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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9cf069da-e6c3-46c4-badf-6a593bbe0140/bea941c8-2059-4a7d-a457-32790f18c354/1/0 | PatentEye | Advanced patent data search and topic analysis leveraging NLP | null | Get IPC | Get IPC information for a specific IPC class based on IPC code | 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... |
9cf069da-e6c3-46c4-badf-6a593bbe0140/7b0606db-d81a-40ea-98bd-76ef1b245f6c/1/0 | PatentEye | Advanced patent data search and topic analysis leveraging NLP | null | Search Organizations | Search for Organizations based on the presence of keywords in the Organization Name | 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... |
9cf069da-e6c3-46c4-badf-6a593bbe0140/a49346b7-390a-44c0-851b-07108a5feb83/0/0 | PatentEye | Advanced patent data search and topic analysis leveraging NLP | null | Semantic Search - Abstract | Use query based semantic search of claims to retrieve interesting patents. The response will contain the Patent Id and the respective Abstract for the top n_examples most relevant results. | 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... |
9cf069da-e6c3-46c4-badf-6a593bbe0140/a49346b7-390a-44c0-851b-07108a5feb83/1/0 | PatentEye | Advanced patent data search and topic analysis leveraging NLP | null | Semantic Search - Abstract | Use query based semantic search of claims to retrieve interesting patents. The response will contain the Patent Id and the respective Abstract for the top n_examples most relevant results. | 200 | Response | [{"abstract": "A hand-held pneumatic pollinator for hybrid rice seed production and a method thereof are provided. The pollinator includes a hand-held power chassis, a lifting assembly, a pneumatic pollination assembly, and a control assembly. A position of each of air blowing pipes relative to an ear of the male paren... | {"$schema": "http://json-schema.org/schema#", "type": "array", "items": {"type": "object", "properties": {"abstract": {"type": "string"}, "id": {"type": "integer"}, "similarity_score": {"type": "number"}}, "required": ["abstract", "id", "similarity_score"]}} |
9cf069da-e6c3-46c4-badf-6a593bbe0140/75f81e98-c269-4c23-9199-07baa5a3ead4/1/0 | PatentEye | Advanced patent data search and topic analysis leveraging NLP | null | Search IPC | Search for an existing IPC code based on the presence of specific keywords in the Name | 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... |
9cf069da-e6c3-46c4-badf-6a593bbe0140/2c7b98e8-a198-4171-9e3d-f45b44c8f08d/0/0 | PatentEye | Advanced patent data search and topic analysis leveraging NLP | null | Get Topics - Over time | Get the frequency of existing topics over a time window. | 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... |
9cf069da-e6c3-46c4-badf-6a593bbe0140/a9a6c4ff-a1d9-4f08-aa5f-e63e9736c422/0/0 | PatentEye | Advanced patent data search and topic analysis leveraging NLP | null | Topic Search - Keywords | Search existing topics based on the presence of keywords | 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... |
9cf069da-e6c3-46c4-badf-6a593bbe0140/1ad03e2e-76ce-45e4-965c-a46050387fdd/0/0 | PatentEye | Advanced patent data search and topic analysis leveraging NLP | null | Get Topics | Get existing topics or specific topic information based on Topic Id. The response contains a list of topics with the respective frequency and keywords. | 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... |
9cf069da-e6c3-46c4-badf-6a593bbe0140/d3ce7f7d-4cad-4e56-a1d1-a77cfee8dcab/0/0 | PatentEye | Advanced patent data search and topic analysis leveraging NLP | null | Get Topics - Subclass | Get existing topics per IPC Subclass based on Subclass Name | 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... |
9cf069da-e6c3-46c4-badf-6a593bbe0140/5e892c4e-e137-43da-bd3f-f79cd8983208/0/0 | PatentEye | Advanced patent data search and topic analysis leveraging NLP | null | Get Topics - Class | Get existing topics per IPC Class based on Class Name | 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... |
9cf069da-e6c3-46c4-badf-6a593bbe0140/017648f8-bebf-40f0-a64c-d7dc36efa68e/0/0 | PatentEye | Advanced patent data search and topic analysis leveraging NLP | null | Get Topics - Organization | Get existing topics for an Organization based on Organization Id | 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... |
9cf069da-e6c3-46c4-badf-6a593bbe0140/df472442-6e6f-47de-bcde-4ae3b3f3ac08/0/0 | PatentEye | Advanced patent data search and topic analysis leveraging NLP | null | Semantic Search - Claims | Use query based semantic search of claims to retrieve interesting patents. The response will contain the Patent Id and the respective Claims for the top n_examples most relevant results. | 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... |
9cf069da-e6c3-46c4-badf-6a593bbe0140/df472442-6e6f-47de-bcde-4ae3b3f3ac08/1/0 | PatentEye | Advanced patent data search and topic analysis leveraging NLP | null | Semantic Search - Claims | Use query based semantic search of claims to retrieve interesting patents. The response will contain the Patent Id and the respective Claims for the top n_examples most relevant results. | 200 | Response | [{"id": 48, "claims": "1. A hand-held pneumatic pollinator for hybrid rice seed production, comprising:\na hand-held power chassis;\na lifting assembly;\na pneumatic pollination assembly; and\na control assembly,\nwherein the lifting assembly and the control assembly are fixed at an upper portion of the hand-held power... | {"$schema": "http://json-schema.org/schema#", "type": "array", "items": {"type": "object", "properties": {"id": {"type": "integer"}, "claims": {"type": "string"}, "similarity_score": {"type": "number"}}, "required": ["claims", "id", "similarity_score"]}} |
9cf069da-e6c3-46c4-badf-6a593bbe0140/1892a6da-36e9-46f2-891f-a30f996dea01/0/0 | PatentEye | Advanced patent data search and topic analysis leveraging NLP | null | Get Patent Abstract | Get Abstract for a patent based on Patent Id | 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... |
9cf069da-e6c3-46c4-badf-6a593bbe0140/1892a6da-36e9-46f2-891f-a30f996dea01/1/0 | PatentEye | Advanced patent data search and topic analysis leveraging NLP | null | Get Patent Abstract | Get Abstract for a patent based on Patent Id | 200 | Response | {"abstract": "An agricultural vehicle configured for traveling in a driven-wheel-leading mode and a caster-wheel-leading mode. The agricultural vehicle includes a first driven wheel and a second driven wheel, a caster axle, a first caster wheel and a second caster wheel, and a steering system. The steering system inclu... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"abstract": {"type": "string"}, "id": {"type": "integer"}}, "required": ["abstract", "id"]} |
9cf069da-e6c3-46c4-badf-6a593bbe0140/86979cb8-5e9b-4bfc-bc40-a14d73ee3207/0/0 | PatentEye | Advanced patent data search and topic analysis leveraging NLP | null | Get Patent Claims | Get patent Claims based on Patent Id | 200 | Response | {"id": 1, "claims": "1. An agricultural vehicle configured for traveling in a driven-wheel-leading mode and a caster-wheel-leading mode, comprising:\na chassis;\na first driven wheel and a second driven wheel each being rotatably connected to the chassis;\na caster axle connected to the chassis;\na first caster wheel a... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"id": {"type": "integer"}, "claims": {"type": "string"}}, "required": ["claims", "id"]} |
9cf069da-e6c3-46c4-badf-6a593bbe0140/86979cb8-5e9b-4bfc-bc40-a14d73ee3207/1/0 | PatentEye | Advanced patent data search and topic analysis leveraging NLP | null | Get Patent Claims | Get patent Claims based on Patent Id | 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... |
9cf069da-e6c3-46c4-badf-6a593bbe0140/2acb3072-513d-49f1-9473-395985826fac/1/0 | PatentEye | Advanced patent data search and topic analysis leveraging NLP | null | Get Topics - Section | Get existing topics per IPC Section based on Section Name | 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... |
9cf069da-e6c3-46c4-badf-6a593bbe0140/0bfc8c8f-79f9-463f-bd0c-f82a636c8624/0/0 | PatentEye | Advanced patent data search and topic analysis leveraging NLP | null | Keyword Search - Abstract | Search for patents based on the presence of keywords in the Abstract. | 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... |
9cf069da-e6c3-46c4-badf-6a593bbe0140/16f4991b-297e-4fd3-838e-ef4b221a3b12/0/0 | PatentEye | Advanced patent data search and topic analysis leveraging NLP | null | Keyword Search - Title | Search for patents based on the presence of keywords in the Title. | 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... |
9cf069da-e6c3-46c4-badf-6a593bbe0140/c36e612c-044a-46da-8a55-9db8b1233d0e/0/0 | PatentEye | Advanced patent data search and topic analysis leveraging NLP | null | Get Patents | Get patent(s) information based on Patent Id or Topic Id | 200 | Response | [{"authors": null, "section_5": null, "section_classes_7": null, "section_class_subclasses_0": "A01B", "section_class_subclasses_8": null, "section_class_subclasses_15": null, "section_class_subclasses_23": null, "organizations": "cnh industrial america llc", "section_classes_0": "A01", "section_classes_8": null, "sect... | {"$schema": "http://json-schema.org/schema#", "type": "array", "items": {"type": "object", "properties": {"authors": {"type": "null"}, "section_5": {"type": "null"}, "section_classes_7": {"type": "null"}, "section_class_subclasses_0": {"type": "string"}, "section_class_subclasses_8": {"type": "null"}, "section_class_su... |
9cf069da-e6c3-46c4-badf-6a593bbe0140/c36e612c-044a-46da-8a55-9db8b1233d0e/1/0 | PatentEye | Advanced patent data search and topic analysis leveraging NLP | null | Get Patents | Get patent(s) information based on Patent Id or Topic Id | 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... |
9cf069da-e6c3-46c4-badf-6a593bbe0140/e9d418ec-85c2-457c-8e48-2fb723cd0ac5/1/0 | PatentEye | Advanced patent data search and topic analysis leveraging NLP | null | Keyword Search - Claims | Search for patents based on the presence of keywords in the Claims. | 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... |
9cf069da-e6c3-46c4-badf-6a593bbe0140/0b610a91-96cb-4872-a412-1cbccde67699/1/0 | PatentEye | Advanced patent data search and topic analysis leveraging NLP | null | Get Patents - Organization | Get existing patents for a given Organization based on Organization Id | 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... |
9cf069da-e6c3-46c4-badf-6a593bbe0140/3e9905d7-bb58-4000-8442-222007c84aa1/0/0 | PatentEye | Advanced patent data search and topic analysis leveraging NLP | null | Search Authors | Search for Authors based on the presence of keywords in the Author Name | 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... |
ee5f5da4-b261-4ac1-ae2b-ec84b0677762/6bc29997-4238-4a14-b7e5-d086a787ca21/0/0 | Extract Table - DocumentDev | Extract information from PDF Tables instantly. Using the power of Artificial Intelligence and NLP. | 1.3 | ExtractTable | This endpoint accepts a pdf file as a binary payload and returns a JSON containing all tables found within the PDF. By default only the first page is processed. If you would like to process multiple pages pass the "Pages" header to indicate how many.
