# Brand Mention Inventories — Category Frequencies + Equal-Width Histogram

> Brand Mention Inventories — Category Frequencies + Equal-Width Histogram 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 category-level frequency counts and an equal-width histogram for brand mention inventory records (mention_count or source_count) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-18-106?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-category-frequencies-equal-width-histogram-ca27d2ef
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_BIsVVnpqxgj9aStj4r2ZA

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-category-frequencies-equal-width-histogram-ca27d2ef -d '<json body>'
```

Example prompt: Analyze the distribution of mention_count in my brand mention data — I have 4 rows with company groups 'Acme' and 'BrandCo' across October 2026 dates — give me the category frequencies and a 5-bin equal-width histogram.

## When to prefer this

Choose this endpoint when you have brand mention inventory data in hand (up to 200 rows) and need both a categorical frequency breakdown by company group and a numeric histogram of mention or source counts in a single low-cost call ($0.01 USDC). Prefer it over general-purpose analytics tools when you want a quick, offline statistical summary without any external data lookups or live API dependencies. It is specifically suited for brand monitoring workflows where you already hold the raw mention records and want distribution insights.

## Known failure modes

- Rows array empty or missing — minimum 1 row required
- Row count exceeds 200 — service only processes up to 200 rows
- Invalid date format in row — must match YYYY-MM-DD pattern
- Missing required row fields (row_id, company_group, date, mention_count, source_count)
- Bins value out of range — must be between 1 and 30
- All values null for selected field — histogram cannot be computed
- Invalid field enum value — must be 'mention_count' or 'source_count'

## How this service works

Brand mention inventories — Category frequencies + Equal-width histogram: Category frequencies + Equal-width histogram 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 two analytical reports: (1) category frequencies showing how often each company_group appears or the count distribution of the selected field by category, and (2) an equal-width histogram dividing the selected numeric field (mention_count or source_count) into the specified number of bins with frequency counts per bin. Both reports are computed locally from the supplied rows without any external data lookup.

## 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-category-frequencies-equal-width-histogram-ca27d2ef/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)