# Business Event Participation — Category Frequencies + Trailing Mean Series

> Business Event Participation — Category Frequencies + 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 2026-10-20).

Computes category frequency distributions and trailing mean time series for business event participation data (attendee_count, company_count) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-19-103?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-category-frequencies-trailing-mean-series-d8752b5d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_HdBAum2VmMkFRHSU821kk

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-category-frequencies-trailing-mean-series-d8752b5d -d '<json body>'
```

Example prompt: I have a list of up to 200 business event records with attendee counts and company groups — can you run both a category frequency report and a trailing mean series with a window of 3 on the attendee_count field for me?

## When to prefer this

Choose this endpoint when you have up to 200 business event participation records and need both a categorical frequency breakdown and a rolling/trailing mean time series in a single low-cost call. Ideal for offline batch analytics on supplied data without needing external APIs, predictions, or live data lookups. Best when both reports are needed together to save cost versus calling separate analytical services.

## Known failure modes

- Fewer than 1 row or more than 200 rows supplied — rejected by schema validation
- Window size larger than the number of supplied rows — trailing mean may produce sparse or empty results
- Missing required fields (row_id, company_group, date, attendee_count, company_count) — schema validation error
- Invalid date format (must be YYYY-MM-DD) — schema validation error
- Null values in the selected field may affect trailing mean calculation accuracy

## How this service works

Business event participation — Category frequencies + Trailing mean series: Category frequencies + 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

Returns two independent analytical reports: (1) a category frequency table showing how often each company_group category appears in the supplied rows, and (2) a trailing mean time series computed over the specified window for the chosen field (attendee_count or company_count). Both reports are derived solely 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/business-event-participation-category-frequencies-trailing-mean-series-d8752b5d/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)