# Brand Mention Inventories — Exact Row Deduplication + Explicit Missing-Value Fill

> Brand Mention Inventories — Exact Row Deduplication + Explicit Missing-Value Fill 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).

Deduplicates exact duplicate rows and fills missing values (mention_count or source_count) in brand mention inventory datasets using zero, mean, or median imputation.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-18-054?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-exact-row-deduplication-explicit-missing-67623542
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_DA3R5XTVGZ64EYsn1IcNh

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-exact-row-deduplication-explicit-missing-67623542 -d '<json body>'
```

Example prompt: I have up to 200 rows of brand mention inventory data with some duplicate rows and missing mention_count values — can you deduplicate the exact duplicates and fill the missing mention_count using median imputation?

## When to prefer this

Choose this endpoint when you have brand mention inventory records (with mention_count and/or source_count fields) that contain exact duplicate rows and/or missing numeric values, and you need both cleaned in a single pass with configurable imputation strategy (zero, mean, or median). Best suited for small-to-medium datasets up to 200 rows where you want two independent summary reports from the same cleaned data without any external API calls or live lookups.

## Known failure modes

- Input array is empty (minItems: 1 violated)
- More than 200 rows supplied (maxItems: 200 exceeded)
- row_id missing or empty string (minLength: 1 violated)
- date field does not match YYYY-MM-DD pattern
- numeric fields outside allowed range (±1,000,000,000,000)
- Invalid enum value for 'field' or 'method' parameters
- Payment of 0.01 USDC not fulfilled (x402 payment required)

## How this service works

Brand mention inventories — Exact row deduplication + Explicit missing-value fill: Exact row deduplication + Explicit missing-value fill 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 2 analytical reports on the supplied brand mention inventory dataset (up to 200 rows) after exact duplicate rows have been removed and missing values in the specified field (mention_count or source_count) have been filled using the chosen method (zero, mean, or median). No external lookups or predictions are made; all processing uses local analytical engines.

## 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/brand-mention-inventories-exact-row-deduplication-explicit-missing-67623542/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)