheerfulness", "cooperation", "depression", "dutifulness", "emotionality", "excitement-seeking", "friendliness", "gregariousness", "imagination", "immoderation", "intellect", "liberalism", "modesty", "morality", "orderliness", "self-consciousness", "self-discipline", "self-efficacy", "sympathy", "trust", "vulnerability"]}}, "required": ["big5", "neo"]}, "lang": {"type": "string"}}, "required": ["inventories", "lang", "scoring", "text"]} |
927a610f-1c3c-4811-839b-6e8c0b51e533/fd2a71c2-8426-4580-b35a-6f07bd485974/0/0 | Sentino | Sentino API is used to understand personality traits (Big5, NEO etc.) using NLP. | 0.3 | Questionnaire Sentino | They are sampled from original items so the first 30 are best for Big5, first 60 are best for BFAS and 90 for NEO. The more items scored the better. | 200 | Response | {"questionnaire": "neo.sentino.90", "items": ["I am open about my feelings.", "I crave the experience of great art.", "I often forget to put things back in their proper place.", "I have a low opinion of myself.", "I do not understand people who get emotional.", "I keep in the background.", "I seldom get lost in thought.", "I have difficulty starting tasks.", "I lose my temper.", "I make people feel uncomfortable.", "I avoid contacts with others.", "I use difficult words.", "I am not bothered by disorder.", "I have frequent mood swings.", "I am not really interested in others.", "I express myself easily.", "I do not like poetry.", "I leave my belongings around.", "I feel threatened easily.", "I pretend to be concerned for others.", "I warm up quickly to others.", "I seldom notice the emotional aspects of paintings and pictures.", "I am not bothered by messy people.", "I get upset easily.", "I am indifferent to the feelings of others.", "I see myself as a good leader.", "I have an imagination that stretches beyond that of my friends.", "I make a mess of things.", "I get irritated easily.", "I feel little concern for others.", "I rebel against authority.", "I love to read challenging material.", "I get chores done right away.", "I am easily intimidated.", "I make friends easily.", "I seldom daydream.", "I feel others' emotions.", "I get angry easily.", "I enjoy being reckless.", "I carry the conversation to a higher level.", "I need a push to get started.", "I often feel blue.", "I feel at ease with people.", "I take charge.", "I enjoy hearing new ideas.", "I break rules.", "I can handle a lot of information.", "I waste my time.", "I am easily discouraged.", "I feel comfortable around people.", "I have leadership abilities.", "I take advantage of others.", "I can handle complex problems.", "I carry out my plans.", "I am filled with doubts about things.", "I cheer people up.", "I obstruct others' plans.", "I am quick to understand things.", "I take risks.", "I suspect hidden motives in others.", "I believe that there is no absolute right and wrong.", "I do crazy things.", "I feel that my life lacks direction.", "I am the life of the party.", "I do not enjoy watching dance performances.", "I show my sadness.", "I enjoy wild flights of fantasy.", "I take risks that could cause trouble for me.", "I seldom get mad.", "I usually enjoy being with people.", "I adapt easily to new situations.", "I think that all will be well.", "I believe that criminals should receive help rather than punishment.", "I do not know why I do some of the things I do.", "I am not easily amused.", "I love flowers.", "I experience very few emotional highs and lows.", "I indulge in my fantasies.", "I seek adventure.", "I believe that people are basically moral.", "I like to be viewed as proper and conventional.", "I jump into things without thinking.", "I laugh my way through life.", "I am willing to take risks.", "I trust what people say.", "I believe that we coddle criminals too much.", "I make rash decisions.", "I am a creature of habit.", "I distrust people.", "I tend to vote for liberal political candidates."]} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"questionnaire": {"type": "string"}, "items": {"type": "array", "items": {"type": "string"}}}, "required": ["items", "questionnaire"]} |
53aa50ade4b008bb2ef86562/53aa50aee4b0a705fcc31913/0/0 | Sentiment Analysis | Is this comment positive or negative? Find out the tone. | 9.6 | Analyze (get) | Return sentiment analysis results with score for the given text. | 200 | Response | {"author": "twinword inc.", "email": "help@twinword.com", "keywords": [{"score": 0.797954407, "word": "great"}, {"score": 0.289701948, "word": "price"}, {"score": 0.263316882, "word": "value"}, {"score": 0.152059727, "word": "range"}], "ratio": 1, "result_code": "200", "result_msg": "Success", "score": 0.375758241, "type": "positive", "version": "4.0.0"} | {"properties": {"author": {"type": "string"}, "email": {"type": "string"}, "keywords": {"items": {"properties": {"score": {"type": "number"}, "word": {"type": "string"}}, "type": "object"}, "type": "array"}, "ratio": {"type": "integer"}, "result_code": {"type": "string"}, "result_msg": {"type": "string"}, "score": {"type": "number"}, "type": {"type": "string"}, "version": {"type": "string"}}, "type": "object"} |
53aa50ade4b008bb2ef86562/53aa50aee4b008bb2ef86568/0/0 | Sentiment Analysis | Is this comment positive or negative? Find out the tone. | 9.6 | Analyze (post) | Return sentiment analysis results with score for the given text. | 200 | Response | {"author": "twinword inc.", "email": "help@twinword.com", "keywords": [{"score": 0.797954407, "word": "great"}, {"score": 0.289701948, "word": "price"}, {"score": 0.263316882, "word": "value"}, {"score": 0.152059727, "word": "range"}], "ratio": 1, "result_code": "200", "result_msg": "Success", "score": 0.375758241, "type": "positive", "version": "4.0.0"} | {"properties": {"author": {"type": "string"}, "email": {"type": "string"}, "keywords": {"items": {"properties": {"score": {"type": "number"}, "word": {"type": "string"}}, "type": "object"}, "type": "array"}, "ratio": {"type": "integer"}, "result_code": {"type": "string"}, "result_msg": {"type": "string"}, "score": {"type": "number"}, "type": {"type": "string"}, "version": {"type": "string"}}, "type": "object"} |
6c028ab0-cc7d-4922-98a4-bf30055bdafc/35da602c-8d88-4ab8-a337-8aa2f899bf6a/0/0 | Quick NLP | Quick NLP provides useful NLP tools, such as part of speech detection. | null | Sentence Extraction | Separate sentences in paragraphs into an array of sentences | 200 | Example of 2 sentences | ["This is my first sentence.", "This is my second sentence."] | {"$schema": "http://json-schema.org/schema#", "type": "array", "items": {"type": "string"}} |
6c028ab0-cc7d-4922-98a4-bf30055bdafc/123faa56-bb4d-45f7-970c-188dd440d9c1/0/0 | Quick NLP | Quick NLP provides useful NLP tools, such as part of speech detection. | null | Readability Score | Readability score of text | 200 | New Example | {"SMOG": "nan", "Flesch Reading Ease": "100.24000000000002", "Flesch Reading Grade": "0.5199999999999996"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"SMOG": {"type": "string"}, "Flesch Reading Ease": {"type": "string"}, "Flesch Reading Grade": {"type": "string"}}, "required": ["Flesch Reading Ease", "Flesch Reading Grade", "SMOG"]} |
6c028ab0-cc7d-4922-98a4-bf30055bdafc/841223aa-448a-4c2f-b826-307c6cdf1c9d/0/0 | Quick NLP | Quick NLP provides useful NLP tools, such as part of speech detection. | null | Sentiment Analysis | Analysis / detect the sentiment of a sentence | 200 | New Example | {"negative": 0.953783392906189, "positive": 0.04621657356619835} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"negative": {"type": "number"}, "positive": {"type": "number"}}, "required": ["negative", "positive"]} |
6c028ab0-cc7d-4922-98a4-bf30055bdafc/c82ff54d-9e29-4684-81de-90fd35787dbf/0/0 | Quick NLP | Quick NLP provides useful NLP tools, such as part of speech detection. | null | Numeric text to number | Convert numbers written as words to their integer or real format | 200 | New Example | {"text": "one thousand two hundred", "value": "1200"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"text": {"type": "string"}, "value": {"type": "string"}}, "required": ["text", "value"]} |
6c028ab0-cc7d-4922-98a4-bf30055bdafc/ce0c4474-c19e-4c10-b0d4-27ac187b4fa4/0/0 | Quick NLP | Quick NLP provides useful NLP tools, such as part of speech detection. | null | Entity Detector | Detect what types of entity each word is, for example, organisation, money, etc. | 200 | New Example | [{"word": "John Smith", "entity": "PERSON"}, {"word": "America", "entity": "GEOPOLITICAL ENTITY"}] | {"$schema": "http://json-schema.org/schema#", "type": "array", "items": {"type": "object", "properties": {"word": {"type": "string"}, "entity": {"type": "string"}}, "required": ["entity", "word"]}} |
6c028ab0-cc7d-4922-98a4-bf30055bdafc/97a710b2-b0fd-4efb-b322-870746b48932/0/0 | Quick NLP | Quick NLP provides useful NLP tools, such as part of speech detection. | null | Part Of Speech Detector | Breakdown a sentence into it's parts of speech | 200 | New Example | [{"word": "this", "part_of_speech": "Noun"}, {"word": "is", "part_of_speech": "Adjective"}, {"word": "a", "part_of_speech": "Determiner"}, {"word": "test", "part_of_speech": "Noun"}, {"word": "sentence", "part_of_speech": "Noun"}] | {"$schema": "http://json-schema.org/schema#", "type": "array", "items": {"type": "object", "properties": {"word": {"type": "string"}, "part_of_speech": {"type": "string"}}, "required": ["part_of_speech", "word"]}} |
59974e63-ed8a-469c-afcc-9dc512e355fb/8e56880a-e7f5-49c9-8fe6-43dc72805f46/0/0 | Sentiment Analysis | Find out if a piece of text has a positive, neutral or negative sentiment. | 7.4 | Sentiment Analysis | Pass in text to find out if it has a positive, neutral or negative sentiment. API returns three scores:
A numeric score (sentiment_number) from 0 to 100 (0 being very negative, 100 being very positive)
A broad sentiment label (sentiment_broad) - positive, negative or neutral
A more precise sentiment label (sentiment), which is formatted for viewing and may include a more granual description, for example "Neutral (Slightly Positive)".
