# Parcel Space Utilization IQR Outlier Flags

> Parcel Space Utilization IQR Outlier Flags is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).

Detects statistical outliers in retail parcel space utilization data using Interquartile Range (IQR) analysis, flagging anomalous goods-to-package volume ratios.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ar-retail-parcel-space-use-outliers?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/parcel-space-utilization-iqr-outlier-flags-8ef808c6
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_3zFJIiIBXzUcuzpLowHa5

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 parcel-space-utilization-iqr-outlier-flags-8ef808c6 -d '<json body>'
```

Example prompt: Can you check these parcel records for outliers using IQR analysis? I have goods volumes like 600, 660, 750, and 1200, paired with package internal volumes of 1000, 1100, 1050, and 5000 — flag any that look statistically anomalous.

## When to prefer this

Use this endpoint when you need lightweight, fast IQR-based statistical outlier detection specifically on retail parcel space utilization data (goods volume vs. package internal volume pairs), at minimal cost ($0.01 USDC per call). Prefer this over general-purpose statistics APIs when you need a bounded, pre-scoped report for up to 200 retail records without needing platform access, live rates, or order execution capabilities.

## Known failure modes

- Fewer than 2 rows supplied — minimum input requirement not met
- package_internal_volume set to 0 or missing — field is required and must be greater than 0
- More than 200 rows submitted — maxItems limit exceeded
- Non-numeric values in goods_volume or package_internal_volume fields cause validation error
- Homogeneous dataset with no variance may produce no outlier flags

## How this service works

Parcel space utilization - IQR outlier flags: IQR outlier flags for Parcel space utilization. Supplied retail figures only, up to 200 records. No platform access, live rates or order execution. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded iqr outlier flags report.

## Output

A bounded IQR outlier flags report covering up to 200 supplied retail parcel records, indicating which records have goods_volume to package_internal_volume ratios that fall outside the interquartile range and are therefore statistically anomalous.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "goods_volume",
     "package_internal_volume"
    ],
    "properties": {
     "goods_volume": {
      "type": "number",
      "default": 600,
      "maximum": 1000000000000,
      "minimum": 0
     },
     "package_internal_volume": {
      "type": "number",
      "default": 1000,
      "maximum": 1000000000000,
      "minimum": 0,
      "exclusiveMinimum": 0
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "goods_volume": 600,
     "package_internal_volume": 1000
    },
    {
     "goods_volume": 660,
     "package_internal_volume": 1100
    },
    {
     "goods_volume": 600,
     "package_internal_volume": 1000
    },
    {
     "goods_volume": 660,
     "package_internal_volume": 1100
    }
   ],
   "maxItems": 200,
   "minItems": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/parcel-space-utilization-iqr-outlier-flags-8ef808c6/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)