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Extract Structured JSON from Text Using Custom Field List
x402
Extract Structured JSON from Text Using Custom Field List is a paid API for AI agents from twin.unykorn.org, paid per call via x402, $0.006/call, status unknown (last checked 2026-09-30).
Takes arbitrary text (invoices, emails, contracts, listings) and a user-defined field map, returning structured JSON with the requested fields extracted.
Price / call$0.006
Success—
StatusUnknown
How this service works
Extract structured JSON from any text using your field list (invoices, emails, contracts, listings) — Genesis402 / UnyKorn Operator Network
Output
A structured JSON object where each key corresponds to a field name provided in the input field map, and each value is the extracted content from the source text. Missing or not-found fields may be null or absent.
Example use cases
Invoice data extraction for accounting
“I have the raw text of an invoice — extract the vendor name, invoice number, issue date, due date, subtotal, tax, and total amount from it and return them as JSON.”
Contract party and clause extraction
“Here's the text of a service agreement — pull out the names of both parties, the effective date, the contract term length, and the termination notice period as structured fields.”
Job listing structured parsing
“Extract the job title, company name, location, salary range, required years of experience, and top 5 required skills from this job posting text and return them as a JSON object.”
Technical details
Endpoint
POSThttps://twin.unykorn.org/ai/extract?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have unstructured or semi-structured text (emails, invoices, contracts, listings, forms) and need to extract a specific, user-defined set of named fields as structured JSON. It is ideal for document processing pipelines, data entry automation, and any workflow where you need to convert free-form text into machine-readable records with custom schemas. Prefer it over general LLM prompting when you want a consistent, schema-driven extraction result via a paid, reliable API endpoint.
Side effects
- Text exceeds 16,000 character limit — request rejected
- More than 30 fields defined in the field map — may fail or truncate
- Field definitions are ambiguous — extracted values may be incorrect or empty
- AI model unable to identify requested fields in text — returns null values
- Malformed input object or missing required params — HTTP error response
- Payment failure via x402 protocol — call not executed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| params | object |
Tags
x402
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