# Numora Outlier Detection

> Numora Outlier Detection is a paid API for AI agents from numormor.netlify.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

## Facts

- Endpoint: POST https://numormor.netlify.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-outlier-detection-05b6a426
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_kGjKRtP2ViyrDSOHyIwKp

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-outlier-detection-05b6a426 -d '<json body>'
```

Example prompt: Find the outliers in this dataset using the IQR method: [2, 3, 4, 3, 5, 100, 2, 4, 3, 98, 4, 3].

## When to prefer this

Use this endpoint when you need a lightweight, zero-dependency statistical outlier detection on a numeric array without setting up a data science library. Ideal for AI agents performing data cleaning, anomaly flagging, or validation steps in a pipeline where only math computation is needed and no external data sources are required.

## Known failure modes

- Missing required 'data' array returns error
- Empty data array may return no outliers or error
- Non-numeric values in data array cause computation failure
- Invalid method string causes fallback to default or error
- Payment failure via x402 returns 402 status 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 success flag, a result object containing identified outlier values and their indices or statistical thresholds, and a human-readable computation description explaining what was computed and how.

## 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-outlier-detection-05b6a426/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from numormor.netlify.app](https://www.zero.xyz/host/numormor.netlify.app/llms.txt)