Outlier Detection (IQR & Z-Score) is a paid API for AI agents from agent402.tools, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-14).
Flags outliers in a numeric series using IQR (Tukey fences) or z-score method, returning outlier values, their indices, and the thresholds applied.
Flag outliers in a numeric series using either the IQR rule (Tukey fences at 1.5·IQR - robust, default) or z-score (|z| > threshold - assumes normality). Returns the outlier values + their indices + the thresholds used so you can decide whether to trust them.
Returns the outlier values, their zero-based indices in the input array, and the computed fence or threshold values (e.g., lower/upper Tukey fences for IQR, or z-score cutoff) so the caller can understand why each point was flagged.
POSThttps://agent402.tools/api/outliersChoose this endpoint when you need a quick, stateless outlier check on a numeric series without setting up a local stats library. Prefer IQR mode for skewed or non-Gaussian data; prefer zscore mode when the data is approximately normal. Ideal for data cleaning pipelines, anomaly alerting, or pre-processing steps inside an AI agent workflow.
| Field | Type | Description |
|---|---|---|
| method | string | "iqr" (default) or "zscore" |
| values | array | Numeric series (max 10000, at least 4 values) |
| threshold | number | IQR multiplier (default 1.5) or z-score cutoff (default 3) |
{
"type": "json",
"example": {
"n": 10,
"method": "iqr",
"outliers": [
{
"index": 9,
"value": 100
}
],
"threshold": 1.5,
"lowerBound": -4.625,
"upperBound": 14.375,
"outlierCount": 1
}
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