# Brand Mention Inventories — Base-100 Series + Date by Category Pivot

> Brand Mention Inventories — Base-100 Series + 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 analytical reports from supplied brand mention data: a base-100 indexed time series and a date-by-category pivot table, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-18-167?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-base-100-series-date-by-category-pivot-fb6ea142
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_8Kmr7pHVPKEGPh7XFkAiX

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-base-100-series-date-by-category-pivot-fb6ea142 -d '<json body>'
```

Example prompt: I have brand mention data for group-a and group-b across October 2026 — can you run a base-100 indexed series and a date-by-category pivot on the mention_count field, using row 0 as the base index? Here are the rows: [{row_id: 'row-1', company_group: 'group-a', date: '2026-10-01', mention_count: 10, source_count: 1}, {row_id: 'row-2', company_group: 'group-b', date: '2026-10-02', mention_count: 20, source_count: 2}].

## When to prefer this

Choose this endpoint when you have brand mention inventory data (mention_count, source_count) already in hand and need two specific analytical outputs — a base-100 indexed series and a date-by-category pivot — computed locally without any live data lookup or external data enrichment. It is ideal for agents that need quick, cost-effective (0.01 USDC) offline analytics on up to 200 rows of pre-collected brand mention records.

## Known failure modes

- Empty or missing rows array returns an error
- Rows exceeding 200 items are rejected
- Invalid date format (not YYYY-MM-DD) causes validation failure
- base_index out of range (0–199) or exceeding row count causes an error
- Null values in mention_count or source_count may affect index calculation
- Unrecognized field value (not mention_count or source_count) returns a validation error
- Payment of 0.01 USDC not received results in 402 response

## How this service works

Brand mention inventories — Base-100 series + Date by category pivot: Base-100 series + 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 computed locally from the supplied data: (1) a base-100 indexed time series for the chosen field (mention_count or source_count) rebased to the specified row index, enabling relative comparison across time; and (2) a date-by-category pivot table cross-tabulating values by date and company_group. Up to 200 input rows are supported per call.

## 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-base-100-series-date-by-category-pivot-fb6ea142/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)