{"uid":"cap_ThMrksuIwiQ4ZoohIbQgi","slug":"nova-ai-inference-api-structured-data-extraction-22fb45a6","name":"Nova AI Inference API — Structured Data Extraction","description":"Pay-per-call AI inference. Chat, reason, translate, analyze, generate. USDC on Base.","url":"https://nuvo.orbonomy.xyz/api/extract","method":"POST","headers":{},"bodySchema":{"type":"object","required":["text"],"properties":{"text":{"type":"string","description":"Text to extract data from"},"schema":{"type":"object","description":"Expected output schema"},"instructions":{"type":"string","description":"Additional extraction instructions"}}},"responseSchema":{"type":"object","properties":{"data":{"type":"object","properties":{"model":{"type":"string"},"usage":{"type":"object"},"extracted":{"type":"object"},"confidence":{"type":"number"}}},"meta":{"type":"object"},"success":{"type":"boolean"}}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.1","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":"$0.1/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.1","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.1","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_JvQvntfvjNQB4TfYTljfQ","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.1","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Extracts structured data from arbitrary text using AI inference, returning typed fields with confidence scores, paid per-call in USDC on Base.","exampleAgentPrompt":"Extract the following fields from this job posting text — job title, company name, salary range, and location — and return them as structured data with a confidence score: 'Senior Software Engineer at Acme Corp, offering $150k–$180k based in New York, NY.'","exampleUseCases":null,"resultDescription":"Returns a JSON object containing an `extracted` object with the structured fields matching the provided schema, a `confidence` score (0–1) indicating extraction reliability, the `model` used, and token `usage` stats, plus a `success` boolean and metadata envelope.","failureModes":["Missing required `text` field returns validation error","Ambiguous or contradictory schema causes low-confidence or partial extraction","Payment failure or insufficient USDC balance returns 402 payment required","Very long text may exceed model context limits","Output schema too complex for the model to reliably populate"],"whenToPreferThis":"Choose this endpoint when you need to extract typed, structured data from unstructured text and want a confidence score on the result. Ideal when you have a known output schema and need reliable field-level extraction rather than open-ended generation. Prefer over generic LLM chat endpoints when structured JSON output with schema adherence and per-call USDC micropayment billing is required.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T00:41:15.026Z","isFirstParty":false}