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Numora Statistical Distribution Computation
x402
Numora Statistical Distribution Computation 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 statistical distribution parameters and properties (PDF, CDF, mean, variance, etc.) for normal, binomial, Poisson, or uniform distributions
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 computed distribution properties (such as PDF/PMF values, CDF, mean, variance, standard deviation, and other distribution-specific statistics), and a human-readable computation string describing what was calculated.
Example use cases
Exam score probability modeling
“I have exam scores that follow a normal distribution with mean 72 and standard deviation 8 — can you compute the distribution properties so I can figure out probabilities around the curve?”
Defect rate binomial analysis
“Model a binomial distribution for a quality control scenario where I run 50 trials and each part has a 0.03 probability of being defective — give me the mean, variance, and distribution stats.”
Customer arrivals Poisson model
“Compute a Poisson distribution with lambda equal to 4.5 arrivals per hour — I need the mean, variance, and probability mass function values for my queuing model.”
Technical details
Endpoint
POSThttps://numormo.vercel.app/api/statistics/distributionWhen to prefer
Choose this endpoint when you need pure server-side statistical distribution computation with no external dependencies — ideal for AI agents that need fast, reliable math without calling a data provider or running code locally. Prefer this over general-purpose code execution when you want a structured JSON result with named distribution properties. Best suited for well-known parametric distributions (normal, binomial, Poisson, uniform).
Side effects
- Missing required 'type' field returns validation error
- Invalid distribution type (not one of normal/binomial/poisson/uniform) returns error
- Missing required params for a given distribution type (e.g. lambda for Poisson) may return error or default behavior
- Malformed params object returns parse error
- Payment failure via x402 returns 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| typerequired | string | |
| params | object |
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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