# On-time Dispatch Share IQR Outlier Flags

> On-time Dispatch Share 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 2026-10-17).

Detects IQR-based statistical outliers in retail on-time dispatch share data across up to 200 records

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ar-retail-dispatch-on-time-outliers?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-17
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/on-time-dispatch-share-iqr-outlier-flags-02c19e01
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Y6sW7EQo0iHrHRuflSAE4

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 on-time-dispatch-share-iqr-outlier-flags-02c19e01 -d '<json body>'
```

Example prompt: Can you run IQR outlier detection on my retail dispatch data? I have 5 locations: 100 total dispatches with 92 on-time, 110 with 88 on-time, 95 with 94 on-time, 200 with 140 on-time, and 105 with 103 on-time — flag which ones look like statistical outliers.

## When to prefer this

Choose this endpoint when you need fast, cost-effective IQR-based statistical outlier detection specifically on retail on-time dispatch share data (up to 200 records). It is purpose-built for this metric rather than a generic statistics API, making it appropriate for logistics QA workflows, supplier audits, or pre-reporting data validation where dispatch punctuality is the key KPI.

## Known failure modes

- Fewer than 2 rows submitted — minimum input requirement not met
- Row missing required 'dispatches' or 'on_time_dispatches' fields — validation error
- 'dispatches' value is 0 or negative — excluded by schema minimum (exclusiveMinimum: 0)
- More than 200 rows submitted — exceeds maxItems limit
- Payment of 0.01 USDC not completed — request rejected
- Non-numeric values in numeric fields — schema validation failure

## How this service works

On-time dispatch share - IQR outlier flags: IQR outlier flags for On-time dispatch share. 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 report with IQR outlier flags for each submitted row, indicating which on-time dispatch share values fall outside the interquartile range. Each record receives a flag denoting whether it is a statistical outlier relative to the submitted dataset.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "dispatches",
     "on_time_dispatches"
    ],
    "properties": {
     "dispatches": {
      "type": "number",
      "default": 100,
      "maximum": 1000000000000,
      "minimum": 0,
      "exclusiveMinimum": 0
     },
     "on_time_dispatches": {
      "type": "number",
      "default": 92,
      "maximum": 1000000000000,
      "minimum": 0
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "dispatches": 100,
     "on_time_dispatches": 92
    },
    {
     "dispatches": 110.00000000000001,
     "on_time_dispatches": 101.2
    },
    {
     "dispatches": 100,
     "on_time_dispatches": 92
    },
    {
     "dispatches": 110.00000000000001,
     "on_time_dispatches": 101.2
    }
   ],
   "maxItems": 200,
   "minItems": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/on-time-dispatch-share-iqr-outlier-flags-02c19e01/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)