| 200 | Response | {"response_timestamp": 1613056048, "result": "success", "sentiment": "Positive", "sentiment_broad": "positive", "sentiment_number": 50, "server_reference": "web2"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"response_timestamp": {"type": "integer"}, "result": {"type": "string"}, "sentiment": {"type": "string"}, "sentiment_broad": {"type": "string"}, "sentiment_number": {"type": "integer"}, "server_reference": {"type": "string"}}, "required": ["response_timestamp", "result", "sentiment", "sentiment_broad", "sentiment_number", "server_reference"]} |
d8953a91-50a0-4e6e-85f4-d5257db70d1a/a302fa91-c473-4a21-a9c1-160ec110ae0d/0/0 | RChilli JD Parser | RChilli JD Parser is an intelligent software that extracts parameters from a Job Description. It processes job descriptions or vacancies in real-time. RChilli uses AI/ML trusted technologies to lexically parse a job description into the JSON output format. | null | JD Parser Text API | JD Parser Text API allows you to parse JD text in base64 format. | 200 | New Example | {"JDParsedData": {"FileName": "JD sample.txt", "JDLanguage": {"Language": "English", "LanguageCode": "en"}, "ParsingDate": "03/01/2022 07:30:10.875", "JobProfile": {"Title": "Software Developer", "Alias": "Computer Software Engineer, Developer, Developer Software, Developer-Software, Engineer - Software, Engineer Software, IT Software Engineer, Service Software Engineer, Software - Engineer, Software Engineer, Software Engineer - Information Technology, Software-Developer, Technical - Software Engineer, Technical Developer, Technology Software Developer, Technology Software Engineer", "FormattedName": "Software Developer", "RelatedSkills": [{"Skill": "Code Analysis", "ProficiencyLevel": "Moderate", "SkillType": "Technology"}, {"Skill": "Critical Analysis", "ProficiencyLevel": "Moderate", "SkillType": "Knowledge"}, {"Skill": "Software Debugging", "ProficiencyLevel": "Moderate", "SkillType": "Knowledge"}, {"Skill": "Analytical Thinking", "ProficiencyLevel": "Proficient", "SkillType": "Soft"}, {"Skill": "Code Management", "ProficiencyLevel": "Native", "SkillType": "Knowledge"}, {"Skill": "Program Design", "ProficiencyLevel": "Moderate", "SkillType": "Knowledge"}, {"Skill": "Software Development Life Cycle", "ProficiencyLevel": "Moderate", "SkillType": "Technology"}, {"Skill": "Software Development", "ProficiencyLevel": "Moderate", "SkillType": "Technology"}, {"Skill": "Programming Language Theory", "ProficiencyLevel": "Native", "SkillType": "Technology"}, {"Skill": "Problem Solving", "ProficiencyLevel": "Moderate", "SkillType": "Soft"}, {"Skill": "Software Application Development", "ProficiencyLevel": "Moderate", "SkillType": "Technology"}, {"Skill": "Software Development Environment", "ProficiencyLevel": "Moderate", "SkillType": "Technology"}, {"Skill": "Object Oriented Design", "ProficiencyLevel": "Moderate", "SkillType": "Technology"}, {"Skill": "Software Engineering Process", "ProficiencyLevel": "Moderate", "SkillType": "Knowledge"}, {"Skill": "Troubleshooting", "ProficiencyLevel": "Moderate", "SkillType": "Soft"}, {"Skill": "Software Engineering", "ProficiencyLevel": "Moderate", "SkillType": "Knowledge"}, {"Skill": "Source Code Management", "ProficiencyLevel": "Native", "SkillType": "Knowledge"}, {"Skill": "Programming Principles", "ProficiencyLevel": "Native", "SkillType": "Technology"}, {"Skill": "Teamwork", "ProficiencyLevel": "Moderate", "SkillType": "Soft"}, {"Skill": "Coding Theory", "ProficiencyLevel": "Moderate", "SkillType": "Knowledge"}, {"Skill": "Enterprise\u00a0Software\u00a0Deployment", "ProficiencyLevel": "Moderate", "SkillType": "Knowledge"}, {"Skill": "Real Time Debugging", "ProficiencyLevel": "Native", "SkillType": "Knowledge"}, {"Skill": "Software Development Methodology", "ProficiencyLevel": "Moderate", "SkillType": "Technology"}, {"Skill": "Coding Interview", "ProficiencyLevel": "Moderate", "SkillType": "Knowledge"}, {"Skill": "Linx", "ProficiencyLevel": "Moderate", "SkillType": "Tool"}, {"Skill": "Codenvy", "ProficiencyLevel": "Moderate", "SkillType": "Tool"}], "Ontology": "Information>Software Developers and Programmers>Software Developer"}, "Organization": "Blue Mount Immigration Consulting Pvt Ltd", "StaffingAgency": "", "AboutOrganization": "Blue Mount Redefine the prospect to immigrate; \n with a success rate of 98 % we are proud to cater you a smooth migration at any part of the world. We value our client's investment and time and provide with best possible solution to move to any part. Our past 4 years service quality makes us the best amount any other immigration company with quality assurance. \n \n Based on the qualification & interest we guide people to relocate. Our team of qualified agents will make a hassle free immigration for you with an assurance. It gives us great privilege to make your dream destination, your home. We are expertise in a wide range of services like permanent residency, work permit, service contract, education abroad etc. \n ", "JobLocation": {"Location": "Pune , Maharashtra", "City": "Pune", "State": "Maharashtra", "Country": "India", "IsoCountryCode": "IN", "ZipCode": ""}, "JobCode": "", "JobType": "Permanent Job, Full Time", "JobShift": "", "IsManagementJob": "false", "IndustryType": "IT-Software/Software Services", "ExcecutiveType": "Information", "PostedOnDate": "03/01/2022", "ClosingDate": "01/05/2020", "ExperienceRequired": {"MinimumYearsExperience": "0 Years", "MaximumYearsExperience": ""}, "ContractDuration": "1 Month", "HasContract": "true", "SalaryOffered": {"MinAmount": "", "MaxAmount": "", "Currency": "INR", "Units": "Hour", "Text": "Rs. hourly"}, "BillRate": {"MinAmount": "100.0", "MaxAmount": "200.0", "Currency": "INR", "Units": "Hour", "Text": "100 to 200 Rs. hourly"}, "NoticePeriod": "", "NoOfOpenings": "", "Relocation": "", "Languages": "English, Hindi", "PreferredDemographic": {"Nationality": "Indian", "Visa": "H1b", "AgeLimit": "", "Others": ""}, "Domains": [], "Qualifications": {"Preferred": ["Diploma", "M.Tech"], "Required": ["B.Tech"]}, "Certifications": {"Preferred": ["Microsoft Certified Professional Developer", "MCPD"], "Required": ["Microsoft Certified Solutions Developer", "MCSD"]}, "Skills": {"Preferred": [{"Skill": "Ability To Read", "Type": "SoftSkill", "Alias": "Ability To Read And Follow Instructions, Ability To Read And Interpret Documents", "FormattedName": "Ability To Read", "Ontology": "Administrative and Support and Waste Management and Remediation Services>File Clerks>Ability To Read"}, {"Skill": "Application Programming", "Type": "OperationalSkill", "Alias": "Application-Programming, applications programming", "FormattedName": "Application Programming", "Ontology": "Information>Software Developers and Programmers>Application Programming"}, {"Skill": "Client Handling", "Type": "OperationalSkill", "Alias": "Client Handling, client handling operations, Customer-Handling, Handling Di\ufb03cult Customers", "FormattedName": "Customer Handling", "Ontology": "Administrative and Support and Waste Management and Remediation Services>Customer Service Representatives>Customer Handling"}, {"Skill": "Computer Forensic", "Type": "OperationalSkill", "Alias": "Computer