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 |
|---|---|---|---|---|---|---|---|---|---|
f7a8fe41-af32-4441-b399-80de9b7a6fd1/42e8e6d2-70a9-4062-bd5a-4699d5182c9c/0/0 | Remoote Job Search | Remoote Job Search | null | list_countries_countries_get | 401 | null | {"code": 0, "message": "Unauthorized!"} | {"properties": {"code": {"default": -1, "description": "Status Code", "title": "Code", "type": "integer"}, "message": {"default": "Unauthorized!", "title": "Message", "type": "string"}}, "title": "Unauthorized", "type": "object"} | |
f7a8fe41-af32-4441-b399-80de9b7a6fd1/42e8e6d2-70a9-4062-bd5a-4699d5182c9c/1/0 | Remoote Job Search | Remoote Job Search | null | list_countries_countries_get | 200 | null | {"countries": [{"alpha2": "", "id": 0, "name": ""}]} | {"$defs": {"CountryModel": {"properties": {"alpha2": {"title": "Alpha2", "type": "string"}, "id": {"title": "Id", "type": "integer"}, "name": {"title": "Name", "type": "string"}}, "required": ["id", "alpha2", "name"], "title": "CountryModel", "type": "object"}}, "properties": {"countries": {"items": {"properties": {"al... | |
f7a8fe41-af32-4441-b399-80de9b7a6fd1/42e8e6d2-70a9-4062-bd5a-4699d5182c9c/2/0 | Remoote Job Search | Remoote Job Search | null | list_countries_countries_get | 422 | null | [{"ctx": {}, "loc": {}, "msg": {}, "type_": {}}] | {"items": {"properties": {"ctx": {"anyOf": [{"type": "object"}, {"type": "null"}], "description": "an optional object which contains values required to render the error message.", "title": "Error context"}, "loc": {"anyOf": [{"items": {"type": "string"}, "type": "array"}, {"type": "null"}], "description": "the error's ... | |
f7a8fe41-af32-4441-b399-80de9b7a6fd1/5f7a7802-3cec-4845-8674-745089085430/0/0 | Remoote Job Search | Remoote Job Search | null | list_jobs_jobs_get | 422 | null | [{"ctx": {}, "loc": {}, "msg": {}, "type_": {}}] | {"items": {"properties": {"ctx": {"anyOf": [{"type": "object"}, {"type": "null"}], "description": "an optional object which contains values required to render the error message.", "title": "Error context"}, "loc": {"anyOf": [{"items": {"type": "string"}, "type": "array"}, {"type": "null"}], "description": "the error's ... | |
f7a8fe41-af32-4441-b399-80de9b7a6fd1/5f7a7802-3cec-4845-8674-745089085430/1/0 | Remoote Job Search | Remoote Job Search | null | list_jobs_jobs_get | 200 | null | {"jobs": [{"apply_url": {}, "countries": [{"alpha2": "", "id": 0, "name": ""}], "currency": {}, "description": {}, "geo_raw": {}, "id": 0, "industry_raw": {}, "is_remote": {}, "max_salary": {}, "min_salary": {}, "requirements_raw": {}, "responsibilities_raw": {}, "salary_range_raw": {}, "skills": [{"id": 0, "name": ""}... | {"$defs": {"CountryModel": {"properties": {"alpha2": {"title": "Alpha2", "type": "string"}, "id": {"title": "Id", "type": "integer"}, "name": {"title": "Name", "type": "string"}}, "required": ["id", "alpha2", "name"], "title": "CountryModel", "type": "object"}, "JobModel": {"properties": {"apply_url": {"anyOf": [{"type... | |
f7a8fe41-af32-4441-b399-80de9b7a6fd1/5f7a7802-3cec-4845-8674-745089085430/2/0 | Remoote Job Search | Remoote Job Search | null | list_jobs_jobs_get | 401 | null | {"code": 0, "message": "Unauthorized!"} | {"properties": {"code": {"default": -1, "description": "Status Code", "title": "Code", "type": "integer"}, "message": {"default": "Unauthorized!", "title": "Message", "type": "string"}}, "title": "Unauthorized", "type": "object"} | |
f7a8fe41-af32-4441-b399-80de9b7a6fd1/a386fccf-552b-43d8-8062-a91f4dc84eeb/0/0 | Remoote Job Search | Remoote Job Search | null | list_titles_titles_get | 422 | null | [{"ctx": {}, "loc": {}, "msg": {}, "type_": {}}] | {"items": {"properties": {"ctx": {"anyOf": [{"type": "object"}, {"type": "null"}], "description": "an optional object which contains values required to render the error message.", "title": "Error context"}, "loc": {"anyOf": [{"items": {"type": "string"}, "type": "array"}, {"type": "null"}], "description": "the error's ... | |
f7a8fe41-af32-4441-b399-80de9b7a6fd1/a386fccf-552b-43d8-8062-a91f4dc84eeb/1/0 | Remoote Job Search | Remoote Job Search | null | list_titles_titles_get | 200 | null | {"titles": [{"name": ""}]} | {"$defs": {"TitleModel": {"properties": {"name": {"title": "Name", "type": "string"}}, "required": ["name"], "title": "TitleModel", "type": "object"}}, "properties": {"titles": {"items": {"properties": {"name": {"title": "Name", "type": "string"}}, "required": ["name"], "title": "TitleModel", "type": "object"}, "title"... | |
f7a8fe41-af32-4441-b399-80de9b7a6fd1/a386fccf-552b-43d8-8062-a91f4dc84eeb/2/0 | Remoote Job Search | Remoote Job Search | null | list_titles_titles_get | 401 | null | {"code": 0, "message": "Unauthorized!"} | {"properties": {"code": {"default": -1, "description": "Status Code", "title": "Code", "type": "integer"}, "message": {"default": "Unauthorized!", "title": "Message", "type": "string"}}, "title": "Unauthorized", "type": "object"} | |
b54ee136-3c62-43e4-a700-95245357e32c/a4e05985-fc21-4687-b79a-994b5d157583/0/0 | name-gender | name to gender prediction | 7.1 | predict | Run predictions | 200 | Response | {"response": [{"name": "Joe", "boy_or_girl": "boy", "probability": 0.56}, {"name": "Biden", "boy_or_girl": "boy", "probability": 0.71}, {"name": "kamala", "boy_or_girl": "girl", "probability": 0.91}, {"name": "harris", "boy_or_girl": "boy", "probability": 0.74}]} | {"type": "object", "properties": {"response": {"type": "array", "items": {"type": "object", "properties": {"name": {"type": "string"}, "boy_or_girl": {"type": "string"}, "probability": {"type": "number"}}}}}} |
27391a93-c2b7-4152-843b-3bc9e54f8ed8/11bf44ee-fd24-470e-b95e-20075e09b3b6/0/0 | Keyword Extractor API | Extract important keywords or key phrases from textual content. With this API, you can easily integrate keyword extraction capabilities into your applications, platforms, or services, enabling you to extract relevant keywords that can be used for various purposes such as content analysis, search engine optimization (SE... | 8.1 | Extract Keywords URL | Extract Keywords from a URL | 200 | Success | {"status": "ok", "error": null, "data": ["tiberius", "wikipedia", "short", "descriptionshort", "description", "matches", "wikidatafeatured", "articlesarticles", "textarticles", "textinstances", "unnamed", "sources", "dearticles", "viaf", "identifiersarticles", "worldcat", "bnfdata", "byzantine", "emperorsbyzantine", "d... | {"type": "object", "properties": {"status": {"type": "string"}, "error": {"type": "null"}, "data": {"type": "array", "items": {"type": "string"}}}} |
27391a93-c2b7-4152-843b-3bc9e54f8ed8/c496e4a5-3abd-4c53-b634-7243f82dae58/0/0 | Keyword Extractor API | Extract important keywords or key phrases from textual content. With this API, you can easily integrate keyword extraction capabilities into your applications, platforms, or services, enabling you to extract relevant keywords that can be used for various purposes such as content analysis, search engine optimization (SE... | 8.1 | Extract Keywords Text | Extract Keywords from a body of text | 200 | Success | {"status": "ok", "error": null, "data": ["lawsuit", "proceeding", "parties", "plaintiff", "claimant", "defendant", "civil", "court", "archaic", "term", "suit", "found", "small", "number", "laws", "effect", "today", "respect", "action", "brought", "party", "claims", "incurred", "loss", "result", "actions", "requests", "... | {"type": "object", "properties": {"status": {"type": "string"}, "error": {"type": "null"}, "data": {"type": "array", "items": {"type": "string"}}}} |
d17524a2-c4b9-4902-b50b-ae30d2c2bb37/4af1f690-b873-4e80-b67b-32e2517c2ddc/0/0 | DocuExprt | DocuExprt | null | /CustomDocument/Verify | Used To Verify Custom Documents. | 200 | Response | {"SeatNumber": "F125643"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"SeatNumber": {"type": "string"}}, "required": ["SeatNumber"]} |
d17524a2-c4b9-4902-b50b-ae30d2c2bb37/f8b0b25b-2b93-4c4a-92d2-81ec3abaf412/0/0 | DocuExprt | DocuExprt | null | /Document/PanCardVerify | Used to Verify Pan Card. | 200 | Response | {"FileName": "https://eklavvyablob.blob.core.windows.net/ssc-result/AGRIUG21024276_28968_XMarksheet.pdf", "status": "Success", "ApplicationID": null, "SeatNumber": "F125643", "CenterNumber": "5205", "DistAndSchoolNumber": "23.06.052", "MonthAndYearExam": "MARCH-2019", "SrNumberOfStatement": "101100", "CandidateFullName... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"FileName": {"type": "string"}, "status": {"type": "string"}, "ApplicationID": {"type": "null"}, "SeatNumber": {"type": "string"}, "CenterNumber": {"type": "string"}, "DistAndSchoolNumber": {"type": "string"}, "MonthAndYearExam": {"type": "s... |
d17524a2-c4b9-4902-b50b-ae30d2c2bb37/0a38c7be-2a63-4c73-9b5e-5e9827fc30a5/0/0 | DocuExprt | DocuExprt | null | /Document/AadharCardVerify | Used to Verify Aadhar Card. | 200 | Response | {"FileName": "https://eklavvyablob.blob.core.windows.net/ssc-result/AGRIUG21024276_28968_XMarksheet.pdf", "status": "Success", "ApplicationID": null, "SeatNumber": "F125643", "CenterNumber": "5205", "DistAndSchoolNumber": "23.06.052", "MonthAndYearExam": "MARCH-2019", "SrNumberOfStatement": "101100", "CandidateFullName... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"FileName": {"type": "string"}, "status": {"type": "string"}, "ApplicationID": {"type": "null"}, "SeatNumber": {"type": "string"}, "CenterNumber": {"type": "string"}, "DistAndSchoolNumber": {"type": "string"}, "MonthAndYearExam": {"type": "s... |
