# Target Replenishment Quantity IQR Outlier Flags

> Target Replenishment Quantity 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).

Computes IQR-based outlier flags for target replenishment quantity values across a batch of retail inventory rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-retail-replenishment-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/target-replenishment-quantity-iqr-outlier-flags-8b17b02e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_-wzFV-KwHp4dyFZrYSZCQ

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 target-replenishment-quantity-iqr-outlier-flags-8b17b02e -d '<json body>'
```

Example prompt: Can you run IQR outlier detection on these replenishment rows — I have target_units like 200, 220, 950 and inventory_position values like 120, 132, 80 — and flag which ones are statistical outliers?

## When to prefer this

Choose this endpoint when you need fast, local IQR-based outlier flagging specifically on retail replenishment quantity data (target_units + inventory_position pairs), without needing live inventory system access or order execution. Best suited for batch scenario analysis of up to 200 rows at a time at very low cost ($0.01 USDC).

## Known failure modes

- Fewer than 2 rows submitted — minimum of 2 rows required
- target_units or inventory_position missing from one or more rows — required fields per row
- target_units value exceeds maximum of 1,000,000,000,000
- Too many rows submitted — maximum of 200 rows per call
- Non-numeric values passed for numeric fields
- Payment not included or insufficient — endpoint requires 0.01 USDC per call

## How this service works

Target replenishment quantity - IQR outlier flags: IQR outlier flags for Target replenishment quantity. Supplied retail figures only. Local calculation and scenario analysis; no live inventory, account access, platform fee lookup or order execution. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded iqr outlier flags deliverable.

## Output

Returns IQR outlier flags for each submitted retail replenishment row, indicating which target_units values fall outside the interquartile range based on local calculation across the submitted dataset. No live inventory data, account access, or order execution is included.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "target_units",
     "inventory_position"
    ],
    "properties": {
     "target_units": {
      "type": "number",
      "default": 200,
      "maximum": 1000000000000,
      "minimum": 0
     },
     "inventory_position": {
      "type": "number",
      "default": 120,
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "target_units": 200,
     "inventory_position": 120
    },
    {
     "target_units": 220.00000000000003,
     "inventory_position": 132
    },
    {
     "target_units": 200,
     "inventory_position": 120
    },
    {
     "target_units": 220.00000000000003,
     "inventory_position": 132
    }
   ],
   "maxItems": 200,
   "minItems": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/target-replenishment-quantity-iqr-outlier-flags-8b17b02e/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)