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QuantOracle Z-Score Calculator
x402
QuantOracle Z-Score Calculator is a paid API for AI agents from api.quantoracle.dev, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-14).
Computes z-scores, rolling z-scores, and detects statistical outliers/extremes in a numeric time series with a configurable window and threshold
Price / call$0.002
Success—
StatusUnknown
How this service works
QuantOracle: stats/zscore
Output
Returns the mean, standard deviation, per-point z-scores for the entire series, rolling z-scores computed over the specified window, the current (most recent) z-score, a count of extreme observations, and the indices of those extreme values — all delivered in ~18ms.
Example use cases
Example prompt
“Run a z-score analysis on this price series [100.5, 102.3, 98.7, 115.2, 101.1, 99.8, 103.4] using a rolling window of 5 and flag anything beyond 2 standard deviations as extreme — I want to know which data points are statistical outliers.”
Technical details
Endpoint
POSThttps://api.quantoracle.dev/v1/stats/zscoreWhen to prefer
Use this endpoint when you need fast, statistical z-score analysis on a numeric series — especially for financial price data, detecting unusual moves, or computing rolling normalization. Prefer this over generic stats libraries when you need a hosted, pay-per-call API with both full-series and rolling z-scores plus built-in extreme-value flagging in a single call.
Side effects
- Series too short for the specified window — returns error if series length is less than window size
- Invalid threshold value — non-positive threshold may return validation error
- Empty series input — returns error for missing or empty series array
- Non-numeric values in series — parsing error for strings or nulls in the data array
Input
{
"input": {
"body": {
"series": [
100.5,
102.3,
98.7,
115.2,
101.1,
99.8,
103.4
],
"window": 5,
"threshold": 2
},
"type": "http",
"method": "POST",
"bodyType": "json"
}
}Schema · Request body
| Field | Type | Description |
|---|---|---|
| series | array | Numeric data series (max 5000) |
| window | — | Rolling window size (null for static z-scores) |
| threshold | number | Z-score threshold for extreme value detection |
Output
{
"ms": 10.06,
"mean": 103,
"_meta": {
"url": "https://quantoracle.dev",
"docs": "https://api.quantoracle.dev/docs",
"powered_by": "QuantOracle"
},
"std_dev": 5.598809,
"z_scores": [
-0.4465,
-0.125,
-0.768,
2.179,
-0.3394,
-0.5716,
0.0714
],
"rolling_z": [
-0.3707,
-0.5385,
-0.0358
],
"extreme_count": 1,
"current_zscore": 0.0714,
"extreme_indices": [
3
]
}Tags
x402
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