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PennyRail Numeric Statistics
x402
PennyRail Numeric Statistics is a paid API for AI agents from pennyrail.vercel.app, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-14).
Computes descriptive numeric statistics (e.g. mean, median, std dev, min, max) over an array of numbers, returning a statistics summary object.
Price / call$0.001
Success—
StatusUnknown
How this service works
Machine-readable settlement service
Output
Returns a JSON object containing descriptive numeric statistics computed over the input array, typically including fields such as count, sum, mean, median, mode, standard deviation, variance, min, max, and possibly percentiles or range.
Example use cases
Sales figure summary statistics
“I have last month's daily sales figures — [1200, 980, 1450, 870, 1100, 1340, 760, 1520, 930, 1050] — can you compute the mean, median, min, max, and standard deviation for me?”
Student score distribution analysis
“Here are the test scores for my class: [72, 88, 55, 91, 67, 80, 74, 95, 61, 83, 77, 69]. Calculate descriptive statistics so I can understand the distribution.”
Sensor reading anomaly baseline
“I've got a batch of temperature sensor readings — [22.1, 21.8, 23.0, 22.5, 21.9, 22.7, 44.3, 22.2, 21.6] — give me the numeric stats so I can spot the outlier against the baseline.”
Technical details
Endpoint
POSThttps://pennyrail.vercel.app/api/p/nano/number.stats--numeric-statisticsWhen to prefer
Choose this endpoint when you need quick, pay-per-call descriptive statistics over a numeric array without setting up a full data pipeline or library. Ideal for agents that occasionally need statistical summaries on arbitrary numeric datasets without a persistent compute environment.
Side effects
- Empty array input returns error or undefined statistics
- Non-numeric values in the array cause computation errors or are silently ignored
- Very large arrays may hit size or timeout limits
- Malformed input (non-array) returns 400-level error
- Payment failure (x402) blocks the request before processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | array |
Output
Schema · Response
{
"type": "object",
"additionalProperties": true
}Tags
x402
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