# Business Event Participation — IQR Outlier Flags + Date by Category Pivot

> Business Event Participation — IQR Outlier Flags + Date by Category Pivot 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).

Runs two local statistical reports on supplied business event participation data: IQR-based outlier flagging and a date-by-category pivot, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-19-178?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-iqr-outlier-flags-date-by-category-pivot-b11249f1
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ZFYpvqffyl7Nub58ZtVyT

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-iqr-outlier-flags-date-by-category-pivot-b11249f1 -d '<json body>'
```

Example prompt: I have up to 200 rows of business event participation records with attendee_count and company_count fields — can you run IQR outlier flagging plus a date-by-category pivot on the attendee_count field? Here are the rows: [{"row_id":"row-1","company_group":"group-a","date":"2026-10-01","attendee_count":10,"company_count":1}, ...]

## When to prefer this

Choose this endpoint when you have up to 200 rows of business event participation data and need both IQR-based statistical outlier detection and a date-by-category pivot in a single low-cost call. It is ideal for pre-reporting data audits, anomaly detection in event metrics, and quick categorical summaries without requiring external data sources or live lookups. Prefer it over generic analytics tools when your data already includes attendee_count and company_count fields structured per event row.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, company_group, date, attendee_count, or company_count) — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure
- Fewer than 1 row provided — minItems constraint violation
- Field value out of allowed numeric range — schema rejection
- Null values in numeric fields may affect IQR computation accuracy

## How this service works

Business event participation — IQR outlier flags + Date by category pivot: IQR outlier flags + Date by category pivot 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) IQR outlier flags for each row indicating whether the chosen metric (attendee_count or company_count) falls outside the interquartile range bounds, and (2) a pivot table of the selected metric aggregated by date and company_group category. Both reports are computed locally using shared analytical engines with no external data 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-iqr-outlier-flags-date-by-category-pivot-b11249f1/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)