# KiHustle Mad Outlier Clip — Statistical Outlier Detection

> KiHustle Mad Outlier Clip — Statistical Outlier Detection is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-14).

Identifies outlier values from a numeric array using a parameterized threshold k, returning a processed result indicating which values deviate significantly from the dataset.

## Facts

- Endpoint: POST https://kihustle.tech/bot-bazaar/api/v1/json-mad-outlier-clip?utm_source=zero.xyz
- Price: $0.002/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/kihustle-mad-outlier-clip-statistical-outlier-detection-07adcd1b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_M-lqanSCvwt7HJmRfjoQV

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 kihustle-mad-outlier-clip-statistical-outlier-detection-07adcd1b -d '<json body>'
```

Example prompt: Can you run outlier detection on this array [12, 14, 13, 200, 11, 15, 9] with a threshold k of 3 and tell me which values are flagged as outliers?

## When to prefer this

Choose this endpoint when you need a lightweight, pay-per-call outlier detection computation on a numeric array with a configurable sensitivity parameter k, especially in automated pipelines where spinning up a local stats library is impractical. It is less appropriate when you need detailed per-element outlier scores, visualization, or access to the underlying statistical method used.

## Known failure modes

- Missing or non-numeric values array causes invalid input error
- k parameter not provided or set to zero may produce undefined behavior
- Empty array input may return an error or trivial result
- Malformed JSON body returns 400 or similar error
- Very large arrays may time out or be truncated

## How this service works

Kostenlose Guides, Solo-Playbooks und Artikel zu KI, Automation und Side Hustles — für Menschen, die mit echten Systemen online Einkommen aufbauen wollen. Transparent finanziert über faire Affiliate-Links.

## Output

Returns a JSON object with a 'result' field (e.g. 'processed') and a 'status' field indicating success. The actual outlier information is embedded in the processed result, though the exact format of flagged values is not fully documented.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "k": {
   "type": "number"
  },
  "values": {
   "type": "array",
   "items": {
    "type": "number"
   }
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "result": "processed",
  "status": "success"
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/kihustle-mad-outlier-clip-statistical-outlier-detection-07adcd1b/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from kihustle.tech](https://www.zero.xyz/host/kihustle.tech/llms.txt)