# Brand Mention Inventories — Category Frequencies + Base-100 Series

> Brand Mention Inventories — Category Frequencies + Base-100 Series 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 distributions and a Base-100 indexed series for up to 200 rows of brand mention inventory data (mention_count and source_count fields).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-18-105?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-base-100-series-bf3482d0
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Mop-o2LbVpoNIxLMsDVCO

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-base-100-series-bf3482d0 -d '<json body>'
```

Example prompt: I have a dataset of brand mentions across two company groups from October 2026 — can you compute the category frequencies and a Base-100 index series starting from row 0 for the mention_count field? Here are the rows: group-a had 10 mentions on 2026-10-01, group-b had 20 on 2026-10-02, group-a had 15 on 2026-10-03, and group-b had 30 on 2026-10-04.

## When to prefer this

Use this endpoint when you have a pre-collected dataset of brand mention rows (up to 200) and need two specific local analytical outputs: category frequency distributions and a Base-100 indexed time series — all without any external API calls or live data. Prefer this over live brand monitoring APIs when you already have the data and just need fast, cheap statistical transformation. Ideal for batch post-processing of scraped or aggregated brand mention inventories.

## Known failure modes

- Exceeds 200 row limit — request will be rejected or truncated
- Missing required fields (row_id, company_group, date, mention_count, source_count) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- base_index out of range (must be 0–199 and within actual row count) — error
- Null values in the selected numeric field may affect index calculation accuracy
- Submitting fewer than 1 row — schema minimum violation

## How this service works

Brand mention inventories — Category frequencies + Base-100 series: Category frequencies + Base-100 series 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 for the supplied data: (1) category frequencies showing how mention or source counts are distributed across company groups, and (2) a Base-100 indexed series showing relative change in the selected field over rows, anchored to the specified base_index row. Results are computed locally from supplied data 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/brand-mention-inventories-category-frequencies-base-100-series-bf3482d0/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)