# Brand Mention Inventories — Duplicate Key Report + Date by Category Pivot

> Brand Mention Inventories — Duplicate Key Report + 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 2026-10-20).

Generates two local analytical reports — a duplicate key report and a date-by-category pivot — on supplied brand mention inventory records (mention_count, source_count), for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-18-068?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-20
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/brand-mention-inventories-duplicate-key-report-date-by-category-pivot-88660866
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_h9rPVhJs99AFiXStDjQjT

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 brand-mention-inventories-duplicate-key-report-date-by-category-pivot-88660866 -d '<json body>'
```

Example prompt: Can you run a duplicate key check and a date-by-category pivot on these brand mention records — the data has row_id, company_group, date, mention_count, and source_count fields — and use mention_count as the analysis field? I have about 50 rows to analyze.

## When to prefer this

Choose this endpoint when you have up to 200 rows of brand mention inventory data and need both a duplicate key audit and a date-by-category pivot in a single low-cost call ($0.01 USDC). It is ideal for offline/supplied-data analytics where no live data fetch, prediction, or external enrichment is needed — just fast local computation on records you already have. Prefer it over general-purpose analytics tools when you specifically need the combination of duplication detection and date-group cross-tabulation for brand mention metrics.

## Known failure modes

- More than 200 rows submitted — only up to 200 rows are supported per call
- Missing required fields (row_id, company_group, date, mention_count, source_count) cause validation errors
- Invalid date format (must match YYYY-MM-DD pattern) causes rejection
- Empty rows array returns an error (minItems: 1)
- Values outside the allowed numeric range (±1,000,000,000,000) may be rejected
- Invalid field enum value (must be 'mention_count' or 'source_count') causes failure

## How this service works

Brand mention inventories — Duplicate key report + Date by category pivot: Duplicate key report + Date by category pivot for supplied brand mention inventories records (mention_count, source_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 analytical reports: (1) a duplicate key report identifying rows with repeated row_id values, and (2) a date-by-category pivot table cross-tabulating the selected field (mention_count or source_count) by date and company_group. Both reports are computed locally on the supplied data with no external lookups. Results cover up to 200 input rows.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "company_group",
     "date",
     "mention_count",
     "source_count"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "source_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "company_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "mention_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "source_count": 1,
     "company_group": "group-a",
     "mention_count": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "source_count": 2,
     "company_group": "group-b",
     "mention_count": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "source_count": 3,
     "company_group": "group-a",
     "mention_count": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "source_count": 4,
     "company_group": "group-b",
     "mention_count": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "mention_count",
    "source_count"
   ],
   "type": "string",
   "default": "mention_count"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/brand-mention-inventories-duplicate-key-report-date-by-category-pivot-88660866/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)