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ONE Engine Z-Score Calculator
x402
ONE Engine Z-Score Calculator 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 z-scores (standard scores) for an array of numeric values, with optional scaling and offsetting controls.
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 z-scores for each input value, computed as (value - mean) / standard deviation. May include the computed mean, standard deviation, and the transformed array of standardized scores. Optional parameters allow clamping (min/max), controlling decimal precision (digits), and applying a scale factor and offset to the output scores.
Example use cases
Outlier detection in sensor data
“I have these temperature readings from my IoT sensors: [22.1, 21.8, 23.0, 45.7, 22.5, 21.9, 22.3] — can you compute z-scores so I can flag any readings that are more than 2 standard deviations from the mean? Give me 2 decimal places.”
Normalizing student test scores
“I need to standardize these exam scores so I can compare students across different test versions: [55, 72, 68, 91, 44, 83, 77, 60, 88, 50]. Can you calculate z-scores for them, rounded to 3 digits?”
Financial return comparison
“Compare these monthly portfolio returns by converting them to z-scores: [0.032, -0.015, 0.087, 0.004, -0.042, 0.061, 0.019]. Round to 4 decimal places so I can see which months were statistical outliers.”
Technical details
Endpoint
POSThttps://one-search.one-engine.workers.dev/v3/numeric/z-score/t9?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, cheap, pay-per-call z-score computation without standing up your own statistical infrastructure. Ideal for AI agents that occasionally need statistical normalization as part of a larger pipeline — the $0.018 USDC per-call pricing makes it economical for low-to-moderate volume. Prefer this over general-purpose math APIs when you specifically need z-score standardization with optional output clamping and scaling built in.
Side effects
- Empty or missing 'values' array returns a validation error
- Array exceeds 1000 elements triggers a size limit error
- Non-finite numbers (NaN, Infinity) in the array cause computation failure
- All values identical (zero standard deviation) may return NaN or division-by-zero error
- Payment failure via x402 returns HTTP 402 before computation occurs
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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