Notes:
- The table should have unique keys for each row otherwise the... | 200 | Pages header example | {"tables": [{"stats": {"accuracy": 99.18, "whitespace": 4.44, "order": 1, "page": 2}, "titleEstimate": " Table 2: NNI Budget, by Agency, 2009\u20132011\n(dollars in millions)", "data": {"Agency": {"DOE**": {"2009 Actual": "332.6", "2009 Recovery*": "293.2", "2010 Estimated": "372.9", "2011 Proposed": "423.9"}, "NSF": {... | {"type": "object", "properties": {"tables": {"type": "array", "items": {"type": "object", "properties": {"stats": {"type": "object", "properties": {"accuracy": {"type": "number"}, "whitespace": {"type": "number"}, "order": {"type": "integer"}, "page": {"type": "integer"}}}, "titleEstimate": {"type": "string"}, "data": ... |
056708d6-e4e5-4c5f-9daf-72580dda8040/8e1075ce-537b-4849-b9fa-a461c93b502f/0/0 | What's Language | Detect the language of a given text | 8.3 | LanguageDetection | Detect the language of a given text and return the detected language code | 403 | Response | {"message": "You are not subscribed to this API."} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"message": {"type": "string"}}, "required": ["message"]} |
4fd06ea5-8d47-4ba1-8036-c66d7c4d692f/7d907ff9-f288-47d9-98ba-37cf64a5fbb3/1/0 | Profanity detection | Arabic Profanity Detection API - لكشف الكلمات العربية النابية API | null | analyze_analyze_text_content_post | Detect profanity in text. | 200 | Example_1 | {"code": 0, "isProfanity": true, "message": "", "status": ""} | {"properties": {"code": {"title": "Code", "type": "integer"}, "isProfanity": {"title": "Isprofanity", "type": "boolean"}, "message": {"title": "Message", "type": "string"}, "status": {"title": "Status", "type": "string"}}, "required": ["status"], "title": "ResponseModel", "type": "object"} |
4fd06ea5-8d47-4ba1-8036-c66d7c4d692f/7d907ff9-f288-47d9-98ba-37cf64a5fbb3/2/0 | Profanity detection | Arabic Profanity Detection API - لكشف الكلمات العربية النابية API | null | analyze_analyze_text_content_post | Detect profanity in text. | 422 | Example_1 | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"properties": {"detail": {"items": {"properties": {"loc": {"items": {"type": "string"}, "title": "Location", "type": "array"}, "msg": {"title": "Message", "type": "string"}, "type": {"title": "Error Type", "type": "string"}}, "required": ["loc", "msg", "type"], "title": "ValidationError", "type": "object"}, "title": "... |
fa8a956f-7229-40b5-a314-fceb15e803f3/3f0024cc-ccaa-4085-b82e-0f21c1828dc0/0/0 | CrystalFeel API | API to detect emotion, sentiment from text. | 6.5 | crystal_lace | Sarcasm Detect Score - Unravel the complexity of humor, enrich conversations, and make sense of social interactions like never before! | 200 | New Example | {"sarcasm_score": 0.2387, "status": "success"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"sarcasm_score": {"type": "number"}, "status": {"type": "string"}}, "required": ["sarcasm_score", "status"]} |
fa8a956f-7229-40b5-a314-fceb15e803f3/15c85f42-32d1-4374-9e88-1a217ac84238/0/0 | CrystalFeel API | API to detect emotion, sentiment from text. | 6.5 | crystal_feel | crystal_feel | 200 | New Example | {"intensity_scores": {"tAnger": 0.373, "tFear": 0.347, "tJoy": 0.386, "tSadness": 0.305, "tValence": 0.572}, "labels": {"tEmotion": "joy", "tEmotionScore": 4, "tSentiment": "positive", "tSentimentScore": 1}, "status": "success"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"intensity_scores": {"type": "object", "properties": {"tAnger": {"type": "number"}, "tFear": {"type": "number"}, "tJoy": {"type": "number"}, "tSadness": {"type": "number"}, "tValence": {"type": "number"}}, "required": ["tAnger", "tFear", "tJ... |
92d5e9a1-cd01-44bf-be53-d77a644e5d78/f907f2bc-9528-48f7-9d00-9482d32eb191/0/0 | Keyword Extraction | Get keywords from a text using the Text Rank algorithm. | null | Extract Keywords from Text | Get keywords from a text using the Text Rank algorithm. | 200 | Grey Matter | {"keywords": ["grey matter", "nucleus", "nuclei", "cells", "cord", "cerebellar", "neuronal cell", "contains", "neurons", "axons", "brainstem", "bodies", "thalamus", "arises", "cerebral"]} | {"type": "object", "properties": {"keywords": {"type": "array", "items": {"type": "string"}}}} |
568e0b89e4b0926c52a3bd51/568e1551e4b04efee9359e1f/0/0 | Category Recommendation | Recommend highly related categories for e-commerce and other uses. | 8.8 | Recommend (get) | Recommend highly related categories for e-commerce and other uses. | 200 | Example_1 | {"author": "twinword inc.", "categories": ["Coffee Maker Water Filters", "Coffee Decanters", "Coffee Filters", "Coffee Maker & Espresso Machine Accessories", "Coffee Filter Baskets", "Coffee Decanter Warmers", "Frothing Pitchers", "Stovetop Espresso Pot Parts", "Coffee", "Coffee Pods"], "categories_scored": {"Coffe... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"author": {"type": "string"}, "categories": {"type": "array", "items": {"type": "string"}}, "categories_scored": {"type": "object", "properties": {"Coffee": {"type": "integer"}, "Coffee Decanter Warmers": {"type": "integer"}, "Coffee Decante... |
568e0b89e4b0926c52a3bd51/227cbb4f-0c7d-47f6-9241-1f3af7470be1/0/0 | Category Recommendation | Recommend highly related categories for e-commerce and other uses. | 8.8 | Recommend (post) | Recommend highly related categories for e-commerce and other uses. | 200 | Response | {"author": "twinword inc.", "categories": ["Coffee Maker Water Filters", "Coffee Decanters", "Coffee Filters", "Coffee Filter Baskets", "Coffee Decanter Warmers", "Frothing Pitchers", "Coffee Maker & Espresso Machine Accessories", "Stovetop Espresso Pot Parts", "Coffee", "Bottled Coffee Drinks"], "categories_scored... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"author": {"type": "string"}, "categories": {"type": "array", "items": {"type": "string"}}, "categories_scored": {"type": "object", "properties": {"Bottled Coffee Drinks": {"type": "integer"}, "Coffee": {"type": "integer"}, "Coffee Decanter ... |
b3de611d-3e40-4a37-91fb-9d159a353e20/e82e2028-cf33-4fe3-886c-677fddfcd88f/0/0 | DETECT LANGUAGE By DaddyApi | Detect language of the input text | null | Detect | Detect input language. | 200 | New Example | {"language": "English"} | {"type": "object", "properties": {"language": {"type": "string"}}} |
53aa5b5de4b0a9b1348db540/53aa5b5ee4b0b60946a304a7/0/0 | Lemmatizer | "Dogs" to "dog", "abilities" to "ability". Get the root form of a word. | 8.4 | Extract (post) | Return the root of a word or roots of a string of words. | 200 | Response | {"author": "twinword inc.", "email": "help@twinword.com", "lemma": {"frog": 1, "hop": 1, "rock": 2}, "result_code": "200", "result_msg": "Success", "version": "4.0.0"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"author": {"type": "string"}, "email": {"type": "string"}, "lemma": {"type": "object", "properties": {"frog": {"type": "integer"}, "hop": {"type": "integer"}, "rock": {"type": "integer"}}, "required": ["frog", "hop", "rock"]}, "result_code":... |
