{"slug":"netintel-dev-text-to-json-84eec6","title":"Turn unstructured text into structured JSON matching a caller-supplied schema us","host":"netintel.dev","method":"POST","resource":"https://netintel.dev/text-to-json","category":"other","description":"Turn unstructured text into structured JSON matching a caller-supplied schema using Claude Haiku — the agent declares the fields and types it wants, and gets back populated JSON with values pulled from the text and coerced to the right types, so agents can structure any prose into the exact shape th","price_listed":0.05,"price_asked":0.05,"state":"answering","state_label":"Answering","checks_7d":1,"answered_7d":1,"latency_ms_median":920,"reported_calls_30d":1,"reported_payers_30d":1,"networks":["eip155:8453","solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp"],"badge":"unverified","paid_checks_7d":0,"paid_ok_7d":0,"example_input":{"body":{"schema":{"company":"string","employees":"number","founded_year":"number","is_public":"boolean","locations":"string[]"},"text":"Acme Corp is a privately held software company founded in 2010. The San Francisco-based firm, which also has an office in London, now employs roughly 250 people."},"bodyType":"json","method":"POST","type":"http"},"output_schema":{"$schema":"https://json-schema.org/draft/2020-12/schema","properties":{"input":{"additionalProperties":false,"properties":{"body":{"properties":{"schema":{"description":"A map of field name → type token. Supported tokens: string, number, boolean, date, string[], number[], object. Max 50 fields. Each field is extracted from the text as the declared type; output keys are forced to exactly these field names.","type":"object"},"text":{"description":"The unstructured prose to extract structured data from. Max 10000 words or 50KB.","type":"string"}},"required":["text","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":{"cached":{"description":"True if served from the in-memory cache.","type":"boolean"},"fields_in_schema":{"description":"Number of fields in the schema.","type":"number"},"fields_nulled":{"description":"Number of null fields in the output.","type":"number"},"fields_populated":{"description":"Number of non-null fields in the output.","type":"number"},"findings":{"description":"Informational findings (e.g. schema_mismatch_corrected, mostly_nulled).","items":{"type":"string"},"type":"array"},"grade":{"description":"Letter grade A-F.","type":"string"},"result":{"description":"The extracted data: keys are exactly the schema field names, values pulled from the text and cast to the declared types, unfindable fields null.","type":"object"},"schema_match":{"description":"True when the model's output keys were exactly the schema field names. False when code had to force-conform (strip extra / add missing) keys.","type":"boolean"},"score":{"description":"Quality score 0-100.","type":"number"}},"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":0.05,"price_match":true,"latency_ms":920,"error":null}],"description_full":"Turn unstructured text into structured JSON matching a caller-supplied schema using Claude Haiku — the agent declares the fields and types it wants, and gets back populated JSON with values pulled from the text and coerced to the right types, so agents can structure any prose into the exact shape their pipeline expects.","last_updated":"2026-09-19T20:43:17.354Z","schemes":["exact"]}