d17524a2-c4b9-4902-b50b-ae30d2c2bb37/f2f7818e-b706-4227-8732-1b2f28cb3b10/0/0 | DocuExprt | DocuExprt | null | /Document/GetDocumentList | Get Authorized Document List. | 200 | Response | {"Document Names": "DoNotMessAround,SSC"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"Document Names": {"type": "string"}}, "required": ["Document Names"]} |
d17524a2-c4b9-4902-b50b-ae30d2c2bb37/c04990f9-ca09-4186-97be-388402f1ec89/0/0 | DocuExprt | DocuExprt | null | /Document/Verify | Used to Verify Document and Extract Data | 200 | Response | {"FileName": "https://eklavvyablob.blob.core.windows.net/ssc-result/AGRIUG21024276_28968_XMarksheet.pdf", "status": "Success", "ApplicationID": null, "SeatNumber": "F125643", "CenterNumber": "5205", "DistAndSchoolNumber": "23.06.052", "MonthAndYearExam": "MARCH-2019", "SrNumberOfStatement": "101100", "CandidateFullName... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"FileName": {"type": "string"}, "status": {"type": "string"}, "ApplicationID": {"type": "null"}, "SeatNumber": {"type": "string"}, "CenterNumber": {"type": "string"}, "DistAndSchoolNumber": {"type": "string"}, "MonthAndYearExam": {"type": "s... |
d17524a2-c4b9-4902-b50b-ae30d2c2bb37/822173c7-3a3d-4681-a164-2fb7114f39a9/0/0 | DocuExprt | DocuExprt | null | /Document/Login | Used to verify Identity. | 200 | Response | {"token": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1bmlxdWVfbmFtZSI6ImRlbW9Ac3BsYXNoZ2Fpbi5jb20iLCJJSUQiOiI0IiwianRpIjoiNGM0ZmQwMTAtMzE2NC00YmRlLThiNzItNzc1ZjVlZjVjMmM3IiwiVmFsaWREb2N1bWVudCI6IkRvTm90TWVzc0Fyb3VuZCxTU0MiLCJuYmYiOjE2NTc3MjgxMTksImV4cCI6MTY1Nzc0NjExOSwiaWF0IjoxNjU3NzI4MTE5fQ.Vs40JPgZaLPek8ck9EbZ4TlUdsR3_... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"token": {"type": "string"}}, "required": ["token"]} |
53aa5088e4b07e1f4ebeb439/53aa5089e4b0a798dbd1a61f/0/0 | Word Dictionary | A dictionary and so much more! Rich information for a word with definitions, associations, examples, and much more. | 9.6 | Theme | Get the themes of a word. | 200 | Response | {"author": "twinword inc.", "email": "help@twinword.com", "entry": "mask", "request": "mask", "response": "mask", "result_code": "200", "result_msg": "Success", "theme": ["cover", "search", "secret", "wear", "skirt", "boot", "skin", "image", "human"], "version": "4.0.0"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"author": {"type": "string"}, "email": {"type": "string"}, "entry": {"type": "string"}, "request": {"type": "string"}, "response": {"type": "string"}, "result_code": {"type": "string"}, "result_msg": {"type": "string"}, "theme": {"type": "ar... |
53aa5088e4b07e1f4ebeb439/53aa5089e4b0a9b1348da6ad/0/0 | Word Dictionary | A dictionary and so much more! Rich information for a word with definitions, associations, examples, and much more. | 9.6 | Difficulty | Get the difficulty level of a word. | 200 | Response | {"author": "twinword inc.", "email": "help@twinword.com", "entry": "mask", "request": "mask", "response": "mask", "result_code": "200", "result_msg": "Success", "ten_degree": 3, "version": "4.0.0"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"author": {"type": "string"}, "email": {"type": "string"}, "entry": {"type": "string"}, "request": {"type": "string"}, "response": {"type": "string"}, "result_code": {"type": "string"}, "result_msg": {"type": "string"}, "ten_degree": {"type"... |
53aa5088e4b07e1f4ebeb439/53aa5089e4b0a798dbd1a61d/0/0 | Word Dictionary | A dictionary and so much more! Rich information for a word with definitions, associations, examples, and much more. | 9.6 | Example | See examples of a word used in a sentence | 200 | Response | {"author": "twinword inc.", "email": "help@twinword.com", "entry": "mask", "example": ["The red figure wears the same hat and mask in the background.", "The conformable mask is then stripped and a new conformable mask laid down.", "She was wearing a Kachina dancer's mask.", "The grandiosity is just a momentary mask.", ... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"author": {"type": "string"}, "email": {"type": "string"}, "entry": {"type": "string"}, "example": {"type": "array", "items": {"type": "string"}}, "request": {"type": "string"}, "response": {"type": "string"}, "result_code": {"type": "string... |
53aa5088e4b07e1f4ebeb439/53aa5089e4b07e1f4ebeb443/0/0 | Word Dictionary | A dictionary and so much more! Rich information for a word with definitions, associations, examples, and much more. | 9.6 | Reference | Get the broad terms, narrow terms, related terms, evocations, synonyms, associations, and derived terms of a word. | 200 | Response | {"author": "twinword inc.", "email": "help@twinword.com", "entry": "mask", "relation": {"associations": "", "broad_terms": "protective covering, protective cover, protection, party, mask, hiding, hide, disguise, covering, cover, concealment, concealing, conceal", "derived_terms": "death mask, 'Mask house', , a house fo... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"author": {"type": "string"}, "email": {"type": "string"}, "entry": {"type": "string"}, "relation": {"type": "object", "properties": {"associations": {"type": "string"}, "broad_terms": {"type": "string"}, "derived_terms": {"type": "string"},... |
53aa5088e4b07e1f4ebeb439/53aa5089e4b0596140340685/0/0 | Word Dictionary | A dictionary and so much more! Rich information for a word with definitions, associations, examples, and much more. | 9.6 | Association | Get the associations of a word. | 200 | Response | {"assoc_word": ["hide", "hat", "face"], "assoc_word_ex": ["hide", "hat", "face", "veil", "disguise", "camouflage"], "author": "twinword inc.", "email": "help@twinword.com", "entry": "mask", "request": "mask", "response": "mask", "result_code": "200", "result_msg": "Success", "version": "4.0.0"} | {"properties": {"assoc_word": {"items": {"type": "string"}, "type": "array"}, "assoc_word_ex": {"items": {"type": "string"}, "type": "array"}, "author": {"type": "string"}, "email": {"format": "email", "type": "string"}, "entry": {"type": "string"}, "request": {"type": "string"}, "response": {"type": "string"}, "result... |
53aa5088e4b07e1f4ebeb439/53aa5089e4b0a798dbd1a61c/0/0 | Word Dictionary | A dictionary and so much more! Rich information for a word with definitions, associations, examples, and much more. | 9.6 | Exam History | See which exams a word has been on | 200 | Response | {"author": "twinword inc.", "email": "help@twinword.com", "entry": "mask", "exam": ["toeic", "toefl", "ielts", "gre", "gmat"], "request": "mask", "response": "mask", "result_code": "200", "result_msg": "Success", "version": "4.0.0"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"author": {"type": "string"}, "email": {"type": "string"}, "entry": {"type": "string"}, "exam": {"type": "array", "items": {"type": "string"}}, "request": {"type": "string"}, "response": {"type": "string"}, "result_code": {"type": "string"},... |
53aa5088e4b07e1f4ebeb439/53aa5089e4b0a798dbd1a61b/0/0 | Word Dictionary | A dictionary and so much more! Rich information for a word with definitions, associations, examples, and much more. | 9.6 | Definition | Get the definitions of a word. | 200 | Response | {"author": "twinword inc.", "email": "help@twinword.com", "entry": "mask", "ipa": "m\u0251\u02d0sk", "meaning": {"adjective": "", "adverb": "", "noun": "(nou) a covering to disguise or conceal the face\n(nou) activity that tries to conceal something\n(nou) a party of guests wearing costumes and masks\n(nou) a protectiv... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"author": {"type": "string"}, "email": {"type": "string"}, "entry": {"type": "string"}, "ipa": {"type": "string"}, "meaning": {"type": "object", "properties": {"adjective": {"type": "string"}, "adverb": {"type": "string"}, "noun": {"type": "... |
18e13722-ad38-4c09-aa48-0b93bf75a459/47ad4f74-3cfe-4b1d-87d5-4e16bd004c79/0/0 | French Entity Recognition | Lettria's French Named Entity Recognition. | null | French Named Entity Recognition | This API automatically identifies names entities within your text. Extract more than 40 entities from a wide range of information : name, date, phone number, email, postal address, mass, organization, IP address, social security number etc. | 200 | Extract NER Standard Return | [[{"source": "1kg", "type": "mass", "value": {"centigramme": 100000, "confidence": 0.99, "gramme": 1000, "kilogramme": 1, "onces": 35.27399072294044, "pounds": 2.2046244201837775, "scalar": 1, "stone": 0.1574731232746851, "ton": 9.842035332906845e-05, "tonnes": 0.001, "unit": "kg"}}], [{"source": "3kg", "type": "mass",... | {"items": {"items": {"properties": {"source": {"type": "string"}, "type": {"type": "string"}, "value": {"properties": {"centigramme": {"type": "integer"}, "confidence": {"type": "number"}, "gramme": {"type": "integer"}, "kilogramme": {"type": "integer"}, "onces": {"type": "number"}, "pounds": {"type": "number"}, "scala... |
d742c702-1808-481b-93ef-2b6222368055/1687b75a-4a7f-41ec-9a1a-2c888c9f0d7b/0/0 | Stacks Patent Similarity | This is a useful API for finding claims similar to the user's input text. The "Infringement Research" is a tool for returning similar claims that the text is likely to infringe. The "101 Eligibility Analyzer" is a tool for testing a claim for eligibility under both "Alice Test Step One" and "Alice Test Step Two". The "... | 0.2 | post_infringement_v1_infringement_research_predict_post | Create a request item with the following information:
text: should be minimum length of 20 words for better performance. The maximum limit is 512 words, so longer queries will be truncated. (required).
