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falcon.sol Document Extraction API
x402
falcon.sol Document Extraction API is a paid API for AI agents from falcon-docs.falcon-sol.workers.dev, paid per call via x402, $0.03/call, status unknown (last checked 2026-10-31).
Extracts structured data (transactions, underwriting metrics, line items, fields) from bank statement PDFs, invoices, receipts, purchase orders, and W-9s via URL or base64-encoded file.
Price / call$0.03
Success—
StatusUnknown
How this service works
Bank statement extraction for agents: transactions and underwriting metrics from bank-statement PDFs, plus invoice/receipt/W-9 extraction. Paid per call with x402.
Output
A JSON object containing extracted document fields with values and confidence scores, an array of line items (for invoices/receipts/purchase orders), and the detected document type. For bank statements, also includes transaction records and underwriting metrics such as average balance, cash flow, and NSF counts.
Example use cases
Loan underwriting bank statement review
“I need to underwrite a loan application — can you extract all the transactions and underwriting metrics from this bank statement PDF at https://example.com/bank_statement.pdf and return the results as JSON?”
Accounts payable invoice processing
“We just received an invoice from a vendor. Can you parse this invoice PDF at https://example.com/invoice.pdf and pull out the invoice number, total, and all the line items as JSON so I can enter them into our system?”
W-9 data entry automation
“I have a W-9 form as a base64 PDF. Can you extract the name, TIN, address, and other fields from it and return them as structured JSON?”
Technical details
Endpoint
POSThttps://falcon-docs.falcon-sol.workers.dev/v1/extract?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need structured, confidence-scored field extraction from financial PDFs — especially bank statements with underwriting metrics, or invoices/receipts with line items. It supports both URL and base64 input and outputs clean JSON/CSV/XLSX, making it ideal for agent workflows that need to process financial documents programmatically without manual OCR pipelines. Prefer it over generic PDF-to-text tools when you need structured fields rather than raw text.
Side effects
- PDF URL is not publicly accessible or returns non-200 — extraction fails
- PDF is scanned with very low resolution — low confidence scores or missing fields
- Document type mismatch between specified type and actual document
- Corrupted or password-protected PDF — cannot be parsed
- Base64 encoding malformed — file cannot be decoded
- Rate limit or payment failure via x402 — request rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| url | string | Public https URL of a PDF |
| type | string | |
| format | string | |
| file_base64 | string | Base64 PDF (alternative to url, or send multipart 'file' / raw application/pdf) |
Output
Schema · Response
{
"type": "json",
"example": {
"fields": {
"total": {
"value": 1180.5,
"confidence": 0.99
},
"invoice_number": {
"value": "INV-1042",
"confidence": 0.93
}
},
"line_items": [
{
"amount": 1000,
"quantity": 4,
"unit_price": 250,
"description": "Consulting"
}
],
"document_type": "invoice"
}
}Tags
x402
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