Forensics, Computer-Forensic, cyber forensics", "FormattedName": "Computer Forensic", "Ontology": "Arts, Entertainment, and Recreation>Forensic Science Technicians>Computer Forensic"}, {"Skill": "Confidence", "Type": "BehaviorSkill", "Alias": "assertion, assertive, confidence, self-assured", "FormattedName": "Assertiveness", "Ontology": "Management of Companies and Enterprises>Management Occupations>Assertiveness"}, {"Skill": "Consulting", "Type": "OperationalSkill", "Alias": "consulting skills", "FormattedName": "Consulting", "Ontology": "Finance and Insurance>Business Operations Specialists>Consulting"}, {"Skill": "Immigration", "Type": "OperationalSkill", "Alias": "Immigration knowledge", "FormattedName": "Immigration", "Ontology": "Finance and Insurance>Compliance Officers>Immigration"}, {"Skill": "Investigator", "Type": "SoftSkill", "Alias": "", "FormattedName": "", "Ontology": ""}, {"Skill": "Java", "Type": "OperationalSkill", "Alias": "Advance Java, Advance Java Programming, core java, Core Java Programming, core-java, corejava, Embedded Java, Java 1, Java 1.2, Java 1.4, Java 1.5, Java 10, Java 11, Java 2, Java 2 Advanced Programming, Java 2 Programming, Java 3, Java 4, Java 5, java 5.0, Java 6, Java 7, Java 8, Java 8 Programming, Java 9, java application, Java Basic Programming, Java Coding, Java Dev Language, Java Development, Java Development Lang., Java Development Language, Java Platform, Java Platform Language, Java programming, Java Programming Language, Java Tech., java technologies, Java Technology, Java web development, Java Web Programming, java1, Java1.3, Java5, Java8, Microsoft Java Technologies, Ms Java Technologies, Oracle Java, programming core java, programming corejava, Programming Language Java, Programming Languages Java", "FormattedName": "Java", "Ontology": "Information>Software Developers and Programmers>Java"}, {"Skill": "Maintenance", "Type": "OperationalSkill", "Alias": "Ensuring Maintenance, Maintenance Repair and Operations, Maintenance, Repair and Operations, mro", "FormattedName": "Maintenance", "Ontology": "Installation, Maintenance, and Repair Occupations>Maintenance and Repair Workers, General>Maintenance"}, {"Skill": "Mentors", "Type": "SoftSkill", "Alias": "Mentor-Ship, mentoring skills, mentors, Mentorship", "FormattedName": "Mentoring", "Ontology": "Management of Companies and Enterprises>Managers, All Other>Mentoring"}, {"Skill": "Programming", "Type": "OperationalSkill", "Alias": "advanced programming, code programming, Coding, coding languages, coding skills, Computer Lang., Computer Language, Computer programming, Computer Programming Lang., Computer Programming Language, Computer Science Programming, development languages, its programming, Operations Programming, Programming, Programming Coding, programming concepts, Programming Lang., Programming Languages, programming skills, Programming-Language, Software & Programming Languages, software coding, Software Programming", "FormattedName": "Programming Language", "Ontology": "Information>Software Developers and Programmers>Programming Language"}, {"Skill": "Software Development Life Cycle", "Type": "OperationalSkill", "Alias": "application development life cycle, Cycle Development, Delivery Lifecycle, Development Cycle, development lifecycle, Frameworks Lifecycle Development, Full Development Life Cycle, full life cycle development, Full Sdlc, full software lifecycle, lifecycle development, manage the software development life, SDLC, Sdlc Framework, Sdlc Frameworks, SDLC Methodologies, software design life cycle management, software design lifecycle management, Software Development Cycle, Software Development Cycle Management, Software Development Life Cycle Design, Software Development Life Cycle Management, Software Development Life Cycle Sdlc, software development life cycles, Software Development Life Cycles Sdlc, Software Development Life-Cycle, software development lifecycle, Software Development Lifecycle Management, Software Development Project Life Cycle, Software Full Life Cycle, Software Life Cycle, Software Lifecycle, Software Lifecycle Design, Software Sdlc, Software-Development Life Cycle, Software-Development-Life-Cycle, Software-Full-Life-Cycle, Software-Life-Cycle, Structured Sdlc, Structured-Sdlc, system life cycle, System Lifecycle, system software product life cycle, Systems development life cycle, systems development life cycle management, Systems Lifecycle, Systems-development-life-cycle, Systems-Lifecycle", "FormattedName": "Software Development Life Cycle", "Ontology": "Information>Software Developers and Programmers>Software Development Life Cycle"}, {"Skill": "Software Services", "Type": "OperationalSkill", "Alias": "Business Model SaaS, Cloud Software-as-a-Service, Oracle SaaS, SaaS Business Model, saas model, SaaS platforms, Saas Product, Saas Products, Saas Tool, Software As Service, software as-a-service, software services, software-as-a-service, Software-As-A-Service Cloud, Software-As-A-Service Deployment, Software-As-A-Service Saas", "FormattedName": "Software As A Service", "Ontology": "Information>Software Developers and Programmers>Software As A Service"}], "Required": [{"Skill": "Capital Market", "Type": "OperationalSkill", "Alias": "Capital Market Finance, capital market operations, Capital Market Trading, Capital Market Trading System, Capital Market Trading Systems, capital markets, Capital Markets Advisory, capital markets industry knowledge, Capital Markets Insight, Capital Markets Network, capital markets processes, Capital-Market, Finance Capital Market", "FormattedName": "Capital Market", "Ontology": "Finance and Insurance>Fundraisers>Capital Market"}, {"Skill": "Core Java", "Type": "OperationalSkill", "Alias": "Advance Java, Advance Java Programming, core java, Core Java Programming, core-java, corejava, Embedded Java, Java 1, Java 1.2, Java 1.4, Java 1.5, Java 10, Java 11, Java 2, Java 2 Advanced Programming, Java 2 Programming, Java 3, Java 4, Java 5, java 5.0, Java 6, Java 7, Java 8, Java 8 Programming, Java 9, java application, Java Basic Programming, Java Coding, Java Dev Language, Java Development, Java Development Lang., Java Development Language, Java Platform, Java Platform Language, Java programming, Java Programming Language, Java Tech., java technologies, Java Technology, Java web development, Java Web Programming, java1, Java1.3, Java5, Java8, Microsoft Java Technologies, Ms Java Technologies, Oracle Java, programming core java, programming corejava, Programming Language Java, Programming Languages Java", "FormattedName": "Java", "Ontology": "Information>Software Developers and Programmers>Java"}, {"Skill": "Hibernate", "Type": "OperationalSkill", "Alias": "Framework Hibernate, Framework Hibernate Orm, Hibernate 3.0, hibernate 3.1, Hibernate 4, Hibernate 4.0, Hibernate 4.3, Hibernate 4.3.0, Hibernate 5, Hibernate 5.3, Hibernate 5.4, Hibernate 5.4.0, Hibernate Frame Work, Hibernate Framework, Hibernate Oracle, Hibernate Oracle 10G, Hibernate Oracle 11G, Hibernate Oracle 11I, Hibernate Oracle 9I, Hibernate Oracle10G, Hibernate Orm, Hibernate ORM Framework, Hibernate Orm