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x402stock SEC Filing Summary
x402
x402stock SEC Filing Summary is a paid API for AI agents from x402stock.xyz, paid per call via x402, $0.03/call, status unknown (last checked 2026-09-08).
Retrieves an AI-ready summary of the latest SEC filing (10-K, 10-Q, or 8-K) for a given US stock ticker, including business overview, risk factors, MDA highlights, guidance, and sentiment.
Price / call$0.03
Success—
StatusUnknown
How this service works
Pay-per-call market and economic data API for AI agents: US stocks, ETFs and options, forex, crypto and on-chain perps, energy commodities, US and global macro (Fed, CPI, jobs, GDP, Treasury, World Bank), SEC filings, congressional trades, and market sentiment. No API keys, no accounts. Pay per request in USDC via x402 on Base.
Output
Returns a structured JSON object containing: the filing form type, accession number, filing and report dates, a URL to the full filing on SEC EDGAR, a plain-language summary, business overview, array of risk factors, array of MDA highlights, management guidance (if any), and an overall sentiment label (positive, neutral, or negative). All sourced from SEC EDGAR.
Example use cases
Quarterly earnings commentary extraction
“Grab the most recent 10-Q SEC filing for MSFT and pull out the MDA highlights, any forward guidance management gave, and tell me what the overall sentiment is — I'm trying to understand how they're framing revenue growth this quarter.”
Risk factor deep dive for research
“What are the key risk factors that Tesla flagged in their latest annual SEC filing? I want a full breakdown so I can assess whether those risks have changed compared to what I already know about the company.”
Breaking 8-K news summary
“JPMorgan just filed an 8-K — can you pull a plain-language summary of what it says, including the business context and overall sentiment? I want to know if there's anything material I should be paying attention to.”
Technical details
Endpoint
GEThttps://x402stock.xyz/api/v1/filing-summary/%7Bticker%7DWhen to prefer
Use this endpoint when you need a structured, AI-digestible summary of a company's SEC filing rather than parsing the raw EDGAR document yourself. Ideal for fundamental research, risk analysis, or extracting management commentary without reading hundreds of pages. Choose this over raw EDGAR access when you need risk factors, MDA highlights, and sentiment pre-extracted and ready to use in a reasoning pipeline. Costs $0.03 USDC per call with no API key required.
Side effects
- Ticker not found or not a US-listed public company — likely returns 404 or empty data
- No matching filing of the requested type exists for the ticker — may return null data fields
- SEC EDGAR source temporarily unavailable — service may return stale or error response
- Invalid filing type parameter (must be 10-K, 10-Q, or 8-K) — returns validation error
- Payment failure via x402/USDC — request blocked before execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"data": {
"form": "10-K",
"summary": "Apple reported record annual revenue driven by Services growth, while flagging supply-chain concentration and FX headwinds as principal risks.",
"guidance": "Management did not provide explicit forward revenue guidance.",
"accession": "0000320193-25-000123",
"sentiment": "neutral",
"filing_url": "https://www.sec.gov/Archives/edgar/data/320193/000032019325000123/aapl-20250927.htm",
"filing_date": "2025-11-01",
"report_date": "2025-09-27",
"risk_factors": [
"Heavy reliance on iPhone sales for a majority of revenue",
"Manufacturing concentration in a small number of contract partners",
"Exposure to foreign-currency fluctuations and global trade policy"
],
"mda_highlights": [
"Services revenue reached an all-time high",
"Gross margin expanded year over year on Services mix"
],
"business_overview": "Designs and sells smartphones, computers, wearables, and a growing Services segment spanning the App Store, advertising, and subscriptions."
},
"as_of": "2025-11-01T00:00:00.000Z",
"source": "sec_edgar",
"ticker": "AAPL"
}
}Tags
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