# Brand Mention Inventories — Record Quality Audit + Category Frequencies

> Brand Mention Inventories — Record Quality Audit + 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).

Audits record quality and computes category-level frequencies for brand mention inventory data (mention_count, source_count) across up to 200 rows, returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-18-006?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-category-frequencies-a3c8669c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_kGM-oo8GuwMKeQ0rDhvn2

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-category-frequencies-a3c8669c -d '<json body>'
```

Example prompt: Can you audit the quality of my brand mention records and give me a frequency breakdown by company group? Here are up to 200 rows with fields like row_id, company_group, date, mention_count, and source_count — I need both a record quality report and category frequency summary.

## When to prefer this

Choose this endpoint when you have up to 200 rows of brand mention inventory data and need both a data quality audit and a category frequency analysis in a single low-cost call ($0.01 USDC). It is best suited for offline/batch validation of brand monitoring datasets rather than real-time lookups, predictions, or external enrichment.

## Known failure modes

- Fewer than 1 row or more than 200 rows supplied — rejected by schema validation
- Missing required fields (row_id, company_group, date, mention_count, source_count) in any row causes validation failure
- Dates not matching YYYY-MM-DD pattern are rejected
- Numeric values outside the allowed range (±1 trillion) may cause errors
- row_id values exceeding 80 characters are rejected

## How this service works

Brand mention inventories — Record quality audit + Category frequencies: Record quality audit + Category frequencies 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

Two independent analytical reports: (1) a record quality audit identifying completeness, validity, and anomalies across the supplied rows, and (2) a category frequency summary showing how mention_count and source_count distribute across company_group and date categories — all computed locally on the supplied data with no external lookups.

## 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-category-frequencies-a3c8669c/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)