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PennyRail Number Stats – Mean & Median
x402
PennyRail Number Stats – Mean & Median 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 statistics (mean and median) for a provided array of numbers
Price / call$0.001
Success—
StatusUnknown
How this service works
Machine-readable settlement service
Output
Returns a JSON object containing computed statistical values including the mean (arithmetic average) and median (middle value) of the input numeric array. The response may also include additional descriptive statistics.
Example use cases
Survey response score analysis
“I have a list of survey scores from 50 respondents — [72, 88, 91, 65, 77, 83, 60, 95, 70, 85, 78, 88, 62, 74, 80] — can you calculate the mean and median so I can understand the typical response?”
Sales figure central tendency
“Here are our daily sales figures for the last two weeks: [1200, 1450, 980, 1700, 1350, 1600, 900, 1250, 1500, 1800, 1100, 1400, 1650, 1300]. What's the average and median daily sales?”
Sensor reading normalization check
“I've got a batch of temperature sensor readings [22.1, 21.8, 23.4, 22.7, 21.5, 24.1, 22.9, 21.2, 23.0, 22.5] — can you give me the mean and median so I can check if the distribution looks normal?”
Technical details
Endpoint
POSThttps://pennyrail.vercel.app/api/p/nano/number.stats--mean-medianWhen to prefer
Choose this endpoint when you need a quick, pay-per-use computation of mean and median for a numeric array without standing up your own statistics infrastructure. Ideal for lightweight agent workflows where you want to outsource basic statistical computation at $0.001 per call rather than embedding a math library. Best suited for one-off or low-frequency statistical lookups in agentic pipelines.
Side effects
- Empty input array returns an error or undefined result
- Non-numeric values in the array may cause computation failure or be ignored
- Missing required 'input' field returns a validation error
- Payment failure (x402) blocks the request before computation
- Very large arrays may time out depending on serverless execution limits
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | array |
Output
Schema · Response
{
"type": "object",
"additionalProperties": true
}Tags
x402
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