QuantOracle Risk Correlation Matrix is a paid API for AI agents from api.quantoracle.dev, paid per call via x402, $0.008/call, status unknown (last checked 2026-09-14).
Computes a pairwise correlation matrix and annualized volatilities for multiple asset return series
QuantOracle: risk/correlation
Returns a square N×N correlation matrix across all submitted assets, per-asset annualized volatility estimates, the list of asset identifiers in matrix order, the number of observations used, and server-side computation time in milliseconds.
POSThttps://api.quantoracle.dev/v1/risk/correlationUse this endpoint when you need to quantify the statistical co-movement and individual volatility of multiple assets simultaneously from raw return data. It is ideal for portfolio construction, risk decomposition, diversification analysis, or building correlation heatmaps. Prefer this over general-purpose statistics libraries when you need a finance-aware, low-latency, pay-per-call cloud computation without managing infrastructure.
{
"series": {
"ASSET_A": [
0.01,
-0.02,
0.005,
0.03,
0.015,
-0.01,
0.008,
-0.015,
0.002,
0.025,
0.012,
-0.008,
0.011,
-0.018,
0.004,
0.028,
0.014,
-0.009,
0.009,
-0.016,
0.003,
0.026,
0.013,
-0.007,
0.01,
-0.017,
0.006,
0.029,
0.011,
-0.01
],
"ASSET_B": [
0.008,
-0.015,
0.002,
0.025,
0.012,
-0.008,
0.007,
-0.012,
0.001,
0.022,
0.01,
-0.006,
0.009,
-0.014,
0.003,
0.024,
0.011,
-0.007,
0.008,
-0.013,
0.002,
0.023,
0.009,
-0.005,
0.01,
-0.015,
0.004,
0.026,
0.012,
-0.008
]
}
}| Field | Type | Description |
|---|---|---|
| series | object | Named return series, e.g. {"AAPL": [0.01, -0.02, ...], "MSFT": [...]} |
{
"n": 30,
"ms": 10.84,
"_meta": {
"url": "https://quantoracle.dev",
"docs": "https://api.quantoracle.dev/docs",
"powered_by": "QuantOracle"
},
"assets": [
"ASSET_A",
"ASSET_B"
],
"correlation": [
[
1,
0.9963
],
[
0.9963,
1
]
],
"volatilities": {
"ASSET_A": 0.237,
"ASSET_B": 0.1988
}
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