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 |
|---|---|---|---|---|---|---|---|---|---|
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,... | {"$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": {... |
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... | {"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"}, "t... |
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... |
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. Flo... | 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 ch... | {"$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": ["aut... |
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": "Messag... |
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, insecu... | 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 booki... | {"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": "inte... |
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... |
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": "inte... |
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... |
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 relevan... | 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} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"context": {"type": "object", "properties": {"requestID": {"type": "string"}}, "required": ["requestID"]}, "errors": {"type": "array", "items": {"type": "string"}}, "data": {"type": "null"}}, "required": ["context", "data", "errors"]} |
fb936bd8-7e43-4678-82a1-0833695f2629/d134382e-f647-431b-9e57-ff4ebca4c142/0/1 | Job Description Generator | Job Description Generator API
Generate skills, responsibilities, qualifications, and personalized intro based on the job title.
The workflow would be:
Generate skills from the job title.
Generate responsibilities from the job title and relevant skills from step 1.
Generate qualifications from the job title and relevan... | 9 | Generate Responsibilities | Generate job responsibilities based on the job title and skills. The responsibilities will return as a list. | 400 | Missing Title | {"context": {"requestID": "5f77fe1f-a63d-4d09-b732-01af3f21606d"}, "errors": ["title is required"], "data": null} | {"$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 relevan... | 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 relevan... | 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 ap... | {"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 relevan... | 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 relevan... | 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} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"context": {"type": "object", "properties": {"requestID": {"type": "string"}}, "required": ["requestID"]}, "errors": {"type": "array", "items": {"type": "string"}}, "data": {"type": "null"}}, "required": ["context", "data", "errors"]} |
fb936bd8-7e43-4678-82a1-0833695f2629/4dea7221-0a7f-43e8-99de-4f95b12a465c/0/2 | Job Description Generator | Job Description Generator API
Generate skills, responsibilities, qualifications, and personalized intro based on the job title.
The workflow would be:
Generate skills from the job title.
Generate responsibilities from the job title and relevant skills from step 1.
Generate qualifications from the job title and relevan... | 9 | Generate Skills | Generate skills based on the job title. | 400 | Missing Title | {"context": {"requestID": "5f77fe1f-a63d-4d09-b732-01af3f21606d"}, "errors": ["title is required"], "data": null} | {"$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 relevan... | 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} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"context": {"type": "object"}, "errors": {"type": "array", "items": {"type": "string"}}, "data": {"type": "null"}}, "required": ["context", "data", "errors"]} |
fb936bd8-7e43-4678-82a1-0833695f2629/4dea7221-0a7f-43e8-99de-4f95b12a465c/1/0 | Job Description Generator | Job Description Generator API
Generate skills, responsibilities, qualifications, and personalized intro based on the job title.
The workflow would be:
Generate skills from the job title.
Generate responsibilities from the job title and relevant skills from step 1.
Generate qualifications from the job title and relevan... | 9 | Generate Skills | Generate skills based on the job title. | 200 | Valid Response | {"context": {"requestID": "7aa31d99-f88c-4a6a-8932-5bbac1071ffd"}, "errors": [], "data": ["Object-Oriented Programming", "MySQL", "HTML", "CSS", "JavaScript", "AJAX", "XML", "JSON", "Laravel", "Symfony", "CodeIgniter", "Git", "MVC Frameworks", "Linux/Unix", "Apache", "RESTful APIs"]} | {"$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 relevan... | 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 techno... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"context": {"type": "object", "properties": {"requestID": {"type": "string"}}, "required": ["requestID"]}, "errors": {"type": "array"}, "data": {"type": "string"}}, "required": ["context", "data", "errors"]} |
fb936bd8-7e43-4678-82a1-0833695f2629/6d343518-6ed0-43d4-a4d9-248eff16c0e9/0/0 | Job Description Generator | Job Description Generator API
Generate skills, responsibilities, qualifications, and personalized intro based on the job title.
