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Automaton Paid API – Named Field Extraction
x402
Automaton Paid API – Named Field Extraction is a paid API for AI agents from automaton-paid.sharkquant.ai, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-30).
Extracts up to 8 named fields from unstructured text (emails, invoices, filings, descriptions) and returns them as a strict JSON key-value record.
Price / call$0.001
Success—
StatusUnknown
How this service works
Extract named fields from unstructured text into strict JSON. Use when an agent must turn an email, filing, invoice, or description into {field: value} records up to 4,000 characters.
Output
A JSON object where each requested field name maps to the value extracted from the input text. If a field cannot be found, it will typically be null or an empty string. The response is strict JSON suitable for downstream processing.
Example use cases
Invoice data entry automation
“Extract the vendor name, invoice number, total amount, and due date from this invoice text: 'Invoice #5821 — BrightEdge Technologies, issued 2025-02-10, amount due $12,450.00, payment due by 2025-03-12.'”
Job posting structured parsing
“Parse this job description and pull out the job title, required years of experience, location, and salary range: 'We are hiring a Senior Data Engineer in Austin, TX. Candidates must have 5+ years of experience. Salary: $130,000–$160,000 per year.'”
Email lead capture
“From this sales inquiry email, extract the sender's company name, contact name, product interest, and budget: 'Hi, I'm Sarah Chen from Meridian Logistics. We're interested in your fleet tracking software and have a budget of around $20,000 annually.'”
Technical details
Endpoint
GEThttps://automaton-paid.sharkquant.ai/v1/extract?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to turn free-form text (emails, invoices, filings, product descriptions) into structured {field: value} JSON with a predefined set of field names, especially when the text is under 4,000 characters and you need up to 8 specific fields. It is ideal for document digitization pipelines, data entry automation, and lead enrichment workflows where downstream systems require strict JSON. Prefer this over general-purpose LLM calls when you want a cheap, deterministic, pay-per-call extraction without managing prompts.
Side effects
- Text exceeds 4,000 characters — request rejected or truncated
- More than 8 fields requested — excess fields may be ignored or error returned
- Field names are ambiguous and cannot be reliably matched to text content — values may be incorrect or null
- Unstructured text is too vague or lacks the requested fields — returns null values
- Payment authorization failure via x402 protocol — 402 response before extraction occurs
- Malformed or non-URL-encoded text query parameter — 400 bad request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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