53aa5b5de4b0a9b1348db540/53aa5b5de4b0b60946a304a6/0/0 | Lemmatizer | "Dogs" to "dog", "abilities" to "ability". Get the root form of a word. | 8.4 | Extract (get) | Return the root of a word or roots of a string of words. | 200 | Response | {"author": "twinword inc.", "email": "help@twinword.com", "lemma": {"frog": 1, "hop": 1, "rock": 2}, "result_code": "200", "result_msg": "Success", "version": "4.0.0"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"author": {"type": "string"}, "email": {"type": "string"}, "lemma": {"type": "object", "properties": {"frog": {"type": "integer"}, "hop": {"type": "integer"}, "rock": {"type": "integer"}}, "required": ["frog", "hop", "rock"]}, "result_code":... |
3f47dbc6-03bc-4e86-bee3-6519589c8a3d/272870b5-6909-476d-b3ea-0a7d876e7aa9/0/0 | Text Summarization | Summarize a text using the Text Rank statistical approach algorithm. | 0 | Text Summarization | Summarize a text using the Text Rank algorithm. | 200 | Grey Matter | {"summary": "Grey matter (or gray matter) is a major component of the central nervous system, consisting of neuronal cell bodies, neuropil (dendrites and unmyelinated axons), glial cells (astrocytes and oligodendrocytes), synapses, and capillaries.\nThe grey matter in the spinal cord consists of interneurons, as well a... | {"properties": {"summary": {"type": "string"}}, "type": "object"} |
98eab7d3-8c78-4c70-9cc0-b6c11b6821f3/49f58268-133a-43b0-9574-c4b67b70b3a2/0/0 | sentiments analysis | Gives positive, negative and neutral sentiments from text. | null | Get sentiments score | Output is between float/decimal value of 0-1 with values near 0.5 indicating neutral sentiments, with 0 being extremely negative and 1 being extremely positive. | 200 | Response | {"metadata": {"content_type": "json", "duration": 0.068530839}, "result": {"documents": [{"id": "1", "sentiments_score": 0.41}, {"id": "2", "sentiments_score": 0.625}]}} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"metadata": {"type": "object", "properties": {"content_type": {"type": "string"}, "duration": {"type": "number"}}, "required": ["content_type", "duration"]}, "result": {"type": "object", "properties": {"documents": {"type": "array", "items":... |
b2cca335-4350-4f62-a935-0858000d3aaa/9c1d0ef0-c94f-4b58-8e19-cdfaf6aba286/0/0 | Phone Number Analyzer | Find phone number lookup in text, get info about number, hide number in text.
Retrieve detailed insights on phone numbers information, detect numbers within text, and ensure data privacy by obscuring visible numbers. Perfect for business, data privacy, and communication applications. | 9 | Hide Phone Number In Text | Hide Phone Number In Text and replace it with selected symbols | 200 | New Example | {"result": "For Sale: Beautiful Bicycle! Color: Red Condition: Excellent Price: $200 Call now at: (602) 5******* Please use this example only for test or educational purposes and do not publish it on real advertising platforms."} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"result": {"type": "string"}}, "required": ["result"]} |
b2cca335-4350-4f62-a935-0858000d3aaa/0df98ca2-db7c-4b7b-b5d7-eb3d0d6c632d/0/0 | Phone Number Analyzer | Find phone number lookup in text, get info about number, hide number in text.
Retrieve detailed insights on phone numbers information, detect numbers within text, and ensure data privacy by obscuring visible numbers. Perfect for business, data privacy, and communication applications. | 9 | Find Phone Number In Text | Find Phone Number In Any Text with selected region | 200 | New Example | {"result": [{"carrier": "", "geocode": "United States", "timezone": ["America/Denver", "America/Phoenix"], "src": "16025551234", "countryCode": "1", "nationalNumber": "6025551234", "extension": null, "numberOfLeadingZeros": 1, "raw": null, "region": "US", "numberType": "FIXED_LINE_OR_MOBILE", "isPossibleNumber": 0, "is... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"result": {"type": "array", "items": {"type": "object", "properties": {"carrier": {"type": "string"}, "geocode": {"type": "string"}, "timezone": {"type": "array", "items": {"type": "string"}}, "src": {"type": "string"}, "countryCode": {"type... |
b2cca335-4350-4f62-a935-0858000d3aaa/d3236508-960d-4b9b-a01f-62cef88a880f/0/0 | Phone Number Analyzer | Find phone number lookup in text, get info about number, hide number in text.
Retrieve detailed insights on phone numbers information, detect numbers within text, and ensure data privacy by obscuring visible numbers. Perfect for business, data privacy, and communication applications. | 9 | Analyze Phone Number | Analyze Phone Number by phone number and region | 200 | New Example | {"result": {"carrier": "Vodafone", "geocode": "Ukraine", "timezone": ["Europe/Kyiv"], "src": "0669876543", "countryCode": "380", "nationalNumber": "669876543", "extension": null, "numberOfLeadingZeros": 1, "raw": null, "region": "UA", "numberType": "MOBILE", "isPossibleNumber": 0, "isValid": true, "formatE164": "+38066... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"result": {"type": "object", "properties": {"carrier": {"type": "string"}, "geocode": {"type": "string"}, "timezone": {"type": "array", "items": {"type": "string"}}, "src": {"type": "string"}, "countryCode": {"type": "string"}, "nationalNumb... |
7b767199-0da9-4257-ad09-639f35ed18bd/b717372c-676b-4b91-b742-bcf3e67b279f/0/0 | Detect Language | A quick and cost effective way to detect language of the text via API with GPT | 5.7 | Detect Language of Text | Just send the text to the API and it will return the language of the text. | 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"]} |
0453a068-4ab6-4347-82e0-4c085627a6d7/ca5cb435-9994-4961-9f88-b8b4c6cca18f/2/0 | Scramblr | Data Protection and PII Detection API | null | /detect/text | Detect PII (personally identifiable information) entities and their position (span) in the submitted text. The type of each entity is also given. | 200 | null | {"entities": [{"entityType": "NAME", "spanStart": 0, "spanEnd": 4}]} | {"description": "Response containing detected PII entities.", "type": "object", "properties": {"entities": {"description": "A list containing any detected PII entities.", "type": "array", "items": {"description": "A detected PII entity.", "type": "object", "properties": {"entityType": {"description": "The type of PII."... |
0453a068-4ab6-4347-82e0-4c085627a6d7/7e291cdf-498f-4001-b864-02afff1e2cae/3/0 | Scramblr | Data Protection and PII Detection API | null | /redact/text | Redact PII (personally identifiable information) entities from the submitted text. PII entities are redacted by replacing them with a random sequence of '*'. | 200 | null | {"redactedText": "******, the location for the meeting is now at ****. Or dial in using ***********."} | {"description": "Response containing text with PII entities redacted.", "type": "object", "properties": {"redactedText": {"description": "The text with all PII entities redacted (replaced with a random sequence of '*').", "type": "string"}}} |
470ec2af-4e9f-4b1b-b93b-28c715102c91/beb4010c-cd61-42a2-9327-0f7c18c7f33d/0/0 | On Page SEO Audit | The most comprehensive On-Page SEO Audit API.
