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falcon.sol comps — LBO Model
x402
falcon.sol comps — LBO Model is a paid API for AI agents from falcon-comps.falcon-sol.workers.dev, paid per call via x402, $4.49/call, status unknown (last checked 2026-10-31).
Runs a leveraged buyout (LBO) analysis for a given ticker using SEC EDGAR financials, returning IRR, MOIC, debt structure, sensitivity tables, and a deal memo
Price / call$4.49
Success—
StatusUnknown
How this service works
Standardized financials and trading comps from SEC EDGAR, paid per call with x402.
Output
Returns a JSON object containing: base-case and scenario LBO return metrics (IRR, MOIC, entry/exit EV and multiples, debt amount, sponsor equity, sources & uses table), a 3×3 IRR sensitivity matrix across debt turns and exit multiples, all assumption overrides with plain-English rationale, and a deal memo with bullet-point summary and key risk factors.
Example use cases
PE fund evaluating hospital buyout
“Model an LBO on HCA Healthcare using ticker HCA, assume a 30% control premium, 4.5 turns of debt at 7% coupon, a 5-year hold, and use UHS, THC, and CYH as comps for the exit multiple — show me IRR and MOIC across a sensitivity table.”
Investment banking pitch deck prep
“I need LBO return analysis for Envision Healthcare — ticker EVHC — at current market price, with 5x leverage, 8x exit multiple, and peers AMSG and TEAM. Give me the IRR, MOIC, and the deal memo summary with key risks.”
Screening buyout candidates by return
“Run a quick LBO on Dollar Tree (ticker DLTR) at a 25% premium, 4 turns of debt, and a 9x exit multiple after 5 years with a 70% cash sweep — I want to see whether the base-case IRR clears 15% and how sensitive it is to exit multiple movement.”
Technical details
Endpoint
POSThttps://falcon-comps.falcon-sol.workers.dev/v1/lbo?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a full LBO financial model grounded in real SEC EDGAR filings rather than estimated or synthetic data. It is ideal for private equity deal screening, investment banking pitch support, or any agent workflow that needs standardized debt-capacity analysis, IRR/MOIC returns, and a sensitivity table — all in a single paid API call. Prefer it over building a manual DCF or scraping EDGAR yourself when speed and standardization matter. The $4.49/call pricing makes it appropriate for high-value deal workflows rather than bulk screening of hundreds of tickers.
Side effects
- Invalid or unrecognized ticker — SEC EDGAR data not found, returns error
- More than 8 peer tickers provided — rejected by schema validation
- Missing required fields (ticker or price) — returns 400-level error
- SEC EDGAR financials unavailable or stale for the given company
- Payment not completed via x402 — request blocked before processing
- Assumptions object contains unrecognized keys — may be silently ignored or rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| peers | array | Comps used for the exit multiple (peer median EV/EBITDA) |
| price | number | |
| ticker | string | |
| assumptions | object | Overrides: premium, turns, coupon, growth, years, sweep_pct, fees_pct, tax_rate |
| exit_multiple | number |
Output
Schema · Response
{
"type": "json",
"example": {
"memo": {
"summary": [
"..."
],
"key_risks": []
},
"ticker": "HCA",
"returns": [
{
"irr": 0.137,
"debt": 70515000000,
"moic": 1.9,
"entry_ev": 152000000000,
"structure": "base",
"sources_uses": {
"sources": {
"debt": 70515000000,
"sponsor_equity": 83000000000
}
},
"exit_multiple": 8.9,
"entry_multiple": 9.7
}
],
"assumptions": {
"premium": {
"v": 0.3,
"why": "Control premium"
}
},
"sensitivity_irr": {
"irr": [
[
0.08,
0.11,
0.13
],
[
0.1,
0.137,
0.16
],
[
0.12,
0.16,
0.19
]
],
"debt_turns": [
3.5,
4.5,
5.5
],
"exit_multiples": [
7.9,
8.9,
9.9
]
}
}
}Tags
x402
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