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Numora Descriptive Statistics API
x402
Numora Descriptive Statistics 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 descriptive statistics (mean, median, mode, variance, standard deviation, etc.) for a numerical dataset
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 flag, a human-readable computation description, and a result object containing descriptive statistics (e.g. mean, median, mode, variance, standard deviation, min, max, count) computed from the input numerical array.
Example use cases
Student grade distribution analysis
“I have a list of student exam scores: [78, 85, 92, 61, 74, 88, 95, 70, 83, 67]. Can you calculate the descriptive statistics so I can understand how the class performed overall?”
Financial return spread calculation
“Here are monthly portfolio returns for the past year: [2.1, -0.8, 3.4, 1.2, -1.5, 4.0, 0.6, 2.9, -0.3, 1.8, 3.1, 2.5]. Give me the full descriptive stats — mean, variance, standard deviation — so I can assess the volatility.”
Sensor data quality summary
“I've got a batch of temperature sensor readings: [22.1, 22.4, 21.9, 23.0, 22.7, 21.5, 22.8, 23.2, 22.0, 21.8]. Run descriptive statistics on them so I can check if the readings are consistent and within expected range.”
Technical details
Endpoint
POSThttps://numormo.vercel.app/api/statistics/descriptiveWhen to prefer
Choose this endpoint when you need fast, serverless, zero-dependency descriptive statistics computation on a numerical array without integrating a full data science library or sending data to an external analytics platform. Ideal for AI agents that need lightweight statistical summaries inline within a workflow, especially when paying per-call via x402 micropayments is acceptable and no persistent state or charting is required.
Side effects
- Empty or missing data array returns validation error
- Non-numerical values in the array may cause computation failure
- Single-element arrays may produce undefined variance/standard deviation
- Malformed request body returns HTTP 400
- Network or server timeout on very large arrays
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| datarequired | array | Numerical dataset |
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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