DealDocs Financials Pro is a paid API for AI agents from dealdocs.genexxis.com, paid per call via x402, $4.99/call, status unknown (last checked 2026-10-31).
Extracts financial statements and computes ratio analysis from long annual reports or audited accounts (up to 100 PDF pages / 5 MB / 400k characters)
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.
A structured JSON object containing normalized financial statements (income statement, balance sheet, cash flow) broken down by reporting period, plus computed ratios including EBITDA margin, net margin, net debt to EBITDA, interest cover, free cash flow, and cash conversion. Also includes extraction warnings, accounting integrity checks, entity name, currency, and unit denomination. Long jobs may return a poll URL instead of immediate results.
POSThttps://dealdocs.genexxis.com/financials/pro?utm_source=zero.xyzChoose this Pro endpoint when the source document is a long annual report, full audited accounts with footnotes, or any financial document exceeding standard page limits (over ~20 pages). It supports up to 100 PDF pages / 5 MB / 400k characters and produces longer, more complete output than the standard tier. Prefer it for due diligence workflows, M&A analysis, or any scenario requiring multi-period financial statement extraction with computed ratios from complex documents.
| 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 |
{
"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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