https://netintel.dev/schema-parse/extract
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.
What this profile is sourced from
Things to know before drawing strong conclusions
accepts[] entry is used.Raw HTTP — what an agent observes
GET https://netintel.dev/schema-parse/extract → HTTP/1.1 402 Payment Required X-Payment-Required: $0.1000 X-Payment-Currency: USDC X-Payment-Chain: base GET https://netintel.dev/schema-parse/extract X-Payment: <signed-receipt> → HTTP/1.1 200 OK Content-Type: application/json …response body…