Rolling Standard Deviation Calculator

x402

Rolling Standard Deviation Calculator is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-02).

Computes rolling (windowed) standard deviation over a series of numeric values

Price / call$0.002

Seller volume →—

Success—

StatusUnknown

How this service works

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Output

Returns a JSON object with a 'result' field indicating the processed rolling standard deviation output and a 'status' field confirming success. The exact array of windowed std dev values is nested in the result.

Example use cases

Financial volatility monitoring

“I have a list of daily stock closing prices [120.5, 118.3, 122.1, 119.8, 125.4, 123.0, 121.7] — can you compute the rolling standard deviation with a window of 5 to see how volatile the price has been?”

Sensor noise detection

“Here are temperature sensor readings over time: [22.1, 22.4, 23.0, 30.5, 22.8, 22.6, 23.1, 22.9] — run a rolling std dev with window size 4 so I can spot where the readings are unusually noisy.”

Sales trend smoothing

“I want to understand the variability in my weekly sales figures [500, 520, 480, 610, 490, 530, 510, 495] — compute the rolling standard deviation using a window of 3 weeks.”

Technical details

Endpoint

POSThttps://kihustle.tech/agents/api/v1/json-rolling-std-dev?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need a lightweight, pay-per-call rolling standard deviation computation without spinning up a local math library or data science environment. Ideal for agents that periodically need quick statistical dispersion metrics on streaming or batch numeric data without maintaining state.

Side effects

Invalid or empty values array returns an error
Window size larger than the values array causes computation failure
Non-numeric values in the array trigger a type validation error
Missing required fields returns a bad request response
Window size of zero or negative integer may cause undefined behavior

Input

Schema · Request body

Field	Type	Description
values	array
window	integer

Output

Schema · Response

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

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