KiHustle Median Absolute Deviation Calculator

x402

KiHustle Median Absolute Deviation Calculator is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-13).

Computes the median absolute deviation (MAD) of a submitted array of numeric values

Price / call$0.002

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Output

Returns a JSON object containing the computed median absolute deviation (MAD) of the submitted numeric array, along with a success status indicator. The MAD value represents the median of the absolute differences between each data point and the median of the dataset, providing a robust measure of statistical dispersion.

Example use cases

Outlier detection in sensor data

“I have temperature readings from my IoT sensors: [22.1, 21.8, 22.3, 21.9, 45.7, 22.0, 22.4] — can you compute the median absolute deviation so I can flag any anomalous readings?”

Financial data dispersion analysis

“Calculate the median absolute deviation for these daily stock returns: [-0.02, 0.015, 0.008, -0.005, 1.23, 0.011, -0.003, 0.009] so I can spot unusual price movements.”

Robust spread for A/B test results

“I ran an A/B test and got these conversion times in seconds: [3.2, 3.5, 3.1, 3.4, 3.3, 18.7, 3.6, 3.2] — what's the median absolute deviation to understand the spread without the outlier throwing it off?”

Technical details

Endpoint

POSThttps://kihustle.tech/bot-bazaar/api/v1/json-median-abs-deviation?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need a robust, outlier-resistant measure of statistical spread for a numeric dataset. Prefer MAD over standard deviation when your data may contain outliers that would distort variance-based metrics. Ideal for anomaly detection pipelines, financial data analysis, sensor monitoring, and any scenario where a single extreme value should not dominate the dispersion estimate.

Side effects

Empty array input may return an error or undefined result
Non-numeric values in the array will likely cause a processing failure
Extremely large arrays may hit payload or timeout limits
Malformed JSON body will return a 400-level error
Single-element arrays may return a MAD of 0 or behave unexpectedly

Input

Schema · Request body

Field	Type	Description
values	array

Output

Schema · Response

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

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