{"uid":"cap_W5wfgECgV_Dp_4CStPkpD","slug":"allthebot-keywords-entities-extractor-27a81afc","name":"AllTheBot Keywords & Entities Extractor","description":"Keyword extraction and named entity recognition (NER): people, organizations, locations, dates, money, products. Any language, JSON output.","url":"https://velux.taild4d007.ts.net:8443/x402/entities?utm_source=zero.xyz","method":"GET","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input"],"properties":{"input":{"type":"object","required":["type","method"],"properties":{"type":{"type":"string","const":"http"},"method":{"enum":["GET","HEAD","DELETE"],"type":"string"},"queryParams":{"type":"object","required":["text"],"properties":{"text":{"type":"string","maxLength":6000}}}},"additionalProperties":false},"output":{"type":"object","required":["type"],"properties":{"type":{"type":"string"},"example":{"type":"object","properties":{"result":{"type":"object"}}}}}}},"responseSchema":{"type":"json","example":{"result":{"entities":[{"text":"Airbus","type":"organization"}],"keywords":["Airbus"]}}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.007","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.007/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.007","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.007","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_sz7H_cqb-HbG54DV8F6ZL","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.007","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Extracts named entities (people, organizations, locations, etc.) and keywords from a block of text using AI","exampleAgentPrompt":"Pull all named entities and keywords from this text: 'Airbus and Boeing announced a joint venture in Seattle last Monday, according to CEO Guillaume Faury.'","exampleUseCases":[{"title":"Entity tagging for news articles","prompt":"Extract all the people, organizations, and locations mentioned in this paragraph from a Reuters article: 'Apple CEO Tim Cook met with European Commission President Ursula von der Leyen in Brussels to discuss digital market regulations.'"},{"title":"Keyword extraction for SEO analysis","prompt":"What are the main keywords and named entities in this product description I want to optimize for search: 'The new Tesla Model S Plaid features a tri-motor all-wheel-drive system developed at the Fremont factory in California.'"},{"title":"Contract party identification","prompt":"Identify all organizations and key terms in this contract clause: 'This agreement is entered into between Goldman Sachs Group Inc., a Delaware corporation, and Stripe Inc., headquartered in San Francisco, California.'"}],"resultDescription":"A JSON object with two fields: 'entities' (an array of objects each containing 'text' and 'type' such as organization, person, or location) and 'keywords' (an array of keyword strings found in the input text).","failureModes":["Text exceeds 6000 character limit — request rejected or truncated","Ambiguous or very short text may yield empty entities and keywords arrays","Payment failure in USDC on Base will result in 402 error before processing","Non-English or mixed-language text may produce lower-quality entity recognition","Highly domain-specific jargon may not be recognized as named entities"],"whenToPreferThis":"Choose this endpoint when you need to extract structured named entities (with type labels) and keywords from unstructured text in a single low-cost call ($0.007 USDC), without needing an API key or account setup. Ideal for agents that process news, documents, or user-generated content and need to identify key actors, organizations, or topics on-demand. Prefer over heavier NLP pipelines when speed, cost, and zero-setup are priorities.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-10T00:46:34.018Z","isFirstParty":false,"canonicalSlug":"allthebot-keywords-entities-extractor-27a81afc"}