# Brand Mention Inventories — Trailing Mean Series + Date by Category Pivot

> Brand Mention Inventories — Trailing Mean 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 2026-10-20).

Computes a trailing mean time series and a date-by-category pivot table for supplied brand mention inventory records (mention_count, source_count) in a single call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-18-152?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-trailing-mean-series-date-by-category-pivot-03d0234f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_DPUoPqYphyfXCnbh6DOhB

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-trailing-mean-series-date-by-category-pivot-03d0234f -d '<json body>'
```

Example prompt: Take my brand mention inventory data for groups 'acme' and 'globex' from October 2026 — mention_count and source_count per day — and give me both a trailing mean series with a 7-day window and a date-by-category pivot for mention_count.

## When to prefer this

Choose this endpoint when you have pre-collected brand mention inventory data (up to 200 rows) and need both a rolling/trailing mean time series and a date-by-category pivot in one low-cost call. Ideal for offline batch analytics on brand monitoring datasets where no live data retrieval or external enrichment is needed. Best when you want two complementary analytical views (trend smoothing + cross-tabulation) for mention_count or source_count in a single request.

## Known failure modes

- Missing required fields (row_id, company_group, date, mention_count, source_count) cause validation errors
- Date strings not matching YYYY-MM-DD pattern are rejected
- More than 200 rows submitted exceeds the row limit
- Window size outside range 2–200 is rejected
- Payment of 0.01 USDC not provided or fails x402 flow results in 402 response
- Null numeric values may affect trailing mean computation depending on handling

## How this service works

Brand mention inventories — Trailing mean series + Date by category pivot: Trailing mean 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 independent analytical reports: (1) a trailing mean time series showing smoothed values of the chosen field (mention_count or source_count) over the specified rolling window for each company group, and (2) a date-by-category pivot table cross-tabulating dates against company groups for the selected metric. Both reports are computed locally against the 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/brand-mention-inventories-trailing-mean-series-date-by-category-pivot-03d0234f/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)