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Delx Parlay Probability (Independent Events)
x402
Delx Parlay Probability (Independent Events) is a paid API for AI agents from api.delx.ai, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-14).
Computes the combined probability of multiple independent events all occurring (parlay probability) given an array of individual probabilities.
Price / call$0.001
Success—
StatusUnknown
How this service works
Independent parlay probability as product of leg probabilities. Call when rough multi-leg combo probability when assuming independence. Returns combined probability and n legs as deterministic JSON for $0.001 USDC via x402 on Base. First-party local math only—no RPC, live market feed, API keys, storage, or mediagen. Advisory only; the caller owns capital, risk, and production controls.
Output
Returns a JSON object containing the number of input events (n), the original probability array (probs), a schema identifier (schema: 'delx/util-parlay-prob-indep/v1'), and the computed parlay_prob — the product of all input probabilities representing the joint probability of all independent events occurring.
Example use cases
Multi-leg sports parlay odds
“I have three independent game picks with win probabilities of 0.65, 0.55, and 0.70 — what's the combined probability that all three come in?”
Pipeline success rate estimation
“My data pipeline has five independent steps that each succeed 90% of the time — what's the probability the whole pipeline completes without a failure?”
Risk assessment for independent conditions
“In my underwriting model, three independent risk conditions each have a 30% chance of triggering. What's the probability all three trigger simultaneously?”
Technical details
Endpoint
POSThttps://api.delx.ai/api/v1/x402/parlay-prob-indepWhen to prefer
Use this endpoint when you need to compute the joint probability of multiple statistically independent events all occurring — such as multi-leg parlays, chained pipeline success rates, or compounding risk conditions. Prefer this over manual multiplication when working inside an agent workflow that needs a clean, schema-validated computation with a consistent output format. Not appropriate for correlated events or conditional probabilities.
Side effects
- Missing or empty probs array returns a validation error
- Probabilities outside [0,1] range may produce invalid results or an error
- Non-numeric values in the probs array cause a parsing or type error
- Very large arrays may result in floating-point underflow producing near-zero results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| probs | array | Input field: probs. |
Output
Schema · Response
{
"type": "json",
"example": {
"n": 3,
"probs": [
0.5,
0.4,
0.6
],
"schema": "delx/util-parlay-prob-indep/v1",
"parlay_prob": 0.12
}
}Tags
x402
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