{"uid":"cap_VnWX6WimYX4e5SqDID66t","slug":"inference402-extract-named-entity-field-extraction-5e6bfab9","name":"Inference402 Extract – Named Entity & Field Extraction","description":"Pay-per-call AI inference for agents: chat (Llama 3.3 70B / 3.1 8B), structured JSON, summarize, translate (incl. Egyptian Arabic), extract, classify, sentiment, keywords, rewrite, embeddings, moderation, vision and speech-to-text. USDC on Base mainnet over x402. No API key, no account.","url":"https://inference402.worlddata402.workers.dev/v1/extract?utm_source=zero.xyz","method":"GET","headers":{},"bodySchema":{"type":"object","properties":{"text":{"type":"string","maxLength":8000},"fields":{"type":"array","items":{"type":"string","maxLength":64},"maxItems":20,"minItems":1,"description":"Field names to extract, e.g. names, dates, amounts, organizations, locations, emails, or custom like invoice_number"}}},"responseSchema":{"type":"json","example":{"data":{"dates":["2026-03-02"],"names":["Omar Khaled"],"amounts":["EGP 12,500"],"organizations":["Nile Tech LLC"],"invoice_number":["4471"]},"model":"@cf/meta/llama-3.3-70b-instruct-fp8-fast"}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.008","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":"$0.008/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.008","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.008","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_Z8JUW-N-zjl1ZGfqlQFnA","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.008","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Extracts specified named fields (dates, names, amounts, organizations, custom fields, etc.) from free-form text using Llama 3.3 70B, paid per-call in USDC via x402","exampleAgentPrompt":"Extract the invoice number, dates, amounts, and organization names from this text: 'Invoice #4471 dated 2026-03-02 from Nile Tech LLC for EGP 12,500, billed to Omar Khaled.'","exampleUseCases":[{"title":"Invoice data extraction for accounting","prompt":"Pull the invoice number, amounts, dates, and vendor name out of this scanned invoice text: 'Invoice #7821 issued 2025-11-15 by Apex Supplies Co. Total due: $3,400. Client: Jordan Reeves.'"},{"title":"Contract party and date parsing","prompt":"From this contract snippet, extract all person names, organization names, and dates mentioned: 'This agreement is entered into on January 10, 2025 between GlobalEdge Partners LLC and Sarah Nkrumah, represented by Thornton & Associates.'"},{"title":"Support ticket entity extraction","prompt":"I need you to extract any email addresses, product names, and dates from this customer support message: 'Hi, I bought the ProMax 3000 on March 5th and my account email is user@example.com. Still no refund!'"}],"resultDescription":"A JSON object with a `data` key containing arrays of extracted values keyed by each requested field name (e.g. dates, names, amounts, organizations, invoice_number), plus a `model` field indicating the Llama model used for extraction.","failureModes":["Text exceeds 8000 character limit — request will be rejected or truncated","Empty or missing `fields` array — no extraction targets specified","Requested fields not present in text — returns empty arrays for those keys","Model hallucination — LLM may infer plausible but incorrect values for ambiguous text","Payment failure via x402 — USDC balance insufficient or Base mainnet transaction error","Rate limiting or Cloudflare Worker timeout on very long processing"],"whenToPreferThis":"Choose this endpoint when you need to pull specific named fields from unstructured or semi-structured text without writing custom regex or NLP pipelines. It is ideal for invoice parsing, contract analysis, form data extraction, and any scenario where you need flexible, LLM-powered field extraction on a pay-per-call basis with no API key or account setup. Prefer this over general chat endpoints when the task is purely extraction into a structured JSON output.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:35:58.810Z","isFirstParty":false,"canonicalSlug":"inference402-extract-named-entity-field-extraction-5e6bfab9"}