{"uid":"cap_cuf3UVrzYaap-l9m6xfG-","slug":"blinka-machine-mouths-structured-extraction-04f80b60","name":"Blinka Machine Mouths – Structured Extraction","description":"Bounded stateless machine services plus public procurement discovery. No private Mika memory or arbitrary tool execution.","url":"https://blinka-machine-mouths.netlify.app/structure?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"text":{"type":"string","description":"Untrusted source text already in hand. Max 12,000 characters. No URLs are fetched."},"schema":{"type":"object","description":"JSON Schema the returned data must validate against."},"instruction":{"type":"string","description":"Optional extraction focus. It cannot authorize invention of facts."}}},"responseSchema":{"type":"json","example":{"ok":true,"data":{"name":"Jamie","budget_usd":250},"model":"local-structured-extractor","evidence":{"name":"Jamie emailed","budget_usd":"Budget is $250"},"retained":false,"uncertain":[]}},"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_i4rmrxUQdl3CKkExABCms","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 structured, schema-validated data from raw text using a local stateless model, with evidence citations and uncertainty flags.","exampleAgentPrompt":"Pull out the applicant name and budget from this email text and return them as JSON matching my schema — the text is: 'Hi, I'm Jamie and my project budget is $250.' Use the schema {name: string, budget_usd: number} and focus on financial and identity fields.","exampleUseCases":[{"title":"Parse procurement email into schema","prompt":"Extract the vendor name, contract value, and deadline from this procurement notice text and return it as structured JSON: 'Vendor Acme Corp is awarded a contract of $45,000 for delivery by March 31, 2025.' Use the schema {vendor: string, contract_value_usd: number, deadline: string}."},{"title":"Structure customer form submission","prompt":"I have this raw form response: 'My name is Jordan Lee, I need 500 units shipped to Austin by end of month, total spend approved is $8,200.' Extract name, units, destination, and budget_usd from it and give me the evidence for each field."},{"title":"Extract job applicant details from cover letter","prompt":"Here's a cover letter text — can you pull out the candidate's name, years of experience, and desired salary into a JSON object? Text: 'I'm Alex Rivera, with 7 years in data engineering and looking for a role around $130,000 per year.' Schema: {name: string, years_experience: number, desired_salary_usd: number}."}],"resultDescription":"Returns a JSON object with: ok (boolean), data (extracted fields validated against the provided schema), model identifier, evidence (per-field citation snippets from source text), retained (always false — stateless), and uncertain (list of fields the model could not confidently extract).","failureModes":["Source text exceeds 12,000 characters — request rejected","Extracted data fails to validate against provided schema — may return partial data or error","Field genuinely absent from source text — listed in uncertain array rather than invented","Malformed JSON Schema input — extraction fails with schema error","Ambiguous instruction leads to low-confidence fields flagged in uncertain"],"whenToPreferThis":"Choose this endpoint when you have raw text already in hand and need to reliably extract typed, schema-validated fields with evidence citations and uncertainty flags — especially when hallucination or data invention is unacceptable. Prefer it over general LLM extraction when you need stateless, reproducible, evidence-backed structured output against a strict JSON Schema. Not suitable for fetching URLs, generating new content, or tasks requiring memory or tool execution.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-11T12:30:55.577Z","isFirstParty":false,"canonicalSlug":"blinka-machine-mouths-structured-extraction-04f80b60"}