claims: is a list of claims on which you're testing to see if the text is infringing. The maximum number of entries i... | 200 | Example_1 | {"data": [{"patent_number": "US9141433B2", "document_url": "https://patents.google.com/patent/US9141433B2", "predictions": [{"claim_number": 1, "claim_text": "A system, comprising: a memory; and a processor programmed to: retrieve a computing job comprising a plurality of prioritized tasks from the memory, where the pr... | {"title": "InfringementPostResponse", "required": ["data", "messages"], "type": "object", "properties": {"data": {"title": "Data", "type": "array", "items": {}}, "model": {"title": "Model", "type": "string"}, "messages": {"title": "Messages", "type": "array", "items": {"type": "string"}}}, "description": "Returned resp... |
d742c702-1808-481b-93ef-2b6222368055/1687b75a-4a7f-41ec-9a1a-2c888c9f0d7b/1/0 | Stacks Patent Similarity | This is a useful API for finding claims similar to the user's input text. The "Infringement Research" is a tool for returning similar claims that the text is likely to infringe. The "101 Eligibility Analyzer" is a tool for testing a claim for eligibility under both "Alice Test Step One" and "Alice Test Step Two". The "... | 0.2 | post_infringement_v1_infringement_research_predict_post | Create a request item with the following information:
text: should be minimum length of 20 words for better performance. The maximum limit is 512 words, so longer queries will be truncated. (required).
claims: is a list of claims on which you're testing to see if the text is infringing. The maximum number of entries i... | 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... |
d742c702-1808-481b-93ef-2b6222368055/e0a09bc5-6d5f-4dfc-9911-68e44ab66fb6/0/0 | Stacks Patent Similarity | This is a useful API for finding claims similar to the user's input text. The "Infringement Research" is a tool for returning similar claims that the text is likely to infringe. The "101 Eligibility Analyzer" is a tool for testing a claim for eligibility under both "Alice Test Step One" and "Alice Test Step Two". The "... | 0.2 | post_infringement_clearance_v1_patent_analytics_clearance_post | Create a request item with the following information:
text: should be minimum length of 20 words for better performance. The maximum limit is 512 words, so longer queries will be truncated. (required).
max_limit: is the maximum number of results to be returned (optional). Default number is 10 and it cannot go over 100... | 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... |
d742c702-1808-481b-93ef-2b6222368055/e0a09bc5-6d5f-4dfc-9911-68e44ab66fb6/1/0 | Stacks Patent Similarity | This is a useful API for finding claims similar to the user's input text. The "Infringement Research" is a tool for returning similar claims that the text is likely to infringe. The "101 Eligibility Analyzer" is a tool for testing a claim for eligibility under both "Alice Test Step One" and "Alice Test Step Two". The "... | 0.2 | post_infringement_clearance_v1_patent_analytics_clearance_post | Create a request item with the following information:
text: should be minimum length of 20 words for better performance. The maximum limit is 512 words, so longer queries will be truncated. (required).
max_limit: is the maximum number of results to be returned (optional). Default number is 10 and it cannot go over 100... | 200 | Example_1 | {"data": [{"patent_id": "8570814", "type": "utility", "number": "8570814", "country": "US", "date": "2013-10-29", "year": 2013, "abstract": "Memory states of a multi-bit memory cell are demarcated by generating read reference signals having levels that constitute boundaries of the memory states. The read reference sign... | {"title": "AnalyticsClearancePostResponse", "required": ["data", "messages"], "type": "object", "properties": {"data": {"title": "Data", "type": "array", "items": {}}, "model": {"title": "Model", "type": "string"}, "messages": {"title": "Messages", "type": "array", "items": {"type": "string"}}}, "description": "Returne... |
37767073-c86d-4c9d-925d-e9235f160f98/6e48f84d-4263-4914-a9f7-f1a1dcb1e4ea/0/0 | Sentiment Analysis API | English text sentiment analysis API | 6 | Text Input | Please input plain text | 200 | Response | {"sentiment": "negative", "score": {"negative": 0.343, "neutral": 0.493, "positive": 0.164, "compound": -0.4915}} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"sentiment": {"type": "string"}, "score": {"type": "object", "properties": {"negative": {"type": "number"}, "neutral": {"type": "number"}, "positive": {"type": "number"}, "compound": {"type": "number"}}, "required": ["compound", "negative", ... |
028d1d3d-7b88-48d7-ab3b-2f7ba2df022f/14f7a292-198f-4e05-9b36-a40d10fb2bf5/0/0 | Poem-Rap Wizard | Poem-Rap Wiz API harnesses AI to create custom poems and raps from user-provided details. Input a name, relevant info, and choose between a poem or rap for a unique, AI-generated piece, perfect for special occasions, personalized messages, or discovering AI-powered creative writing. | null | /generate_poem_rap | 200 | null | {"text": ""} | {"type": "object", "properties": {"text": {"type": "string", "description": "The generated poem or rap text."}}} | |
087a2128-28d2-43af-b884-c84bafc5fd60/49951cb0-2760-4adc-aa25-889b3bf4290f/0/0 | Classify any Webpage with Google Cloud Natural Language | Using Google's Natural Language Processing (NLP) technology is a highly effective approach to effectively categorizing content to optimize Search Engine Optimization (SEO) and establish topical authority. By utilizing this cutting-edge technology, businesses can effectively organize and optimize their content to ensure... | 5.7 | Classify any URL with Google NLP | Classify any URL with Google NLP | 200 | New Example | [{"confidence": 0.70254016, "name": "/Computers & Electronics/Programming/Development Tools"}, {"confidence": 0.6787314, "name": "/Computers & Electronics/Software/Business & Productivity Software"}, {"confidence": 0.24937595, "name": "/Computers & Electronics/Programming/Other"}, {"confidence": 0.15354379, "name": "/I... | {"$schema": "http://json-schema.org/schema#", "type": "array", "items": {"type": "object", "properties": {"confidence": {"type": "number"}, "name": {"type": "string"}}, "required": ["confidence", "name"]}} |
0d3bb6c6-9dc4-4c7e-b81f-6141d886c18e/5acaa4dc-1d4c-4bf1-a7ff-c3a89b950753/0/0 | Translator | Translate any text you want with our Translator; we support ~100 languages. Please note that the expected time for processing a request can be 10-30 seconds during the beta testing period. | 9.2 | translate_language | Translate the provided text into the chosen language. The input language is auto-detected. | 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... |
0d3bb6c6-9dc4-4c7e-b81f-6141d886c18e/5acaa4dc-1d4c-4bf1-a7ff-c3a89b950753/1/0 | Translator | Translate any text you want with our Translator; we support ~100 languages. Please note that the expected time for processing a request can be 10-30 seconds during the beta testing period. | 9.2 | translate_language | Translate the provided text into the chosen language. The input language is auto-detected. | 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... |
f2d5ddff-5f6a-4ffc-bc73-0546960ef384/33daeb04-a8b8-4cd6-94cb-72b1f30a3e79/0/0 | Sentiment Analysis | Classify text into three class sentiments (neutral, positive and negative). The api currently supports English and Arabic dialects. | null | en_sentiment | Recieve a new sentiment extraction job
...
Parameters
payload: str
string object that can be read as dictoinary contains the input text
and optional threshold | 200 | New Example | {"text": "It's perfect ", "normalized_text": "It s perfect", "negative_probability": 0.12482409924268723, "neutral_probability": 0.19524116814136505, "positive_probability": 0.6799347400665283, "predicted_sentiment": 1, "confidence": 0.6799347400665283} | {"type": "object", "properties": {"text": {"type": "string"}, "normalized_text": {"type": "string"}, "negative_probability": {"type": "number"}, "neutral_probability": {"type": "number"}, "positive_probability": {"type": "number"}, "predicted_sentiment": {"type": "integer"}, "confidence": {"type": "number"}}} |
f2d5ddff-5f6a-4ffc-bc73-0546960ef384/0138f907-ae34-4be8-9986-6a9968554f4f/0/0 | Sentiment Analysis | Classify text into three class sentiments (neutral, positive and negative). The api currently supports English and Arabic dialects. | null | ar_sentiment | Recieve a new sentiment extraction job
...
