# Warehouse Bins Data Quality & Analytics (Record Audit + String Normalisation + Numeric Row Ordering)

> Warehouse Bins Data Quality & Analytics (Record Audit + String Normalisation + Numeric Row Ordering) 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).

Performs three bundled analytical reports on warehouse bin records — record quality audit, string normalisation, and numeric row ordering — using local engines with no external lookups.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-retail-13-196?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-analytics-record-audit-string-6cb27d55
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_BB56dUZL-j1QzFQmh1r0i

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-analytics-record-audit-string-6cb27d55 -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and numeric row ordering on these warehouse bin records — I have up to 50 rows with occupied_volume and available_volume fields, and I want to analyse the occupied_volume column?

## When to prefer this

Choose this endpoint when you need a cost-effective ($0.01 USDC) bundled data quality pipeline for warehouse bin inventory records, specifically when you want all three of record quality auditing, string normalisation, and numeric ordering in a single call without external API dependencies. Ideal for batch preprocessing up to 200 rows of bin occupancy data before further analytics or reporting.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, occupied_volume, available_volume) — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- Numeric volume values outside allowed range (-1e12 to 1e12) — validation error
- Invalid field enum value — rejected with schema error
- Empty rows array — minimum 1 item required

## How this service works

Warehouse bins — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering 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

Returns three independent analytical reports for the submitted warehouse bin rows: (1) a record quality audit flagging data completeness, format errors, and anomalies; (2) a string normalisation report transforming and standardising store_group and other string fields; and (3) a numeric row ordering report ranking rows by the selected volume field (occupied_volume or available_volume). All processing is local 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-data-quality-analytics-record-audit-string-6cb27d55/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)