finmath Correlation is a paid API for AI agents from finmath.qzqh5rrbkz.workers.dev, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-15).
Computes the Pearson correlation coefficient between two numerical arrays using exact arithmetic
Deterministic finance and crypto math for AI agents: TradFi (NPV, IRR, XIRR, Black-Scholes + Greeks, bonds, VaR, Sharpe) and DeFi (impermanent loss, perp liquidation, funding, Uniswap v3, health factor, cost basis). Exact, model-free arithmetic that LLMs get wrong — priced per call in USDC.
Returns a result object containing the computed Pearson correlation coefficient between the two input arrays, along with a meta object with call metadata. The correlation value is a deterministic, exact arithmetic result between -1 and 1.
POSThttps://finmath.qzqh5rrbkz.workers.dev/v1/correlationUse this endpoint when you need a deterministic, exact correlation computation rather than relying on an LLM's approximate arithmetic. Ideal for financial return series, portfolio analytics, risk factor correlation, or any quantitative workflow where numeric precision matters. Prefer this over general-purpose LLM math when the arrays have many elements or precision is critical.
{
"x": [
0.02,
-0.01,
0.03,
0.05,
-0.02,
0.01
],
"y": [
0.015,
-0.005,
0.025,
0.04,
-0.01,
0.008
]
}| Field | Type | Description |
|---|---|---|
| xrequired | array | x |
| yrequired | array | y |
{
"meta": {
"tool": "correlation",
"disclaimer": "Deterministic calculation utility. Not financial, investment, or trading advice.",
"deterministic": true
},
"result": 0.9962175012779345
}| Field | Type | Description |
|---|---|---|
| metarequired | object | |
| resultrequired | — |
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