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falcon.sol comps — Credit Analysis & Debt Capacity
x402
falcon.sol comps — Credit Analysis & Debt Capacity is a paid API for AI agents from falcon-comps.falcon-sol.workers.dev, paid per call via x402, $0.24/call, status unknown (last checked 2026-10-31).
Returns standardized credit metrics, debt capacity estimates, and leveraged finance structures for a comp set of US public companies using SEC EDGAR data
Price / call$0.24
Success—
StatusUnknown
How this service works
Standardized financials and trading comps from SEC EDGAR, paid per call with x402.
Output
A JSON object with per-company credit metrics (gross leverage, net leverage, interest coverage, FCF-to-debt), debt capacity at various leverage scenarios, indicative credit ratings, DSCR, a binding constraint indicator, an AI-generated credit memo summary, and a peer summary with median gross leverage. Also returns the effective assumptions used.
Example use cases
LBO debt capacity screen
“Run a leveraged finance analysis on HCA, CYH, and SEM — I want to see how much debt each can support at peer median leverage, their indicative ratings, and a summary of their credit profiles.”
Peer leverage benchmarking
“Compare the gross leverage, net leverage, and interest coverage for UNH, HUM, and CVS against the peer group median so I can see which names are most stretched.”
Custom assumption stress test
“Analyze debt capacity for MHK, LEG, and WSM using a 5.0x leverage cap, a 1.20x DSCR minimum, and a 30% tax rate — show me the implied financing structures and indicative credit ratings.”
Technical details
Endpoint
POSThttps://falcon-comps.falcon-sol.workers.dev/v1/credit?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need standardized, SEC-filing-derived credit and leveraged finance metrics for US public companies — especially for debt capacity analysis, LBO screening, or credit benchmarking across a comp set. Prefer this over generic financial data APIs when you need DSCR, indicative ratings, and financing structure outputs in a single call. Best suited for leveraged finance, private equity, and credit research workflows where consistency and per-call pricing (rather than a subscription) are acceptable.
Side effects
- Ticker not found in SEC EDGAR — returns error or omits company from results
- Insufficient SEC filing history for TTM calculation — may return null metrics
- More than 12 tickers supplied — request rejected per schema maxItems constraint
- Invalid CIK format — parsing failure
- Payment not completed via x402 — 402 Payment Required response
- Assumptions object contains unrecognized keys — silently ignored or validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| prices | object | |
| tickers | array | US tickers or CIKs (comp set) |
| assumptions | object | Overrides: turns, coupon, min_cov, min_dscr, tax_rate, amort_pct |
Output
Schema · Response
{
"type": "json",
"example": {
"companies": [
{
"memo": {
"summary": [
"HCA: TTM EBITDA $15.67bn, gross leverage 3.06x ..."
]
},
"credit": {
"fcf_to_debt": 0.165,
"net_leverage": 3,
"gross_leverage": 3.06,
"interest_coverage": 6.97
},
"ticker": "HCA",
"structures": [
{
"dscr": 1.15,
"name": "base",
"leverage": 4.5,
"indicative_rating": "B+",
"interest_coverage": 2.61
}
],
"debt_capacity": {
"binding": "leverage",
"headline": 70515000000,
"implied_leverage": 4.5,
"at_peer_median_leverage": 51700000000
}
}
],
"assumptions": {
"turns": {
"v": 4.5,
"why": "Base-case leverage cap"
}
},
"peer_summary": {
"gross_leverage_median": 3.3
}
}
}Tags
x402
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