The workflow would be:
Generate skills from the job title.
Generate responsibilities from the job title and relevant skills from step 1.
Generate qualifications from the job title and relevan... | 9 | Generate Qualifications | Generate skills based on the job title. | 200 | Valid Response | {"context": {"requestID": "995b57b0-0d29-4271-9d03-97b60ed82737"}, "errors": [], "data": ["Design and develop applications and system components using PHP 7 and Laravel", "Develop and integrate front-end user interfaces with backend technologies", "Develop and maintain databases using MySQL", "Troubleshoot and debug ap... | {"$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 relevan... | 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 ... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"context": {"type": "object", "properties": {"requestID": {"type": "string"}}, "required": ["requestID"]}, "errors": {"type": "array"}, "data": {"type": "string"}}, "required": ["context", "data", "errors"]} |
1085e926-2b10-4850-8113-36f98743ede6/67891631-fa43-4999-a9ff-0f2788d4457e/0/0 | Emotion Recognition | Classify text into one of 7 emotions: anger 🤬, disgust 🤢, fear 😨, joy 😀, neutral 😐, sadness 😭, and surprise 😲. | 5.4 | Emotion Recognition | Classify emotions in English text data. Powered by AI. | 200 | Response | [{"label": "joy", "score": 0.9762780666351318}, {"label": "sadness", "score": 0.006413798779249191}, {"label": "neutral", "score": 0.005555825307965279}, {"label": "anger", "score": 0.003799660596996546}, {"label": "surprise", "score": 0.0037724850699305534}, {"label": "disgust", "score": 0.0034403549507260323}, {"labe... | {"type": "array", "items": {"type": "object", "properties": {"label": {"type": "string"}, "score": {"type": "number"}}}} |
4d128686-c2e8-428c-b8d0-90b0e427f65c/4ced7c6d-3d8d-4141-bc1b-a7ebc81c6d04/0/0 | Linguist | Linguist packs all features you need to process text including Counters, Article Parser, Part of Speech (POS) Tagger, Tokenizer, Stemmer, Bad Words Remover, Stop Words Remover, Sentence Segmentation, Spellchecker, Text Summarizer, Definition and Synonyms, Word Frequency, Lemmatize, Pluralize, Singularize, Rhymes, Soun... | 1.7 | Article Parser | Parse article from a URL | 200 | Response | {"code": 0, "message": "success", "type": "article-parser", "results": {"url": "https://www.gatesnotes.com/Energy/My-message-to-the-world-at-COP26", "title": "My message to the world at COP26", "description": "If we\u2019re going to avoid the worst effects of a climate disaster, we need to make sure zero-carbon alterna... | {"$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":... |
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, Soun... | 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, Soun... | 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, Soun... | 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, Soun... | 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, Soun... | 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"... | {"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, Soun... | 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, Soun... | 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, Soun... | 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"]}}, "re... |
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": "inte... |
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... |
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... | 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": {"titl... |
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... | 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": "Messag... |
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 ... | 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": {"titl... |
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 ... | 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": "Messag... |
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... | 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... | 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... | 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": fal... | {"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 ... |
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"... |
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}]}} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"status": {"type": "string"}, "error": {"type": "null"}, "data": {"type": "object", "properties": {"score": {"type": "integer"}, "comparative": {"type": "number"}, "calculation": {"type": "array", "items": {"type": "object", "properties": {"... |