Parameters
payload: str
string object that can be read as dictoinary contains the input text
and optional threshold | 200 | New Example | {"text": "\u0627\u0644\u0645\u0646\u062a\u062c \u062f\u0647 \u062c\u0627\u0645\u062f", "normalized_text": "\u0645\u0646\u062a\u062c \u062f\u0647 \u062c\u0627\u0645\u062f", "negative_probability": 0.055074308067560196, "neutral_probability": 0.30793607234954834, "positive_probability": 0.6369895935058594, "predicted_sen... | {"type": "object", "properties": {"text": {"type": "string"}, "threshold": {"type": "number"}}} |
69b15242-eef9-4565-9560-230c923439f7/6d2bb7fb-342c-4924-91be-83720aaa3a44/0/0 | Language Tools | Various tools to analyze and modify text. | null | /language | Gives the language of the given text. | 200 | New Example | {"language": "English"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"language": {"type": "string"}}, "required": ["language"]} |
69b15242-eef9-4565-9560-230c923439f7/80c345f7-1137-4e1b-a2a8-4054769664bf/0/0 | Language Tools | Various tools to analyze and modify text. | null | /topic | Gives the topic of the given text. | 200 | The Beatles | {"topic": "The Beatles"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"topic": {"type": "string"}}, "required": ["topic"]} |
69b15242-eef9-4565-9560-230c923439f7/9556e6dd-23c2-4606-801a-9cc015798e02/0/0 | Language Tools | Various tools to analyze and modify text. | null | /similarity | Rates the similarity of two texts with a value between 0 and 1. | 200 | Famous Bands | {"similarity": 0.5} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"similarity": {"type": "number"}}, "required": ["similarity"]} |
69b15242-eef9-4565-9560-230c923439f7/690e8042-0067-48cd-9ab5-a8bd3e0c3439/0/0 | Language Tools | Various tools to analyze and modify text. | null | /sentiment | Gives the sentiment of the given text in a value between -1 and +1 and in a brief description. | 200 | The Beatles | {"sentiment": 0.7, "description": "The Beatles are seen as a revolutionary force in popular music and culture that changed the face of the industry and impacted generations."} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"sentiment": {"type": "number"}, "description": {"type": "string"}}, "required": ["description", "sentiment"]} |
69b15242-eef9-4565-9560-230c923439f7/90d54df8-e723-4114-98ee-fba1416c9d41/0/0 | Language Tools | Various tools to analyze and modify text. | null | /keywords | Lists keywords for the given text. | 200 | The Beatles | {"keywords": ["Beatles", "English", "Liverpool", "John Lennon", "Paul McCartney", "George Harrison", "Ringo Starr", "Skiffle", "Beat", "Rock 'n' Roll", "Classical", "Pop", "Folk", "Indian", "Psychedelia", "Hard Rock", "Recording", "Songwriting", "Artistic", "Revolutionised", "Youth", "Socio-cultural", "Movements"]} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"keywords": {"type": "array", "items": {"type": "string"}}}, "required": ["keywords"]} |
69b15242-eef9-4565-9560-230c923439f7/95f8d7a1-91b2-423f-82e8-c552614b0532/0/0 | Language Tools | Various tools to analyze and modify text. | null | /entities | Lists the entities and their type for the given text. | 200 | The Beatles | {"entities": [{"entity": "John Lennon", "type": "Person"}, {"entity": "Paul McCartney", "type": "Person"}, {"entity": "George Harrison", "type": "Person"}, {"entity": "Ringo Starr", "type": "Person"}, {"entity": "The Beatles", "type": "Band"}, {"entity": "Liverpool", "type": "City"}, {"entity": "1960s", "type": "Decade... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"entities": {"type": "array", "items": {"type": "object", "properties": {"entity": {"type": "string"}, "type": {"type": "string"}}, "required": ["entity", "type"]}}}, "required": ["entities"]} |
69b15242-eef9-4565-9560-230c923439f7/8b2d20c9-57e3-422f-97ce-ecca4bee2460/0/0 | Language Tools | Various tools to analyze and modify text. | null | /brainstorm | Lists ideas for a given topic, context and within the defined constraints. | 200 | YouTube video about flowers | {"ideas": ["Bloomin' Amazing: A Look at Fabulous Flowers", "Flower Power: How to Make Your Garden Grow", "Sow-Worthy Spectacles: A Bouquet of Beautiful Blooms", "Roses are Red, Violets are Blue-tiful: A Garden Tour", "The Petal Pusher: An Exploration of Flowery Fun", "Pretty in Petals: An Appreciation of Floral Finds",... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"ideas": {"type": "array", "items": {"type": "string"}}}, "required": ["ideas"]} |
69b15242-eef9-4565-9560-230c923439f7/60e7a5e7-7402-4d2a-a8cc-545935272307/0/0 | Language Tools | Various tools to analyze and modify text. | null | /associations | Lists associations for the given word. | 200 | New Example | {"associations": ["Petal", "Bloom", "Garden", "Nature", "Spring", "Pollen", "Color", "Bouquet", "Aroma", "Vase"]} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"associations": {"type": "array", "items": {"type": "string"}}}, "required": ["associations"]} |
69b15242-eef9-4565-9560-230c923439f7/1cf169ab-abd9-4538-a306-204994246f05/0/0 | Language Tools | Various tools to analyze and modify text. | null | /rephrase-simple | Rephrases a given text in simple language. | 200 | The Beatles | {"text": "The Beatles were an English rock band formed in Liverpool in 1960. They were made up of John Lennon, Paul McCartney, George Harrison and Ringo Starr. They were very famous and important in the development of popular music. They combined different kinds of music like skiffle, beat, rock 'n' roll, classical mus... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"text": {"type": "string"}}, "required": ["text"]} |
69b15242-eef9-4565-9560-230c923439f7/71c15e62-64a3-48a7-b1cc-f86b0e5d376d/0/0 | Language Tools | Various tools to analyze and modify text. | null | /rephrase-joke | Rephrases a given text in a fun way and even adds jokes. | 200 | New Example | {"text": "The Fab Four from Liverpool, John Lennon, Paul McCartney, George Harrison and Ringo Starr, known as The Beatles, were a legendary rock band that changed the face of music forever! From their roots in skiffle, beat and 50s rock 'n' roll, to their forays into classical music, traditional pop and even psychedeli... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"text": {"type": "string"}}, "required": ["text"]} |
69b15242-eef9-4565-9560-230c923439f7/5030239f-e121-4fb1-88ff-c8333aba41a6/0/0 | Language Tools | Various tools to analyze and modify text. | null | /rephrase-formal | Rephrases a given text in a formal tone. | 200 | The Beatles | {"text": "The Beatles were an English rock band formed in Liverpool in 1960, comprised of John Lennon, Paul McCartney, George Harrison and Ringo Starr. Widely acknowledged as the most influential band of all time, they were pivotal in the progression of 1960s counterculture and popular music as an art form. Drawing fro... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"text": {"type": "string"}}, "required": ["text"]} |
69b15242-eef9-4565-9560-230c923439f7/c75302f2-ef41-4498-81e8-5c2eded42cdb/0/0 | Language Tools | Various tools to analyze and modify text. | null | /rephrase-fiveyearold | Rephrases a given text as if written by a five-year-old. | 200 | New Example | {"text": "The Beatles were a really cool band from England that was made up of John Lennon, Paul McCartney, George Harrison and Ringo Starr. They made lots of great music that was a mix of lots of different kinds of sounds like skiffle, beat and rock 'n' roll. They were really special because they were the first to do ... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"text": {"type": "string"}}, "required": ["text"]} |
69b15242-eef9-4565-9560-230c923439f7/a528d978-c9a9-4b26-973d-c81c17a8b41a/0/0 | Language Tools | Various tools to analyze and modify text. | null | /rephrase-casual | Rephrases a given text in a casual tone. | 200 | The Beatles | {"text": "The Beatles were a legendary English rock band from Liverpool formed in 1960. They consisted of John Lennon, Paul McCartney, George Harrison and Ringo Starr and are widely considered to be the most influential band of all time. They blended elements of skiffle, beat, 1950s rock 'n' roll, classical music and t... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"text": {"type": "string"}}, "required": ["text"]} |
69b15242-eef9-4565-9560-230c923439f7/74efdb29-0f0c-468b-a532-c2eb97a7e929/0/0 | Language Tools | Various tools to analyze and modify text. | null | /rephrase-neutral | Rephrases a given text. | 200 | The Beatles | {"text": "The Beatles were a revolutionary English rock band from Liverpool that changed the entire music industry. Formed in 1960, the band included John Lennon, Paul McCartney, George Harrison, and Ringo Starr. Drawing inspiration from skiffle, beat, and 1950s rock 'n' roll, their sound incorporated elements of class... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"text": {"type": "string"}}, "required": ["text"]} |
69b15242-eef9-4565-9560-230c923439f7/0a0f1e2e-08e3-4a67-aa0a-695b65a180e5/0/0 | Language Tools | Various tools to analyze and modify text. | null | /summary | Summarizes a given text. | 200 | The Beatles | {"summary": "The Beatles revolutionized the music industry and were seen as pioneers in recording, songwriting, and artistic presentation."} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"summary": {"type": "string"}}, "required": ["summary"]} |
8e363693-ed0b-42a4-b325-e137f59e12f4/d06489a9-cb2a-4ebd-9e79-f492863be223/0/0 | Gender From Name | Find the gender by just using a name. | 8.8 | getGender | Finds the gender from over 100,000 (first) names. Supports name variants as well. | 200 | New Example | {"gender": "F", "probability": 100} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"gender": {"type": "string"}, "probability": {"type": "integer"}}, "required": ["gender", "probability"]} |
fcd11cd1-f862-440a-9b45-5179c67b2243/ddebf136-eec2-44c9-843f-cca595daff80/0/0 | lenguaje | Spanish language tools | null | GET de conjugación de verbos | Devuelve la conjugación de un verbo en infinitivo | 200 | Response | ["aprender", "aprendiendo", "aprendido", "aprendo", "aprendes", "aprende", "aprendemos", "aprend\u00e9is", "aprenden", "aprend\u00eda", "aprend\u00edas", "aprend\u00eda", "aprend\u00edamos", "aprend\u00edais", "aprend\u00edan", "aprend\u00ed", "aprendiste", "aprendi\u00f3", "aprendimos", "aprendisteis", "aprendieron", ... | {"$schema": "http://json-schema.org/schema#", "type": "array", "items": {"type": "string"}} |
578e2f91-04d8-4007-8ecc-33f4a76fa470/af673b67-9a0e-4830-8f3b-65bec7af4dfe/0/0 | Zephyr Beta | ChatGPT API: Highly performant, fast language model. Fullly openai compatible. Use existing python or node openai libs! Compare to GPT3. | 7.2 | /chat/completions | openai chat completions | 200 | New Example | {"choices": [{"finish_reason": "length", "index": 0, "message": {"content": " Bonjour, comment allez-vous ?", "role": "assistant"}}], "created": 1700284875, "id": "chatcmpl", "model": "LLaMA_CPP", "object": "chat.completion", "truncated": false, "usage": {"completion_tokens": 50, "prompt_tokens": 69, "total_tokens": 11... | {"type": "object", "properties": {"key1": {"type": "string"}, "key2": {"type": "string"}}} |
30527e89-2e11-4a23-9eb7-e16e7a1bcbc5/d6d1a7bc-1aee-4bcb-8056-b3349c08bef4/0/0 | Multi-lingual Sentiment Analysis | Multi-lingual Sentimel Analysis uses computational linguistics and text mining to automatically determine the sentiment or affective nature of the text being analyzed in multiple language support.
