# Business Website Inventories — Grouped Numeric Summary + Date by Category Pivot

> Business Website Inventories — Grouped Numeric Summary + 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 2026-10-17).

Generates two analytical reports (grouped numeric summary and date-by-category pivot) for business website inventory records containing page_count and verified_pages fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-23-097?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-17
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/business-website-inventories-grouped-numeric-summary-date-by-category-c9fc030e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_04brwTDDnCAk0J9VKqhwo

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 business-website-inventories-grouped-numeric-summary-date-by-category-c9fc030e -d '<json body>'
```

Example prompt: I have website inventory records for two company groups — group-a and group-b — with dates and page counts. Can you run a grouped numeric summary and a date-by-category pivot on these rows using page_count as the field?

## When to prefer this

Choose this endpoint when you need fast, local analytical computation (no external data fetched) on supplied business website inventory records — specifically grouped numeric summaries and date-by-category pivot tables. Ideal when you already have structured row data with company_group, date, page_count, and verified_pages and need two complementary analytical views in a single low-cost call ($0.01 USDC). Prefer over general-purpose analytics tools when the data fits the schema and you want deterministic, reproducible outputs without prediction or external enrichment.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, company_group, date, page_count, or verified_pages) per row — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — rejected
- Empty rows array (minItems: 1 not met) — validation error
- Invalid field enum value (must be page_count or verified_pages) — rejected

## How this service works

Business website inventories — Grouped numeric summary + Date by category pivot: Grouped numeric summary + Date by category pivot for supplied business website inventories records (page_count, verified_pages). 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) a grouped numeric summary of the selected field (page_count or verified_pages) broken down by company_group, and (2) a date-by-category pivot table showing the selected metric across dates and company groups. Up to 200 input rows are processed using local analytical engines with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "company_group",
     "date",
     "page_count",
     "verified_pages"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "page_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "company_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "verified_pages": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "page_count": 10,
     "company_group": "group-a",
     "verified_pages": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "page_count": 20,
     "company_group": "group-b",
     "verified_pages": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "page_count": 15,
     "company_group": "group-a",
     "verified_pages": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "page_count": 30,
     "company_group": "group-b",
     "verified_pages": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "page_count",
    "verified_pages"
   ],
   "type": "string",
   "default": "page_count"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/business-website-inventories-grouped-numeric-summary-date-by-category-c9fc030e/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)