# Business Event Participation — Numeric Row Ordering + Trailing Mean Series

> Business Event Participation — Numeric Row Ordering + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).

Applies numeric row ordering and trailing mean series analysis to business event participation data (attendee_count, company_count) for up to 200 rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-19-115?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-numeric-row-ordering-trailing-mean-series-107a6fa6
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_pKi_FPorhcy3rd-JGHnwq

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-numeric-row-ordering-trailing-mean-series-107a6fa6 -d '<json body>'
```

Example prompt: I have 4 rows of business event participation data with attendee_count and company_count fields — can you rank them numerically and compute a trailing mean series with a window of 2 for the attendee_count field? The rows are: 2026-10-01 group-a 10 attendees 1 company, 2026-10-02 group-b 20 attendees 2 companies, 2026-10-03 group-a 15 attendees 3 companies, 2026-10-04 group-b 30 attendees 4 companies.

## When to prefer this

Choose this endpoint when you have up to 200 business event participation records and need both numeric row ordering and a trailing mean series computed together in a single call at minimal cost. It is ideal for offline/batch analytical reporting on supplied data without any need for live data lookup, predictions, or external integrations. Prefer this over general-purpose analytics tools when you want a cheap, deterministic, two-report bundle specifically scoped to attendee_count and company_count metrics.

## Known failure modes

- More than 200 rows submitted — request rejected due to maxItems constraint
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Window value less than 2 or greater than 200 — parameter out of range
- Missing required fields (row_id, company_group, date, attendee_count, company_count) — schema error
- Field value not in enum ['attendee_count','company_count'] — validation error
- Empty rows array — minItems constraint violation

## How this service works

Business event participation — Numeric row ordering + Trailing mean series: Numeric row ordering + Trailing mean 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

Two analytical reports for the supplied business event participation rows: (1) a numeric row ordering report ranking each row by the selected field, and (2) a trailing mean series report showing rolling averages over the specified window size for the chosen metric (attendee_count or company_count).

## 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/business-event-participation-numeric-row-ordering-trailing-mean-series-107a6fa6/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)