This API can detect the languange and reponse the accurate sentiment polarity of given text, but you can define {lang} para... | 7.9 | Sentiment Analysis | Multi-lingual Sentiment Analysis parameter {lang} is optional, we can detect the language but you can define it for better result and accurate | 200 | Response | {"label": "positive", "language": "it", "sentiment_score": {"compound": 0.0772, "neg": 0, "neu": 0.435, "pos": 0.565}, "text": "numero uno"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"label": {"type": "string"}, "language": {"type": "string"}, "sentiment_score": {"type": "object", "properties": {"compound": {"type": "number"}, "neg": {"type": "integer"}, "neu": {"type": "number"}, "pos": {"type": "number"}}, "required": ... |
b54aba2d-6958-404d-bd25-d485a108e038/34e06a78-eee0-4f5f-94bc-01d6312649d3/0/0 | Profanity Buster | Find profanities and offensive words from any text.
The JSON API that helps you filter profanity and bad words in your reviews, chat, or any text.
Supported Languages:
English
French
Spanish (coming soon)
Italian (coming soon)
Many more are coming... | null | /profanities | 200 | null | {"results": [{"segment": "idiot", "category": "insult", "severity": "soft"}]} | {"type": "object", "properties": {"results": {"type": "array", "items": {"type": "object", "properties": {"segment": {"type": "string"}, "category": {"type": "string"}, "severity": {"type": "string"}}}}}} | |
c64b4004-25f3-42b3-938b-bbbf22e6b943/d5c7ff81-6812-4464-8caa-ec50dcb0ea07/0/0 | French Keywords Extraction | Lettria's French Keywords Exraction | null | Extract Keywords | Easily retrieve keywords within your text. This API automatically analyses your input (tokenization, pos-tagging, lemmatization) and erases stop words to help you identify main keywords within a text (such as vers, common nouns, proper nouns, adjectives, adverbs). | 200 | Extract Keywords Standard Return | [[{"lemma": "etre", "lexicon": [], "meaning": [], "nlp": {"lemmatizer": [{"confidence": 0.99, "conjugate": [{"mode": "indicative", "pronom": 3, "temps": "present"}], "infinit": "etre"}], "source": "est", "tag": "V"}, "source": "est", "tag": "V"}, {"lemma": "incroyable", "lexicon": [], "meaning": [], "nlp": {"lemmatizer... | {"$schema": "http://json-schema.org/schema#", "type": "array", "items": {"type": "array", "items": {"type": "object", "properties": {"lemma": {"type": "string"}, "lexicon": {"type": "array"}, "meaning": {"type": "array"}, "nlp": {"type": "object", "properties": {"lemmatizer": {"anyOf": [{"type": "array", "items": {"typ... |
2f1ec093-2eee-404f-bc59-7c50bdcc26db/854b5a42-2213-4a66-8938-ce1c359e051d/0/0 | Keyword Extraction | Extract the most relevant words and expressions from text. | null | extract | Extract the most relevant words and expressions from text. | 200 | Response | {"illustrative examples": 4, "prior coordination": 4, "text": 1, "apis": 1, "testing": 1, "permission": 1} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"illustrative examples": {"type": "integer"}, "prior coordination": {"type": "integer"}, "text": {"type": "integer"}, "apis": {"type": "integer"}, "testing": {"type": "integer"}, "permission": {"type": "integer"}}, "required": ["apis", "illu... |
6a2c6316-f5c2-4e3e-91c4-76029d671f7f/0dae9a55-153b-4933-9fd2-5b56fc171658/1/0 | Gibberish Text Detection | null | null | predict_detect_gibberish_post | 422 | null | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"title": "HTTPValidationError", "type": "object", "properties": {"detail": {"title": "Detail", "type": "array", "items": {"title": "ValidationError", "required": ["loc", "msg", "type"], "type": "object", "properties": {"loc": {"title": "Location", "type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "inte... | |
9ac8d477-a033-41c2-80d0-c2c82186d4bf/24069108-91ae-4713-9a7d-05760ce7a997/0/0 | TLDR Text Analysis | TLDR (Too Long Didn't Read) is a Text Analysis API that allows you to extract summaries and ranked keywords from articles on web. | 8.7 | Summarize | Summarizes an article by fetching text from a specified URL or reading the input text and generating a summary for a web article. | 200 | Sample Article Summary | {"summary": "This is a sample summary."} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"summary": {"type": "string"}}, "required": ["summary"]} |
9ac8d477-a033-41c2-80d0-c2c82186d4bf/c105f25b-b50f-4fe5-99d0-59fb0ad4a705/0/0 | TLDR Text Analysis | TLDR (Too Long Didn't Read) is a Text Analysis API that allows you to extract summaries and ranked keywords from articles on web. | 8.7 | Sentiment Analysis | Performs sentiment analysis on a web article or text input. | 200 | New Example | {"sentiment": "positive", "polarity": 0.5} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"sentiment": {"type": "string"}, "polarity": {"type": "number"}}, "required": ["polarity", "sentiment"]} |
9ac8d477-a033-41c2-80d0-c2c82186d4bf/f30bf0e3-831f-43a8-9d05-727db2012dc5/0/0 | TLDR Text Analysis | TLDR (Too Long Didn't Read) is a Text Analysis API that allows you to extract summaries and ranked keywords from articles on web. | 8.7 | Extract Keywords | Extracts keywords from an article given the URL for the article and the number of keywords to search for. | 200 | Sample Keywords | [{"keyword": "keyword1", "score": 10}, {"keyword": "keyword2", "score": 7}] | {"$schema": "http://json-schema.org/schema#", "type": "array", "items": {"type": "object", "properties": {"keyword": {"type": "string"}, "score": {"type": "integer"}}, "required": ["keyword", "score"]}} |
f37694cf-6151-4917-9502-eed3ebad6b67/d4fe2c15-611f-437b-8459-890a21d50304/0/0 | Suggest Keyword Generator | This API generates keyword and content idea suggestions for the keyword you've requested. | null | Gain Keyword Suggestions | This will generate keyword suggestions for the given keyword. The keywords will be based on global keywords, how to keywords, top keywords, best keywords and many more. | 200 | Response | {"best search engine": ["best search engine", "best search engine 2021", "best search engine reddit", "best search engine for dark web", "best search engine for privacy", "best search engine in the world", "best search engine for flights", "best search engine for android", "best search engine for iphone", "best search ... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"best search engine": {"type": "array", "items": {"type": "string"}}, "global": {"type": "array", "items": {"type": "string"}}, "how search engine": {"type": "array", "items": {"type": "string"}}, "how to * search engine": {"type": "array", ... |
2a7febbf-a321-43cb-8eaa-3cf333c85d0b/06e1416f-00c5-40f3-926f-3982a2ed3128/0/0 | Document Parser and Extraction | Extract data from documents and scans | null | Delete | Delete an existing vocabulary by id | 204 | New Example | {"key1": "value", "key2": "value"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"key1": {"type": "string"}, "key2": {"type": "string"}}, "required": ["key1", "key2"]} |
2a7febbf-a321-43cb-8eaa-3cf333c85d0b/0141ac92-a8c7-44d2-ac04-a7abf2c951b9/0/0 | Document Parser and Extraction | Extract data from documents and scans | null | List | Get a list of existing extraction vocabularies | 200 | New Example | [{"id": "2cbdee00-34c8-43c9-a08f-f1bb48bedd2f", "name": "Asset_Amount", "entries": []}, {"id": "2cbdee00-34c8-43c9-a08f-f1bb48bedd2f-2", "name": "Account Number", "entries": []}] | {"$schema": "http://json-schema.org/schema#", "type": "array", "items": {"type": "object", "properties": {"id": {"type": "string"}, "name": {"type": "string"}, "entries": {"type": "array"}}, "required": ["entries", "id", "name"]}} |
2a7febbf-a321-43cb-8eaa-3cf333c85d0b/a2652749-a03a-4f08-95ee-c9cfe0caf27b/0/0 | Document Parser and Extraction | Extract data from documents and scans | null | Create | Create one or more variations for a field name to be captured from the input documents. | 201 | New Example | {"id": "168afb0d-7d28-4aa6-b554-10fcb460434c", "name": "Account Number", "entries": [{"str": "account number", "category": "Account Number"}, {"str": "act id", "category": "Account Number"}, {"str": "account no", "category": "Account Number"}]} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"id": {"type": "string"}, "name": {"type": "string"}, "entries": {"type": "array", "items": {"type": "object", "properties": {"str": {"type": "string"}, "category": {"type": "string"}}, "required": ["category", "str"]}}}, "required": ["entri... |