Return Page Structure(title, description, images, links, headings), Structured Data(JSON-L, Open Graph, etc.), Keyphrases with relevance score, Readability Analysis, 20+ Instant SEO Audits divided into categories(errors, warnings & notices) | 6.8 | On-Page SEO Audit | On-Page SEO Audit | 200 | New Example | {"status_code": 200, "data": {"description": "Hi, I am Siddharth Verma. A start-up enthusiast with 6+ years of experience. I have worked with over 50+ SAAS companies helping them build robust scalable solutions, product and engineering problems", "domain": "sid.black", "heading_count": {"h1": 1, "h2": 5, "h3": 10, "h4"... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"status_code": {"type": "integer"}, "data": {"type": "object", "properties": {"description": {"type": "string"}, "domain": {"type": "string"}, "heading_count": {"type": "object", "properties": {"h1": {"type": "integer"}, "h2": {"type": "inte... |
0462ef15-244a-41f0-a4f8-f0f6c2285fd5/b30f5f8d-6db8-490d-b3c6-277d18b7f69a/0/0 | EmoDex Emotions Analysis | EmoDex is a emotion detection tool for texts. Differentiation with 8 emotions. | 8.5 | Emotion analysis | Emotion analysis test | 200 | Emotion rating | {"sentence": {"anger": 0.060833333333333336, "disgust": 0.045, "fear": 0.1, "joy": 0.36, "love": 0.21, "noemo": 0.07, "sadness": 0.07916666666666666, "surprise": 0.185, "text": "Cakes make me happy \ud83c\udf82"}} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"sentence": {"type": "object", "properties": {"anger": {"type": "number"}, "disgust": {"type": "number"}, "fear": {"type": "number"}, "joy": {"type": "number"}, "love": {"type": "number"}, "noemo": {"type": "number"}, "sadness": {"type": "nu... |
1f844e99-e7f5-4a10-9d38-f57b440988ef/1932d776-6f26-4b30-8b66-257a744e9702/0/0 | TextSentio API | Text Analyzer (Discover Sentiment) | null | getSentiment | Get Overall Text Sentiment | 200 | Response | {"overall_sentiment_category": "Neutral"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"overall_sentiment_category": {"type": "string"}}, "required": ["overall_sentiment_category"]} |
dd8fa000-c2db-4de4-8c53-90ba39065940/b77ef434-068f-4da6-b673-7a3b541ec136/0/0 | Sentiment Analysis | Do you want to know the sentiment/opinion in a customer feedback message, review a high volume of opiniated articles or simply integrate our API into your project to process unstructured text and know if the sentiment is positive, negative, or neutral? Then this is what you need. With the Sentiment Analysis service, yo... | 8.1 | sentiment_prediction | Infer/Predict the sentiment of a provided text (range from negative to positive). | 422 | null | {"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... |
dd8fa000-c2db-4de4-8c53-90ba39065940/b77ef434-068f-4da6-b673-7a3b541ec136/1/0 | Sentiment Analysis | Do you want to know the sentiment/opinion in a customer feedback message, review a high volume of opiniated articles or simply integrate our API into your project to process unstructured text and know if the sentiment is positive, negative, or neutral? Then this is what you need. With the Sentiment Analysis service, yo... | 8.1 | sentiment_prediction | Infer/Predict the sentiment of a provided text (range from negative to positive). | 200 | null | {"result": {}, "model_used": "", "time": ""} | {"title": "Response", "required": ["result", "model_used", "time"], "type": "object", "properties": {"result": {"title": "Result", "anyOf": [{"type": "string"}, {"type": "object", "additionalProperties": {"type": "string"}}, {"type": "object", "additionalProperties": {"type": "object"}}]}, "model_used": {"title": "Mode... |
8139a655-308e-47e6-ae6c-e92ca29f5b62/407fe7c7-e759-4caa-8425-b4ca93f49351/0/0 | Dialogflow | Simple Dialogflow API to use without JSON credentials. | 6.6 | Main | Main and unique endpoint to get the response from your Dialogflow agent. | 200 | New Example | {"dialogflow_response": {"queryResult": {"action": "input.welcome", "allRequiredParamsPresent": true, "fulfillmentMessages": [{"text": {"text": ["Welcome to the simple Dialogflow API."]}}], "fulfillmentText": "Welcome to the simple Dialogflow API.", "intent": {"displayName": "Default Welcome Intent", "name": "projects/... | {"type": "object", "properties": {"ok": {"type": "boolean"}, "message": {"type": "string"}, "dialogflow_response": {"type": "object", "properties": {"agentId": {"type": "string"}, "queryResult": {"type": "object"}}}}} |
b239527d-036d-41a6-a9d5-c4d61cde8cfb/733e92aa-55e4-4376-be27-fb8bb80f3342/0/0 | Language Identification | This app can be used to recognize 176 languages given one or more text sentences. | null | language-detection | Identifies which language is being used in the given 'text' string. | 200 | New Example | {"key1": "value", "key2": "value"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"key1": {"type": "string"}, "key2": {"type": "string"}}, "required": ["key1", "key2"]} |
b239527d-036d-41a6-a9d5-c4d61cde8cfb/5c89238f-4e5b-445a-b317-7a709dae4987/0/0 | Language Identification | This app can be used to recognize 176 languages given one or more text sentences. | null | language-detection | Identifies which language is being used in the given 'text' string. | 200 | New Example | {"language": "en", "prob": 0.998} | {"type": "object", "properties": {"language": {"type": "string"}, "prob": {"type": "number"}}} |
17022029-33c2-4dba-ace4-40cd9ee92973/3b1af49c-2ebd-4206-b60f-b6c8d08d2546/0/0 | Word Generator | Word generator is a web-based service or application programming interface (API) that allows developers to programmatically generate words or text based on certain parameters or criteria. These APIs are often used in various applications, including game development, content generation, password generation, and more. | 8.1 | Word Meaning | This API provide the meaning or definition of a given word. It can be handy in educational or language-related applications, where users want to learn the meaning of specific words. | 200 | New Example | {"body": {"word": "computer", "meaning": "A person employed to perform computations; one who computes."}, "value": 200} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"body": {"type": "object", "properties": {"word": {"type": "string"}, "meaning": {"type": "string"}}, "required": ["meaning", "word"]}, "value": {"type": "integer"}}, "required": ["body", "value"]} |
17022029-33c2-4dba-ace4-40cd9ee92973/1dc51485-cb5a-437e-b95e-ee3d23a921a9/0/0 | Word Generator | Word generator is a web-based service or application programming interface (API) that allows developers to programmatically generate words or text based on certain parameters or criteria. These APIs are often used in various applications, including game development, content generation, password generation, and more. | 8.1 | Random Word | This API generates a single random word without any specific criteria. It can be useful in applications like word games, creative writing prompts, or any scenario where you need a random word. | 200 | New Example | {"key1": "value", "key2": "value"} | {"type": "object", "properties": {"key1": {"type": "string"}, "key2": {"type": "string"}}} |