8fb3f7de-fbe5-4e1c-a9da-3db71faf3e95/7e0d8568-9fe4-40ab-9f43-279ec42e53d7/0/0 | Profanity Detection | Pass in text, get back a JSON array telling you which words in it are profane. | 7.3 | Profanity Check | You can pass any plain text to the profanity detector API to be examined for profanity. You can also specify how sensitive you would like the profanity detector to be. Works with English content only. | 200 | Response | {"profanities": [{"length": 7, "profanity": "fucking", "start": 8, "type": "sexual"}], "profanity_count": 1, "response_timestamp": 1613034334, "result": "success", "server_reference": "web1"} | {"$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... |
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", ... | {"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"}, "Messag... |
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}, "sent... | {"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"... |
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}]} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"status": {"type": "string"}, "text_words": {"type": "string"}, "unique_keywords": {"type": "string"}, "density": {"type": "array", "items": {"type": "object", "properties": {"text": {"type": "integer"}, "is": {"type": "integer"}, "this": {"... |
49915053-92de-4701-8b72-bcc76a9aa569/d7130526-a7a9-4671-b9ac-d25368ec1ceb/0/0 | Keyword Density | Get keyword density analyzing a text. Discover how many times your keyword is occurring on any article, so that you can better optimize your page for SEO or other text analysis. | 0 | Keyword Density | Submit a text and immediately get a list of relevant words with density (percentage). | 200 | Response | {"status": "ok", "text_words": "18", "unique_keywords": "15", "density": [{"text": "17", "is": "11", "this": "6", "a": "6", "sample": "6", "and": "6", "i": "6", "love": "6", "working": "6", "with": "6", "documents": "6", "because": "6", "analysis": "6", "my": "6", "passion": "6"}]} | {"$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": {"ty... |
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 Michae... | {"$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-gene... | 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": "Messag... |
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-gene... | 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 s... |
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-gene... | 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 s... |
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 releva... | 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 competitio... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"keywords": {"type": "object", "properties": {"used books": {"type": "object", "properties": {"similarity": {"type": "integer"}, "search volume": {"type": "string"}, "cpc": {"type": "string"}, "paid competition": {"type": "string"}}, "requir... |
58dc32e1e4b039287a8e737e/090d17f5-4942-4563-8eb0-b18cc298279f/0/0 | Keyword Suggestion | Get keywords and search volume for PPC and SEO scored by relevance. | 9.6 | Keyword Suggestion (post) | Recommend keywords for SEO and SEM scored by relevance. | 200 | Response | {"keywords": {"used books": {"similarity": 1, "search volume": "135000", "cpc": "0.72", "paid competition": "0.43"}, "used books online": {"similarity": 1, "search volume": "22200", "cpc": "0.915", "paid competition": "1"}, "mckay's used books": {"similarity": 1, "search volume": "3600", "cpc": "0.79", "paid competitio... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"keywords": {"type": "object", "properties": {"used books": {"type": "object", "properties": {"similarity": {"type": "integer"}, "search volume": {"type": "string"}, "cpc": {"type": "string"}, "paid competition": {"type": "string"}}, "requir... |
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 perso... | 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... | {"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": "s... |
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": "Messag... |
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} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"status": {"type": "string"}, "query": {"type": "string"}, "sentiment": {"type": "integer"}}, "required": ["query", "sentiment", "status"]} |
927a610f-1c3c-4811-839b-6e8c0b51e533/3e5059f4-e648-4c3f-b934-60685a410afa/0/0 | Sentino | Sentino API is used to understand personality traits (Big5, NEO etc.) using NLP. | 0.3 | Personality from Questionnaire | This endpoint extracts psychological traits (such as Big Five, NEO) from the a questionnaire you collected data with. You can use many other inventories (Big5) such as ORVIS (similar to RIASEC), SPI etc.
