{"uid":"cap_1k2sz9BxLApDPdICRhK6E","slug":"pagos-andreax-dev-ner-entity-extraction-cd902e27","name":"pagos.andreax.dev NER Entity Extraction","description":"Extracción de entidades (NER) como JSON. input=texto.","url":"https://pagos.andreax.dev/api/taller/peaje/entidades","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":["input"],"properties":{"input":{"type":"string","description":"texto"}}}},"additionalProperties":false},"output":{"type":"object","required":["type"],"properties":{"type":{"type":"string"},"example":{"type":"object"}}}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.003","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":"$0.003/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.003","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.003","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_zIS_YNaLwI7Z99RWv67Lh","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.003","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Extracts named entities (NER) from a given text and returns them as structured JSON","exampleAgentPrompt":"Can you extract all the named entities from this text and give me the results as JSON: 'El presidente Andrés López visitó Madrid el martes para reunirse con representantes de la ONU.'","exampleUseCases":[{"title":"News article entity tagging","prompt":"Extract all the people, organizations, and locations mentioned in this news snippet: 'Elon Musk anunció que Tesla abrirá una nueva fábrica en Monterrey, México, en colaboración con el gobierno de Nuevo León.'"},{"title":"Customer support ticket enrichment","prompt":"I need you to pull out any named entities — company names, people, and locations — from this support ticket text so I can route it to the right team: 'El cliente Juan García de Banco Santander reporta un problema desde su oficina en Bogotá.'"},{"title":"Contract party identification","prompt":"Identify and extract all the named entities (parties, places, organizations) from this contract clause and return them as structured JSON: 'Este acuerdo es celebrado entre Grupo Financiero Banamex S.A. y la empresa Tech Solutions de Guadalajara.'"}],"resultDescription":"A JSON object containing the named entities found in the input text, typically including entity text spans, entity types (e.g. PERSON, ORGANIZATION, LOCATION, DATE), and their positions or labels within the original text.","failureModes":["Missing 'input' query parameter returns an error","Empty or blank text may return an empty entities list","Very long texts may be truncated or cause timeout","Non-text or binary input will produce unexpected results","Rate limits or payment failures return 402 errors"],"whenToPreferThis":"Choose this endpoint when you need fast, structured NER output from raw text without setting up your own NLP pipeline. Especially useful for Spanish-language text given the provider context, and when you need a pay-per-call model at low cost ($0.003/call) rather than managing a hosted model. Prefer it over general-purpose LLM inference when you specifically need entity spans and types in a consistent JSON format.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T18:35:41.798Z","isFirstParty":false}