# Damaged Stock IQR Outlier Flags + Secondary-Measure Weighted Mean

> Damaged Stock IQR Outlier Flags + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).

Runs IQR-based outlier detection and secondary-measure weighted mean analysis on up to 200 rows of damaged stock records (handled_units, damaged_units), returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-retail-18-177?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-24
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/damaged-stock-iqr-outlier-flags-secondary-measure-weighted-mean-5f6ef327
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_19formS1XrElwOFc_XqLB

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 damaged-stock-iqr-outlier-flags-secondary-measure-weighted-mean-5f6ef327 -d '<json body>'
```

Example prompt: I have up to 200 rows of damaged stock data with handled_units and damaged_units per store group and date — can you run IQR outlier flagging and a secondary-measure weighted mean on the damaged_units field and give me both reports?

## When to prefer this

Choose this endpoint when you have up to 200 rows of damaged stock records and need both IQR-based outlier detection and a weighted mean computation in a single paid call. It is purpose-built for retail/warehouse damage data with handled_units and damaged_units fields, and delivers two bundled statistical reports cheaply ($0.01 USDC). Prefer it over generic statistics tools when your data fits the retail damaged-stock schema and you want a structured, reproducible output without setting up a local analytics pipeline.

## Known failure modes

- Submitting more than 200 rows returns an error or truncation
- Missing required fields (row_id, date, handled_units, damaged_units) causes validation failure
- Invalid date format (not YYYY-MM-DD) rejected by schema
- Null values for both handled_units and damaged_units on a row may produce incomplete statistical results
- Payment of 0.01 USDC not completed results in 402 response and no analysis

## How this service works

Damaged stock — IQR outlier flags + Secondary-measure weighted mean: IQR outlier flags + Secondary-measure weighted mean for supplied damaged stock records (handled_units, damaged_units). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.

## Output

Two independent analytical reports: (1) IQR outlier flags identifying which of the up to 200 submitted rows are statistical outliers based on interquartile range for the selected field, and (2) a secondary-measure weighted mean computed across the supplied damaged stock records. No external lookups or predictions are made — all analysis is performed locally on the submitted data.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "store_group",
     "date",
     "handled_units",
     "damaged_units"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "store_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "damaged_units": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "handled_units": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "store_group": "group-a",
     "damaged_units": 1,
     "handled_units": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "store_group": "group-b",
     "damaged_units": 2,
     "handled_units": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "store_group": "group-a",
     "damaged_units": 3,
     "handled_units": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "store_group": "group-b",
     "damaged_units": 4,
     "handled_units": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "handled_units",
    "damaged_units"
   ],
   "type": "string",
   "default": "handled_units"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/damaged-stock-iqr-outlier-flags-secondary-measure-weighted-mean-5f6ef327/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)