# Business Event Participation — Grouped Numeric Summary + Daily Sum Series

> Business Event Participation — Grouped Numeric Summary + Daily Sum 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 a grouped numeric summary and a daily sum time series for business event participation data (attendee_count and company_count) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-19-089?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-grouped-numeric-summary-daily-sum-series-9e0847ef
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_umgKCzeI4-8a_Ztl3HUhA

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-grouped-numeric-summary-daily-sum-series-9e0847ef -d '<json body>'
```

Example prompt: I have event participation records for October 2026 across two company groups — can you give me a grouped numeric summary and a daily sum series for attendee_count? The data has rows like group-a with 10 attendees on 2026-10-01, group-b with 20 on 2026-10-02, group-a with 15 on 2026-10-03, and group-b with 30 on 2026-10-04.

## When to prefer this

Choose this endpoint when you have business event participation data already on hand (up to 200 rows) and need two complementary analytical views — a grouped summary by company and a daily time series — computed in a single call for a flat fee of $0.01 USDC. It is ideal for batch post-processing of event records where no live data lookup or prediction is needed, and where both group-level and date-level aggregation are required simultaneously.

## Known failure modes

- Missing required fields (row_id, company_group, date, attendee_count, company_count) cause validation errors
- Date strings not matching YYYY-MM-DD pattern are rejected
- Submitting more than 200 rows exceeds the maxItems limit and is rejected
- Null values in numeric fields are accepted but may affect sum/mean calculations
- Invalid field enum value (not attendee_count or company_count) causes a schema error
- Empty rows array (minItems:1 violated) returns an error

## How this service works

Business event participation — Grouped numeric summary + Daily sum series: Grouped numeric summary + Daily sum series 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 independent analytical reports for the supplied rows: (1) a grouped numeric summary breaking down the selected metric (attendee_count or company_count) by company_group, including statistics such as totals, counts, and means per group; and (2) a daily sum time series showing the aggregated value of the selected metric for each date present in the data. Both reports are computed locally from 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",
     "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-grouped-numeric-summary-daily-sum-series-9e0847ef/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)