# Warehouse Bins Data Quality Audit + String Normalisation + Category Frequencies

> Warehouse Bins Data Quality Audit + String Normalisation + 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).

Runs three analytical reports on warehouse bin records (occupied_volume, available_volume): a record quality audit, string normalisation, and category frequency analysis — all locally, with no external lookups.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-retail-13-195?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-data-quality-audit-string-normalisation-category-053cb82e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_DXfnDvLthJMiKR8UgmvKe

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-data-quality-audit-string-normalisation-category-053cb82e -d '<json body>'
```

Example prompt: Can you audit the quality of my warehouse bin records, normalise the store_group strings, and give me category frequencies? Here are up to 200 rows with fields row_id, store_group, date, occupied_volume, and available_volume — I need all three reports back at once.

## When to prefer this

Choose this endpoint when you need three complementary data quality operations — quality audit, string normalisation, and category frequency analysis — on warehouse bin records in a single low-cost call ($0.01 USDC). It is ideal for batch preprocessing up to 200 rows of occupied_volume/available_volume data before loading into a reporting or analytics pipeline. Prefer it over general-purpose analytics tools when you specifically have warehouse bin data with store_group and volume fields and want all three reports in one request without setting up local tooling.

## Known failure modes

- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, store_group, date, occupied_volume, available_volume) cause row-level rejection
- Dates not matching YYYY-MM-DD pattern fail schema validation
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array returns an error (minItems: 1)
- Payment not included or insufficient USDC causes 402 rejection

## How this service works

Warehouse bins — Record quality audit + String normalisation + Category frequencies: Record quality audit + String normalisation + Category frequencies for supplied warehouse bins records (occupied_volume, available_volume). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Three structured analytical reports returned together: (1) a record quality audit flagging issues such as nulls, missing fields, or out-of-range values in occupied_volume and available_volume; (2) a string normalisation report for text fields like store_group; and (3) a category frequency table showing how often each store_group value appears across the supplied rows. No external data is fetched; all analysis is performed locally on the submitted records.

## 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-data-quality-audit-string-normalisation-category-053cb82e/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)