{"uid":"cap_lCm0IBt3P4HFjWqEMAcNO","slug":"entropy-rip-schema-transducer-425f8176","name":"ENTROPY.RIP Schema Transducer","description":"Transform raw unstructured context into schema-enforced JSON using LLM Structured Outputs","url":"https://entropy.rip/api/schema/transduce","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"schema":{"type":"object","description":"schema"},"content":{"type":"string","description":"content"}}},"responseSchema":{"type":"json","example":{"structured_data":{"extracted_name":"example"}}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.05","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":"$0.05/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.05","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.05","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_tCiKy3aMLu79yCLIDlANi","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.05","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Transforms raw unstructured text content into structured, schema-enforced JSON using LLM Structured Outputs","exampleAgentPrompt":"Take this raw customer feedback paragraph and extract it into structured JSON using this schema: {\"name\": \"string\", \"sentiment\": \"string\", \"issues\": [\"string\"], \"rating\": \"number\"} — here's the text: 'Hi I'm Jane, the checkout was broken and delivery took 3 weeks, I'd give it a 2 out of 10.'","exampleUseCases":[{"title":"Parse job posting into structured data","prompt":"I have a raw job posting I scraped from a website and I need it turned into structured JSON with fields like job_title, company, location, salary_range, required_skills, and employment_type. Here's the posting text: 'Acme Corp is looking for a full-time Senior Backend Engineer in Austin, TX. You'll need 5+ years with Python and AWS. Salary is $130k–$160k depending on experience.'"},{"title":"Extract invoice details from email","prompt":"Can you pull the key details out of this email from a vendor and structure it as JSON with fields for vendor_name, invoice_number, due_date, line_items (array of description and amount), and total_amount? Here's the email body: 'Hi, please find attached invoice #4821 from BlueSky Supplies dated Nov 1st. You owe $240 for 4 reams of paper and $85 for printer ink, total $325, due by November 30th.'"},{"title":"Structure medical intake form responses","prompt":"A patient filled out their intake form as a block of free-form text and I need it converted into structured JSON matching this schema: {\"patient_name\": \"string\", \"date_of_birth\": \"string\", \"chief_complaint\": \"string\", \"current_medications\": [\"string\"], \"allergies\": [\"string\"]}. Here's what they wrote: 'My name is Robert Chen, born March 4 1978. I've been having chest tightness for two days. I take metformin and lisinopril daily. I'm allergic to penicillin and sulfa drugs.'"}],"resultDescription":"A JSON object that conforms exactly to the provided schema, populated with values extracted and inferred from the input unstructured content using LLM Structured Outputs. Fields are typed and validated against the schema.","failureModes":["Schema is invalid or malformed JSON — returns error indicating schema parse failure","Content is too long or exceeds token limits — may return truncation or context error","Schema fields cannot be inferred from the content — may return null/empty values for unmappable fields","Downstream LLM unavailable — returns 503 or timeout error","Payment not processed or insufficient USDC balance — returns 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you have a known target JSON schema and raw unstructured text that needs to be shaped into it — ideal for parsing documents, emails, user inputs, or any natural language context into typed structured data. Prefer this over generic LLM calls when you need guaranteed schema conformance rather than freeform text output.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T21:19:50.172Z","isFirstParty":false}