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Numora Z-Score Computation API
x402
Numora Z-Score Computation API is a paid API for AI agents from numormo.vercel.app, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-14).
Computes the Z-score (standard score) for a dataset, returning standardized values indicating how many standard deviations each data point is from the mean.
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 flag, a result object containing the array of z-scores corresponding to each input value (and likely summary stats like mean and standard deviation), and a human-readable computation description string explaining what was calculated.
Example use cases
Outlier detection in test scores
“I have a set of student exam scores — [45, 78, 82, 91, 39, 88, 76, 95, 41, 84] — can you compute the z-scores so I can identify which scores are statistical outliers?”
Preprocessing data for ML model
“Before I feed this dataset into my model, I need to standardize these feature values using z-scores: [120, 340, 275, 198, 412, 155, 290, 365]. Can you calculate the z-scores for me?”
Comparing performance across distributions
“I have monthly sales figures [22000, 31500, 28000, 19500, 35000, 27000, 24500] and I want to see which months performed best relative to our average — compute the z-scores for each value.”
Technical details
Endpoint
POSThttps://numormo.vercel.app/api/statistics/zscoreWhen to prefer
Choose this endpoint when you need a serverless, dependency-free z-score computation that requires no API key setup beyond x402 micropayments — ideal for AI agents that need on-demand statistical standardization without maintaining a statistics library or running a data science environment. Best for quick, isolated computations on small to medium datasets where spinning up a full data processing pipeline is overkill.
Side effects
- Empty data array returns validation error
- Single-element array produces undefined z-score (zero standard deviation)
- Non-numeric values in the array cause a type error
- Insufficient funds or payment failure returns 402 error
- Array with all identical values yields division-by-zero (all z-scores = 0 or NaN)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| datarequired | 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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