# Business Event Participation — Daily Sum Series + Date by Category Pivot

> Business Event Participation — Daily Sum 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 daily sum time series and a date-by-category pivot table for supplied business event participation data (attendee_count or company_count) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-19-143?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/business-event-participation-daily-sum-series-date-by-category-pivot-0f00490f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_wCaJuDXz8gACkpxyIILWH

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-event-participation-daily-sum-series-date-by-category-pivot-0f00490f -d '<json body>'
```

Example prompt: I have a list of business event participation records with dates, company groups, attendee counts, and company counts — can you compute a daily sum time series and a date-by-category pivot for the attendee_count field across all my rows?

## When to prefer this

Choose this endpoint when you have pre-collected business event participation records (up to 200 rows) and need both a daily aggregate time series AND a date-by-category pivot in a single low-cost call. It is ideal for offline/batch reporting on event attendance data where no live data fetching, prediction, or external enrichment is needed, and where you want two complementary analytical views for the price of one call.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, company_group, date, attendee_count, company_count) causes validation error
- Date field not matching YYYY-MM-DD pattern causes schema rejection
- Invalid field enum value (not attendee_count or company_count) causes error
- Empty rows array (minItems:1 not satisfied) causes rejection
- Numeric values outside ±1,000,000,000,000 range rejected

## How this service works

Business event participation — Daily sum series + Date by category pivot: Daily sum series + Date by category pivot for supplied business event participation records (attendee_count, company_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) a daily sum time series showing totals of the selected metric (attendee_count or company_count) aggregated by date, and (2) a date-by-category pivot table cross-tabulating values by date and company_group. Both reports are computed locally from the supplied input rows with no external data lookup.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/business-event-participation-daily-sum-series-date-by-category-pivot-0f00490f/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)