072c65ba-bb82-4e81-bd3d-b48bfb6286f1/69a0379d-afb1-4f5e-8b7f-67905a658f86/0/0 | Geneea Interpretor NLP | NLP, Sentiment, Named and General entity extraction, Language identification 30+, Tags | null | General API | Interpretor API is a bundle of Natural Language Processing functions, a set of text analysis tools that can extract insights from large quantities of text. The current endpoints are General NLP, Sentiment analysis, Entity extraction, Tags extraction and Language detection. | 200 | Example Response 1 | {"docSentiment": {"label": "positive", "mean": 0.1, "negative": 0, "positive": 0.1}, "entities": [{"id": "e0", "mentions": [{"id": "m0", "mwl": "Angela Merkel", "text": "Angela Merkel", "tokenIds": ["w0", "w1"]}, {"id": "m1", "mwl": "Angela Merkel", "text": "Angela Merkel", "tokenIds": ["w5", "w6"]}], "stdForm": "Angel... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"docSentiment": {"type": "object", "properties": {"label": {"type": "string"}, "mean": {"type": "number"}, "negative": {"type": "integer"}, "positive": {"type": "number"}}, "required": ["label", "mean", "negative", "positive"]}, "entities": ... |
388f7c3b-8f89-464c-abb6-c24987956df2/ea4d0d9b-6669-42d3-9002-e92525276d2e/0/0 | Text Extract | Extracting Text, Word Count, and Metadata from a Provided URL | 9.1 | Extract Text | Extracts text, word count and metadata from given URL | 200 | New Example | {"title": "A brief history of code search at GitHub | The GitHub Blog", "author": "Pavel Avgustinov", "hostname": "github.blog", "date": "2021-12-15", "categories": "Engineering;Product", "tags": "code search", "fingerprint": "iHIM4x4kA7Yb2twQKDrFkxTZkRY=", "id": null, "license": null, "raw-text": "We recently launched... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"title": {"type": "string"}, "author": {"type": "string"}, "hostname": {"type": "string"}, "date": {"type": "string"}, "categories": {"type": "string"}, "tags": {"type": "string"}, "fingerprint": {"type": "string"}, "id": {"type": "null"}, "... |
8ef1f9eb-9070-469f-81be-29b2f676fd61/58dc518c-7ca4-4ad0-8cb6-44b587da417d/0/0 | Keyword Extraction | Keyword extraction API - MULTILANGUAGE provides most relevant keywords to the text which would be useful in getting insights, knowledge about the text, meaningful context etc. There are numerous languages this particular api supports. Fuzzy selection is implemented where multiple Algorithms/approaches work to select be... | 7.7 | Keyword Extraction for text | Send text and no of required max keywords in the API.
Give proper text as input. | 200 | New Example | {"key1": "value", "key2": "value"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"key1": {"type": "string"}, "key2": {"type": "string"}}, "required": ["key1", "key2"]} |
ac296abd-83ae-4f9f-af4a-13b7ccf21031/303a284c-4d76-4b51-9ebc-f6837b0d6394/0/0 | DeSpam Spam Filter | State of the art spam filtering apis with spam score. Despam strives to remain carbon neutral at the same time without compromising with the results of our API. | null | Spam Filter | Provide the input in json and it will return spamProabability in the response. | 200 | New Example | {"isSpam": true, "spamProbability": 0.61} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"isSpam": {"type": "boolean"}, "spamProbability": {"type": "number"}}, "required": ["isSpam", "spamProbability"]} |
e10d65a8-427a-4f06-b1e0-d632ac021f48/11f085b7-891c-4e0a-bfa9-88155e61b71f/0/0 | Skill Ranking | Skill Ranking is an API that is used to rank the skills as per the weightage. | null | Resume Skill Ranking | Resume Skill Ranking is an API that is used to rank the skills within the resume as per the weightage and return the skill list along with the weightage. | 200 | New Example | {"Skills": [{"Skill": "Application Programming", "Score": "35.42"}, {"Skill": "Software Services", "Score": "35.42"}, {"Skill": "Programming", "Score": "35.42"}, {"Skill": "Saas", "Score": "35.42"}, {"Skill": "Coding", "Score": "35.42"}, {"Skill": "Interpreting Medical Research", "Score": "29.08"}, {"Skill": "Market Re... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"Skills": {"type": "array", "items": {"type": "object", "properties": {"Skill": {"type": "string"}, "Score": {"type": "string"}}, "required": ["Score", "Skill"]}}}, "required": ["Skills"]} |
e10d65a8-427a-4f06-b1e0-d632ac021f48/7e635cc7-35ef-4fb8-969c-87698fcac3ba/0/0 | Skill Ranking | Skill Ranking is an API that is used to rank the skills as per the weightage. | null | JD Skill Ranking | JD Skill Ranking is an API that is used to rank the skills within the job description as per the weightage and return the skill list along with the weightage. | 200 | New Example | {"Skills": [{"Skill": "SOFTWARE DEVELOPMENT", "Score": "82.00"}, {"Skill": "Software Development Life Cycle", "Score": "82.00"}, {"Skill": "Core Java", "Score": "80.00"}, {"Skill": "Multithreading", "Score": "80.00"}, {"Skill": "Spring", "Score": "80.00"}, {"Skill": "Automation Testing", "Score": "76.88"}, {"Skill": "A... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"Skills": {"type": "array", "items": {"type": "object", "properties": {"Skill": {"type": "string"}, "Score": {"type": "string"}}, "required": ["Score", "Skill"]}}}, "required": ["Skills"]} |
ac288311-037e-429c-b42f-3937c3124019/ae211be3-55e8-4793-9e2e-0672113bbd04/0/0 | Paraphrase Genius | No word/character limit: ✓
Multi-language input: ✓
Multiple sentences per input: ✓
Average under 2s response times: ✓
State-of-the-art paraphrasing: ✓
Tailoring API's responses to suit your needs: ✓
Hidden Limitations: ⨉
Need to paraphrase your text and get multiple paraphrased sentences per sentence? Look no further! ... | 9.7 | Paraphrase | This is the default paraphrase endpoint. | 200 | Multiple Results | [["Using pre-existing functional blocks, RapidAPI is a backend development platform that enables app and web developers to build the backend for their applications.", "A backend development platform called RapidAPI enables app and web developers to build the backend for their applications using pre-existing functional ... | {"$schema": "http://json-schema.org/schema#", "type": "array", "items": {"type": "array", "items": {"type": "string"}}} |
ac288311-037e-429c-b42f-3937c3124019/ae211be3-55e8-4793-9e2e-0672113bbd04/0/1 | Paraphrase Genius | No word/character limit: ✓
Multi-language input: ✓
Multiple sentences per input: ✓
Average under 2s response times: ✓
State-of-the-art paraphrasing: ✓
Tailoring API's responses to suit your needs: ✓
Hidden Limitations: ⨉
Need to paraphrase your text and get multiple paraphrased sentences per sentence? Look no further! ... | 9.7 | Paraphrase | This is the default paraphrase endpoint. | 200 | Single Result | ["Using pre-existing functional blocks, RapidAPI is a backend development platform that enables app and web developers to build the backend for their applications. Iddo Gino and Mickey Haslavsky founded the business on January 1, 2015, in Tel Aviv. Since then, it has received investments from angel investors such as Ma... | {"$schema": "http://json-schema.org/schema#", "type": "array", "items": {"type": "string"}} |
6ae26e73-e4d4-4d34-bb78-af9a769580bc/91b0614e-c90e-46ff-b818-35d751399197/1/0 | Text To Emotions | Text To Emotions API, a powerful text analysis tool designed to unveil the underlying emotions in any given text. This innovative API takes textual input and processes it to provide a comprehensive emotional profile with values ranging from 0 to 1, enabling a more nuanced understanding of the emotions conveyed. | 6.4 | predict_predict_emotion_post | 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": {"anyOf": [{"type": "string"}, {"type": "inte... | |
6ae26e73-e4d4-4d34-bb78-af9a769580bc/2706a248-626c-41ce-9c32-d3d6e18e8c69/1/0 | Text To Emotions | Text To Emotions API, a powerful text analysis tool designed to unveil the underlying emotions in any given text. This innovative API takes textual input and processes it to provide a comprehensive emotional profile with values ranging from 0 to 1, enabling a more nuanced understanding of the emotions conveyed. | 6.4 | predictMany_predict_emotion_many_post | 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": {"anyOf": [{"type": "string"}, {"type": "inte... | |
6ae26e73-e4d4-4d34-bb78-af9a769580bc/ea0950cc-536a-481c-87c5-1dbca6ed9330/0/0 | Text To Emotions | Text To Emotions API, a powerful text analysis tool designed to unveil the underlying emotions in any given text. This innovative API takes textual input and processes it to provide a comprehensive emotional profile with values ranging from 0 to 1, enabling a more nuanced understanding of the emotions conveyed. | 6.4 | Predict Emotions | Predict emotions for input | 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... |
