# Business Event Participation — Numeric Distribution + Trailing Mean Series

> Business Event Participation — Numeric Distribution + 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 numeric distribution statistics and a trailing mean time series for business event participation data (attendee_count or company_count) across up to 200 supplied rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-19-076?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-numeric-distribution-trailing-mean-series-b75c2acb
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_LiDILbwg_fR2OYFyvDGIj

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-distribution-trailing-mean-series-b75c2acb -d '<json body>'
```

Example prompt: I have 4 rows of business event participation data — attendee_count and company_count per date — and I want both a numeric distribution report and a trailing mean series for attendee_count using a window of 2. Can you run those two analyses on my supplied records?

## When to prefer this

Choose this endpoint when you have pre-collected business event participation records (up to 200 rows) and need both a distribution summary and a trailing mean time series in a single low-cost call ($0.01 USDC). It is ideal for offline/batch statistical analysis of event data without requiring any external data sources, predictions, or live lookups. Prefer it over general-purpose analytics tools when you want lightweight, local computation for event attendance or company participation metrics.

## Known failure modes

- Input rows array is empty or missing — validation error
- row_id values are missing or exceed 80 characters — schema validation failure
- Date fields do not match YYYY-MM-DD pattern — rejected by pattern validation
- Numeric values for attendee_count or company_count exceed allowed range — error
- More than 200 rows submitted — rejected by maxItems constraint
- Window value less than 2 or greater than 200 — schema validation failure
- Field enum value not 'attendee_count' or 'company_count' — rejected

## How this service works

Business event participation — Numeric distribution + Trailing mean series: Numeric distribution + 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: (1) a numeric distribution summary (e.g. min, max, mean, percentiles, histogram-style breakdown) for the selected field (attendee_count or company_count), and (2) a trailing mean time series computed over the specified window size — both derived entirely from the supplied rows 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-numeric-distribution-trailing-mean-series-b75c2acb/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)