# Brand Mention Inventories — Numeric Distribution + Keyed Dataset Comparison

> Brand Mention Inventories — Numeric Distribution + Keyed Dataset Comparison 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).

Computes numeric distribution statistics and performs keyed row-by-row comparison between two supplied brand mention inventory datasets (mention_count, source_count) for up to 200 rows each.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-18-084?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-numeric-distribution-keyed-dataset-comparison-0a038fce
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_MqoZs6gXRNWiGcaOsk82o

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-numeric-distribution-keyed-dataset-comparison-0a038fce -d '<json body>'
```

Example prompt: Compare these two brand mention inventory datasets for mention_count — the first has 4 rows for group-a and group-b from October 2026, and the second is the same structure but with slightly different counts — give me a numeric distribution report and a keyed row-by-row comparison.

## When to prefer this

Choose this endpoint when you have pre-collected brand mention inventory data in tabular form and need both a numeric distribution analysis and a keyed side-by-side comparison between two datasets in a single call. It is ideal for offline/batch analytical workflows where no live data lookup is needed, and when cost efficiency matters (both reports for $0.01 USDC). Prefer alternatives if you need live brand mention fetching, sentiment analysis, or more than 200 rows per dataset.

## Known failure modes

- Rows array empty or missing — validation error
- More than 200 rows submitted — rejected with max items error
- Row missing required fields (row_id, company_group, date, mention_count, source_count) — schema validation failure
- Invalid date format (not YYYY-MM-DD) — pattern mismatch error
- Numeric values outside allowed range (±1 trillion) — validation error
- field enum value not 'mention_count' or 'source_count' — rejected
- Mismatched row_ids between primary and other datasets — comparison may yield sparse results or nulls

## How this service works

Brand mention inventories — Numeric distribution + Keyed dataset comparison: Numeric distribution + Keyed dataset comparison 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 analytical reports: (1) a numeric distribution summary (e.g. min, max, mean, percentiles, histogram buckets) for the selected field (mention_count or source_count) across the primary dataset; (2) a keyed row-by-row comparison between the primary dataset and the secondary (other) dataset, highlighting differences per row_id for the selected field. All computation is local — 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}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "source_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "company_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "mention_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "source_count": 1,
     "company_group": "group-a",
     "mention_count": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "source_count": 2,
     "company_group": "group-b",
     "mention_count": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "source_count": 3,
     "company_group": "group-a",
     "mention_count": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "source_count": 4,
     "company_group": "group-b",
     "mention_count": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "mention_count",
    "source_count"
   ],
   "type": "string",
   "default": "mention_count"
  },
  "other": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "company_group",
     "date",
     "mention_count",
     "source_count"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "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"
      ],
    
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/brand-mention-inventories-numeric-distribution-keyed-dataset-comparison-0a038fce/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)