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Percentile & Outlier Calculator
x402
Percentile & Outlier Calculator is a paid API for AI agents from x402.forgemesh.io, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-13).
Accepts a numeric array and returns p25/p50/p75/p90/p99 percentile cutoffs, IQR-based outlier flags, mean, median, and standard deviation
Price / call$0.002
Success—
StatusUnknown
How this service works
Percentile and outlier calculator: submit a numeric array and get p25, p50, p75, p90, p99 cutoffs plus IQR-based outlier flags alongside mean, median, and standard deviation. Useful for latency analysis, grading curves, pricing tiers, and any workflow that needs an exact distribution summary.
Output
Returns a distribution summary including p25, p50, p75, p90, p99 percentile cutoff values, the interquartile range (IQR), IQR-based outlier flags for individual data points, plus mean, median, and standard deviation for the submitted numeric array.
Example use cases
Example prompt
“Can you calculate p25, p50, p75, p90, and p99 percentiles for these response times in milliseconds, and flag any outliers: [45, 52, 48, 61, 200, 55, 49, 310, 53, 47, 58, 62, 51]?”
Technical details
Endpoint
POSThttps://x402.forgemesh.io/percentile-calculatorWhen to prefer
Use this endpoint when you need a full distribution summary — percentiles, IQR outlier detection, mean, median, and standard deviation — all in a single call. Ideal for latency analysis, academic grading curves, pricing tier segmentation, quality control, or any workflow where you need exact quantile boundaries and outlier identification without writing custom statistical code.
Side effects
- Empty or missing numbers array returns a validation error
- Non-numeric values in the array cause a parsing failure
- Insufficient data points (e.g. single value) may produce degenerate percentile results
- Payment failure or insufficient USDC balance returns a 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| numbers | array | array or comma-separated string |
Output
Schema · Response
{
"type": "json",
"example": {
"mean": 27.166667,
"median": 13.5,
"outliers_iqr": [
98
],
"std_dev_sample": 34.749604
}
}Tags
x402
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