# Numora Statistics Outlier Detection API

> Numora Statistics Outlier Detection 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).

Detects outliers in a numeric dataset using IQR or Z-score statistical methods

## Facts

- Endpoint: POST https://numormo.vercel.app/api/statistics/outlier
- Price: $0.1/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/numora-statistics-outlier-detection-api-62095f13
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_KoSpQyDu_KsJ9J16hDnu5

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability numora-statistics-outlier-detection-api-62095f13 -d '<json body>'
```

Example prompt: Can you find the outliers in this dataset [2, 3, 4, 5, 100, 3, 4, 2, 98, 3] using the IQR method?

## When to prefer this

Choose this endpoint when you need a deterministic, dependency-free statistical outlier detection on a numeric array without needing to run code locally or invoke a heavy ML service. Ideal for data cleaning pipelines, anomaly flagging in small-to-medium datasets, and situations where you want a choice between classic IQR (robust to skew) and Z-score (assumes normality) methods with a clear, interpretable result.

## Known failure modes

- Empty or missing data array returns validation error
- Non-numeric values in array cause computation failure
- Invalid method enum value (not 'iqr' or 'zscore') returns error
- Single-element arrays may not support meaningful outlier detection
- Payment failure via x402 micropayment returns 402 error before computation

## 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 human-readable computation description, and a result object containing identified outlier values, their indices in the original array, and relevant statistical thresholds (e.g. IQR bounds or Z-score cutoffs) used to classify them.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "data"
 ],
 "properties": {
  "data": {
   "type": "array"
  },
  "method": {
   "enum": [
    "iqr",
    "zscore"
   ],
   "type": "string"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "success",
  "result",
  "computation"
 ],
 "properties": {
  "result": {
   "type": "object",
   "description": "Computation result varies by endpoint"
  },
  "success": {
   "type": "boolean",
   "description": "Always true on success"
  },
  "computation": {
   "type": "string",
   "description": "Human-readable description of what was computed"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/numora-statistics-outlier-detection-api-62095f13/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from numormo.vercel.app](https://www.zero.xyz/host/numormo.vercel.app/llms.txt)