software, Hibernate soft, Hibernate software, Oracle Hibernate", "FormattedName": "Hibernate", "Ontology": "Information>Database and Systems Administrators and Network Architects>Hibernate"}, {"Skill": "Multithreading", "Type": "OperationalSkill", "Alias": "Java Multithreading, multi thread, multi threading, Multi-Threaded, Multi-Threaded Development, Multi-threading, multithreaded development, multithreaded processing, multithreaded programming", "FormattedName": "Multithreading", "Ontology": "Information>Software Developers and Programmers>Multithreading"}, {"Skill": "Self Motivated", "Type": "SoftSkill", "Alias": "Personal Motivation, Self Motivated, Self-motivated, Self-Motivation, Strongly self-motivated", "FormattedName": "Self Motivation", "Ontology": "Management of Companies and Enterprises>Managers, All Other>Self Motivation"}, {"Skill": "Spring", "Type": "OperationalSkill", "Alias": "Frame Work Spring, Framework Spring, Spring, Spring 2.X, Spring 3.0, Spring 3.0 Framework, Spring 4.0, Spring 4.0 Framework, Spring Architecture, Spring Architecture Framework, Spring Frame work, spring framework 2.0, Spring Framework Architecture, Spring Web Framework, Spring-Framework", "FormattedName": "Spring Framework", "Ontology": "Information>Software Developers and Programmers>Web Framework>Spring Framework"}]}, "Responsibilities": "Gain confidence in work-related matters through the internship program.\nWork alongside great mentors in the chosen industry.\nVisit the must-see places in the United States on your days off.\nAccommodation and food will be taken care by employer.\nYour wife can also go and work on dependent Visa.\nAlumni Certificate at the end of the pogram to boost your carrier when you come back.\nCan work for consecutive 12 years in this pogram.", "ContactEmail": "ketki@bluemountimm.com", "ContactPhone": "555555555", "ContactPersonName": "BISHWAJIT DEY", "WebSite": "www.bluemounttest.com", "InterviewType": "", "InterviewDate": "01/01/2022", "InterviewTime": "", "InterviewLocation": "Sector 67 Mohali", "TypeOfSource": "", "JobDescription": "Software Developer \nYears of Experience : 0 yrs to 5 yrs \nCompany Name : Blue Mount Immigration Consulting Pvt Ltd , \nJob Location : Pune , Maharashtra , India\nStaffingAgency : No\nJobCode : 563\nJobShift : Flexible\nPostedOnDate : 10 April 2020\nClosingDate : 1 May 2020\nExperienceRequired : 0 to 5 years\nContractDuration : 1 Month\nHasContract : No\nSalaryOffered : 25000 to 30000 Rs.\nBill rate- 100 to 200 Rs. hourly\nNoticePeriod : 2 Month\nNoOfOpenings : 10 Vacancy\nRelocation : Delhi , India\nLanguages : Hindi , English \nNationality : Indian\nVisa : H1b\nAgeLimit : 25 yrs to 30 yrs\nInterview Type : \nInterview Date and Time : 20 April 2020 10 : 00 Am\nInterview Location : Sector 67 Mohali \n \n\nResponsibilites : \nGain confidence in work-related matters through the internship program.\nWork alongside great mentors in the chosen industry.\nVisit the must-see places in the United States on your days off.\nAccommodation and food will be taken care by employer.\nYour wife can also go and work on dependent Visa.\nAlumni Certificate at the end of the pogram to boost your carrier when you come back.\nCan work for consecutive 12 years in this pogram.\n\nFields : \nIT\n1. IT consultant\n2. Cloud architect\n3. Computer forensic investigator\n4. Health IT specialist\n5. Mobile application developer etc\n\nEligibility : \nDiploma/Degree in relevant field.\nA minimum 6 months of work experience in relevant field after completion of Diploma/Degree is added advantage.\nCandidates who are pursuing education can also apply.\nBasic English Ability to read , write and speak.\nShould be able to perform physical task.\nSelf motivated and should have presentable personality\n\nIndustry : IT-Software/Software Services\nFunctional Area : IT Software - Application Programming , Maintenance\nRole Category : IT\nRole : Software Developer\nEmployment Type : Permanent Job , Full Time\n\nKeyskills : \nRequired - \tCore Java , Spring , Hibernate , Multithreading , Capital Market\nPreferred- Java , Software Development Life Cycle , Client Handling , Software Services , Programming\n\nEducation : \nPreferred- M.Tech - Any Specialization\nRequired - B.Tech - Any Specialization\n\nCertifications : \nPreferred-Microsoft Certified Professional Developer ( MCPD ) \nRequired-Microsoft Certified Solutions Developer ( MCSD ) \n\nCompany Profile : \nBlue Mount Redefine the prospect to immigrate;\n with a success rate of 98 % we are proud to cater you a smooth migration at any part of the world. We value our client's investment and time and provide with best possible solution to move to any part. Our past 4 years service quality makes us the best amount any other immigration company with quality assurance.\n\nBased on the qualification & interest we guide people to relocate. Our team of qualified agents will make a hassle free immigration for you with an assurance. It gives us great privilege to make your dream destination , your home. We are expertise in a wide range of services like permanent residency , work permit , service contract , education abroad etc.\n\nRecruiter Name : BISHWAJIT DEY\nContact Company : Blue Mount Immigration Consulting Pvt Ltd\nEmail : ketki@bluemountimm.com\nPhone : 555555555\nWebsite : www.bluemounttest.com\n", "JDHtmlData": ""}} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"JDParsedData": {"type": "object", "properties": {"FileName": {"type": "string"}, "JDLanguage": {"type": "object", "properties": {"Language": {"type": "string"}, "LanguageCode": {"type": "string"}}, "required": ["Language", "LanguageCode"]}, "ParsingDate": {"type": "string"}, "JobProfile": {"type": "object", "properties": {"Title": {"type": "string"}, "Alias": {"type": "string"}, "FormattedName": {"type": "string"}, "RelatedSkills": {"type": "array", "items": {"type": "object", "properties": {"Skill": {"type": "string"}, "ProficiencyLevel": {"type": "string"}, "SkillType": {"type": "string"}}, "required": ["ProficiencyLevel", "Skill", "SkillType"]}}, "Ontology": {"type": "string"}}, "required": ["Alias", "FormattedName", "Ontology", "RelatedSkills", "Title"]}, "Organization": {"type": "string"}, "StaffingAgency": {"type": "string"}, "AboutOrganization": {"type": "string"}, "JobLocation": {"type": "object", "properties": {"Location": {"type": "string"}, "City": {"type": "string"}, "State": {"type": "string"}, "Country": {"type": "string"}, "IsoCountryCode": {"type": "string"}, "ZipCode": {"type": "string"}}, "required": ["City", "Country", "IsoCountryCode", "Location", "State", "ZipCode"]}, "JobCode": {"type": "string"}, "JobType": {"type": "string"}, "JobShift": {"type": "string"}, "IsManagementJob": {"type": "string"}, "IndustryType": {"type": "string"}, "ExcecutiveType": {"type": "string"}, "PostedOnDate": {"type": "string"}, "ClosingDate": {"type": "string"}, "ExperienceRequired": {"type": "object", "properties": {"MinimumYearsExperience": {"type": "string"}, "MaximumYearsExperience": {"type": "string"}}, "required": ["MaximumYearsExperience", "MinimumYearsExperience"]}, "ContractDuration": {"type": "string"}, "HasContract": {"type": "string