# Damaged Stock Numeric Distribution and Trailing Mean Series Analyzer

> Damaged Stock Numeric Distribution and Trailing Mean Series Analyzer is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).

Computes numeric distribution statistics and a trailing mean time series for supplied damaged stock records (handled_units and damaged_units) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-retail-18-076?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-25
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/damaged-stock-numeric-distribution-and-trailing-mean-series-analyzer-0b600284
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_WQRnPxFXapCDxatGz2bJg

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-numeric-distribution-and-trailing-mean-series-analyzer-0b600284 -d '<json body>'
```

Example prompt: Can you run a numeric distribution report and a trailing mean series (window size 7) on my damaged stock records for the last month? I have up to 150 rows with handled_units and damaged_units per store group and date — I want the analysis on the damaged_units field.

## When to prefer this

Choose this endpoint when you have raw damaged stock records (handled_units, damaged_units) and need both a distribution overview and a smoothed rolling mean trend in a single low-cost call. Ideal for retail or warehouse analysts who want offline, self-contained statistical summaries without any external lookup, live data, or prediction — especially when working with datasets of up to 200 rows at minimal cost ($0.01 USDC for both reports).

## Known failure modes

- Fewer than 1 row submitted — minimum row count not met
- More than 200 rows submitted — exceeds maximum row limit
- Missing required fields (row_id, store_group, date, handled_units, damaged_units) — validation error
- Date field not matching YYYY-MM-DD format — pattern validation failure
- Window size outside 2–200 range — parameter validation error
- Null values in numeric fields may affect distribution or mean calculations

## How this service works

Damaged stock — Numeric distribution + Trailing mean series: Numeric distribution + Trailing mean series 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 for the supplied dataset: (1) a numeric distribution summary of the selected field (handled_units or damaged_units), and (2) a trailing mean time series computed over the specified rolling window — both derived entirely from the submitted rows with no external data or predictions.

## 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/damaged-stock-numeric-distribution-and-trailing-mean-series-analyzer-0b600284/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)