# JSON Outlier Detector (Z-Score)

> JSON Outlier Detector (Z-Score) is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-20).

Detects statistical outliers in JSON data using Z-score analysis

## Facts

- Endpoint: POST https://kihustle.tech/agents/api/v1/json-outlier-detector-zscore?utm_source=zero.xyz
- Price: $0.002/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-20
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/json-outlier-detector-z-score-dbe9b8f8
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_r63rP1z_YIzNsdp3YDuOj

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 json-outlier-detector-z-score-dbe9b8f8 -d '<json body>'
```

Example prompt: Can you check this JSON dataset for statistical outliers using Z-score? Here's the data: {"values": [10, 12, 11, 9, 150, 10, 13, 11]}

## When to prefer this

Choose this endpoint when you need lightweight, fast statistical outlier detection on a JSON-formatted dataset without setting up your own data pipeline. It is especially useful for agents performing automated data quality checks, anomaly monitoring in numeric datasets, or pre-processing steps before further analysis. It operates on text-encoded JSON so it can handle flexible data shapes.

## Known failure modes

- Malformed JSON text input may result in a processing error
- Non-numeric values in the dataset may cause Z-score computation to fail
- Empty dataset or single-value arrays may not produce meaningful Z-scores
- Missing 'text' field in request body returns an error
- Payment failure (x402) if USDC balance is insufficient

## How this service works

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## Output

Returns a JSON object indicating processed results, likely including which data points were flagged as outliers, their Z-scores, and an overall success status. The response includes a 'result' field and a 'status' field confirming success.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "text": {
   "type": "string"
  }
 }
}
```

## Response schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/json-outlier-detector-z-score-dbe9b8f8/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)