What you need is to ask a person direct questions, collect the responses and use this endpoint for getting scoring,... | 200 | Response | {"facts": [{"lang": "en", "text": "I am extraverted. I like to read books"}, {"lang": "en", "response": "disagree", "text": "I don't like to chat."}], "inventories": ["big5"], "scoring": {"big5": {"agreeableness": {"quantile": 0.416, "score": 0.547, "confidence": 0.007, "confidence_text": "very low"}, "conscientiousnes... | {"$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":... |
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, "scor... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"text": {"type": "string"}, "inventories": {"type": "array", "items": {"type": "string"}}, "scoring": {"type": "object", "properties": {"neo": {"type": "object", "properties": {"achievement": {"type": "object", "properties": {"quantile": {"t... |
927a610f-1c3c-4811-839b-6e8c0b51e533/12db666a-c163-4e37-a65d-feed03def61c/0/0 | Sentino | Sentino API is used to understand personality traits (Big5, NEO etc.) using NLP. | 0.3 | Big Five Personality Insights | This endpoint extracts Big Five psychological traits from the text written by the person. These include: Openness, Conscientiousness, Extraversion, Agreeableness, Neuroticism also known as OCEAN. | 200 | Response | {"text": "I am 30 years old man. I studied physics and currently work as a software engineer. I am married and have a couple of kids. What else I can tell... I am open to new experience and like to chat. I am being nasty sometimes.", "inventories": ["big5", "neo"], "scoring": {"big5": {"agreeableness": {"quantile": 0... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"text": {"type": "string"}, "inventories": {"type": "array", "items": {"type": "string"}}, "scoring": {"type": "object", "properties": {"big5": {"type": "object", "properties": {"agreeableness": {"type": "object", "properties": {"quantile": ... |
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... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"text": {"type": "string"}, "inventories": {"type": "array", "items": {"type": "string"}}, "scoring": {"type": "object", "properties": {"big5": {"type": "object", "properties": {"agreeableness": {"type": "object", "properties": {"quantile": ... |
927a610f-1c3c-4811-839b-6e8c0b51e533/fd2a71c2-8426-4580-b35a-6f07bd485974/0/0 | Sentino | Sentino API is used to understand personality traits (Big5, NEO etc.) using NLP. | 0.3 | Questionnaire Sentino | They are sampled from original items so the first 30 are best for Big5, first 60 are best for BFAS and 90 for NEO. The more items scored the better. | 200 | Response | {"questionnaire": "neo.sentino.90", "items": ["I am open about my feelings.", "I crave the experience of great art.", "I often forget to put things back in their proper place.", "I have a low opinion of myself.", "I do not understand people who get emotional.", "I keep in the background.", "I seldom get lost in thought... | {"$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, "ty... | {"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": {"ty... |
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, "ty... | {"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": {"ty... |
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),... | 200 | Response | {"response_timestamp": 1613056048, "result": "success", "sentiment": "Positive", "sentiment_broad": "positive", "sentiment_number": 50, "server_reference": "web2"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"response_timestamp": {"type": "integer"}, "result": {"type": "string"}, "sentiment": {"type": "string"}, "sentiment_broad": {"type": "string"}, "sentiment_number": {"type": "integer"}, "server_reference": {"type": "string"}}, "required": ["... |
d8953a91-50a0-4e6e-85f4-d5257db70d1a/a302fa91-c473-4a21-a9c1-160ec110ae0d/0/0 | RChilli JD Parser | RChilli JD Parser is an intelligent software that extracts parameters from a Job Description. It processes job descriptions or vacancies in real-time. RChilli uses AI/ML trusted technologies to lexically parse a job description into the JSON output format. | null | JD Parser Text API | JD Parser Text API allows you to parse JD text in base64 format. | 200 | New Example | {"JDParsedData": {"FileName": "JD sample.txt", "JDLanguage": {"Language": "English", "LanguageCode": "en"}, "ParsingDate": "03/01/2022 07:30:10.875", "JobProfile": {"Title": "Software Developer", "Alias": "Computer Software Engineer, Developer, Developer Software, Developer-Software, Engineer - Software, Engineer Softw... | {"$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"]},... |
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 Softw... | {"$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"]},... |
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": 2.75309357... | {"type": "object", "properties": {"languageCodes": {"type": "array", "items": {"type": "object", "properties": {"code": {"type": "string"}, "confidence": {"type": "number"}}}}}} |
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