"}, "SalaryOffered": {"type": "object", "properties": {"MinAmount": {"type": "string"}, "MaxAmount": {"type": "string"}, "Currency": {"type": "string"}, "Units": {"type": "string"}, "Text": {"type": "string"}}, "required": ["Currency", "MaxAmount", "MinAmount", "Text", "Units"]}, "BillRate": {"type": "object", "properties": {"MinAmount": {"type": "string"}, "MaxAmount": {"type": "string"}, "Currency": {"type": "string"}, "Units": {"type": "string"}, "Text": {"type": "string"}}, "required": ["Currency", "MaxAmount", "MinAmount", "Text", "Units"]}, "NoticePeriod": {"type": "string"}, "NoOfOpenings": {"type": "string"}, "Relocation": {"type": "string"}, "Languages": {"type": "string"}, "PreferredDemographic": {"type": "object", "properties": {"Nationality": {"type": "string"}, "Visa": {"type": "string"}, "AgeLimit": {"type": "string"}, "Others": {"type": "string"}}, "required": ["AgeLimit", "Nationality", "Others", "Visa"]}, "Domains": {"type": "array"}, "Qualifications": {"type": "object", "properties": {"Preferred": {"type": "array", "items": {"type": "string"}}, "Required": {"type": "array", "items": {"type": "string"}}}, "required": ["Preferred", "Required"]}, "Certifications": {"type": "object", "properties": {"Preferred": {"type": "array", "items": {"type": "string"}}, "Required": {"type": "array", "items": {"type": "string"}}}, "required": ["Preferred", "Required"]}, "Skills": {"type": "object", "properties": {"Preferred": {"type": "array", "items": {"type": "object", "properties": {"Skill": {"type": "string"}, "Type": {"type": "string"}, "Alias": {"type": "string"}, "FormattedName": {"type": "string"}, "Ontology": {"type": "string"}}, "required": ["Alias", "FormattedName", "Ontology", "Skill", "Type"]}}, "Required": {"type": "array", "items": {"type": "object", "properties": {"Skill": {"type": "string"}, "Type": {"type": "string"}, "Alias": {"type": "string"}, "FormattedName": {"type": "string"}, "Ontology": {"type": "string"}}, "required": ["Alias", "FormattedName", "Ontology", "Skill", "Type"]}}}, "required": ["Preferred", "Required"]}, "Responsibilities": {"type": "string"}, "ContactEmail": {"type": "string"}, "ContactPhone": {"type": "string"}, "ContactPersonName": {"type": "string"}, "WebSite": {"type": "string"}, "InterviewType": {"type": "string"}, "InterviewDate": {"type": "string"}, "InterviewTime": {"type": "string"}, "InterviewLocation": {"type": "string"}, "TypeOfSource": {"type": "string"}, "JobDescription": {"type": "string"}, "JDHtmlData": {"type": "string"}}, "required": ["AboutOrganization", "BillRate", "Certifications", "ClosingDate", "ContactEmail", "ContactPersonName", "ContactPhone", "ContractDuration", "Domains", "ExcecutiveType", "ExperienceRequired", "FileName", "HasContract", "IndustryType", "InterviewDate", "InterviewLocation", "InterviewTime", "InterviewType", "IsManagementJob", "JDHtmlData", "JDLanguage", "JobCode", "JobDescription", "JobLocation", "JobProfile", "JobShift", "JobType", "Languages", "NoOfOpenings", "NoticePeriod", "Organization", "ParsingDate", "PostedOnDate", "PreferredDemographic", "Qualifications", "Relocation", "Responsibilities", "SalaryOffered", "Skills", "StaffingAgency", "TypeOfSource", "WebSite"]}}, "required": ["JDParsedData"]} |
d8953a91-50a0-4e6e-85f4-d5257db70d1a/8052fa6e-5aa1-4f0a-8106-b4cfb600936d/0/0 | RChilli JD Parser | RChilli JD Parser is an intelligent software that extracts parameters from a Job Description. It processes job descriptions or vacancies in real-time. RChilli uses AI/ML trusted technologies to lexically parse a job description into the JSON output format. | null | JD Parser Binary API | JD Parser Binary API allows you to parse JD using binary data in base64 format. It enhances candidate experience by showing clear job descriptions to candidates. Scale operations through a structured job data extracted from the job feeds. Get job data in a structured format in seconds | 200 | New Example | {"JDParsedData": {"FileName": "JD sample.txt", "JDLanguage": {"Language": "English", "LanguageCode": "en"}, "ParsingDate": "03/01/2022 07:30:10.875", "JobProfile": {"Title": "Software Developer", "Alias": "Computer Software Engineer, Developer, Developer Software, Developer-Software, Engineer - Software, Engineer Software, IT Software Engineer, Service Software Engineer, Software - Engineer, Software Engineer, Software Engineer - Information Technology, Software-Developer, Technical - Software Engineer, Technical Developer, Technology Software Developer, Technology Software Engineer", "FormattedName": "Software Developer", "RelatedSkills": [{"Skill": "Code Analysis", "ProficiencyLevel": "Moderate", "SkillType": "Technology"}, {"Skill": "Critical Analysis", "ProficiencyLevel": "Moderate", "SkillType": "Knowledge"}, {"Skill": "Software Debugging", "ProficiencyLevel": "Moderate", "SkillType": "Knowledge"}, {"Skill": "Analytical Thinking", "ProficiencyLevel": "Proficient", "SkillType": "Soft"}, {"Skill": "Code Management", "ProficiencyLevel": "Native", "SkillType": "Knowledge"}, {"Skill": "Program Design", "ProficiencyLevel": "Moderate", "SkillType": "Knowledge"}, {"Skill": "Software Development Life Cycle", "ProficiencyLevel": "Moderate", "SkillType": "Technology"}, {"Skill": "Software Development", "ProficiencyLevel": "Moderate", "SkillType": "Technology"}, {"Skill": "Programming Language Theory", "ProficiencyLevel": "Native", "SkillType": "Technology"}, {"Skill": "Problem Solving", "ProficiencyLevel": "Moderate", "SkillType": "Soft"}, {"Skill": "Software Application Development", "ProficiencyLevel": "Moderate", "SkillType": "Technology"}, {"Skill": "Software Development Environment", "ProficiencyLevel": "Moderate", "SkillType": "Technology"}, {"Skill": "Object Oriented Design", "ProficiencyLevel": "Moderate", "SkillType": "Technology"}, {"Skill": "Software Engineering Process", "ProficiencyLevel": "Moderate", "SkillType": "Knowledge"}, {"Skill": "Troubleshooting", "ProficiencyLevel": "Moderate", "SkillType": "Soft"}, {"Skill": "Software Engineering", "ProficiencyLevel": "Moderate", "SkillType": "Knowledge"}, {"Skill": "Source Code Management", "ProficiencyLevel": "Native", "SkillType": "Knowledge"}, {"Skill": "Programming Principles", "ProficiencyLevel": "Native", "SkillType": "Technology"}, {"Skill": "Teamwork", "ProficiencyLevel": "Moderate", "SkillType": "Soft"}, {"Skill": "Coding Theory", "ProficiencyLevel": "Moderate", "SkillType": "Knowledge"}, {"Skill": "Enterprise\u00a0Software\u00a0Deployment", "ProficiencyLevel": "Moderate", "SkillType": "Knowledge"}, {"Skill": "Real Time Debugging", "ProficiencyLevel": "Native", "SkillType": "Knowledge"}, {"Skill": "Software Development Methodology", "ProficiencyLevel": "Moderate", "SkillType": "Technology"}, {"Skill": "Coding Interview", "ProficiencyLevel": "Moderate", "SkillType": "Knowledge"}, {"Skill": "Linx", "ProficiencyLevel": "Moderate", "SkillType": "Tool"}, {"Skill": "Codenvy", "ProficiencyLevel": "Moderate", "SkillType": "Tool"}], "Ontology": "Information>Software Developers and Programmers>Software Developer"}, "Organization": "Blue Mount Immigration Consulting Pvt Ltd", "StaffingAgency": "", "AboutOrganization": "Blue Mount Redefine the