# Business Event Participation — Row Ordering + Weighted Mean Analytics

> Business Event Participation — Row Ordering + Weighted Mean Analytics 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).

Computes numeric row ordering and secondary-measure weighted mean for business event participation data (attendee_count, company_count) across up to 200 rows in two bundled reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-19-121?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/business-event-participation-row-ordering-weighted-mean-analytics-280eaf72
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_gHZIQGEeiyD5v-MtjWVBS

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-row-ordering-weighted-mean-analytics-280eaf72 -d '<json body>'
```

Example prompt: Can you rank these business event participation rows by attendee_count and also compute the weighted mean of attendee_count weighted by company_count? I have 4 rows: row-1 (group-a, 2026-10-01, 10 attendees, 1 company), row-2 (group-b, 2026-10-02, 20 attendees, 2 companies), row-3 (group-a, 2026-10-03, 15 attendees, 3 companies), row-4 (group-b, 2026-10-04, 30 attendees, 4 companies).

## When to prefer this

Use this endpoint when you need both a numeric row ranking and a weighted mean computed over business event participation records (attendee and company counts) in a single low-cost call. It is best when you have up to 200 rows of structured event data and want two statistical reports bundled together without external API dependencies or live data lookups.

## Known failure modes

- More than 200 rows submitted — request rejected
- Missing required fields (row_id, company_group, date, attendee_count, company_count) — validation error
- Invalid date format (must be YYYY-MM-DD) — schema rejection
- field enum value not one of attendee_count or company_count — error
- Numeric values outside allowed range (±1,000,000,000,000) — rejected
- Empty rows array — error

## How this service works

Business event participation — Numeric row ordering + Secondary-measure weighted mean: Numeric row ordering + Secondary-measure weighted mean 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) numeric row ordering of the submitted event participation records by the chosen field, and (2) a secondary-measure weighted mean calculation — all computed locally without external lookups. Results cover up to 200 input rows.

## 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-row-ordering-weighted-mean-analytics-280eaf72/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)