netintel.dev Schema Parse Extract is a paid API for AI agents from netintel.dev, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).
Extracts structured contact and entity fields (name, role, email, phone, company) from unstructured text using LLM-based parsing
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.
Returns a JSON object with extracted fields including name, role, email, phone, and company pulled from the input text, plus token usage counts for input and output tokens consumed.
POSThttps://netintel.dev/schema-parse/extractUse this endpoint when you need to extract structured contact or entity fields (name, role, email, phone, company) from unstructured text such as email signatures, bios, scraped profiles, or document snippets. It is pay-per-call at $0.10 USDC via x402 micropayments, making it suitable for on-demand extraction without subscription commitments. Prefer this over regex-based parsers when input format is varied or freeform.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"extracted": {
"name": "Sarah Chen",
"role": "VP of Engineering",
"email": "sarah.chen@acme.com",
"phone": "555-867-5309",
"company": "Acme Corp"
},
"tokens_used": {
"input": 312,
"output": 48
}
}
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