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AnswerPool CFR Citers
x402
AnswerPool CFR Citers is a paid API for AI agents from answerpool.io, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-14).
Returns public companies that cite a specific CFR title and part in their SEC filings, with filing counts, form types, and dates, enabling regulatory exposure screening.
Price / call$0.02
Success—
StatusUnknown
How this service works
AnswerPool turns SEC EDGAR, the Federal Register, USAspending, NIH, BLS and OpenAlex into structured JSON answers that AI agents and developers fetch in one call. 69 endpoints free, no account; derived analyses $0.02–$0.05 per call by card credits or USDC (x402). MCP server, full provenance.
Output
A JSON object containing the query timestamp, the CFR phrase searched, total number of matching filings, and an array of company records each with CIK, company name, number of matching filings, form types cited, latest filing date, and the matched citation strings found in the text.
Example use cases
Screen broker-dealer regulation exposure
“Show me all public companies that reference CFR title 17 part 240 — that's the SEC's broker-dealer rules — in their SEC filings over the last 365 days, up to 100 results.”
Identify bank capital rule citers
“Which SEC registrants have cited CFR title 12 part 3 in their filings in the past two years? I want to see filing counts and the most recent filing date for each company.”
Track investment adviser disclosure references
“Find all public companies that mention CFR title 17 part 275 in their SEC filings over the last 180 days and tell me which form types they filed — I'm trying to map exposure to investment adviser regulations.”
Technical details
Endpoint
GEThttps://answerpool.io/v1/impact/cfrWhen to prefer
Use this endpoint when you need to screen which public companies are exposed to or reference a specific Code of Federal Regulations provision in their SEC filings, particularly for regulatory impact analysis, compliance monitoring, or investment due diligence around specific rules. Prefer this over a generic EDGAR full-text search when you want pre-aggregated per-registrant counts and form breakdowns for a CFR citation rather than raw filing lists.
Side effects
- Missing required cfr_title or cfr_part parameters returns a validation error
- CFR title/part combination with no matching filings returns an empty companies array
- lookback_days outside the 30–1825 range returns a parameter validation error
- limit exceeding 100 returns a validation error
- Payment failure (x402) returns a 402 status requiring USDC payment
- Rare: EDGAR full-text index lag may cause very recent filings to be missing from results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"as_of": "2026-09-02T20:00:00Z",
"count": 1,
"query": "17 CFR 240",
"companies": [
{
"cik": "0000320193",
"forms": [
"10-K"
],
"company": "Apple Inc.",
"filings": 2,
"matched": [
"17 CFR 240"
],
"latest_filed": "2026-08-15"
}
],
"total_filing_matches": 128
}
}Tags
x402
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