6ae26e73-e4d4-4d34-bb78-af9a769580bc/ea0950cc-536a-481c-87c5-1dbca6ed9330/1/0 | Text To Emotions | Text To Emotions API, a powerful text analysis tool designed to unveil the underlying emotions in any given text. This innovative API takes textual input and processes it to provide a comprehensive emotional profile with values ranging from 0 to 1, enabling a more nuanced understanding of the emotions conveyed. | 6.4 | Predict Emotions | Predict emotions for input | 200 | Example_1 | {"predictions": [{"admiration": 0.05039341375231743, "amusement": 0.05932464450597763, "anger": 0.018408922478556633, "annoyance": 0.030141789466142654, "approval": 0.05154214799404144, "caring": 0.04556211084127426, "confusion": 0.011223535984754562, "curiosity": 0.1425555795431137, "desire": 0.03363674134016037, "dis... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"predictions": {"type": "array", "items": {"type": "object", "properties": {"admiration": {"type": "number"}, "amusement": {"type": "number"}, "anger": {"type": "number"}, "annoyance": {"type": "number"}, "approval": {"type": "number"}, "car... |
6ae26e73-e4d4-4d34-bb78-af9a769580bc/6f469d04-c297-487e-a1eb-f327dbc9a116/1/0 | Text To Emotions | Text To Emotions API, a powerful text analysis tool designed to unveil the underlying emotions in any given text. This innovative API takes textual input and processes it to provide a comprehensive emotional profile with values ranging from 0 to 1, enabling a more nuanced understanding of the emotions conveyed. | 6.4 | predict_predict_emotions___text__get | 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": {"anyOf": [{"type": "string"}, {"type": "inte... | |
6ae26e73-e4d4-4d34-bb78-af9a769580bc/9ab128fe-7b51-4aa3-a03f-8941d43102a6/1/0 | Text To Emotions | Text To Emotions API, a powerful text analysis tool designed to unveil the underlying emotions in any given text. This innovative API takes textual input and processes it to provide a comprehensive emotional profile with values ranging from 0 to 1, enabling a more nuanced understanding of the emotions conveyed. | 6.4 | predictMany_predict_emotions_many___texts__get | 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": {"anyOf": [{"type": "string"}, {"type": "inte... | |
6ae26e73-e4d4-4d34-bb78-af9a769580bc/ae15380a-2291-4b93-b3e8-8a21ee09c936/1/0 | Text To Emotions | Text To Emotions API, a powerful text analysis tool designed to unveil the underlying emotions in any given text. This innovative API takes textual input and processes it to provide a comprehensive emotional profile with values ranging from 0 to 1, enabling a more nuanced understanding of the emotions conveyed. | 6.4 | predictMany_predict_emotions_many_post | 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": {"anyOf": [{"type": "string"}, {"type": "inte... | |
6ae26e73-e4d4-4d34-bb78-af9a769580bc/8e527129-8b7d-44ee-bdf1-d1aff43c78c3/1/0 | Text To Emotions | Text To Emotions API, a powerful text analysis tool designed to unveil the underlying emotions in any given text. This innovative API takes textual input and processes it to provide a comprehensive emotional profile with values ranging from 0 to 1, enabling a more nuanced understanding of the emotions conveyed. | 6.4 | predict_predict_emotion___text__get | 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": {"anyOf": [{"type": "string"}, {"type": "inte... | |
6ae26e73-e4d4-4d34-bb78-af9a769580bc/b0f6da65-27ff-48c1-be2b-e664be5553e6/1/0 | Text To Emotions | Text To Emotions API, a powerful text analysis tool designed to unveil the underlying emotions in any given text. This innovative API takes textual input and processes it to provide a comprehensive emotional profile with values ranging from 0 to 1, enabling a more nuanced understanding of the emotions conveyed. | 6.4 | predictMany_predict_emotion_many___texts__get | 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": {"anyOf": [{"type": "string"}, {"type": "inte... | |
80fdc577-ef7d-42c5-9f3a-bfa6d908e319/d05bc955-5411-4312-a191-ec0bc2c422bc/0/0 | Text Similarity Checker | Comparison of similarity between two texts using popular algorithms. | 6.8 | check_similarity | Please provide "Text 1" and "Text 2" for the comparison. | 200 | New Example | {"text_as_is": {"cosine_similarity": 0.5788825817770245, "jaccard_similarity": 0.2702702702702703, "fuzzy_ratio": 60, "levenshtein_distance": 421}, "without_stopwords": {"cosine_similarity": 0.33715035698790374, "jaccard_similarity": 0.2736842105263158, "fuzzy_ratio": 59, "levenshtein_distance": 344}, "lemmatized_text_... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"text_as_is": {"type": "object", "properties": {"cosine_similarity": {"type": "number"}, "jaccard_similarity": {"type": "number"}, "fuzzy_ratio": {"type": "integer"}, "levenshtein_distance": {"type": "integer"}}, "required": ["cosine_similar... |
67dd69f0-5727-41f8-8ab0-6c11f8ce121a/87117ea6-acb2-4ea4-a76c-d65d429247ec/0/0 | Webit Text Analytics | FREE. Sentiment, Entities, Language, Similarity, Key Phrases, Text Comparisons. | 8.2 | Similarity | Compares two strings by using a sophisticated set of AI algorithms and returns the similarity score between the two strings. | 200 | Response | {"data": {"similarity": 0.668939393939394}, "message": null, "status": "success"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"data": {"type": "object", "properties": {"similarity": {"type": "number"}}, "required": ["similarity"]}, "message": {"type": "null"}, "status": {"type": "string"}}, "required": ["data", "message", "status"]} |
67dd69f0-5727-41f8-8ab0-6c11f8ce121a/08c95704-4a68-4a05-ba53-5d2f15511653/0/0 | Webit Text Analytics | FREE. Sentiment, Entities, Language, Similarity, Key Phrases, Text Comparisons. | 8.2 | Key Phrases | Key phrases extraction allows for quickly identifying the main concepts in a text. | 200 | Response | {"data": {"key_phrases": ["catania", "city", "eastern coast", "sicily", "foot", "mount etna", "biggest volcano", "europe", "seventh largest city", "italy", "metropolitan area reaching", "million inhabitants", "major transport hub", "economic centre", "university city", "enjoy", "busy downtown", "active nightlife", "bar... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"data": {"type": "object", "properties": {"key_phrases": {"type": "array", "items": {"type": "string"}}}, "required": ["key_phrases"]}, "message": {"type": "null"}, "status": {"type": "string"}}, "required": ["data", "message", "status"]} |
67dd69f0-5727-41f8-8ab0-6c11f8ce121a/0e1353f3-1d07-4bd5-a706-8219580a767a/0/0 | Webit Text Analytics | FREE. Sentiment, Entities, Language, Similarity, Key Phrases, Text Comparisons. | 8.2 | Match | Compares a string with an array of strings and does an AI affinity comparison to find the closest matches. | 200 | Response | {"data": {"matches": [{"match": "pasta", "score": 1}, {"match": "hasta", "score": 0.8}, {"match": "pasties", "score": 0.57}, {"match": "pizza", "score": 0.4}]}, "message": null, "status": "success"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"data": {"type": "object", "properties": {"matches": {"type": "array", "items": {"type": "object", "properties": {"match": {"type": "string"}, "score": {"type": "number"}}, "required": ["match", "score"]}}}, "required": ["matches"]}, "messag... |
67dd69f0-5727-41f8-8ab0-6c11f8ce121a/d2416c52-fba8-43e6-83b3-2a7d1f658014/0/0 | Webit Text Analytics | FREE. Sentiment, Entities, Language, Similarity, Key Phrases, Text Comparisons. | 8.2 | Sentiment | Analyzes the sentiment of an input text and detects positivity, negativity and neutrality of such a string. | 200 | Response | {"data": {"score": 0.75, "sentiment": "positive"}, "message": null, "status": "success"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"data": {"type": "object", "properties": {"score": {"type": "number"}, "sentiment": {"type": "string"}}, "required": ["score", "sentiment"]}, "message": {"type": "null"}, "status": {"type": "string"}}, "required": ["data", "message", "status... |
67dd69f0-5727-41f8-8ab0-6c11f8ce121a/028656b0-0283-46e3-b44b-70e9634cf4fd/0/0 | Webit Text Analytics | FREE. Sentiment, Entities, Language, Similarity, Key Phrases, Text Comparisons. | 8.2 | Detect Languages | Detects the language of an input text. Supports 100+ languages. | 200 | Response | {"status": "success", "data": {"input_text": "\u4f60\u597d! \u4f60\u597d\u5417? \u0643\u064a\u0641 \u062d\u0627\u0644\u0643\u061f Neural recognition can detect multiple languages at the same time!", "languages": [{"language": "en", "confidence": 0.9946622848510742, "is_reliable": true, "proportion": 0.656862735748291},... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"status": {"type": "string"}, "data": {"type": "object", "properties": {"input_text": {"type": "string"}, "languages": {"type": "array", "items": {"type": "object", "properties": {"language": {"type": "string"}, "confidence": {"type": "numbe... |
