# Inventory Administration — Record Quality Audit + Date by Category Pivot

> Inventory Administration — Record Quality Audit + 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 2026-10-25).

Runs two local analytical reports on supplied inventory session data: a record quality audit and a date-by-category pivot, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-21-017?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/inventory-administration-record-quality-audit-date-by-category-pivot-a924b78f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_SC7d7LsJes0UqHvq3m0IM

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 inventory-administration-record-quality-audit-date-by-category-pivot-a924b78f -d '<json body>'
```

Example prompt: Can you run a record quality audit and a date-by-category pivot on my inventory session data? I have rows with team groups like 'warehouse-a' and 'warehouse-b', dates from 2025-01-01 to 2025-01-10, count_sessions and discrepancy_count values — use count_sessions as the pivot field.

## When to prefer this

Use this endpoint when you have up to 200 inventory administration records with session counts and discrepancy counts and need both a data quality audit and a date-grouped pivot in a single low-cost call. It is ideal for batch offline analysis of structured inventory data where no live data lookup, prediction, or external enrichment is needed.

## Known failure modes

- Rows exceeding 200 items will be rejected — keep input within maxItems limit
- Missing required fields (row_id, team_group, date, count_sessions, discrepancy_count) will cause validation errors
- Invalid date format (must match YYYY-MM-DD pattern) will cause row rejection
- Null numeric values are allowed but may reduce pivot accuracy
- Selecting an invalid field enum value will return an error

## How this service works

Inventory administration — Record quality audit + Date by category pivot: Record quality audit + Date by category pivot for supplied inventory administration records (count_sessions, discrepancy_count). 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 independent reports: (1) a record quality audit flagging data issues across the supplied rows, and (2) a date-by-category pivot table summarizing the selected numeric field (count_sessions or discrepancy_count) grouped by date and team_group. 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",
     "team_group",
     "date",
     "count_sessions",
     "discrepancy_count"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "team_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "count_sessions": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "discrepancy_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "team_group": "group-a",
     "count_sessions": 10,
     "discrepancy_count": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "team_group": "group-b",
     "count_sessions": 20,
     "discrepancy_count": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "team_group": "group-a",
     "count_sessions": 15,
     "discrepancy_count": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "team_group": "group-b",
     "count_sessions": 30,
     "discrepancy_count": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "count_sessions",
    "discrepancy_count"
   ],
   "type": "string",
   "default": "count_sessions"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/inventory-administration-record-quality-audit-date-by-category-pivot-a924b78f/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)