# Numora Outlier Detection Endpoint

> Numora Outlier Detection Endpoint is a paid API for AI agents from numorapoi.orbonomy.xyz, paid per call via x402, $0.03/call, status unknown (last checked 2026-09-14).

Identifies statistical outliers in a numeric dataset using configurable detection methods

## Facts

- Endpoint: POST https://numorapoi.orbonomy.xyz/api/statistics/outlier
- Price: $0.03/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-endpoint-a31f50d3
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_tF9RnYzFVDOh0Csb3Xm4G

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-endpoint-a31f50d3 -d '<json body>'
```

Example prompt: Find the statistical outliers in this dataset: [2, 3, 2.5, 100, 3.1, 2.8, 99, 2.9, 3.2] — use the IQR method.

## When to prefer this

Use this endpoint when you need a pure math, stateless outlier detection computation with no external dependencies, especially in automated agent pipelines that support x402 micropayments. Prefer it over ML-based anomaly detection services when you need lightweight, deterministic statistical outlier identification (IQR, z-score, etc.) on a numeric array.

## Known failure modes

- Missing required 'data' field returns validation error
- Empty array returns error or no outliers found
- Non-numeric values in the data array cause computation failure
- Unrecognized method string may default or return an error
- Payment failure via x402 returns 402 with payment details

## 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 result object containing identified outlier values and/or their indices within the input array, and a human-readable computation string describing what was calculated.

## 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-endpoint-a31f50d3/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from numorapoi.orbonomy.xyz](https://www.zero.xyz/host/numorapoi.orbonomy.xyz/llms.txt)