53aa5080e4b07e1f4ebeb407/53aa5081e4b0a798dbd1a5e9/0/0 | Topic Tagging | Automatically generate topics and keywords for articles and blogs. | 9.2 | Generate (get) | Detect and generate human like topics to the given text. | 200 | Response | {"author": "twinword inc.", "email": "help@twinword.com", "keyword": {"cell": 1, "compute": 2, "computer": 4, "design": 1, "information": 2, "memory": 1, "science": 2, "structure": 2, "study": 2, "transcribe": 1}, "result_code": "200", "result_msg": "Success", "topic": {"art": 0.20782122905028, "biology": 0.18472998137... | {"properties": {"author": {"type": "string"}, "email": {"format": "email", "type": "string"}, "keyword": {"properties": {"alternate": {"type": "integer"}, "biological": {"type": "integer"}, "cell": {"type": "integer"}, "compute": {"type": "integer"}, "computer": {"type": "integer"}, "gene": {"type": "integer"}, "inform... |
53aa5080e4b07e1f4ebeb407/53aa5081e4b0a9b1348da674/0/0 | Topic Tagging | Automatically generate topics and keywords for articles and blogs. | 9.2 | Generate (post) | Detect and generate human like topics to the given text. | 200 | Response | {"author": "twinword inc.", "email": "help@twinword.com", "keyword": {"cell": 1, "compute": 2, "computer": 4, "design": 1, "information": 2, "memory": 1, "science": 2, "structure": 2, "study": 2, "transcribe": 1}, "result_code": "200", "result_msg": "Success", "topic": {"art": 0.20782122905028, "biology": 0.18472998137... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"author": {"type": "string"}, "email": {"type": "string"}, "keyword": {"type": "object", "properties": {"cell": {"type": "integer"}, "compute": {"type": "integer"}, "computer": {"type": "integer"}, "design": {"type": "integer"}, "information... |
2facf127-0774-4e6b-9b3e-86eaead8d2c7/8e84f9c6-44f9-4131-b213-2a421ca8164a/0/0 | Fastest Spell Checker API | Should you require a reliable and efficient means of verifying the accuracy of your textual content, our Spell Checker API is a commendable option. Recently updated to ensure it's precision and currency, it presents JSON responses that can be easily integrated into your existing workflow. | 7.1 | Spell Check Beta | Spell Check with our beta version | 200 | New Example | {"corrected_text": "This ssentenceccontainsspspellinggrgrammaramistakestionoin mistkes.", "corrections": [{"correction": "This", "length": 5, "message": "Possible spelling mistake found.", "offset": 0, "word": "Thiss"}, {"correction": "sentence", "length": 8, "message": "Possible spelling mistake found.", "offset": 6, ... | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"corrected_text": {"type": "string"}, "corrections": {"type": "array", "items": {"type": "object", "properties": {"correction": {"type": "string"}, "length": {"type": "integer"}, "message": {"type": "string"}, "offset": {"type": "integer"}, ... |
2facf127-0774-4e6b-9b3e-86eaead8d2c7/c935ce19-b8b6-4032-90e2-e80e817a7de6/0/0 | Fastest Spell Checker API | Should you require a reliable and efficient means of verifying the accuracy of your textual content, our Spell Checker API is a commendable option. Recently updated to ensure it's precision and currency, it presents JSON responses that can be easily integrated into your existing workflow. | 7.1 | Spell Check | Spell Check | 200 | New Example | {"corrected_text": "This is a sample text to demonstrate the spell check API. Sheer are some spelling errors inn this text.", "input_length": 108, "issues": [{"corrected": "His", "word": "This"}, {"corrected": "sample", "word": "samplee"}, {"corrected": "text", "word": "textt"}, {"corrected": "demonstrate", "word": "de... | {"type": "object", "properties": {"corrected_text": {"type": "string"}, "input_length": {"type": "integer"}, "issues": {"type": "array", "items": {"type": "object", "properties": {"corrected": {"type": "string"}, "word": {"type": "string"}}}}, "original_text": {"type": "string"}, "success": {"type": "boolean"}}} |
5155f846-9c51-4427-8bb0-49a592c9916d/da0898e3-580d-44c6-9e4f-f6057ca1b1b7/0/0 | Entity and Sentiment Extractor | Multilingual Sentiment, Entity extraction, and disambiguation for cheap and at a scale.
Entity (Person, Organization, Address, Price, etc) extraction, disambiguation, and resolution to a wiki page. | 6.7 | /Entity : Non English Entity Recognition | Currently supports the following major languages:
Chinese, English, French, German, Italian, Japanese, Korean, Portuguese, Russian, Spanish which correspond to the following lang_code
['zh', 'zh-Hant', 'en', 'fr', 'de', 'it', 'ja', 'ko', 'pt', 'ru', 'es'] | 200 | Response | [{"name": "Apple", "type": "ORGANIZATION", "salience": 0.38609597086906433, "start_offset": 0, "end_offset": 5, "entity_url": "https://en.wikipedia.org/wiki/Apple_Inc."}, {"name": "\u4eba", "type": "PERSON", "salience": 0.3363187611103058, "start_offset": 9, "end_offset": 10}, {"name": "\u516c\u53f8", "type": "ORGANIZA... | {"$schema": "http://json-schema.org/schema#", "type": "array", "items": {"type": "object", "properties": {"name": {"type": "string"}, "type": {"type": "string"}, "salience": {"type": "number"}, "start_offset": {"type": "integer"}, "end_offset": {"type": "integer"}, "entity_url": {"type": "string"}}, "required": ["end_o... |
ea290e90-c65b-487f-9299-618080965183/d5d931f4-d1d1-4d9a-ba62-f151ee12e207/0/0 | Sentiment Analysis | Detect if text is positive, negative or neutral. | null | analyze | Detect if text if positive, negative or neutral. | 200 | Response | {"sentiment": "positive"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"sentiment": {"type": "string"}}, "required": ["sentiment"]} |
306a7109-6c6e-45e8-b72d-38b21c15136e/fcaebd70-39fe-4b1d-a818-b7421defe8f0/0/0 | GerVADER | GerVADER is a German adaptation of the sentiment classification tool VADER | 7.6 | v1 | German sentence sentiment classification. | 200 | New Example | {"ratings": {"compound": 0.8436, "neg": 0, "neu": 0.248, "pos": 0.752}, "sentence": "dieses produkt ist hervorragend, absolute empfehlung!!", "sentiment": "positive"} | {"type": "object", "properties": {"ratings": {"type": "object", "properties": {"compound": {"type": "number"}, "neg": {"type": "integer"}, "neu": {"type": "number"}, "pos": {"type": "number"}}}, "sentence": {"type": "string"}, "sentiment": {"type": "string"}}} |
d7971cd3-5bff-4fc0-ae3a-477c1f9e113a/e3df040d-2ed7-4205-ac69-7e9e75e4b034/0/0 | Words Definitions, Dictionary And Data API | Get word definitions, Dictionary, and all the data about the particular word.
Get deep and more accurate data about the particular word.
It is the best word data API at a very reasonable price. | 6.7 | Word Definations | Word Definations | 200 | New Example | [{"word": "going", "phonetic": "/\u02c8\u0261\u0259\u028a\u026a\u014b/", "phonetics": [{"text": "/\u02c8\u0261\u0259\u028a\u026a\u014b/", "audio": ""}, {"text": "/\u02c8\u0261o\u028a\u026a\u014b/", "audio": "https://api.dictionaryapi.dev/media/pronunciations/en/going-us.mp3", "sourceUrl": "https://commons.wikimedia.org... | {"type": "array", "items": {"type": "object", "properties": {"word": {"type": "string"}, "phonetic": {"type": "string"}, "phonetics": {"type": "array", "items": {"type": "object"}}, "meanings": {"type": "array", "items": {"type": "object", "properties": {"partOfSpeech": {"type": "string"}, "definitions": {"type": "arra... |
fd1b0626-a9fd-489a-9406-24381c4affb9/18931b5e-6294-47cf-8943-e6b7d90e7740/0/0 | Generate Questions from Text | This API will help you generate questions from text using AI. For now, only English is supported, other languages will be supported soon. | 6.1 | Generate Questions from Text | Generate Questions from Text
This endpoint will help you generate questions from English text.
Request Body
"context": must be more than 10 characters and less than 1000 characters.
| 200 | Response | ["Quetab is a modern ai-driven platform to what?"] | {"$schema": "http://json-schema.org/schema#", "type": "array", "items": {"type": "string"}} |
5ebd7d86-a817-480e-956e-3407dcc528a8/6b59bbc1-14bc-4ca9-9ab6-e573c1fa8dee/0/0 | Senti Level AI | AI service to flag positive or negative sentiment from any text source such as tweets, reviews, and chat logs. | null | wrt_transformer | Returns a label saying if the sentiment is positive or negative. | 200 | Response | {"result": "positive"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"result": {"type": "string"}}, "required": ["result"]} |
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