# Brand Mention Inventories — Equal-Width Histogram + Date by Category Pivot

> Brand Mention Inventories — Equal-Width Histogram + Date by Category Pivot 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).

Generates two local analytical reports (equal-width histogram and date-by-category pivot) for supplied brand mention inventory data (mention_count, source_count) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-18-173?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-equal-width-histogram-date-by-category-pivot-08c43978
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_rtI0-nomigSyr7rjRYU3t

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-equal-width-histogram-date-by-category-pivot-08c43978 -d '<json body>'
```

Example prompt: Analyze my brand mention data across these 50 rows — run an equal-width histogram with 10 bins on the mention_count field and also give me a date-by-category pivot grouped by company_group.

## When to prefer this

Choose this endpoint when you have up to 200 brand mention inventory rows with mention_count and/or source_count fields and need both a histogram distribution view and a date-by-category pivot in a single low-cost call. Ideal for offline/supplied-data analysis where no live data lookup or external enrichment is needed. Best suited for brand monitoring, PR analytics, or competitive intelligence workflows that require summarizing mention frequency distributions alongside temporal category breakdowns.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Invalid date format (non YYYY-MM-DD) causes row rejection
- Bins value outside 1-30 range triggers schema validation failure
- Missing required fields (row_id, company_group, date, mention_count, source_count) causes row-level errors
- Null numeric values may reduce effective row count in histogram
- Payment of 0.01 USDC not completed results in 402 response

## How this service works

Brand mention inventories — Equal-width histogram + Date by category pivot: Equal-width histogram + Date by category pivot 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) an equal-width histogram showing frequency distribution of the selected field (mention_count or source_count) across the specified number of bins, and (2) a date-by-category pivot table aggregating values by date and company_group. Both reports are computed locally from the supplied data rows.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "bins": {
   "type": "integer",
   "default": 5,
   "maximum": 30,
   "minimum": 1
  },
  "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-equal-width-histogram-date-by-category-pivot-08c43978/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)