{"slug":"netintel-dev-schema-parse-extract-0f6239","title":"Extract structured data from any unstructured text into your own JSON Schema — s","host":"netintel.dev","method":"POST","resource":"https://netintel.dev/schema-parse/extract","category":"code","description":"Extract structured data from any unstructured text into your own JSON Schema — structured-data / information extraction, text-to-JSON, LLM data enrichment. You supply the schema; the LLM returns a matching object. Works for contacts, invoices, events, product specs, medical records, legal clauses, r","price_listed":0.01,"price_asked":0.01,"state":"answering","state_label":"Answering","checks_7d":1,"answered_7d":1,"latency_ms_median":922,"reported_calls_30d":4,"reported_payers_30d":2,"networks":["eip155:8453","solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp"],"badge":"unverified","paid_checks_7d":0,"paid_ok_7d":0,"example_input":{"body":{"raw_text":"Hi I'm Sarah Chen, VP of Engineering at Acme Corp. Reach me at sarah.chen@acme.com or 555-867-5309.","target_schema":{"properties":{"company":{"type":"string"},"email":{"type":"string"},"name":{"type":"string"},"phone":{"type":"string"},"role":{"type":"string"}},"required":["name","email"],"type":"object"}},"bodyType":"json","method":"POST","type":"http"},"output_schema":{"$schema":"https://json-schema.org/draft/2020-12/schema","properties":{"input":{"additionalProperties":false,"properties":{"body":{"properties":{"raw_text":{"description":"Unstructured text to extract data from — emails, resumes, articles, log entries, contracts, support tickets, etc.","type":"string"},"target_schema":{"description":"A standard JSON Schema object with type, properties, and optionally required. Defines the shape of the extracted output.","type":"object"}},"required":["raw_text","target_schema"],"type":"object"},"bodyType":{"enum":["json","form-data","text"],"type":"string"},"method":{"enum":["POST"],"type":"string"},"type":{"const":"http","type":"string"}},"required":["type","method","bodyType","body"],"type":"object"},"output":{"properties":{"example":{"properties":{"extracted":{"description":"Structured data conforming to the caller's target_schema. Missing fields are omitted or null.","type":"object"},"tokens_used":{"description":"LLM token consumption for this extraction","properties":{"input":{"description":"Prompt tokens consumed","type":"number"},"output":{"description":"Completion tokens consumed","type":"number"}},"type":"object"}},"type":"object"},"type":{"type":"string"}},"required":["type"],"type":"object"}},"required":["input"],"type":"object"},"history":[{"day":"2026-09-24","reachable":true,"status":402,"valid_402":true,"asked_usdc":0.01,"price_match":true,"latency_ms":922,"error":null}],"description_full":"Extract structured data from any unstructured text into your own JSON Schema — structured-data / information extraction, text-to-JSON, LLM data enrichment. You supply the schema; the LLM returns a matching object. Works for contacts, invoices, events, product specs, medical records, legal clauses, resumes — any shape. Returns the extracted object plus token usage; unfound fields are omitted or null.","last_updated":"2026-09-09T13:49:48.827Z","schemes":["exact"]}