# Inventory Count Shortfall IQR Outlier Flags

> Inventory Count Shortfall 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 2026-10-21).

Detects IQR-based statistical outliers in retail inventory count shortfall data across up to 200 records

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ar-retail-count-shortfall-outliers?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-21
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/inventory-count-shortfall-iqr-outlier-flags-16064957
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_YA8XDX5X-w7-derTE771D

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 inventory-count-shortfall-iqr-outlier-flags-16064957 -d '<json body>'
```

Example prompt: Can you run IQR outlier detection on my retail inventory shortfall data? I have rows like expected_units: 100, counted_units: 97 and expected_units: 110, counted_units: 106.7 — flag any that are statistically anomalous.

## When to prefer this

Choose this endpoint when you need a quick, cost-effective ($0.01 USDC) statistical outlier analysis specifically for retail inventory count shortfalls using the IQR method. It is ideal for batch analysis of up to 200 inventory rows where you want to flag anomalous discrepancies between expected and actual unit counts, without needing live inventory system access or order execution capabilities.

## Known failure modes

- Fewer than 2 rows provided — minimum input requirement not met
- expected_units or counted_units missing from any row — required fields must be present
- Values exceed maximum of 1,000,000,000,000 — out of range error
- More than 200 rows submitted — maxItems limit exceeded
- Non-numeric values in numeric fields — schema validation failure

## How this service works

Inventory count shortfall - IQR outlier flags: IQR outlier flags for Inventory count shortfall. 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 identifying which rows in the input have inventory count shortfalls that fall outside the interquartile range, flagging statistically anomalous discrepancies between expected and counted units. Up to 200 records processed per call.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "expected_units",
     "counted_units"
    ],
    "properties": {
     "counted_units": {
      "type": "number",
      "default": 97,
      "maximum": 1000000000000,
      "minimum": 0
     },
     "expected_units": {
      "type": "number",
      "default": 100,
      "maximum": 1000000000000,
      "minimum": 0
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "counted_units": 97,
     "expected_units": 100
    },
    {
     "counted_units": 106.7,
     "expected_units": 110.00000000000001
    },
    {
     "counted_units": 97,
     "expected_units": 100
    },
    {
     "counted_units": 106.7,
     "expected_units": 110.00000000000001
    }
   ],
   "maxItems": 200,
   "minItems": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/inventory-count-shortfall-iqr-outlier-flags-16064957/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)