prospect to immigrate; \n with a success rate of 98 % we are proud to cater you a smooth migration at any part of the world. We value our client's investment and time and provide with best possible solution to move to any part. Our past 4 years service quality makes us the best amount any other immigration company with quality assurance. \n \n Based on the qualification & interest we guide people to relocate. Our team of qualified agents will make a hassle free immigration for you with an assurance. It gives us great privilege to make your dream destination, your home. We are expertise in a wide range of services like permanent residency, work permit, service contract, education abroad etc. \n ", "JobLocation": {"Location": "Pune , Maharashtra", "City": "Pune", "State": "Maharashtra", "Country": "India", "IsoCountryCode": "IN", "ZipCode": ""}, "JobCode": "", "JobType": "Permanent Job, Full Time", "JobShift": "", "IsManagementJob": "false", "IndustryType": "IT-Software/Software Services", "ExcecutiveType": "Information", "PostedOnDate": "03/01/2022", "ClosingDate": "01/05/2020", "ExperienceRequired": {"MinimumYearsExperience": "0 Years", "MaximumYearsExperience": ""}, "ContractDuration": "1 Month", "HasContract": "true", "SalaryOffered": {"MinAmount": "", "MaxAmount": "", "Currency": "INR", "Units": "Hour", "Text": "Rs. hourly"}, "BillRate": {"MinAmount": "100.0", "MaxAmount": "200.0", "Currency": "INR", "Units": "Hour", "Text": "100 to 200 Rs. hourly"}, "NoticePeriod": "", "NoOfOpenings": "", "Relocation": "", "Languages": "English, Hindi", "PreferredDemographic": {"Nationality": "Indian", "Visa": "H1b", "AgeLimit": "", "Others": ""}, "Domains": [], "Qualifications": {"Preferred": ["Diploma", "M.Tech"], "Required": ["B.Tech"]}, "Certifications": {"Preferred": ["Microsoft Certified Professional Developer", "MCPD"], "Required": ["Microsoft Certified Solutions Developer", "MCSD"]}, "Skills": {"Preferred": [{"Skill": "Ability To Read", "Type": "SoftSkill", "Alias": "Ability To Read And Follow Instructions, Ability To Read And Interpret Documents", "FormattedName": "Ability To Read", "Ontology": "Administrative and Support and Waste Management and Remediation Services>File Clerks>Ability To Read"}, {"Skill": "Application Programming", "Type": "OperationalSkill", "Alias": "Application-Programming, applications programming", "FormattedName": "Application Programming", "Ontology": "Information>Software Developers and Programmers>Application Programming"}, {"Skill": "Client Handling", "Type": "OperationalSkill", "Alias": "Client Handling, client handling operations, Customer-Handling, Handling Di\ufb03cult Customers", "FormattedName": "Customer Handling", "Ontology": "Administrative and Support and Waste Management and Remediation Services>Customer Service Representatives>Customer Handling"}, {"Skill": "Computer Forensic", "Type": "OperationalSkill", "Alias": "Computer Forensics, Computer-Forensic, cyber forensics", "FormattedName": "Computer Forensic", "Ontology": "Arts, Entertainment, and Recreation>Forensic Science Technicians>Computer Forensic"}, {"Skill": "Confidence", "Type": "BehaviorSkill", "Alias": "assertion, assertive, confidence, self-assured", "FormattedName": "Assertiveness", "Ontology": "Management of Companies and Enterprises>Management Occupations>Assertiveness"}, {"Skill": "Consulting", "Type": "OperationalSkill", "Alias": "consulting skills", "FormattedName": "Consulting", "Ontology": "Finance and Insurance>Business Operations Specialists>Consulting"}, {"Skill": "Immigration", "Type": "OperationalSkill", "Alias": "Immigration knowledge", "FormattedName": "Immigration", "Ontology": "Finance and Insurance>Compliance Officers>Immigration"}, {"Skill": "Investigator", "Type": "SoftSkill", "Alias": "", "FormattedName": "", "Ontology": ""}, {"Skill": "Java", "Type": "OperationalSkill", "Alias": "Advance Java, Advance Java Programming, core java, Core Java Programming, core-java, corejava, Embedded Java, Java 1, Java 1.2, Java 1.4, Java 1.5, Java 10, Java 11, Java 2, Java 2 Advanced Programming, Java 2 Programming, Java 3, Java 4, Java 5, java 5.0, Java 6, Java 7, Java 8, Java 8 Programming, Java 9, java application, Java Basic Programming, Java Coding, Java Dev Language, Java Development, Java Development Lang., Java Development Language, Java Platform, Java Platform Language, Java programming, Java Programming Language, Java Tech., java technologies, Java Technology, Java web development, Java Web Programming, java1, Java1.3, Java5, Java8, Microsoft Java Technologies, Ms Java Technologies, Oracle Java, programming core java, programming corejava, Programming Language Java, Programming Languages Java", "FormattedName": "Java", "Ontology": "Information>Software Developers and Programmers>Java"}, {"Skill": "Maintenance", "Type": "OperationalSkill", "Alias": "Ensuring Maintenance, Maintenance Repair and Operations, Maintenance, Repair and Operations, mro", "FormattedName": "Maintenance", "Ontology": "Installation, Maintenance, and Repair Occupations>Maintenance and Repair Workers, General>Maintenance"}, {"Skill": "Mentors", "Type": "SoftSkill", "Alias": "Mentor-Ship, mentoring skills, mentors, Mentorship", "FormattedName": "Mentoring", "Ontology": "Management of Companies and Enterprises>Managers, All Other>Mentoring"}, {"Skill": "Programming", "Type": "OperationalSkill", "Alias": "advanced programming, code programming, Coding, coding languages, coding skills, Computer Lang., Computer Language, Computer programming, Computer Programming Lang., Computer Programming Language, Computer Science Programming, development languages, its programming, Operations Programming, Programming, Programming Coding, programming concepts, Programming Lang., Programming Languages, programming skills, Programming-Language, Software & Programming Languages, software coding, Software Programming", "FormattedName": "Programming Language", "Ontology": "Information>Software Developers and Programmers>Programming Language"}, {"Skill": "Software Development Life Cycle", "Type": "OperationalSkill", "Alias": "application development life cycle, Cycle Development, Delivery Lifecycle, Development Cycle, development lifecycle, Frameworks Lifecycle Development, Full Development Life Cycle, full life cycle development, Full Sdlc, full software lifecycle, lifecycle development, manage the software development life, SDLC, Sdlc Framework, Sdlc Frameworks, SDLC Methodologies, software design life cycle management, software design lifecycle management, Software Development Cycle, Software Development Cycle Management, Software Development Life Cycle Design, Software Development Life Cycle Management, Software Development Life Cycle Sdlc, software development life cycles, Software Development Life Cycles Sdlc, Software Development Life-Cycle, software development lifecycle, Software Development Lifecycle Management, Software Development Project Life Cycle, Software Full Life Cycle, Software Life Cycle, Software Lifecycle, Software Lifecycle Design, Software Sdlc, Software-Development Life Cycle, Software-Development-Life-Cycle, Software-Full-Life-Cycle, Software-Life-Cycle, Structured