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Falcon Comps — Trading Comparables for US Public Equities
x402
Falcon Comps — Trading Comparables for US Public Equities is a paid API for AI agents from falcon-comps.vercel.app, paid per call via x402, $0.05/call, status unknown (last checked 2026-10-31).
Returns trading comps (market cap, EV, EV/Revenue, EV/EBITDA, P/E, P/FCF, growth, margins, peer median/mean) for up to 12 public company tickers in one call.
Price / call$0.05
Success—
StatusUnknown
How this service works
falcon.sol: Trading comps for up to 12 tickers: market cap, EV, EV/Revenue, EV/EBITDA, P/E, P/FCF, growth, margins, peer median/mean. $0.05 USDC.
Output
A JSON object with a 'comps' array — one entry per ticker containing market cap, enterprise value, EV/Revenue, EV/EBITDA, P/E, P/FCF, revenue growth, and margin metrics — plus a 'summary' object with peer median and mean for each multiple across the full comp set.
Example use cases
Software sector peer comp table
“Build me a trading comps table for Salesforce, ServiceNow, Workday, HubSpot, and Zendesk — I need EV/Revenue, EV/EBITDA, P/E, revenue growth, and margins with peer medians.”
Sanity-check a target company's valuation
“I'm looking at Snowflake as a potential investment — can you pull its trading multiples alongside its closest peers, say Databricks isn't public so use MongoDB, Elastic, and Confluent, and show me where Snowflake sits relative to the group median?”
Quick comps for an M&A pitch
“I need a comps sheet for the semiconductor space — pull trading multiples for NVDA, AMD, QCOM, INTC, and AVGO including EV/EBITDA, EV/Revenue, P/E, P/FCF, and revenue growth so I can benchmark a deal target.”
Technical details
Endpoint
POSThttps://falcon-comps.vercel.app/v1/comps?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, structured comparable company analysis across multiple public US equities — especially when you want pre-computed peer medians and means alongside individual multiples. It is purpose-built for comp tables used in equity research, M&A, and investment analysis, covering up to 12 tickers per call at low cost. Prefer it over general financial data APIs when you specifically need the full suite of trading multiples (EV/Revenue, EV/EBITDA, P/E, P/FCF) with peer summary statistics in one response.
Side effects
- Invalid or unrecognized ticker symbols return an error or are omitted from results
- More than 12 tickers submitted may cause a rejection or partial results
- Non-US or non-public companies may return incomplete or missing data
- Missing financial data for a ticker (e.g. negative EBITDA) may cause certain multiples to be null or omitted
- Payment failure (insufficient USDC) prevents the call from completing
Output
Schema · Response
{
"type": "json",
"example": {
"comps": [
{
"pe": 29.07,
"ticker": "MSFT",
"ev_ebitda": 20.32,
"ev_revenue": 11.61,
"market_cap": 3888000000000,
"enterprise_value": 3852000000000
}
],
"summary": {
"ev_ebitda": {
"median": 21.09
}
}
}
}Tags
x402
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