# Delx Numeric Outlier Scan

> Delx Numeric Outlier Scan is a paid API for AI agents from api.delx.ai, paid per call via x402, $0.003/call, status unknown (last checked 2026-09-15).

Identifies statistical outlier indexes in a bounded numeric array using z-score thresholding, returning machine-readable JSON results.

## Facts

- Endpoint: POST https://api.delx.ai/api/v1/x402/numeric-outlier-scan
- Price: $0.003/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/delx-numeric-outlier-scan-b3bc9607
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_WPnrDnrgSSKLELHHZhQzM

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 delx-numeric-outlier-scan-b3bc9607 -d '<json body>'
```

Example prompt: Scan this list of numbers for statistical outliers using a z-score threshold of 2.5: [12, 13, 11, 14, 98, 12, 13, 10, 11, 200] — tell me which indexes are anomalous.

## When to prefer this

Choose this endpoint when you need a fast, stateless, deterministic outlier detection step on a bounded numeric array as part of an automated agent workflow — especially as a preflight check before downstream data, policy, or commercial decisions. It is ideal when you want a simple z-score-based approach without spinning up a data science stack, and when reproducibility and machine-readable JSON output matter. Prefer it over general-purpose analytics APIs when cost predictability ($0.003 per call) and stateless execution with no data retention are requirements.

## Known failure modes

- Empty or null values array returns an error or empty results
- z_threshold not provided may default to a standard value or return a validation error
- Non-numeric values in the array cause a type error
- Array with fewer than 3 elements may produce unreliable z-score statistics
- Payment failure via x402 returns 402 status and no result

## How this service works

Identify statistical outlier indexes in bounded numeric samples. Use it as a bounded preflight or analysis step inside an enterprise agent workflow before data, policy, integration, security, or commercial decisions reach production. Returns deterministic machine-readable JSON for $0.003 USDC via x402 on Base. Execution is first-party, local-only, stateless, memory-only, and has no paid upstream or input retention. Results are advisory; the caller remains responsible for authorization and produ…

## Output

Returns deterministic machine-readable JSON indicating which indexes in the input array are statistical outliers based on the specified z-score threshold, along with supporting z-score values for each element.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "values": {
   "type": "array",
   "description": "Input field: values."
  },
  "z_threshold": {
   "type": "number",
   "description": "Input field: z_threshold."
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "mean": 48.6,
  "count": 5,
  "schema": "delx/util-numeric-outlier-scan/v1",
  "z_threshold": 2,
  "outlier_count": 0,
  "outlier_indexes": [],
  "standard_deviation": 75.703633
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/delx-numeric-outlier-scan-b3bc9607/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from api.delx.ai](https://www.zero.xyz/host/api.delx.ai/llms.txt)