Sdlc, Structured-Sdlc, system life cycle, System Lifecycle, system software product life cycle, Systems development life cycle, systems development life cycle management, Systems Lifecycle, Systems-development-life-cycle, Systems-Lifecycle", "FormattedName": "Software Development Life Cycle", "Ontology": "Information>Software Developers and Programmers>Software Development Life Cycle"}, {"Skill": "Software Services", "Type": "OperationalSkill", "Alias": "Business Model SaaS, Cloud Software-as-a-Service, Oracle SaaS, SaaS Business Model, saas model, SaaS platforms, Saas Product, Saas Products, Saas Tool, Software As Service, software as-a-service, software services, software-as-a-service, Software-As-A-Service Cloud, Software-As-A-Service Deployment, Software-As-A-Service Saas", "FormattedName": "Software As A Service", "Ontology": "Information>Software Developers and Programmers>Software As A Service"}], "Required": [{"Skill": "Capital Market", "Type": "OperationalSkill", "Alias": "Capital Market Finance, capital market operations, Capital Market Trading, Capital Market Trading System, Capital Market Trading Systems, capital markets, Capital Markets Advisory, capital markets industry knowledge, Capital Markets Insight, Capital Markets Network, capital markets processes, Capital-Market, Finance Capital Market", "FormattedName": "Capital Market", "Ontology": "Finance and Insurance>Fundraisers>Capital Market"}, {"Skill": "Core Java", "Type": "OperationalSkill", "Alias": "Advance Java, Advance Java Programming, core java, Core Java Programming, core-java, corejava, Embedded Java, Java 1, Java 1.2, Java 1.4, Java 1.5, Java 10, Java 11, Java 2, Java 2 Advanced Programming, Java 2 Programming, Java 3, Java 4, Java 5, java 5.0, Java 6, Java 7, Java 8, Java 8 Programming, Java 9, java application, Java Basic Programming, Java Coding, Java Dev Language, Java Development, Java Development Lang., Java Development Language, Java Platform, Java Platform Language, Java programming, Java Programming Language, Java Tech., java technologies, Java Technology, Java web development, Java Web Programming, java1, Java1.3, Java5, Java8, Microsoft Java Technologies, Ms Java Technologies, Oracle Java, programming core java, programming corejava, Programming Language Java, Programming Languages Java", "FormattedName": "Java", "Ontology": "Information>Software Developers and Programmers>Java"}, {"Skill": "Hibernate", "Type": "OperationalSkill", "Alias": "Framework Hibernate, Framework Hibernate Orm, Hibernate 3.0, hibernate 3.1, Hibernate 4, Hibernate 4.0, Hibernate 4.3, Hibernate 4.3.0, Hibernate 5, Hibernate 5.3, Hibernate 5.4, Hibernate 5.4.0, Hibernate Frame Work, Hibernate Framework, Hibernate Oracle, Hibernate Oracle 10G, Hibernate Oracle 11G, Hibernate Oracle 11I, Hibernate Oracle 9I, Hibernate Oracle10G, Hibernate Orm, Hibernate ORM Framework, Hibernate Orm software, Hibernate soft, Hibernate software, Oracle Hibernate", "FormattedName": "Hibernate", "Ontology": "Information>Database and Systems Administrators and Network Architects>Hibernate"}, {"Skill": "Multithreading", "Type": "OperationalSkill", "Alias": "Java Multithreading, multi thread, multi threading, Multi-Threaded, Multi-Threaded Development, Multi-threading, multithreaded development, multithreaded processing, multithreaded programming", "FormattedName": "Multithreading", "Ontology": "Information>Software Developers and Programmers>Multithreading"}, {"Skill": "Self Motivated", "Type": "SoftSkill", "Alias": "Personal Motivation, Self Motivated, Self-motivated, Self-Motivation, Strongly self-motivated", "FormattedName": "Self Motivation", "Ontology": "Management of Companies and Enterprises>Managers, All Other>Self Motivation"}, {"Skill": "Spring", "Type": "OperationalSkill", "Alias": "Frame Work Spring, Framework Spring, Spring, Spring 2.X, Spring 3.0, Spring 3.0 Framework, Spring 4.0, Spring 4.0 Framework, Spring Architecture, Spring Architecture Framework, Spring Frame work, spring framework 2.0, Spring Framework Architecture, Spring Web Framework, Spring-Framework", "FormattedName": "Spring Framework", "Ontology": "Information>Software Developers and Programmers>Web Framework>Spring Framework"}]}, "Responsibilities": "Gain confidence in work-related matters through the internship program.\nWork alongside great mentors in the chosen industry.\nVisit the must-see places in the United States on your days off.\nAccommodation and food will be taken care by employer.\nYour wife can also go and work on dependent Visa.\nAlumni Certificate at the end of the pogram to boost your carrier when you come back.\nCan work for consecutive 12 years in this pogram.", "ContactEmail": "ketki@bluemountimm.com", "ContactPhone": "555555555", "ContactPersonName": "BISHWAJIT DEY", "WebSite": "www.bluemounttest.com", "InterviewType": "", "InterviewDate": "01/01/2022", "InterviewTime": "", "InterviewLocation": "Sector 67 Mohali", "TypeOfSource": "", "JobDescription": "Software Developer \nYears of Experience : 0 yrs to 5 yrs \nCompany Name : Blue Mount Immigration Consulting Pvt Ltd , \nJob Location : Pune , Maharashtra , India\nStaffingAgency : No\nJobCode : 563\nJobShift : Flexible\nPostedOnDate : 10 April 2020\nClosingDate : 1 May 2020\nExperienceRequired : 0 to 5 years\nContractDuration : 1 Month\nHasContract : No\nSalaryOffered : 25000 to 30000 Rs.\nBill rate- 100 to 200 Rs. hourly\nNoticePeriod : 2 Month\nNoOfOpenings : 10 Vacancy\nRelocation : Delhi , India\nLanguages : Hindi , English \nNationality : Indian\nVisa : H1b\nAgeLimit : 25 yrs to 30 yrs\nInterview Type : \nInterview Date and Time : 20 April 2020 10 : 00 Am\nInterview Location : Sector 67 Mohali \n \n\nResponsibilites : \nGain confidence in work-related matters through the internship program.\nWork alongside great mentors in the chosen industry.\nVisit the must-see places in the United States on your days off.\nAccommodation and food will be taken care by employer.\nYour wife can also go and work on dependent Visa.\nAlumni Certificate at the end of the pogram to boost your carrier when you come back.\nCan work for consecutive 12 years in this pogram.\n\nFields : \nIT\n1. IT consultant\n2. Cloud architect\n3. Computer forensic investigator\n4. Health IT specialist\n5. Mobile application developer etc\n\nEligibility : \nDiploma/Degree in relevant field.\nA minimum 6 months of work experience in relevant field after completion of Diploma/Degree is added advantage.\nCandidates who are pursuing education can also apply.\nBasic English Ability to read , write and speak.\nShould be able to perform physical task.\nSelf motivated and should have presentable personality\n\nIndustry : IT-Software/Software Services\nFunctional Area : IT Software - Application Programming , Maintenance\nRole Category : IT\nRole : Software Developer\nEmployment Type : Permanent Job , Full Time\n\nKeyskills : \nRequired - \tCore Java , Spring , Hibernate , Multithreading , Capital Market\nPreferred- Java , Software Development Life Cycle , Client Handling , Software Services , Programming\n\nEducation : \nPreferred- M.Tech - Any Specialization\nRequired - B.Tech - Any Specialization\n\nCertifications : \nPreferred-Microsoft Certified Professional Developer ( MCPD ) \nRequired-Microsoft Certified Solutions Developer ( MCSD ) \n\nCompany Profile : \nBlue Mount Redefine the prospect to immigrate;\n with a success rate of 98 % we are proud to cater you a smooth migration at any part of the world. We value our client's investment and time and provide with best possible solution to move to any part. Our past 4 years service quality makes us the best amount any other immigration company with quality assurance.