{"uid":"cap_wOPoTEw0jpbyr47hMk7Ot","slug":"manylives-ai-named-entity-recognition-8c2e7f92","name":"ManyLives AI Named Entity Recognition","description":"Pay-per-call tools for people building AI agents: live web search and page contents, point-in-time crypto market data and news for backtests (no lookahead), verifiable track records of 1,000 crypto strategies locked on the Base network, company profiles, quick AI and batch prices. Ask us to turn a public website into a JSON endpoint. Pay per call, no account, free trial.","url":"https://api.manylives.me/paid/text/entities?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"text":{"type":"string","examples":["On 3 March 2026 Acme Pty Ltd in Sydney paid Jane Citizen AUD 5,000 for the Falcon X1 drone."],"description":"the text (required, max 20,000 chars)"}}},"responseSchema":{"type":"json","example":{"entities":[{"text":"Acme Pty Ltd","type":"organisation","count":2}]}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","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":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_tt6ZDc8EczAnEQbpYaJVe","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","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, organisations, dates, locations, amounts, and more) from a block of text, returning each entity's text, type, and occurrence count.","exampleAgentPrompt":"Pull out all the named entities from this text — 'On 3 March 2026 Acme Pty Ltd in Sydney paid Jane Citizen AUD 5,000 for the Falcon X1 drone' — and tell me each entity's type and how many times it appears.","exampleUseCases":[{"title":"Entity extraction from financial contracts","prompt":"I have this contract clause: 'On 15 January 2026 GlobalTech Inc in New York wired USD 250,000 to Dr. Maria Santos for consulting services.' Can you extract all the named entities from it and tell me their types?"},{"title":"Identifying companies in news articles","prompt":"Here's a paragraph from a news article: 'Apple Inc and Samsung Electronics both announced record revenues in Q1 2026, according to CEO Tim Cook and CFO Jung-Bae Son respectively, speaking in Cupertino.' Extract every organisation and person mentioned."},{"title":"Parsing entities from trading signals","prompt":"I have this trading alert text: 'BlackRock increased its stake in Tesla Inc on 20 February 2026 to USD 4.2 billion, reported by analyst John Kim at Goldman Sachs.' Can you find all the entities — companies, people, dates, and amounts?"}],"resultDescription":"A JSON object with an 'entities' array. Each element contains the matched entity text (e.g. 'Acme Pty Ltd'), its semantic type (e.g. 'organisation', 'person', 'date', 'location', 'amount'), and an integer count of how many times that entity appears in the input text.","failureModes":["Text exceeds 20,000 character limit — request rejected or truncated","Empty or missing 'text' field returns an error or empty entities array","Ambiguous entity types may be misclassified (e.g. a person name matching a place name)","Payment failure via x402 protocol returns 402 status before processing begins","Very short or highly abbreviation-heavy text may yield few or no entities"],"whenToPreferThis":"Choose this endpoint when you need lightweight, pay-per-call named entity extraction without creating an account or managing a subscription. It is well-suited for AI agents processing financial documents, contracts, trading signals, or news articles that already operate in a crypto-payment (USDC/Base) environment. Prefer it over heavier NLP APIs when you need quick entity tagging at low per-call cost and when you are already integrated into the ManyLives ecosystem for trading or on-chain tools.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-10T12:42:38.243Z","isFirstParty":false,"canonicalSlug":"manylives-ai-named-entity-recognition-8c2e7f92"}