# Warehouse Bins Category Frequencies & Date-by-Category Pivot

> Warehouse Bins Category Frequencies & Date-by-Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-03).

Analyzes warehouse bin records to produce category frequency counts and a date-by-category pivot table for occupied and available volume fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-retail-13-110?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-03
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/warehouse-bins-category-frequencies-date-by-category-pivot-12ca00f6
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_zXj-Gldmr4yS3hHw8xy3X

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 warehouse-bins-category-frequencies-date-by-category-pivot-12ca00f6 -d '<json body>'
```

Example prompt: I have up to 200 rows of warehouse bin records with store groups, dates, occupied volumes, and available volumes — can you run a category frequency report and a date-by-category pivot on the occupied_volume field for me?

## When to prefer this

Choose this endpoint when you have up to 200 rows of warehouse bin records and need both a category frequency count by store group and a date-by-category pivot for volume fields in a single low-cost call. Ideal for retail/warehouse analysts who supply their own data and want fast local analytical summaries without external data dependencies or predictions.

## Known failure modes

- Fewer than 1 row supplied — request rejected
- More than 200 rows submitted — exceeds row limit
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Missing required fields (row_id, store_group, date) — validation failure
- Invalid field enum value — must be occupied_volume or available_volume
- Numeric values outside allowed range (±1,000,000,000,000) — validation error

## How this service works

Warehouse bins — Category frequencies + Date by category pivot: Category frequencies + Date by category pivot for supplied warehouse bins records (occupied_volume, available_volume). 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

Returns two analytical reports: (1) a category frequency table showing how often each store_group value appears in the supplied rows, and (2) a date-by-category pivot table showing aggregated values of the selected field (occupied_volume or available_volume) broken down by date and store_group. Both reports are computed locally on the supplied data with no external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/warehouse-bins-category-frequencies-date-by-category-pivot-12ca00f6/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)