53aa507fe4b0596140340649/53aa5080e4b0b60946a2f5bf/0/0 | Text Classification | Classify unstructured data such as articles or text into predefined categories. | 8.1 | Classify (post) | Classify text into product categories or contact us to customize and use your own category sets. Enter some text to find its related product categories: | 200 | Response | {"keywords": ["chair", "comfort", "protect", "feature", "hot", "level", "cool", "flow", "air", "hour"], "categories": ["Office Chairs", "Chairs", "Arm Chairs", "Dental Chairs", "Examination Chairs", "Massage Chairs", "Optometry Chairs", "Sleeper Chairs", "Kneeling Chairs", "Rocking Chairs"], "keywords_scored": {"chair"... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"keywords": {"type": "array", "items": {"type": "string"}}, "categories": {"type": "array", "items": {"type": "string"}}, "keywords_scored": {"type": "object", "properties": {"chair": {"type": "integer"}, "comfort": {"type": "integer"}, "pro... |
53aa507fe4b0596140340649/53aa5080e4b07e1f4ebeb402/0/0 | Text Classification | Classify unstructured data such as articles or text into predefined categories. | 8.1 | Classify (get) | Classify text into product categories or contact us to customize and use your own category sets. Enter some text to find its related product categories: | 200 | Response | {"author": "twinword inc.", "categories": ["Kneeling Chairs", "Bean Bag Chairs", "Arm Chairs", "Slipper Chairs", "Rocking Chairs", "Office Chairs", "Gaming Chairs", "Arm Chairs, Recliners & Sleeper Chairs", "Sleeper Chairs", "Folding Chairs & Stools"], "categories_scored": {"Arm Chairs": 1, "Arm Chairs, Recline... | {"properties": {"author": {"type": "string"}, "categories": {"items": {"type": "string"}, "type": "array"}, "categories_scored": {"properties": {"Arm Chairs": {"type": "number"}, "Arm Chairs, Recliners & Sleeper Chairs": {"type": "number"}, "Bean Bag Chairs": {"type": "number"}, "Chairs": {"type": "number"}, "Foldi... |
6641d33d-b261-4b3c-9f1e-4f7ce4e21529/d1903cb9-aaea-4905-b271-2f96746ed037/0/0 | TextAnalysisAPI | Natural Language API provides natural language understanding technologies to developers, including sentiment analysis, entity analysis, entity sentiment analysis, content classification, and syntax analysis. | null | Language Detection | Detects one or many languages a document is written in and returns it in ISO 639-1 format, from among 62 different languages. | 200 | Response | [{"code": "fr ", "confidence": 98, "name": "French ", "read bytes": 968}, {"code": "un ", "confidence": 0, "name": "un ", "read bytes": 0}, {"code": "un ", "confidence": 0, "name": "un ", "read bytes": 0}] | {"$schema": "http://json-schema.org/schema#", "type": "array", "items": {"type": "object", "properties": {"code": {"type": "string"}, "confidence": {"type": "integer"}, "name": {"type": "string"}, "read bytes": {"type": "integer"}}, "required": ["code", "confidence", "name", "read bytes"]}} |
6641d33d-b261-4b3c-9f1e-4f7ce4e21529/94f13d7e-7e37-4a42-a1ce-e27486f3c1d0/0/0 | TextAnalysisAPI | Natural Language API provides natural language understanding technologies to developers, including sentiment analysis, entity analysis, entity sentiment analysis, content classification, and syntax analysis. | null | Entity | Entity Extraction or Named Entity Recognition (NER) classifies tokens in text into up to 18 predefined categories (tags), such as person names, quantity expressions, percentage expressions, location names, organization names, time expressions, and currency. It also features a multilingual model that is available in 104... | 200 | Response | {"NER_OUT_TAGS_ONLY": {"B-CARDINAL": [], "B-DATE": [], "B-EVENT": [], "B-FAC": [], "B-GPE": ["Montreal"], "B-LANGUAGE": [], "B-LAW": [], "B-LOC": [], "B-MONEY": [], "B-NORP": [], "B-ORDINAL": [], "B-ORG": [], "B-PERCENT": [], "B-PERSON": [], "B-PRODUCT": [], "B-QUANTITY": [], "B-TIME": [], "B-WORK_OF_ART": []}, "NER_OU... | {"type": "object", "properties": {"NER_OUT_TAGS_ONLY": {"type": "object", "properties": {"B-CARDINAL": {"type": "array"}, "B-DATE": {"type": "array"}, "B-EVENT": {"type": "array"}, "B-FAC": {"type": "array"}, "B-GPE": {"type": "array", "items": {"type": "string"}}, "B-LANGUAGE": {"type": "array"}, "B-LAW": {"type": "ar... |
b39157f8-f71f-474a-850d-3b20fda2235e/8b2c6a0a-c3d2-4bd1-9f73-ffe4a8bb82bc/0/0 | Named-entity recognition | Named-entity recognition (NER) (also known as (named) entity identification, entity chunking, and entity extraction) is a subtask of information extraction that seeks to locate and classify named entities mentioned in unstructured text into pre-defined categories such as person names, organizations, locations, medical ... | null | ner | Named-entity recognition | 200 | Response | {"author": "codewalker7", "email": "codewalker7@pm.me", "ner": [{"end": 3, "label": "PERSON", "start": 0, "text": "Jim"}, {"end": 14, "label": "CARDINAL", "start": 11, "text": "300"}, {"end": 35, "label": "ORG", "start": 25, "text": "Acme Corp."}, {"end": 43, "label": "DATE", "start": 39, "text": "2006"}]} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"author": {"type": "string"}, "email": {"type": "string"}, "ner": {"type": "array", "items": {"type": "object", "properties": {"end": {"type": "integer"}, "label": {"type": "string"}, "start": {"type": "integer"}, "text": {"type": "string"}}... |
3330594b-98af-4b42-830f-c73bd9b746e5/b3ffd7fe-b980-44b9-bf7a-3e0dcc3c5b0a/0/0 | Arabic Sentiment Analyse | Arabic Sentiment Analyse for hotel reviews | null | positive prediction | It will return if the review is a positive tone | 200 | New Example | {"key1": "value", "key2": "value"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"key1": {"type": "string"}, "key2": {"type": "string"}}, "required": ["key1", "key2"]} |
3330594b-98af-4b42-830f-c73bd9b746e5/1c605a95-951f-4ce2-81cf-45e498f6d4cf/0/0 | Arabic Sentiment Analyse | Arabic Sentiment Analyse for hotel reviews | null | negative prediction | will return a negative sentiment analysis if the review is negative. | 200 | New Example | {"prediction": "negative"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"prediction": {"type": "string"}}, "required": ["prediction"]} |
617331d0-0acd-43d5-bb42-455653d82e90/66d979ac-f44a-4f2b-af83-bfc6927847ef/0/0 | Sentimental Analysis | Analyse whether the text is positive or negative and provide a confidence level of prediction | null | Predict | Analyse whether the text is positive or negative and provide a confidence level of prediction | 200 | Response | {"isPositive": true, "confidence": 0.9845482} | {"type": "object", "properties": {"isPositive": {"type": "boolean"}, "confidence": {"type": "number"}}} |
c6ddd616-ee8e-4f7e-9b09-1de5fda21c9d/08d44d0c-5824-4124-b084-5ec5f31446b6/0/0 | Address Compare | API to compare or match two addresses | null | Address Compare Api | API to compare or match two addresses. This API is useful for KYC or Risk Assessment Purpose
This is a basic endpoint with latencies.
