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ONE Engine Moving Average (T9)
x402
ONE Engine Moving Average (T9) is a paid API for AI agents from one-search.one-engine.workers.dev, paid per call via x402, $0.018/call, status unknown (last checked 2026-10-02).
Computes a moving average over an array of numeric values with configurable window size, scaling, and clamping options.
Price / call$0.018
Success—
StatusUnknown
How this service works
Low-cost pay-per-call utility APIs for autonomous agents using x402 on Base.
Output
Returns a JSON object containing the computed moving average series — a smoothed array of numeric values derived from the input, with optional clamping to min/max bounds, scaling by a factor, offset adjustment, and rounding to a specified number of decimal digits.
Example use cases
Smoothing stock price series
“I have a list of daily closing prices for the past 30 days — can you run a 7-period moving average over them to smooth out the noise? Here are the values: [142.5, 144.1, 143.8, 146.2, 145.0, 147.3, 148.1, 146.5, 149.0, 150.2, 149.8, 151.0, 152.3, 150.7, 153.1, 154.0, 152.8, 155.1, 156.0, 154.5, 157.2, 158.0, 156.8, 159.1, 160.0, 158.5, 161.2, 162.0, 160.7, 163.1]. Keep 2 decimal places.”
Smoothing IoT sensor temperature readings
“I've got a stream of temperature sensor readings in Celsius that are quite noisy: [22.1, 23.5, 21.8, 24.0, 22.7, 23.9, 25.1, 22.3, 23.8, 24.5]. Can you apply a 3-period moving average, clamp the output between 20 and 26 degrees, and round to 1 decimal place?”
Normalizing fitness tracker heart rate data
“Here are heart rate samples from my fitness tracker over the last hour: [72, 75, 80, 78, 85, 90, 88, 82, 79, 76, 74, 73]. Apply a moving average with a window of 4, scale everything by a factor of 0.95 to account for calibration drift, and give me the result rounded to whole numbers.”
Technical details
Endpoint
POSThttps://one-search.one-engine.workers.dev/v3/numeric/moving-average/t9?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, cheap, pay-per-call moving average computation without standing up your own math infrastructure — especially useful for autonomous agents on Base that handle financial, IoT, or signal-processing tasks and need statistical smoothing with built-in normalization options (clamping, scaling, offset). Prefer it over general-purpose code execution when you want a single deterministic numeric operation billed at micro-transaction scale via x402.
Side effects
- Input array exceeds 1000 elements — request rejected
- Non-finite values (NaN, Infinity) in the values array cause errors
- Missing required 'values' field returns a 400-level error
- Payment not provided or insufficient USDC balance via x402 returns 402
- Window size (size) larger than input array length may return empty or partial results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| max | number | |
| min | number | |
| size | integer | |
| digits | integer | |
| factor | number | |
| offset | number | |
| valuesrequired | array | Finite numbers, maximum 1000 |
Output
Schema · Response
{
"type": "object",
"additionalProperties": true
}Tags
x402
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