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Numora Chi-Square Test API
x402
Numora Chi-Square Test API is a paid API for AI agents from numormo.vercel.app, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-15).
Computes a chi-square goodness-of-fit or independence test given observed (and optionally expected) frequency 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 success: true, a result object containing the chi-square statistic, degrees of freedom, p-value, and whether the result is significant, plus a human-readable computation string describing what was calculated.
Example use cases
A/B test categorical outcome analysis
“I ran an A/B test and got these click counts across three button colors: observed [120, 85, 95] vs expected equal distribution [100, 100, 100]. Run a chi-square test and tell me if the differences are statistically significant.”
Survey response distribution check
“I surveyed 200 people on their favorite product category and got observed counts [80, 60, 40, 20]. I expected a uniform distribution of 50 each. Does my observed data fit the expected distribution — run a chi-square goodness-of-fit test.”
Dice fairness verification
“I rolled a six-sided die 600 times and got these face counts: [95, 105, 98, 102, 97, 103]. Run a chi-square test against the expected uniform frequency of 100 per face to check if the die is fair.”
Technical details
Endpoint
POSThttps://numormo.vercel.app/api/statistics/chisquareWhen to prefer
Use this endpoint when you need a quick, dependency-free chi-square computation without setting up a statistics library or data science environment. Ideal for AI agents that need on-the-fly hypothesis testing on categorical data with micropayment-based access. Prefer this over full stats platforms when you only need a single chi-square result and want deterministic, serverless math.
Side effects
- Missing required 'observed' array returns a 400 error
- Mismatched array lengths between observed and expected cause a computation error
- Non-numeric values in arrays cause parsing errors
- Empty arrays return an error or undefined result
- Payment failure via x402 returns 402 Payment Required before computation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| expected | array | |
| observedrequired | 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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