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Numora Moving Average Calculator
x402
Numora Moving Average Calculator 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 simple (SMA), exponential (EMA), or weighted (WMA) moving averages over a numeric data array with a specified window size
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 'result' object containing the computed moving average values (typically an array of averaged outputs aligned to the input series), and a 'computation' string describing what was calculated in human-readable form.
Example use cases
Stock price trend smoothing
“Compute a 20-period SMA on these daily closing prices so I can identify the trend: [210, 212, 208, 215, 217, 214, 219, 221, 218, 222, 225, 223, 220, 226, 228, 230, 227, 229, 231, 233, 235, 234, 236, 238, 240].”
Sensor data noise reduction
“I have 15 noisy temperature readings from a sensor — can you apply a 5-point weighted moving average (WMA) to smooth them out? The readings are: [72.1, 73.5, 71.8, 74.2, 73.9, 75.1, 74.7, 76.3, 75.8, 77.0, 76.5, 78.1, 77.6, 79.2, 78.8].”
Weekly sales momentum tracking
“Calculate a 4-week exponential moving average on these weekly revenue figures so I can track momentum: [12000, 13500, 11800, 14200, 15100, 14700, 16300, 15900, 17200, 16800, 18000, 17500].”
Technical details
Endpoint
POSThttps://numormo.vercel.app/api/statistics/moving-averageWhen to prefer
Choose this endpoint when you need server-side, dependency-free moving average computation without setting up a local math library. Ideal for AI agents that need on-demand statistical smoothing in pipelines where installing numpy/pandas is not feasible. Supports SMA, EMA, and WMA variants in a single call, making it versatile for financial, scientific, and IoT use cases. Use over generic computation services when you want a specialized, pay-per-use math API with no setup overhead.
Side effects
- Missing required 'data' array or 'window' integer returns a validation error
- Window size larger than data array length may return an error or empty result
- Non-numeric values in the data array may cause computation failure
- Invalid 'type' enum value (not sma/ema/wma) causes rejection
- Empty data array returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| datarequired | array | |
| type | string | |
| windowrequired | integer |
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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