AgentDiet EDGAR 10-K Risk Extractor is a paid API for AI agents from rag-diet.agentdiet.dev, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Extracts and distills risk factor disclosures from SEC EDGAR 10-K filings for a given public company ticker, compressing context by ~91%.
Deterministic B2A/A2A/MCP/x402/MPP/L402 execution and intelligence node at https://rag-diet.agentdiet.dev settling in USDC on Base.
Returns a JSON object with a `data` field containing the extracted and distilled 10-K risk factors, a `status` field confirming success, and an `roi_proof` object showing the compression ratio achieved (e.g. 91.4% compression, meaning the output is roughly 9x smaller than the raw filing section).
GEThttps://rag-diet.agentdiet.dev/v1/edgar-10k-risk-extractor?utm_source=zero.xyzUse this endpoint when an AI agent needs to process SEC 10-K risk disclosures without exhausting its context window — the ~91% compression ratio makes it ideal for pipelines that need to analyze many filings or combine risk data with other inputs. Prefer this over raw EDGAR scraping when token efficiency matters and when you want structured, pre-distilled risk output at $0.01 per call via x402 micropayment on Base.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"data": {},
"status": "ok",
"roi_proof": {
"compression_ratio_pct": 91.4
}
}
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