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Numora Statistics Correlation Endpoint
x402
Numora Statistics Correlation Endpoint is a paid API for AI agents from numormor.netlify.app, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-15).
Computes the statistical correlation coefficient between two numeric arrays
Price / call$0.1
Success—
StatusUnknown
How this service works
100 pure math computation endpoints for AI agents. Statistics, financial math, linear algebra, equation solving, calculus, number theory, sequence generation, and unit conversions. Zero external dependencies. x402 micropayments on Base.
Output
Returns a JSON object with a success boolean, a result object containing the correlation coefficient and possibly related statistics, and a human-readable computation string describing what was calculated.
Example use cases
Example prompt
“Can you calculate the statistical correlation between these two datasets for me — x is [10, 20, 30, 40, 50] and y is [12, 24, 28, 44, 53]?”
Technical details
Endpoint
POSThttps://numormor.netlify.app/api/statistics/correlationWhen to prefer
Choose this endpoint when you need a fast, serverless, zero-dependency computation of statistical correlation between two numeric arrays without setting up a local math library. Ideal for AI agents needing on-demand pure math computation paid per-call via x402 micropayments on Base.
Side effects
- Missing x or y array returns 400 validation error
- Arrays of unequal length may return an error or NaN result
- Empty arrays cause computation failure
- Non-numeric values in arrays cause type errors
- Payment not provided or insufficient USDC triggers 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| xrequired | array | |
| yrequired | array |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| resultrequired | object | Computation result varies by endpoint |
| successrequired | boolean | Always true on success |
| computationrequired | string | Human-readable description of what was computed |
Tags
x402
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