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Numora Outlier Detection API
x402
Numora Outlier Detection API is a paid API for AI agents from numomo.vercel.app, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-14).
Detects statistical outliers in a numeric dataset using configurable methods, returning flagged values and their positions.
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 identified outlier values and their indices within the input array, and a 'computation' string describing what was computed in human-readable form.
Example use cases
Quality control in manufacturing data
“I have a batch of sensor readings from our production line: [102, 98, 101, 99, 250, 100, 103, 97, 101]. Can you find the outliers so I know which readings to flag for review?”
Cleaning student test score data
“Here are student exam scores: [78, 82, 80, 79, 3, 81, 77, 83, 80, 79]. Can you detect the statistical outliers in this list so I can identify data entry errors?”
Financial anomaly detection
“I have daily transaction amounts for the past two weeks: [500, 520, 510, 505, 4800, 515, 498, 507, 512, 503, 495, 518, 509, 501]. Please detect any outlier transactions using the IQR method.”
Technical details
Endpoint
POSThttps://numomo.vercel.app/api/statistics/outlierWhen to prefer
Choose this endpoint when you need a fast, serverless, zero-dependency outlier detection computation on a numeric array and want a simple POST interface with micropayment access. Ideal for agents that need on-demand statistical anomaly detection without setting up a data science environment or calling a heavier analytics platform. Prefer it over general-purpose Python execution when you want a deterministic, pre-built statistical computation with predictable cost per call.
Side effects
- Empty data array returns an error or empty result
- Non-numeric values in the array may cause computation failure
- Unrecognized 'method' string may fall back to default or return an error
- Datasets that are too small (e.g. fewer than 4 values) may not support meaningful outlier detection
- Payment failure via x402 will block the request entirely
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| datarequired | array | |
| method | string |
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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