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Document Structured Extractor
x402
Document Structured Extractor is a paid API for AI agents from i3p3mgbsn54dvlivnk6wbumal40eqtsn.lambda-url.us-east-1.on.aws, paid per call via x402, $0.05/call, status unknown (last checked 2026-10-10).
Extracts structured fields and source evidence from documents (tenders, invoices, contracts, privacy policies) using task-specific profiles, returning schema-validated JSON with confidence scores and page references.
Price / call$0.05
Success—
StatusUnknown
How this service works
Extract structured fields and source evidence from supported documents using task-specific profiles such as tenders, invoices, contract dates, and privacy policies. Returns schema-validated JSON with confidence and page/source references.
Output
A schema-validated JSON object containing extracted field values organized by document profile (tender, invoice, contract dates, or privacy policy), each field annotated with a confidence score (0–1) and page/source references indicating where in the document the value was found.
Example use cases
Invoice field extraction for accounts payable
“Parse this invoice text and extract all the structured fields — vendor name, invoice number, line items, subtotal, tax, and total amount due — using the invoice profile, and tell me the confidence score and page reference for each field.”
Tender document parsing for procurement team
“I have a government tender document I need to analyze. Can you extract the structured fields like tender ID, submission deadline, eligibility criteria, and scope of work using the tender profile, with source evidence for each field?”
Contract date extraction for legal review
“Pull out all the important dates from this contract — effective date, expiry date, renewal deadline, and any milestone dates — using the contract dates profile, and include which page and sentence each date comes from along with confidence scores.”
Technical details
Endpoint
POSThttps://i3p3mgbsn54dvlivnk6wbumal40eqtsn.lambda-url.us-east-1.on.aws/v1/document-structured-extractor?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need structured, schema-validated field extraction from business or legal documents with task-specific profiles (invoices, tenders, contracts, privacy policies) and require confidence scores and source page references for auditability. Prefer over generic extraction when you need profile-specific field sets and traceable evidence for each extracted value.
Side effects
- Unsupported document profile type returns an error indicating valid profiles
- Low-confidence extractions may return null or partial field values
- Malformed or unreadable document text results in extraction failure
- Missing required document content causes incomplete schema output
- Very long documents may exceed processing limits
Tags
x402
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