DealDocs Financials Extractor

x402

DealDocs Financials Extractor is a paid API for AI agents from dealdocs.genexxis.com, paid per call via x402, $0.99/call, status unknown (last checked 2026-10-31).

Extracts and normalises financial statements (income statement, balance sheet, cash flow) from PDF/HTML documents into structured JSON, with computed ratios, balance checks, and graded flags.

Price / call$0.99

Seller volume →—

Success—

StatusUnknown

How this service works

First-pass review of deal documents and financial statements by an AI model with an investment-banking and M&A-lawyer checklist. /redflags: term sheet, SAFE, convertible, shareholders' agreement, LOI, SPA, NDA -> parties, key terms, red flags graded high/medium/low with clause, verbatim quote, market standard (NVCA, BVCA, usual M&A practice) and a concrete fix, missing protections, questions to ask, from the side you choose. /financials: statements in IFRS, US GAAP, French PCG, Moroccan CGNC and others -> normalised JSON per period, plus ratios (margins, leverage, coverage, liquidity, working-capital days, cash conversion) and consistency checks computed in code. Input: text, a URL or a base64 PDF; any language. Documents are never stored.

Output

A JSON object containing normalised financial statements (income statement, balance sheet, cash flow) per reporting period with amounts in the document's currency and unit; computed ratios including profitability margins, ROE, leverage metrics, working capital days, and free cash flow; balance sheet integrity checks with pass/fail flags; graded red flags; extraction warnings; and audit notes. For long jobs, a poll URL is returned instead of the result immediately. Documents are not retained after processing.

Example use cases

Due diligence on acquisition target

“I'm reviewing a potential acquisition and need the full financial picture — can you extract the income statement, balance sheet, and cash flow from this audited PDF, compute ratios like net debt/EBITDA, interest cover, and free cash flow, and flag any accounting red flags? The document is at https://example.com/target-financials-2024.pdf”

Investor screening for fund portfolio

“We're screening a portfolio company before our investment committee meeting — please parse the IFRS financials from this annual report and give me normalised JSON with revenue, EBITDA margin, net margin, ROE, and working capital metrics like DSO and DPO. Here's the base64 PDF.”

Lender covenant monitoring

“I need to check whether this borrower is still within their debt covenants — can you extract the latest balance sheet and income statement from their PDF accounts and compute net debt/EBITDA and interest cover so I can compare against the 3.5x and 4x thresholds?”

Technical details

Endpoint

POSThttps://dealdocs.genexxis.com/financials?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need structured, machine-readable financial data extracted from a PDF or HTML document (annual reports, audited accounts) under 25 pages, and want computed financial ratios and balance checks included in a single call. Prefer the /financials/pro sibling endpoint for larger or more complex documents. This endpoint is ideal for due diligence automation, lender covenant monitoring, or investor screening workflows where you need IFRS, US GAAP, PCG, or CGNC financials normalised into JSON without storing the source document.

Side effects

Document exceeds 25 pages / 2.5 MB / 100k character limit — use /financials/pro instead
Invalid or inaccessible URL returns an error
PDF is image-only/scanned with no extractable text — extraction warnings returned or failure
Document is not a financial statement — model may return empty or partial statements
Ambiguous accounting standard leads to incorrect normalisation — use docType hint to guide
Network timeout on large documents — async poll URL may be returned
Payment of $0.99 USDC not completed — 402 response blocking access

Input

Schema · Request body

Field	Type	Description
url	string	https link to the document (PDF, HTML or plain text)
text	string	Document text (min 200 characters). Send exactly one of text, url, pdf_base64.
docType	string	Optional hint: auto, term_sheet, safe_or_convertible, shareholders_agreement, loi_or_offer, spa_or_apa, nda
language	string	Optional output language: auto, en, fr, es, de, it, pt, nl, ar; default auto (language of the document)
pdf_base64	string	The PDF file, base64-encoded
perspective	string	Optional, red flags only: whose side to review for (neutral, investor, founder, company, buyer, seller, lender, borrower, minority_shareholder, majority_shareholder); default neutral