For premium plans, reach out https://akgnitd.github.io/ | 200 | Response | {"address_scape_score": 0.77, "address2": "No 16A/23A Kalkku nagar 2nd street Chennai TN 600106 ", "address1": "NO 16A /24A 2ND STREET KALKKI NAGAR ARUMBAKKAM NEAR APPASAMY HOSPITAL Arumbakkam Arumbakkam Chennai Tamil Nadu 600106", "pinCode": "600106"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"address_scape_score": {"type": "number"}, "address2": {"type": "string"}, "address1": {"type": "string"}, "pinCode": {"type": "string"}}, "required": ["address1", "address2", "address_scape_score", "pinCode"]} |
005ab9c7-b271-45e5-a9ba-f938cc5a04c9/646f3287-5f9e-4bd2-9da3-60e713f18af1/0/0 | Siphon AI | SiphonAI Search Result API
Use SiphonAI's Search Result API to get Google search results in milliseconds. Use these to build many types of software that require search results, such as marketing or SEO software. | 7.1 | Search | Search and Get Results from Major Search Engines | 200 | Response | {"urls": ["https://money.usnews.com/investing/stock-market-news/slideshows/top-ev-stocks-and-battery-companies", "https://www.fool.com/investing/stock-market/market-sectors/consumer-discretionary/automotive-stocks/electric-car-stocks/", "https://medium.com/fact-of-the-day-1/october-29-largest-electric-vehicle-manufactu... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"urls": {"type": "array", "items": {"type": "string"}}}, "required": ["urls"]} |
f7046b03-9aa9-4364-b12d-74f30db4be6d/97e59f4f-b8ef-4ae9-b1bd-230bdda3ba3b/1/0 | FCA Handbook Extraction | Extract references found in the Financial Conduct Authority Handbook. | null | Extract | Will find references to FCA Handbook items, their position within the text and a link to the item in the handbook. | 200 | Example | [{"reference": "PRIN 1.1.1", "url": "https://www.handbook.fca.org.uk/handbook/PRIN/1/1.html", "start": 158, "end": 169}, {"reference": "PRIN 1.2", "url": "https://www.handbook.fca.org.uk/handbook/PRIN/1/2 .html", "start": 172, "end": 181}] | {"$schema": "http://json-schema.org/schema#", "type": "array", "items": {"type": "object", "properties": {"reference": {"type": "string"}, "url": {"type": "string"}, "start": {"type": "integer"}, "end": {"type": "integer"}}, "required": ["end", "reference", "start", "url"]}} |
d0b4a3a8-2c10-4c53-ab2b-4bd854cf7949/29c3a169-1f51-4931-aa21-e2f66e60ba66/0/0 | Rewriter Paraphraser | Advanced rewriter and paraphraser that gives you high manipulation capabilities. | 0.2 | Rewrite/Paraphrase | Endpoint used for rewriting text. | 200 | Response | {"language": "EN", "paraphrases": [{"original": "These memories came flooding back as I read Natasha Bernal\u2019s piece in Wired UK, exploring the world of biobanking animal cells.", "paraphrases": ["These memories came flooding back as I read a piece about the world of biobanking animal cells.", "The memories came fl... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"language": {"type": "string"}, "paraphrases": {"type": "array", "items": {"type": "object", "properties": {"original": {"type": "string"}, "paraphrases": {"type": "array", "items": {"type": "string"}}}, "required": ["original", "paraphrases... |
c9beb7ba-e0ed-421a-87b6-b529e80be24a/65bf48ff-a9e3-4a12-a5c5-ff1b969ee99f/0/0 | Emotion Classification | Understanding the emotional content of text can provide valuable insights about users or the content, especially in areas such as customer feedback, reviews, customer support, and product branding. | null | emotion | Emotion Classification | 200 | Response | {"author": "codewalker7", "email": "codewalker7@pm.me", "emotion": [{"joy": "0.74932"}, {"optimism": "0.20931"}, {"sadness": "0.02446"}, {"anger": "0.0169"}]} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"author": {"type": "string"}, "email": {"type": "string"}, "emotion": {"type": "array", "items": {"type": "object", "properties": {"joy": {"type": "string"}, "optimism": {"type": "string"}, "sadness": {"type": "string"}, "anger": {"type": "s... |
5afd80a5-8e9e-4ef0-8f6d-5f3cbe1f881c/70aebe05-97d4-4330-8e5f-ad54b68b5594/0/0 | Walnut Entity | Extract structure from text data (who, what, where..) automatically using AI. | 5 | wrt_transformer | Get the text input and returns the entities identified. | 200 | Response | {"result": [{"entity": "who", "word": "Richard"}, {"entity": "where", "word": "New York"}, {"entity": "org", "word": "Microsoft"}]} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"result": {"type": "array", "items": {"type": "object", "properties": {"entity": {"type": "string"}, "word": {"type": "string"}}, "required": ["entity", "word"]}}}, "required": ["result"]} |
406ccc8f-ef44-4c71-ac06-592a88b7d971/d3077efc-bd89-40f8-9b30-edb42f25b266/0/0 | Password Checker | Check how strong your password is and if it is already disclosed. Generate your strong password | null | evaluate | Evaluate how strong your password is. You will get a score that us between 0-4, higher is the score higher is the complexity of you password. You will also get an indication on how much time it will take to hack your password. | 200 | Response | {"readableTime": "4 years", "score": 4, "timeToGuessInSeconds": 137091502} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"readableTime": {"type": "string"}, "score": {"type": "integer"}, "timeToGuessInSeconds": {"type": "integer"}}, "required": ["readableTime", "score", "timeToGuessInSeconds"]} |
d0caa8d4-9fc9-4256-8b95-7eeb15c38ec3/c24a266a-2795-401f-a4f9-f3cd73719eb6/0/0 | Morphology | In linguistics, morphology is the study of words, how they are formed, and their relationship to other words in the same language. | null | morph | Morphology analysis | 200 | Response | {"author": "codewalker7", "email": "codewalker7@pm.me", "morphology": [{"morph": {"Number": "Sing"}, "text": "Morphology"}, {"morph": {"Mood": "Ind", "Number": "Sing", "Person": "3", "Tense": "Pres", "VerbForm": "Fin"}, "text": "is"}, {"morph": {"Definite": "Def", "PronType": "Art"}, "text": "the"}, {"morph": {"Number"... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"author": {"type": "string"}, "email": {"type": "string"}, "morphology": {"type": "array", "items": {"type": "object", "properties": {"morph": {"type": "object", "properties": {"Number": {"type": "string"}, "Mood": {"type": "string"}, "Perso... |
c257390e-65f2-4ffa-8609-c88c23e118a4/d7d10270-e4e3-40eb-8ff9-41de13cb5649/0/0 | API-Google-Translate | Best easy to use Google Translate API, you can translate to any language, no need for Google api key. | null | Translate | Translate text to any language you choose. | 200 | Response | {"confidence": 0.7553219, "from_language": "en", "sentences": [{"original": "Hello World!", "translated": "Bonjour le monde!"}], "to_language": "fr"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"confidence": {"type": "number"}, "from_language": {"type": "string"}, "sentences": {"type": "array", "items": {"type": "object", "properties": {"original": {"type": "string"}, "translated": {"type": "string"}}, "required": ["original", "tra... |
0d3cd1ce-ab0d-41a9-b1aa-df0f9b74f8f5/31c4b92c-117f-4afb-9405-0f7993b09dda/0/0 | Link Safe API | Interact with Link safe's API. | null | Comparisons | Compare two piece of texts. | 200 | New Example | {"item": 75} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"item": {"type": "integer"}}, "required": ["item"]} |
0d3cd1ce-ab0d-41a9-b1aa-df0f9b74f8f5/9491edec-ac3f-4b46-86b7-d6971a042e1c/0/0 | Link Safe API | Interact with Link safe's API. | null | Solve Text | Solve & send the text to a worker to solve it. The text may be a question, math problem, or anything else. | 200 | New Example | {"hits": 2, "results": ["Madrid"], "results_url": "https://linksafe.repl.co/.../{results_url}", "state": 1} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"hits": {"type": "integer"}, "results": {"type": "array", "items": {"type": "string"}}, "results_url": {"type": "string"}, "state": {"type": "integer"}}, "required": ["hits", "results", "results_url", "state"]} |
f5fe8faf-48c3-4692-bc30-dd6036c9f367/3b17913f-1373-4c83-bac3-342ab196f16d/0/0 | SentimentAnalyzer | Score the sentiment of submitted text using the Stanford CoreNLP model. | null | sentiment | Submit a short document (< 5 sentences) and receive its sentiment information as scored by the Stanford CoreNLP model. The endpoint will score the document overall and also return information about the sentiment of each contained sentence. | 200 | Example | {"sentenceSentiments": [{"sentence": "I recently purchased the XYZ blender and I'm absolutely thrilled with its performance.", "sentiment": "Positive", "sentimentScore": 1}, {"sentence": "It blends ingredients smoothly and effortlessly, making my morning smoothies a delightful experience every day.", "sentiment": "Posi... | {"type": "object", "properties": {"sentenceSentiments": {"type": "array", "items": {"type": "object", "properties": {"sentence": {"type": "string"}, "sentiment": {"type": "string"}, "sentimentScore": {"type": "integer"}}}}, "documentSentimentScore": {"type": "integer"}, "documentSentiment": {"type": "string"}}} |
54fd3cbde4b0a35b2ca094e3/54fd3d1de4b0d007dd924cd2/0/0 | Word Associations | What's another word for this word, phrase, or paragraph? More than just synonyms, related words too! | 9.6 | Word Associations (get) | Get word associations with semantic distance score. | 200 | Response | {"entry": "sound", "request": "sound", "response": {"sound": 1}, "associations": "ringing, octave, acoustic, noisy, din, growl, noise, bell, cacophonous, voice, sonority, tune, loud, moan, clamorous, ring, echo, phonetic, strident, reverberate, sing, vibrancy, beep, carillon, resonance, toot, rustle, telephony, reverbe... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"entry": {"type": "string"}, "request": {"type": "string"}, "response": {"type": "object", "properties": {"sound": {"type": "integer"}}, "required": ["sound"]}, "associations": {"type": "string"}, "associations_array": {"type": "array", "ite... |
54fd3cbde4b0a35b2ca094e3/54fd3d5be4b0490e33d0f711/0/0 | Word Associations | What's another word for this word, phrase, or paragraph? More than just synonyms, related words too! | 9.6 | Word Associations (post) | Get word associations with semantic distance score. | 200 | Response | {"entry": "sound", "request": "sound", "response": {"sound": 1}, "associations": "ringing, octave, acoustic, noisy, din, growl, noise, bell, cacophonous, voice, sonority, tune, loud, moan, clamorous, ring, echo, phonetic, strident, reverberate, sing, vibrancy, beep, carillon, resonance, toot, rustle, telephony, reverbe... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"entry": {"type": "string"}, "request": {"type": "string"}, "response": {"type": "object", "properties": {"sound": {"type": "integer"}}, "required": ["sound"]}, "associations": {"type": "string"}, "associations_array": {"type": "array", "ite... |
b34fcb84-2a49-43b1-9982-67b2d72f74f1/1a8f8b85-5e06-4064-a555-8261d2206b60/0/0 | AI Chatbot | An AI Chatbot for your aplication. | 9.3 | Chat | The chatbot endpoint. | 200 | Response | {"chatbot": {"message": "What's your name?", "response": "You can call me Eva. What is your name?"}} | {"properties": {"chatbot": {"properties": {"message": {"type": "string"}, "response": {"type": "string"}}, "type": "object"}}, "type": "object"} |
576da662e4b0bd97e2279a31/9e7d8da0-926b-4858-8141-1901bf732f0e/0/0 | TextGears | AI-empowered spelling and grammar checker with automatic correction. Text summarization and keyword extraction. Language detection. Readability calculator. | 9.7 | Automatic correction | AI-empowered error correction tool | 200 | Sample response | {"response": {"corrected ": "My mother is a doctor, but my father is an engineer."}, "status": false} | {"properties": {"response": {"properties": {"corrected": {"type": "string"}}, "type": "object"}, "status": {"type": "boolean"}}, "type": "object"} |
576da662e4b0bd97e2279a31/576da6a3e4b0a1d871a274e9/0/0 | TextGears | AI-empowered spelling and grammar checker with automatic correction. Text summarization and keyword extraction. Language detection. Readability calculator. | 9.7 | Grammar check | The method allows you to check the text for grammatical, spelling, punctuation and stylistic errors. Supported languages: English, French, German, Portuguese, Italian, Spanish, Japanese, Chinese, Greek.
