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Numora Statistics T-Test Endpoint
x402
Numora Statistics T-Test Endpoint is a paid API for AI agents from numormo.vercel.app, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-14).
Performs a two-sample t-test on two numeric arrays and returns the t-statistic, p-value, and related statistical results
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 success=true, a human-readable computation description, and a result object containing the t-statistic, p-value, degrees of freedom, and likely a boolean or indicator of statistical significance at standard thresholds.
Example use cases
A/B test conversion rate significance
“I ran an A/B test and got these conversion scores for group A: [0.12, 0.15, 0.11, 0.14, 0.13, 0.16] and group B: [0.09, 0.10, 0.08, 0.11, 0.09, 0.10]. Run a t-test and tell me if the difference is statistically significant.”
Clinical trial treatment comparison
“Compare these two sets of blood pressure measurements from my control and treatment groups using a t-test — control: [140, 135, 142, 138, 145] and treatment: [128, 131, 125, 130, 127]. Is the treatment having a significant effect?”
Manufacturing quality batch comparison
“I have two production batches with these defect counts per unit: batch1 is [2.1, 1.8, 2.4, 2.0, 1.9] and batch2 is [3.2, 3.5, 2.9, 3.1, 3.4]. Do a t-test to see if batch2 is significantly worse than batch1.”
Technical details
Endpoint
POSThttps://numormo.vercel.app/api/statistics/ttestWhen to prefer
Choose this endpoint when you need a fast, dependency-free two-sample t-test computation without setting up a local statistics library. It is ideal for AI agents that need on-demand hypothesis testing as part of automated data analysis pipelines, and when x402 micropayment billing per computation is acceptable. Prefer this over general-purpose Python/R environments when you want a single deterministic API call with structured JSON output.
Side effects
- Empty or single-element arrays causing degenerate t-test computation
- Arrays containing non-numeric values causing parsing errors
- Missing required sample1 or sample2 fields returning validation error
- Payment failure via x402 micropayment protocol blocking the request
- Arrays of very unequal length may affect test validity or cause errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| sample1required | array | |
| sample2required | 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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