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AgentDiet EDGAR 10-K Risk Factor Extractor
x402
AgentDiet EDGAR 10-K Risk Factor Extractor is a paid API for AI agents from status.agentdiet.dev, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Extracts and compresses risk factor disclosures from SEC EDGAR 10-K filings for a given stock ticker, returning a distilled summary with high compression ratio.
Price / call$0.01
Success—
StatusUnknown
How this service works
Deterministic B2A/A2A/MCP/x402/MPP/L402 execution and intelligence node at https://status.agentdiet.dev settling in USDC on Base.
Output
Returns a JSON object with a 'data' field containing the extracted and compressed 10-K risk factors, a 'status' field ('ok'), and a 'roi_proof' object showing the compression_ratio_pct (e.g. 91.4%), demonstrating how much the original filing text was reduced.
Example use cases
Pre-investment due diligence risk review
“I'm considering investing in Palantir — can you extract and compress the risk factors from their latest 10-K SEC filing so I can quickly understand what the company says are their main risks?”
Competitive risk landscape comparison
“Pull the distilled 10-K risk disclosures for both AMZN and MSFT so I can compare what operational and regulatory risks each company is flagging in their annual reports.”
Portfolio monitoring for regulatory red flags
“I hold shares in META — grab the compressed risk section from their most recent SEC 10-K filing and flag anything related to regulatory, legal, or data privacy risks.”
Technical details
Endpoint
GEThttps://status.agentdiet.dev/v1/edgar-10k-risk-extractor?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to rapidly extract and compress SEC 10-K risk disclosures for a specific public company without consuming large token budgets parsing raw filings yourself. Ideal for AI agents doing investment research, due diligence, or portfolio monitoring where the full 10-K text would overwhelm a context window. The advertised ~91% compression ratio makes it especially valuable when token efficiency is critical.
Side effects
- Invalid or unknown ticker symbol returns empty data or error
- Ticker has no 10-K filing on EDGAR (e.g. foreign-only listed company)
- EDGAR source unavailable or rate-limited causing fetch failure
- Payment not settled in USDC on Base causes 402 rejection
- Malformed input schema (missing required 'type' or 'method' fields) causes 400 error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"data": {},
"status": "ok",
"roi_proof": {
"compression_ratio_pct": 91.4
}
}
}Tags
x402
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