Provides error description and fix suggestions. | 200 | Sample response | {"response": {"errors": [{"bad": "is", "better": ["am"], "description": {"en": "Did you mean \"am\"?"}, "id": "e1538460279", "length": 2, "offset": 2, "type": "grammar"}, {"bad": "engeneer", "better": ["engineer", "engender"], "description": {"en": "Possible spelling mistake found"}, "id": "e409777493", "length": 8, "o... | {"properties": {"response": {"type": "object"}, "status ": {"type": "boolean"}}, "type": "object"} |
576da662e4b0bd97e2279a31/993b131f-85d2-4ba6-945a-a9cc699e797e/0/0 | TextGears | AI-empowered spelling and grammar checker with automatic correction. Text summarization and keyword extraction. Language detection. Readability calculator. | 9.7 | Delete dictionary | Delete custom dictionary. id can be a number, a string or even null. Default dictionary has id === null | 200 | Response | {"status": true, "response": []} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"status": {"type": "boolean"}, "response": {"type": "array"}}, "required": ["response", "status"]} |
576da662e4b0bd97e2279a31/20bb95c6-309f-4153-9ec0-467bab08055c/0/0 | TextGears | AI-empowered spelling and grammar checker with automatic correction. Text summarization and keyword extraction. Language detection. Readability calculator. | 9.7 | List exceptions of dictionary | List exceptions of dictionary | 200 | Response | {"status": true, "response": {"exceptions": [{"id": 7607, "text": "aaa", "type": 1, "lang": "en", "creation_time": "2023-09-10T19:50:17+00:00", "update_time": null, "description": null, "suggestions": [], "meta": {"cased": false}}]}} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"status": {"type": "boolean"}, "response": {"type": "object", "properties": {"exceptions": {"type": "array", "items": {"type": "object", "properties": {"id": {"type": "integer"}, "text": {"type": "string"}, "type": {"type": "integer"}, "lang... |
576da662e4b0bd97e2279a31/e88d1409-fdec-4207-8a62-161fc9cef249/0/0 | TextGears | AI-empowered spelling and grammar checker with automatic correction. Text summarization and keyword extraction. Language detection. Readability calculator. | 9.7 | Create exception | Create. custom exception | 200 | New Example | {"status": true, "response": {"id": 7607, "text": "aaa", "type": 1, "lang": "en", "creation_time": "2023-09-10T19:50:17+00:00", "update_time": null, "description": null, "suggestions": [], "meta": {"cased": false}}} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"status": {"type": "boolean"}, "response": {"type": "object", "properties": {"id": {"type": "integer"}, "text": {"type": "string"}, "type": {"type": "integer"}, "lang": {"type": "string"}, "creation_time": {"type": "string"}, "update_time": ... |
576da662e4b0bd97e2279a31/ccb0d074-9634-4c59-a6c7-0d947d8741dc/0/0 | TextGears | AI-empowered spelling and grammar checker with automatic correction. Text summarization and keyword extraction. Language detection. Readability calculator. | 9.7 | List created dictionaries | List all active dictionaries | 200 | Response | {"status": true, "response": {"dictionaries": [{"title": "New title", "exceptions_count": 0, "creation_time": "2023-09-06T21:58:22+00:00", "update_time": "2023-09-06T21:59:49+00:00", "id": null}]}} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"status": {"type": "boolean"}, "response": {"type": "object", "properties": {"dictionaries": {"type": "array", "items": {"type": "object", "properties": {"title": {"type": "string"}, "exceptions_count": {"type": "integer"}, "creation_time": ... |
576da662e4b0bd97e2279a31/9dbced2f-5417-4cc0-9e27-c9f7ae5bedfb/0/0 | TextGears | AI-empowered spelling and grammar checker with automatic correction. Text summarization and keyword extraction. Language detection. Readability calculator. | 9.7 | Edit dictionary | Edit dictionary params. id can be a number, a string or even null. Default dictionary has id === null | 200 | Response | {"status": true, "response": {"title": "New title", "exceptions_count": 0, "creation_time": "2023-09-06T21:58:22+00:00", "update_time": "2023-09-06T21:59:49+00:00", "id": null}} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"status": {"type": "boolean"}, "response": {"type": "object", "properties": {"title": {"type": "string"}, "exceptions_count": {"type": "integer"}, "creation_time": {"type": "string"}, "update_time": {"type": "string"}, "id": {"type": "null"}... |
576da662e4b0bd97e2279a31/0537ae95-5203-43e8-9778-5af1f47d524e/0/0 | TextGears | AI-empowered spelling and grammar checker with automatic correction. Text summarization and keyword extraction. Language detection. Readability calculator. | 9.7 | Language detection | Determination of the language of the text and the assumption of its dialect. The method returns an array of probable options for each language. If it is not possible to unambiguously identify the language, the language field returns null. | 200 | Sample response | {"response": {"dialect": null, "language": "en", "probabilities": {"de": 0.84, "el": 0.211, "en": 0.931, "es": 0.82, "fr": 0.84, "it": 0.844, "jp": 0.067, "pt": 0.808, "ru": 0.148, "zh": 0.651}}, "status": true} | {"properties": {"response": {"type": "object"}, "status ": {"type": "boolean"}}, "type": "object"} |
576da662e4b0bd97e2279a31/8c2a22be-2071-4784-b50c-4c60d5499051/0/0 | TextGears | AI-empowered spelling and grammar checker with automatic correction. Text summarization and keyword extraction. Language detection. Readability calculator. | 9.7 | Readability | Calculates readability and other text metrics.
Important!
When determining text metrics, accuracy is directly related to the size of the text. Determining the readability or other parameters of the text for a two-word sentence is meaningless. It is recommended to check texts that has at least 30 words. The more the bet... | 200 | Sample response | {"response": {"stats": {"SMOG": 12, "colemanLiau": 12, "counters": {"clearLength": 936, "length": 1128, "sentences": 10, "words": 187}, "emotion": {"negative": 0.21, "positive": 0.79}, "fleschKincaid": {"grade": "10th to 12th grade", "interpretation": "Fairly difficult to read", "readingEase": 53.4}, "gunningFog": 12.2... | {"properties": {"response": {"type": "object"}, "status ": {"type": "boolean"}}, "type": "object"} |
576da662e4b0bd97e2279a31/fd2f8c1e-64ed-44da-bbec-926478f4f354/0/0 | TextGears | AI-empowered spelling and grammar checker with automatic correction. Text summarization and keyword extraction. Language detection. Readability calculator. | 9.7 | Spell checker | Checks the text for typos in English, French, German, Portuguese, Italian, Spanish, Japanese, Chinese, Greek | 200 | Sample response | {"response": {"errors": [{"bad": "engeneer", "better": ["engineer", "engender"], "description": {"en": "Possible spelling mistake found"}, "id": "e409777493", "length": 8, "offset": 8, "type": "spelling"}]}, "status": true} | {"properties": {"response": {"properties": {"errors": {"items": {"properties": {"bad": {"type": "string"}, "better": {"items": {"type": "string"}, "type": "array"}, "description": {"properties": {"en": {"type": "string"}}, "type": "object"}, "id": {"type": "string"}, "length": {"type": "integer"}, "offset": {"type": "i... |
576da662e4b0bd97e2279a31/680d4bf1-2149-4f26-8559-0c4d09dda70b/0/0 | TextGears | AI-empowered spelling and grammar checker with automatic correction. Text summarization and keyword extraction. Language detection. Readability calculator. | 9.7 | Summarization and keywords extraction | Automatic text summarization and keywords extraction. API returns a summary and a highlight. What's the difference?
