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AnswerPool Company Peers
x402
AnswerPool Company Peers is a paid API for AI agents from answerpool.io, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-14).
Returns the most similar public companies to a given ticker or CIK, ranked by financial similarity using SEC XBRL data including assets, revenue, margins, and distance scores.
Price / call$0.05
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
Returns a structured response containing the target company's profile (CIK, ticker, name, SIC code, assets, revenue, margin) and an ordered list of peer companies ranked by financial similarity. Each peer row includes CIK, ticker, company name, assets in USD, revenue in USD, net income in USD, profit margin, log-scale distance score, and similarity score. Also includes metadata like the frame year used, number of candidates in the industry, and the as-of date of the data.
Example use cases
Equity valuation peer group selection
“I'm valuing Salesforce and need its 15 closest public company peers by revenue and asset size — can you pull that from SEC data so I have a proper comp set?”
Competitive landscape mapping
“Who are the most financially similar public companies to CIK 0000320193 (Apple)? Give me up to 20 peers ranked by similarity.”
Portfolio benchmarking analysis
“For my analysis of AMD, find the top 10 publicly traded companies that are most comparable by industry, assets, and profit margins using SEC XBRL data.”
Technical details
Endpoint
GEThttps://answerpool.io/v1/peers/similarWhen to prefer
Use this endpoint when you need a ranked, financially-grounded peer set for a public company without loading or querying the SEC XBRL corpus yourself. It is ideal for valuation comp tables, competitive benchmarking, and regulatory or investment analysis where industry-adjusted financial similarity (assets, revenue, margins) matters more than qualitative categorization. Prefer it over manual SIC lookups or generic screeners when you need distance-scored similarity with underlying financials in one call.
Side effects
- Invalid or unrecognized ticker returns an error or empty result
- CIK not found in SEC XBRL corpus returns no data
- Both ticker and CIK omitted causes a validation error
- Company has insufficient XBRL financial data for similarity ranking
- Limit parameter out of range (below 1 or above 50) causes a validation error
- Payment not completed results in 402 response blocking the call
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"as_of": "2026-09-02T21:00:00Z",
"count": 1,
"peers": [
{
"cik": "0001045810",
"name": "NVIDIA CORP",
"margin": 0.55,
"ticker": "NVDA",
"distance": 1.3072,
"assets_usd": 111000000000,
"similarity": 0.4334,
"revenue_usd": 130000000000,
"net_income_usd": 72000000000
}
],
"target": {
"cik": "0000320193",
"sic": "3571",
"name": "Apple Inc.",
"margin": 0.25,
"ticker": "AAPL",
"assets_usd": 365000000000,
"revenue_usd": 400000000000,
"sic_description": "Electronic Computers"
},
"frame_year": 2025,
"candidates_in_industry": 42
}
}Tags
x402
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