# Warehouse Bins — Exact Row Deduplication + Category Frequencies

> Warehouse Bins — Exact Row Deduplication + Category Frequencies is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).

Deduplicates warehouse bin records and computes category-level frequency counts for occupied_volume and available_volume fields across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-retail-13-041?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-02
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/warehouse-bins-exact-row-deduplication-category-frequencies-61f7dc15
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_BUbrzrmGQLy4kdiNWCKgE

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-exact-row-deduplication-category-frequencies-61f7dc15 -d '<json body>'
```

Example prompt: I have up to 200 warehouse bin records with fields for row_id, store_group, date, occupied_volume, and available_volume — can you deduplicate the exact rows and also give me a frequency breakdown by category for these bin records?

## When to prefer this

Choose this endpoint when you have warehouse bin records (with occupied_volume and available_volume fields) and need both duplicate row detection and store_group category frequency analysis in a single low-cost call. It is ideal for data quality checks on small-to-medium datasets (up to 200 rows) before downstream reporting or aggregation. Prefer this over general-purpose analytics tools when you want a simple, pre-packaged pair of reports without setting up a full analytics pipeline.

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, store_group, date, occupied_volume, available_volume) on any row causes validation error
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Empty rows array returns no meaningful report
- Numeric values outside ±1,000,000,000,000 range are rejected
- Payment of 0.01 USDC not fulfilled causes 402 response

## How this service works

Warehouse bins — Exact row deduplication + Category frequencies: Exact row deduplication + Category frequencies 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) an exact row deduplication report identifying which rows among the submitted warehouse bin records are identical duplicates, and (2) a category frequency report counting how often each store_group value appears in the dataset. Both reports are computed locally from 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/warehouse-bins-exact-row-deduplication-category-frequencies-61f7dc15/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)