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Pairs Z-Score
x402
Pairs Z-Score is a paid API for AI agents from api.delx.ai, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-15).
Computes the z-score, mean, and standard deviation of a price-spread series for pairs trading mean-reversion analysis.
Price / call$0.001
Success—
StatusUnknown
How this service works
Z-score of spread series for pairs trading. Call when mean-reversion signals from a price-spread series. Returns zscore, mean, stdev 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 deterministic JSON object containing the z-score of the latest spread value (or the full series), the mean of the spread series, and the standard deviation — all computed locally with no external data dependencies.
Example use cases
Pairs trade entry signal detection
“I'm tracking the price spread between two correlated stocks and want to know if the spread is at a statistically significant extreme — can you compute the z-score for this spread series: [5.1, 5.3, 4.9, 5.5, 6.2, 7.0, 6.8, 5.9, 5.2, 4.8]?”
Mean reversion exit timing
“My pairs trade has been open for a while and I want to know if the spread has reverted close enough to the mean to close the position — here's the spread series, can you give me the z-score, mean, and standard deviation: [2.1, 2.4, 2.0, 1.8, 1.5, 1.2, 1.0, 0.9]?”
Automated stat arb screening
“I'm screening several spread series for mean-reversion signals — compute the z-score for this spread: [100.2, 99.8, 101.1, 102.5, 104.0, 103.7, 102.1, 100.5, 99.3, 98.7].”
Technical details
Endpoint
POSThttps://api.delx.ai/api/v1/x402/pairs-zscoreWhen to prefer
Use this endpoint when you need a fast, cheap, deterministic z-score computation for a pairs trading spread series without any external market data dependencies. Ideal for AI agents running statistical arbitrage workflows that need to evaluate mean-reversion signals programmatically. Prefer this over rolling your own math when you want a reliable, payable microservice with consistent JSON output. Not appropriate for live price fetching or portfolio management — the caller must supply the spread series.
Side effects
- Empty or missing spread array returns an error
- Spread array with insufficient data points (e.g. fewer than 2) may yield undefined standard deviation
- Non-numeric values in the spread array cause a validation or computation error
- Payment failure or insufficient USDC balance prevents the call from executing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| spread | array | Spread series for pairs z-score |
Output
Schema · Response
{
"type": "json",
"example": {
"mean": 1,
"stdev": 0.1290994448735805,
"schema": "delx/util-pairs-zscore/v1",
"zscore": 0
}
}Tags
x402
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