# Brand Mention Inventories — Record Quality Audit, String Normalisation & Exact Row Deduplication

> Brand Mention Inventories — Record Quality Audit, String Normalisation & Exact Row Deduplication is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).

Audits, normalises strings, and deduplicates up to 200 rows of brand mention inventory records (mention_count, source_count), producing 3 independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-18-191?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/brand-mention-inventories-record-quality-audit-string-normalisation-cadcde81
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_5D2Z_a8-j_eRAakSSKSqt

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-string-normalisation-cadcde81 -d '<json body>'
```

Example prompt: Can you audit, normalise, and deduplicate my brand mention inventory data? I have rows like {row_id: 'row-1', company_group: 'group-a', date: '2026-10-01', mention_count: 10, source_count: 1} — up to 50 rows total — and I need all three reports: record quality audit, string normalisation, and exact row deduplication.

## When to prefer this

Choose this endpoint when you need a combined record quality audit, string normalisation, and exact row deduplication on brand mention inventory data (mention_count, source_count fields) in a single low-cost call. It is ideal for pre-processing brand monitoring datasets before dashboarding or analysis, and when you want three distinct analytical reports from one submission of up to 200 rows without relying on external lookups or live data sources.

## Known failure modes

- Submitting more than 200 rows returns an error due to the maxItems limit
- Missing required fields (row_id, company_group, date, mention_count, source_count) cause validation failure
- Invalid date format (not YYYY-MM-DD) triggers schema validation error
- Empty rows array (minItems: 1 not met) returns an error
- Numeric values outside the allowed range (-1,000,000,000,000 to 1,000,000,000,000) may be rejected
- Payment failure via x402 protocol prevents report generation

## How this service works

Brand mention inventories — Record quality audit + String normalisation + Exact row deduplication: Record quality audit + String normalisation + Exact row deduplication 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

Three independent analytical reports covering: (1) a record quality audit highlighting data quality issues in the supplied rows, (2) a string normalisation report showing standardised versions of string fields such as company_group, and (3) an exact row deduplication report identifying and removing duplicate entries — all derived from the supplied brand mention inventory data without any external lookups or live data.

## 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-string-normalisation-cadcde81/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)