# Brand Mention Inventories — Record Quality Audit + Secondary-Measure Weighted Mean

> Brand Mention Inventories — Record Quality Audit + Secondary-Measure Weighted Mean 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 record quality and computes a secondary-measure weighted mean for up to 200 rows of brand mention inventory data (mention_count, source_count), producing two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-18-016?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-secondary-measure-28414099
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_368r1TprA_VuS7GBC6vc8

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-secondary-measure-28414099 -d '<json body>'
```

Example prompt: Can you audit the quality of these brand mention records and compute the source_count-weighted mean of mention_count? I have 4 rows: row-1 (group-a, 2026-10-01, mentions=10, sources=1), row-2 (group-b, 2026-10-02, mentions=20, sources=2), row-3 (group-a, 2026-10-03, mentions=15, sources=3), row-4 (group-b, 2026-10-04, mentions=30, sources=4).

## When to prefer this

Choose this endpoint when you need both a data quality audit and a weighted mean calculation on brand mention inventory data in a single API call. It is ideal for marketing analysts who want to validate the integrity of their brand mention records and compute a source-weighted average without building custom analytics. Best for batch sizes up to 200 rows where no live data lookup or external enrichment is needed.

## Known failure modes

- Submitting more than 200 rows returns a validation error
- Missing required row fields (row_id, company_group, date, mention_count, source_count) causes rejection
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Numeric values outside the allowed range (-1,000,000,000,000 to 1,000,000,000,000) are rejected
- Empty rows array returns an error
- Invalid field enum value (not 'mention_count' or 'source_count') causes a schema error

## How this service works

Brand mention inventories — Record quality audit + Secondary-measure weighted mean: Record quality audit + Secondary-measure weighted mean 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 issues such as missing values, out-of-range entries, and consistency problems across the supplied brand mention rows; (2) a weighted mean calculation for the selected field (mention_count or source_count) using the other measure as the weight. Both reports are computed locally 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
  },
  "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-record-quality-audit-secondary-measure-28414099/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)