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Agent402 Dossier - US Stock Due-Diligence Report
x402
Agent402 Dossier - US Stock Due-Diligence Report is a paid API for AI agents from agent402.tools, paid per call via x402, $0.85/call, status unknown (last checked 2026-09-16).
Generates a comprehensive AI-synthesized due-diligence dossier for a US stock ticker, pulling from SEC filings, insider transactions, and web sources, returned as a structured markdown or JSON report.
Price / call$0.85
Success—
StatusUnknown
How this service works
Hand over a ticker and get one due-diligence dossier back. Pulls the company's SEC EDGAR filings (10-K / 10-Q / 8-K) and Form 4 insider trades, a live quote, and grounded web research on recent developments and risks, then synthesizes a ~2,400-word cited dossier - business, financial posture, insider activity, red flags, and a balanced diligence read. Grounded in real SEC data, not a generic web guess. One payment, one report. USDC (x402/MPP) or card (Stripe). Not cached.
Output
Returns a structured report containing: a metadata object (ticker, company name, filing counts, sources cited, synthesis model), a markdown or JSON dossier narrative with inline citations, XBRL-sourced financial tables (revenue, quarterly figures), insider filing summaries, and a numbered sources list with URLs to SEC EDGAR filings and web references.
Example use cases
Pre-investment stock deep dive
“Before I buy shares in Tesla, can you generate a full due-diligence dossier on TSLA in markdown, with a focus on their financials and any recent 8-K filings?”
Earnings prep for portfolio review
“I have a portfolio review tomorrow — put together a dossier on AMD covering their latest 10-Q and 10-K filings, insider activity, and any recent news angles, in JSON format.”
Litigation and debt risk assessment
“I'm evaluating a short position on Walgreens — can you run a dossier on WBA and emphasize litigation and debt so I can assess the downside risks?”
Technical details
Endpoint
POSThttps://agent402.tools/v1/dossierWhen to prefer
Choose this endpoint when you need a single-call, AI-synthesized due-diligence report on a US public company that aggregates SEC 10-K, 10-Q, 8-K, insider filings, and web signals into one structured document. Prefer it over raw SEC EDGAR queries when you want an analyst-style narrative with citations rather than raw filing data, and over general web search when you need structured financials alongside qualitative analysis. Best for investment research, portfolio review, risk assessment, and M&A screening workflows where depth and source citation matter.
Side effects
- Invalid or unknown ticker symbol returns an error or empty result
- Ticker not listed on a US exchange may not have SEC filings available
- SEC EDGAR data lag may mean very recent filings are not yet indexed
- Focus array exceeding 8 items may be ignored or truncated
- Network or upstream SEC/web fetch failures may reduce source count or return partial dossiers
- Format enum values other than 'markdown' or 'json' will be rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| focus | array | Optional aspects to emphasize (<= 8), e.g. ["litigation", "debt"]. |
| format | string | Response shape (default markdown dossier). |
| ticker | string | US stock ticker to investigate, e.g. AAPL. |
Output
Schema · Response
{
"type": "json",
"example": {
"meta": {
"tier": "dossier",
"ticker": "EXMP",
"company": "Example Corp",
"filings_8k": 5,
"web_angles": 4,
"filings_10k": 1,
"filings_10q": 3,
"sources_cited": 18,
"insider_filings": 8,
"synthesis_model": "anthropic/claude-opus-5"
},
"tables": [
{
"name": "financials",
"rows": [
[
"Total revenue",
"$1.2B",
"FY 2024 10-K filed 2025-11-01",
"$0.3B",
"2025-09-30 (10-Q)"
]
],
"label": "SEC XBRL financials",
"columns": [
"Metric",
"Latest annual",
"Annual period",
"Most recent",
"Recent period"
]
}
],
"ticker": "EXMP",
"company": "Example Corp",
"dossier": "# Due-Diligence Dossier: Example Corp (EXMP)\n\n## Snapshot\nExample Corp trades at ... [1]\n\n## Sources\n[1] 10-K filed ... - https://www.sec.gov/...",
"sources": [
{
"n": 1,
"url": "https://www.sec.gov/...",
"title": "10-K filed 2025-11-01 - SEC EDGAR"
}
]
}
}Tags
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