JSON Outlier Detector (IQR Method) is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-14).
Detects statistical outliers in a numeric array using the interquartile range (IQR) method
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Returns a JSON object indicating whether the request was processed successfully, along with outlier detection results identifying which values in the input array fall outside the IQR-defined bounds (typically Q1 - 1.5×IQR and Q3 + 1.5×IQR).
POSThttps://kihustle.tech/agents/api/v1/json-outlier-detector-iqrChoose this endpoint when you need a quick, stateless, pay-per-call outlier detection service using the well-established IQR (box plot) method on a flat numeric array. It is ideal for lightweight data cleaning pipelines, pre-processing steps before analytics, or ad-hoc anomaly checks where you do not need a full ML-based anomaly detection system. Prefer this over heavier statistical libraries when operating in an agent workflow that needs a simple, fast API call rather than embedded computation.
| Field | Type | Description |
|---|---|---|
| values | array |
{
"type": "json",
"example": {
"result": "processed",
"status": "success"
}
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