\n\nBased on the qualification & interest we guide people to relocate. Our team of qualified agents will make a hassle free immigration for you with an assurance. It gives us great privilege to make your dream destination , your home. We are expertise in a wide range of services like permanent residency , work permit , service contract , education abroad etc.\n\nRecruiter Name : BISHWAJIT DEY\nContact Company : Blue Mount Immigration Consulting Pvt Ltd\nEmail : ketki@bluemountimm.com\nPhone : 555555555\nWebsite : www.bluemounttest.com\n", "JDHtmlData": ""}} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"JDParsedData": {"type": "object", "properties": {"FileName": {"type": "string"}, "JDLanguage": {"type": "object", "properties": {"Language": {"type": "string"}, "LanguageCode": {"type": "string"}}, "required": ["Language", "LanguageCode"]}, "ParsingDate": {"type": "string"}, "JobProfile": {"type": "object", "properties": {"Title": {"type": "string"}, "Alias": {"type": "string"}, "FormattedName": {"type": "string"}, "RelatedSkills": {"type": "array", "items": {"type": "object", "properties": {"Skill": {"type": "string"}, "ProficiencyLevel": {"type": "string"}, "SkillType": {"type": "string"}}, "required": ["ProficiencyLevel", "Skill", "SkillType"]}}, "Ontology": {"type": "string"}}, "required": ["Alias", "FormattedName", "Ontology", "RelatedSkills", "Title"]}, "Organization": {"type": "string"}, "StaffingAgency": {"type": "string"}, "AboutOrganization": {"type": "string"}, "JobLocation": {"type": "object", "properties": {"Location": {"type": "string"}, "City": {"type": "string"}, "State": {"type": "string"}, "Country": {"type": "string"}, "IsoCountryCode": {"type": "string"}, "ZipCode": {"type": "string"}}, "required": ["City", "Country", "IsoCountryCode", "Location", "State", "ZipCode"]}, "JobCode": {"type": "string"}, "JobType": {"type": "string"}, "JobShift": {"type": "string"}, "IsManagementJob": {"type": "string"}, "IndustryType": {"type": "string"}, "ExcecutiveType": {"type": "string"}, "PostedOnDate": {"type": "string"}, "ClosingDate": {"type": "string"}, "ExperienceRequired": {"type": "object", "properties": {"MinimumYearsExperience": {"type": "string"}, "MaximumYearsExperience": {"type": "string"}}, "required": ["MaximumYearsExperience", "MinimumYearsExperience"]}, "ContractDuration": {"type": "string"}, "HasContract": {"type": "string"}, "SalaryOffered": {"type": "object", "properties": {"MinAmount": {"type": "string"}, "MaxAmount": {"type": "string"}, "Currency": {"type": "string"}, "Units": {"type": "string"}, "Text": {"type": "string"}}, "required": ["Currency", "MaxAmount", "MinAmount", "Text", "Units"]}, "BillRate": {"type": "object", "properties": {"MinAmount": {"type": "string"}, "MaxAmount": {"type": "string"}, "Currency": {"type": "string"}, "Units": {"type": "string"}, "Text": {"type": "string"}}, "required": ["Currency", "MaxAmount", "MinAmount", "Text", "Units"]}, "NoticePeriod": {"type": "string"}, "NoOfOpenings": {"type": "string"}, "Relocation": {"type": "string"}, "Languages": {"type": "string"}, "PreferredDemographic": {"type": "object", "properties": {"Nationality": {"type": "string"}, "Visa": {"type": "string"}, "AgeLimit": {"type": "string"}, "Others": {"type": "string"}}, "required": ["AgeLimit", "Nationality", "Others", "Visa"]}, "Domains": {"type": "array"}, "Qualifications": {"type": "object", "properties": {"Preferred": {"type": "array", "items": {"type": "string"}}, "Required": {"type": "array", "items": {"type": "string"}}}, "required": ["Preferred", "Required"]}, "Certifications": {"type": "object", "properties": {"Preferred": {"type": "array", "items": {"type": "string"}}, "Required": {"type": "array", "items": {"type": "string"}}}, "required": ["Preferred", "Required"]}, "Skills": {"type": "object", "properties": {"Preferred": {"type": "array", "items": {"type": "object", "properties": {"Skill": {"type": "string"}, "Type": {"type": "string"}, "Alias": {"type": "string"}, "FormattedName": {"type": "string"}, "Ontology": {"type": "string"}}, "required": ["Alias", "FormattedName", "Ontology", "Skill", "Type"]}}, "Required": {"type": "array", "items": {"type": "object", "properties": {"Skill": {"type": "string"}, "Type": {"type": "string"}, "Alias": {"type": "string"}, "FormattedName": {"type": "string"}, "Ontology": {"type": "string"}}, "required": ["Alias", "FormattedName", "Ontology", "Skill", "Type"]}}}, "required": ["Preferred", "Required"]}, "Responsibilities": {"type": "string"}, "ContactEmail": {"type": "string"}, "ContactPhone": {"type": "string"}, "ContactPersonName": {"type": "string"}, "WebSite": {"type": "string"}, "InterviewType": {"type": "string"}, "InterviewDate": {"type": "string"}, "InterviewTime": {"type": "string"}, "InterviewLocation": {"type": "string"}, "TypeOfSource": {"type": "string"}, "JobDescription": {"type": "string"}, "JDHtmlData": {"type": "string"}}, "required": ["AboutOrganization", "BillRate", "Certifications", "ClosingDate", "ContactEmail", "ContactPersonName", "ContactPhone", "ContractDuration", "Domains", "ExcecutiveType", "ExperienceRequired", "FileName", "HasContract", "IndustryType", "InterviewDate", "InterviewLocation", "InterviewTime", "InterviewType", "IsManagementJob", "JDHtmlData", "JDLanguage", "JobCode", "JobDescription", "JobLocation", "JobProfile", "JobShift", "JobType", "Languages", "NoOfOpenings", "NoticePeriod", "Organization", "ParsingDate", "PostedOnDate", "PreferredDemographic", "Qualifications", "Relocation", "Responsibilities", "SalaryOffered", "Skills", "StaffingAgency", "TypeOfSource", "WebSite"]}}, "required": ["JDParsedData"]} |
c67080b4-eeb2-4eb9-a2e3-ddd4ebe7f715/4d1f1bde-764f-4454-a32e-a9ab6bf142f3/0/0 | Language identify/detector | Language identify/detector. State of art language identification, which can recognize 175 languages. | 7.8 | languageIdentify | Language detection | 200 | Success | {"languageCodes": [{"code": "en", "confidence": 0.9996091723442078}, {"code": "ru", "confidence": 6.423522427212447e-05}, {"code": "ja", "confidence": 3.973228012910113e-05}, {"code": "zh", "confidence": 3.182452928740531e-05}, {"code": "th", "confidence": 2.955371019197628e-05}, {"code": "de", "confidence": 2.7530935767572373e-05}, {"code": "he", "confidence": 2.2131032892502844e-05}, {"code": "id", "confidence": 2.148278508684598e-05}, {"code": "fa", "confidence": 1.5496183550567366e-05}, {"code": "es", "confidence": 1.3159996342437807e-05}]} | {"type": "object", "properties": {"languageCodes": {"type": "array", "items": {"type": "object", "properties": {"code": {"type": "string"}, "confidence": {"type": "number"}}}}}} |
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