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Evidence-backed Text Extraction API by 4090 Agent
x402
Evidence-backed Text Extraction API by 4090 Agent is a paid API for AI agents from x402.hypurring.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-12).
Extracts named fields from unstructured text into structured JSON, returning both the extracted value and the exact source quote (evidence) for each field.
Price / call$0.01
Success—
StatusUnknown
How this service works
Extract named fields from text into JSON with exact source quotes. Pay per request in USDC via x402; no API key required.
Output
A JSON object with one key per requested field; each key maps to an object containing 'value' (the extracted answer) and 'evidence' (the verbatim substring from the source text that supports the extraction).
Example use cases
Invoice data extraction with audit trail
“Extract the invoice number, total amount, and vendor name from this text and give me the exact quote where each value appears: 'Invoice #1042 issued to Globex Corp. by Acme Supplies. Total due: $4,250 by March 31.'”
Contract clause parsing for legal review
“From this contract excerpt, pull out the effective date, party names, and payment terms, and show me exactly where in the text each value came from: 'This Agreement is entered into on January 15, 2025 between Lighthouse LLC and Beacon Partners. Payment of $12,000 is due within 30 days of signing.'”
Support ticket triage field extraction
“Extract the customer name, product mentioned, and issue type from this support message, with the exact quote that supports each field: 'Hi, I'm Maria and I've been having trouble with my SmartHub router — it keeps dropping connection every evening.'”
Technical details
Endpoint
POSThttps://x402.hypurring.com/v1/extract?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a structured extracted value AND verifiable evidence (the exact source quote) from unstructured text — making it ideal for auditable pipelines such as invoice processing, legal document parsing, or compliance workflows where traceability matters. It is pay-per-call with no API key, making it frictionless for low-volume or ad-hoc extraction tasks. Prefer it over generic LLM extraction when you want a standardized JSON schema with co-located evidence per field.
Side effects
- Field not found in text — value may be null or absent with no evidence quote
- Ambiguous text leading to incorrect extraction or wrong evidence span
- Malformed input (missing 'text' or 'fields' parameters) resulting in a 400-style error
- Payment failure via x402 protocol resulting in a 402 response before extraction occurs
- Very long texts may hit token or size limits causing partial or failed extraction
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string | Source text to extract from |
| fields | array | Field names to extract |
Output
Schema · Response
{
"type": "json",
"example": {
"result": {
"amount": {
"value": "$18",
"evidence": "for $18"
},
"customer": {
"value": "Ada",
"evidence": "to Ada"
},
"invoice_number": {
"value": "42",
"evidence": "Invoice 42"
}
}
}
}Tags
x402
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