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SignalDesk AI Percentile Calculator
x402
SignalDesk AI Percentile Calculator is a paid API for AI agents from x402-agent.kariguetoazul.workers.dev, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-13).
Computes a percentile value from a list of numeric observations using R-7 linear interpolation
Price / call$0.001
Success—
StatusUnknown
How this service works
Evidence-backed autonomous AI jobs and paid data tools. Queue/D1/cron run outside the chat; free quotas and bounded execution apply.
Output
Returns a JSON object with a 'value' field containing the computed percentile as a number (using R-7 linear interpolation, the same method used by R, Excel, and NumPy by default), and a 'method' field confirming the interpolation algorithm used.
Example use cases
P99 latency from API traces
“I have a list of API response times in milliseconds — [45, 78, 120, 340, 210, 890, 450, 670, 130, 980] — can you calculate the 99th percentile so I know my worst-case latency?”
Salary benchmark for job offer
“Here are the salaries for similar roles I found: [85000, 92000, 78000, 110000, 95000, 102000, 88000, 76000, 99000]. What's the 75th percentile so I can see where the offer of $97,000 stands?”
Grade distribution cutoff
“I have these student test scores: [55, 62, 71, 80, 88, 91, 45, 73, 66, 83, 90, 77, 59, 85, 94]. What's the 80th percentile cutoff so I can set the A-grade threshold?”
Technical details
Endpoint
POSThttps://x402-agent.kariguetoazul.workers.dev/api/stats/percentile?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a statistically rigorous percentile calculation (R-7 linear interpolation, consistent with R, Excel, NumPy) on up to 1,000 observations without standing up your own compute. It is especially useful in agent pipelines where you want a paid, metered, reliable computation call rather than running local statistics code. Prefer it for performance monitoring (p95/p99 latency), grading, benchmarking, or any scenario where you need a single precise percentile rather than a full distribution summary.
Side effects
- Empty or missing 'values' array returns a validation error
- More than 1000 items in the array exceeds the maxItems limit and is rejected
- Values outside the range -1e15 to 1e15 fail schema validation
- Percentile outside 0-100 range returns a validation error
- Non-finite numbers (NaN, Infinity) in the values array may be rejected
- Malformed JSON body returns a 400-level error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| values | array | Up to 1000 finite observations. |
| percentile | number | Percentile 0..100. |
Output
Schema · Response
{
"type": "json",
"example": {
"value": 7.5,
"method": "R-7 linear interpolation"
}
}Tags
x402
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