KiHustle JSON Anomaly Window Detector

x402

KiHustle JSON Anomaly Window Detector is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-22).

Detects anomalies in a sliding window of numeric values using a configurable threshold

Price / call$0.002

Seller volume →—

Success—

StatusUnknown

How this service works

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Output

Returns a JSON object indicating whether anomalies were detected in the submitted numeric window, along with a processing status field confirming success. The result field reflects the computed outcome of the anomaly scan.

Example use cases

Detect spikes in sales data

“I have a list of daily sales figures for the past 30 days and want to find unusual spikes — can you run a sliding window anomaly scan on them with a window of 7 days and a threshold of 3.0?”

Monitor IoT sensor outliers

“These are temperature readings from my IoT device over the last hour: [21.1, 21.3, 21.0, 78.5, 21.2, 21.4] — can you check for anomalies using a window of 4 and a threshold of 2.0?”

Flag anomalous website traffic

“Here are my hourly page view counts: [500, 510, 495, 503, 1450, 498, 501] — can you run a window anomaly detection with window size 5 and threshold 2.5 to see if that big spike is a real outlier?”

Technical details

Endpoint

POSThttps://kihustle.tech/agents/api/v1/json-anomaly-window?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need a lightweight, low-cost ($0.002 per call) sliding window anomaly detection over a numeric sequence and do not require a full-featured time-series platform. It is best suited for simple outlier flagging tasks where you can specify a window size and numeric threshold directly.

Side effects

Missing or empty 'values' array returns an error or unprocessed result
Non-numeric values in the array may cause a processing failure
Window size larger than the values array length may produce undefined behavior
Threshold not provided may default to an unspecified value, leading to unexpected results
Malformed JSON body returns a 400-level error

Input

Schema · Request body

Field	Type	Description
values	array
window	integer
threshold	number

Output

Schema · Response

{
  "type": "json",
  "example": {
    "result": "processed",
    "status": "success"
  }
}

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