falcon.sol Bank Statement & Document Extraction

x402

falcon.sol Bank Statement & Document Extraction is a paid API for AI agents from falcon-docs.falcon-sol.workers.dev, paid per call via x402, $0.4/call, status unknown (last checked 2026-10-31).

Extracts structured transactions, underwriting metrics, and financial fields from bank statement PDFs, invoices, receipts, purchase orders, and W-9s.

Price / call$0.4

Seller volume →—

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

Returns a JSON object containing: a list of dated transactions with amount, balance, category, and description; extracted document fields (e.g. opening_balance) with confidence scores; underwriting metrics including average daily balance, average monthly revenue deposits, NSF/overdraft count, debt positions (lender, count, total, frequency, typical payment), and integrity flags; plus the detected document_type.

Example use cases

Loan underwriting from bank statements

“I need to underwrite a small business loan application — can you extract the transactions and underwriting metrics from their bank statement at https://example.com/bizstatement.pdf and give me the average daily balance, monthly revenue deposits, and any overdraft flags as JSON?”

Automated invoice data extraction

“I have a supplier invoice PDF at https://example.com/invoice.pdf — can you extract the structured fields from it so I can load them into our accounting system? Return the results as JSON.”

W-9 form parsing for onboarding

“We just received a vendor W-9 at https://example.com/w9.pdf — can you extract all the fields from it into structured JSON so we can add them to our vendor database?”

Technical details

Endpoint

POSThttps://falcon-docs.falcon-sol.workers.dev/v1/bank-statement?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need structured financial data extracted from PDF documents — especially bank statements requiring underwriting metrics (average daily balance, revenue deposits, NSF counts, debt positions) for lending decisions. Also prefer it for invoice, receipt, W-9, or purchase order extraction with confidence scores. It is purpose-built for financial document intelligence with lending-specific analytics, unlike generic PDF-to-text converters. Use when you need machine-readable JSON, CSV, or XLSX output with per-field confidence, not just raw text.

Side effects

PDF URL is not publicly accessible or returns non-200 — extraction fails
PDF is password-protected or encrypted — cannot parse
Low-quality scanned PDF with poor OCR-ability — reduced confidence scores or missing fields
Incorrect document type specified — may return empty or mismatched fields
Base64 payload malformed or truncated — parse error
Document is not a supported type — falls back to generic extraction with lower accuracy
Network timeout fetching remote PDF URL

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": {
      "opening_balance": {
        "value": 15210.4,
        "confidence": 0.99
      }
    },
    "metrics": {
      "debt_positions": {
        "ondeck": {
          "count": 21,
          "total": 8526,
          "frequency": "daily",
          "typical_payment": 406
        }
      },
      "integrity_flags": [],
      "nsf_overdraft_count": 2,
      "average_daily_balance": 12093.11,
      "avg_monthly_revenue_deposits": 45029.61
    },
    "transactions": [
      {
        "date": "2026-04-01",
        "amount": 2630.27,
        "balance": 17840.67,
        "category": "revenue_deposit",
        "description": "SQUARE INC DEPOSIT"
      }
    ],
    "document_type": "bank_statement"
  }
}

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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

Example use cases

Loan underwriting from bank statements

Automated invoice data extraction

“I have a supplier invoice PDF at https://example.com/invoice.pdf — can you extract the structured fields from it so I can load them into our accounting system? Return the results as JSON.”

W-9 form parsing for onboarding

“We just received a vendor W-9 at https://example.com/w9.pdf — can you extract all the fields from it into structured JSON so we can add them to our vendor database?”

Technical details

Endpoint

POSThttps://falcon-docs.falcon-sol.workers.dev/v1/bank-statement?utm_source=zero.xyz

When to prefer

Side effects

PDF URL is not publicly accessible or returns non-200 — extraction fails
PDF is password-protected or encrypted — cannot parse
Low-quality scanned PDF with poor OCR-ability — reduced confidence scores or missing fields
Incorrect document type specified — may return empty or mismatched fields
Base64 payload malformed or truncated — parse error
Document is not a supported type — falls back to generic extraction with lower accuracy
Network timeout fetching remote PDF URL

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": {
      "opening_balance": {
        "value": 15210.4,
        "confidence": 0.99
      }
    },
    "metrics": {
      "debt_positions": {
        "ondeck": {
          "count": 21,
          "total": 8526,
          "frequency": "daily",
          "typical_payment": 406
        }
      },
      "integrity_flags": [],
      "nsf_overdraft_count": 2,
      "average_daily_balance": 12093.11,
      "avg_monthly_revenue_deposits": 45029.61
    },
    "transactions": [
      {
        "date": "2026-04-01",
        "amount": 2630.27,
        "balance": 17840.67,
        "category": "revenue_deposit",
        "description": "SQUARE INC DEPOSIT"
      }
    ],
    "document_type": "bank_statement"
  }
}