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Numora Hypothesis Testing API
x402
Numora Hypothesis Testing API is a paid API for AI agents from numomo.vercel.app, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-13).
Performs statistical hypothesis tests (e.g. t-tests, z-tests) on a dataset with configurable test parameters such as mu and alpha.
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 human-readable computation description, and a result object containing the test statistic, p-value, conclusion about the null hypothesis, and other relevant test outputs such as degrees of freedom or critical value.
Example use cases
A/B test significance check
“I ran an experiment and got these response times in milliseconds: [210, 198, 225, 205, 215, 190]. Test whether the true mean response time is significantly different from 200ms at the 0.05 significance level.”
Quality control threshold test
“We sampled 8 widgets with weights [50.1, 49.8, 50.5, 49.7, 50.3, 49.9, 50.2, 50.0] grams. Can you run a hypothesis test to see if the process mean has drifted from the target of 50.0 grams using alpha 0.05?”
Clinical trial mean comparison
“Here are the post-treatment scores for 10 patients: [78, 82, 75, 88, 71, 85, 79, 83, 76, 80]. Test whether the average score is statistically different from the baseline of 74, using significance level 0.01.”
Technical details
Endpoint
POSThttps://numomo.vercel.app/api/statistics/hypothesisWhen to prefer
Choose this endpoint when you need a pure server-side, zero-dependency hypothesis test computation without setting up a Python/R statistical environment. Ideal for AI agents that need on-demand statistical significance testing as part of an automated workflow, especially when micropayment-per-call economics are acceptable and no statistical software stack is available.
Side effects
- Missing required 'data' array returns a validation error
- Empty or single-element array may cause division-by-zero or insufficient degrees of freedom
- Invalid parameter types (non-numeric mu or alpha) return an error
- Alpha outside (0,1) range may cause undefined behavior
- Payment failure via x402 results in 402 response before computation occurs
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| datarequired | array | |
| params | object | Test parameters (mu, alpha, etc.) |
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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