Summary contains the most important sentences of text. Summary describes a text content the best way.
Highlight is the most important paragraph starting with the most important sentence.
Keywords arra... | 200 | Sample response | {"response": {"highlight": ["The two main factors of readability are the printing and linguistic features of the text.", "In other words, pages containing simple and clear text get higher positions in the search results."], "keywords": ["text", "readability", "english", "printing", "fewer", "words", "terms", "higher", ... | {"properties": {"response": {"type": "object"}, "status ": {"type": "boolean"}}, "type": "object"} |
1ecdfcef-0d45-4efe-96e8-7101683ad22b/8465d8ec-542b-4ba1-9fb8-6c9283ea1534/0/0 | Language Detection | Fast and reliable language detection API. Detects up to 183 languages. | null | Language Detection | Takes a text and detects language and ISO code of it. | 200 | Detect English | {"language": "English", "isocode": "eng"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"language": {"type": "string"}, "isocode": {"type": "string"}}, "required": ["isocode", "language"]} |
1ecdfcef-0d45-4efe-96e8-7101683ad22b/8465d8ec-542b-4ba1-9fb8-6c9283ea1534/0/1 | Language Detection | Fast and reliable language detection API. Detects up to 183 languages. | null | Language Detection | Takes a text and detects language and ISO code of it. | 200 | Detect German | {"language": "German", "isocode": "deu"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"language": {"type": "string"}, "isocode": {"type": "string"}}, "required": ["isocode", "language"]} |
1ecdfcef-0d45-4efe-96e8-7101683ad22b/8465d8ec-542b-4ba1-9fb8-6c9283ea1534/0/2 | Language Detection | Fast and reliable language detection API. Detects up to 183 languages. | null | Language Detection | Takes a text and detects language and ISO code of it. | 200 | Detect French | {"language": "French", "isocode": "fra"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"language": {"type": "string"}, "isocode": {"type": "string"}}, "required": ["isocode", "language"]} |
42a3a286-fec1-48f1-9d1b-93b8ec2f1a0a/810b5ba4-4fad-4bdb-ba06-29b68020dc1b/0/0 | NSFW Text Detection | The Explicit Content Detection API is a powerful tool designed to analyze text and identify potentially Not Safe For Work (NSFW) content. With state-of-the-art natural language processing algorithms, this API scans text inputs to determine the presence of explicit or inappropriate language, ensuring a safer and more us... | 5.3 | NSFW | Check if the text is NSW friendly | 200 | Response | {"sexual": false, "sexual_score": 0.0010027182288467884} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"sexual": {"type": "boolean"}, "sexual_score": {"type": "number"}}, "required": ["sexual", "sexual_score"]} |
71ef022c-6320-4104-8e95-03dc8c5cc6e5/57555716-2dfb-40d7-9c94-972bdb29a9c6/0/0 | HTML To Text Simplifier | Convert HTML content into simplified and plain text format. With this API, you can easily integrate HTML to text conversion capabilities into your applications, platforms, or services, enabling you to extract the essential textual information from HTML documents or webpages. | null | Simplify HTML | Simplify HTML that you post as a request | 200 | Success | {"status": "ok", "error": null, "data": {"text": "Analog recording is a category of techniques used for the recording of analog signals. This enables later playback of the recorded analog audio.\\r\\n\n\nAnalog audio recording began with mechanical systems such as the phonautograph and phonograph.[1] Later, electronic ... | {"type": "object", "properties": {"status": {"type": "string"}, "error": {"type": "null"}, "data": {"type": "object", "properties": {"text": {"type": "string"}, "language": {"type": "null"}, "parsed": {"type": "boolean"}}}}} |
58dc8d13e4b0e1be96d356a2/58dc9652e4b084085c35c609/0/0 | Text Similarity | Evaluate the similarity of two words, sentences, or paragraphs | 9.5 | Text Similarity (get) | Evaluate the similarity of two words, sentences, or paragraphs. | 200 | Response | {"author": "twinword inc.", "email": "help@twinword.com", "result_code": "200", "result_msg": "Success", "similarity": 0.86882813106215, "value": 2463079.7207981, "version": "4.0.0"} | {"properties": {"author": {"type": "string"}, "email": {"format": "email", "type": "string"}, "result_code": {"format": "color", "type": "string"}, "result_msg": {"type": "string"}, "similarity": {"type": "number"}, "value": {"type": "number"}, "version": {"type": "string"}}, "type": "object"} |
58dc8d13e4b0e1be96d356a2/58dc97e9e4b0e1be96d356b8/0/0 | Text Similarity | Evaluate the similarity of two words, sentences, or paragraphs | 9.5 | Text Similarity (post) | Evaluate the similarity of two words, sentences, or paragraphs. | 200 | Response | {"author": "twinword inc.", "email": "help@twinword.com", "result_code": "200", "result_msg": "Success", "similarity": 0.86882813106215, "value": 2463079.7207981, "version": "4.0.0"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"author": {"type": "string"}, "email": {"type": "string"}, "result_code": {"type": "string"}, "result_msg": {"type": "string"}, "similarity": {"type": "number"}, "value": {"type": "number"}, "version": {"type": "string"}}, "required": ["auth... |
68713f03-d53d-478e-9fea-9f4a63e977cb/95cd4a65-f560-4aaa-87c4-80382254fb85/0/0 | Palindrome Tester | Determine whether or not a string is a palindrome. | null | Test Palindrome | The API will respond with a JSON containing two keys: success, and response.
Success will always return a boolean. If there were errors, success will be false, and response will contain an error message string. If there weren't any errors, success will be true, and response will return a boolean: true if the string is ... | 200 | Response | {"success": true, "response": true} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"success": {"type": "boolean"}, "response": {"type": "boolean"}}, "required": ["response", "success"]} |
68713f03-d53d-478e-9fea-9f4a63e977cb/95cd4a65-f560-4aaa-87c4-80382254fb85/1/0 | Palindrome Tester | Determine whether or not a string is a palindrome. | null | Test Palindrome | The API will respond with a JSON containing two keys: success, and response.
Success will always return a boolean. If there were errors, success will be false, and response will contain an error message string. If there weren't any errors, success will be true, and response will return a boolean: true if the string is ... | 400 | Blank request | {"success": false, "response": "ERROR: No palindrome supplied."} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"success": {"type": "boolean"}, "response": {"type": "string"}}, "required": ["response", "success"]} |
a6098ac9-65b1-48ad-b79d-e12af2981924/35890018-4c34-4315-876b-b5fb58f2d303/0/0 | Rewrite Blog Article | helps you to rewrite your article / blog so that it is more effective and interesting. | 5.7 | /rewriteBlogSection | rewrite title a part of a blog section | 200 | Example_1 | {"status": true, "title": "Are cats unfriendly?", "data": "Dogs are very expressive creatures, and it is easy to read their emotions just by looking at their body language. Cats also have sophisticated body language, which they use to communicate their moods. A purr usually signals friendliness or contentment, but it i... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"status": {"type": "boolean"}, "title": {"type": "string"}, "data": {"type": "string"}}, "required": ["data", "status", "title"]} |
48c6c169-43cc-44d5-a459-e7c23721cfa8/bba42106-8289-4824-b999-c34797b152c4/0/0 | Sentiment Analysis in Stock Market | As financial markets getting faster and more complex, it is difficult for market participants to manage the information overload. Sentiment analysis is a useful text mining method to process textual content and filter the results with analysis methods to relevant and meaningful information. | null | fsentiment | Sentiment Analysis in Stock Market | 200 | Response | {"author": "codewalker7", "email": "codewalker7@pm.me", "score": "0.85549", "type": "positive"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"author": {"type": "string"}, "email": {"type": "string"}, "score": {"type": "string"}, "type": {"type": "string"}}, "required": ["author", "email", "score", "type"]} |
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