# Brand Mention Inventories — Record Quality Audit, Exact Row Deduplication & Category Frequencies

> Brand Mention Inventories — Record Quality Audit, 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 2026-10-20).

Analyzes up to 200 brand mention inventory rows to produce three local analytical reports: a record quality audit, exact row deduplication, and category frequency breakdown by company group.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-18-212?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-record-quality-audit-exact-row-704cac5a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Rdxaa8nMYGblViVN6G0Kn

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-record-quality-audit-exact-row-704cac5a -d '<json body>'
```

Example prompt: Can you run a quality audit, deduplicate exact rows, and give me category frequencies for these brand mention records? I have 4 rows with company groups 'group-a' and 'group-b', mention counts, and source counts per day from 2026-10-01 to 2026-10-04.

## When to prefer this

Choose this endpoint when you have up to 200 brand mention inventory records and need all three of a quality audit, deduplication check, and category frequency summary in a single low-cost call. It is ideal for pre-processing brand monitoring exports before downstream analysis or dashboarding, especially when you want local analytical results without any live data lookup or external enrichment. It is not suitable for large datasets over 200 rows, real-time mention tracking, or predictive analytics.

## Known failure modes

- Fewer than 1 row submitted — returns validation error
- More than 200 rows submitted — exceeds row limit, request rejected
- Missing required fields (row_id, company_group, date, mention_count, source_count) — row-level validation failure
- Invalid date format not matching YYYY-MM-DD pattern — schema validation error
- Numeric values outside allowed range (±1,000,000,000,000) — schema rejection
- Empty or blank row_id — minLength constraint violation

## How this service works

Brand mention inventories — Record quality audit + Exact row deduplication + Category frequencies: Record quality audit + Exact row deduplication + Category frequencies for supplied brand mention inventories records (mention_count, source_count). 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 reports for the submitted brand mention rows: (1) a record quality audit flagging missing, malformed, or out-of-range values in fields like mention_count and source_count; (2) an exact row deduplication report identifying and grouping identical records; and (3) a category frequency table showing how records and mention/source counts are distributed across company_group values.

## 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/brand-mention-inventories-record-quality-audit-exact-row-704cac5a/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)