Output

Schema · Response

{
  "type": "json",
  "example": {
    "tier": "std",
    "model": "claude-sonnet-5-5",
    "result": {
      "analysis": {
        "flags": [],
        "checks": [
          {
            "ok": true,
            "check": "assets = liabilities + equity",
            "period": "FY2024"
          }
        ],
        "ratios": [
          {
            "cash": {
              "free_cash_flow": 10800,
              "cash_conversion": 0.8
            },
            "period": "FY2024",
            "leverage": {
              "interest_cover": 7.4,
              "net_debt_to_ebitda": 1.2
            },
            "profitability": {
              "net_margin": 0.0646,
              "ebitda_margin": 0.162
            }
          }
        ]
      },
      "statements": {
        "unit": "thousands",
        "entity": "Example SA",
        "periods": [
          {
            "label": "FY2024",
            "months": 12,
            "cash_flow": {
              "capex": 5400,
              "operating_cash_flow": 16200
            },
            "balance_sheet": {
              "equity": 41000,
              "total_assets": 98000,
              "long_term_debt": 30000
            },
            "income_statement": {
              "revenue": 125400,
              "net_income": 8100,
              "operating_income": 14800
            }
          }
        ],
        "currency": "EUR",
        "extraction_warnings": []
      }
    },
    "status": "done",
    "service": "dealdocs",
    "analysis": "financials",
    "disclaimer": "Automated first-pass analysis by an AI model. Not legal, accounting, tax or investment advice; may contain errors. Have a qualified professional review before relying on it."
  }
}

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How this service works

Output

Example use cases

Due diligence on acquisition target

Investor screening for fund portfolio

Lender covenant monitoring

Technical details

Endpoint

POSThttps://dealdocs.genexxis.com/financials?utm_source=zero.xyz

When to prefer

Side effects

Document exceeds 25 pages / 2.5 MB / 100k character limit — use /financials/pro instead
Invalid or inaccessible URL returns an error
PDF is image-only/scanned with no extractable text — extraction warnings returned or failure
Document is not a financial statement — model may return empty or partial statements
Ambiguous accounting standard leads to incorrect normalisation — use docType hint to guide
Network timeout on large documents — async poll URL may be returned
Payment of $0.99 USDC not completed — 402 response blocking access

Input

Schema · Request body

Field	Type	Description
url	string	https link to the document (PDF, HTML or plain text)
text	string	Document text (min 200 characters). Send exactly one of text, url, pdf_base64.
docType	string	Optional hint: auto, term_sheet, safe_or_convertible, shareholders_agreement, loi_or_offer, spa_or_apa, nda
language	string	Optional output language: auto, en, fr, es, de, it, pt, nl, ar; default auto (language of the document)
pdf_base64	string	The PDF file, base64-encoded
perspective	string	Optional, red flags only: whose side to review for (neutral, investor, founder, company, buyer, seller, lender, borrower, minority_shareholder, majority_shareholder); default neutral

Output

Schema · Response

{
  "type": "json",
  "example": {
    "tier": "std",
    "model": "claude-sonnet-5-5",
    "result": {
      "analysis": {
        "flags": [],
        "checks": [
          {
            "ok": true,
            "check": "assets = liabilities + equity",
            "period": "FY2024"
          }
        ],
        "ratios": [
          {
            "cash": {
              "free_cash_flow": 10800,
              "cash_conversion": 0.8
            },
            "period": "FY2024",
            "leverage": {
              "interest_cover": 7.4,
              "net_debt_to_ebitda": 1.2
            },
            "profitability": {
              "net_margin": 0.0646,
              "ebitda_margin": 0.162
            }
          }
        ]
      },
      "statements": {
        "unit": "thousands",
        "entity": "Example SA",
        "periods": [
          {
            "label": "FY2024",
            "months": 12,
            "cash_flow": {
              "capex": 5400,
              "operating_cash_flow": 16200
            },
            "balance_sheet": {
              "equity": 41000,
              "total_assets": 98000,
              "long_term_debt": 30000
            },
            "income_statement": {
              "revenue": 125400,
              "net_income": 8100,
              "operating_income": 14800
            }
          }
        ],
        "currency": "EUR",
        "extraction_warnings": []
      }
    },
    "status": "done",
    "service": "dealdocs",
    "analysis": "financials",
    "disclaimer": "Automated first-pass analysis by an AI model. Not legal, accounting, tax or investment advice; may contain errors. Have a qualified professional review before relying on it."
  }
}