# KiHustle JSON Outlier Detector (IQR)

> KiHustle JSON Outlier Detector (IQR) is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-13).

Detects statistical outliers in a numeric array using the Interquartile Range (IQR) method

## Facts

- Endpoint: POST https://kihustle.tech/bot-bazaar/api/v1/json-outlier-detector-iqr?utm_source=zero.xyz
- Price: $0.002/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-13
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/kihustle-json-outlier-detector-iqr-87d289a0
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_NArPkVf7q06MXSH4LOLVA

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-json-outlier-detector-iqr-87d289a0 -d '<json body>'
```

Example prompt: Can you run outlier detection on this list of numbers using IQR? The values are: [12, 15, 14, 10, 200, 13, 11, 14, 9, 145, 12].

## When to prefer this

Choose this endpoint when you need a lightweight, cost-effective statistical outlier detection step in a data pipeline and prefer IQR-based (robust, non-parametric) detection over z-score or ML-based approaches. It is ideal for quick data cleaning tasks, validating sensor readings, or flagging anomalous numeric values in small-to-medium datasets without standing up your own statistics library.

## Known failure modes

- Empty or missing 'values' array results in an error
- Non-numeric values in the array may cause processing failure
- Insufficient data points (fewer than 4) may make IQR computation unreliable
- Payment failure via x402 protocol returns 402 status
- Malformed JSON body returns 400-level error

## How this service works

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## Output

Returns a JSON object indicating which values in the input array are outliers as detected by the IQR method, along with a status field confirming successful processing. The response includes a 'result' field (processed) and 'status' (success), with outlier information derived from the IQR computation.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "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-json-outlier-detector-iqr-87d289a0/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)