# Business Event Participation — Numeric Row Ordering + IQR Outlier Flags

> Business Event Participation — Numeric Row Ordering + IQR Outlier Flags 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).

Ranks rows by attendee_count or company_count and flags statistical outliers using the IQR method across up to 200 business event participation records, producing two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-19-119?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-row-ordering-iqr-outlier-flags-7f35b916
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_oIJo7TF5lC4ylvggAdJWh

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-iqr-outlier-flags-7f35b916 -d '<json body>'
```

Example prompt: I have 4 business event records with attendee and company counts — can you rank them numerically by attendee_count and flag any IQR outliers? The rows are: 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

Choose this endpoint when you have structured business event participation records (up to 200 rows) and need both a ranked ordering and IQR-based outlier detection in a single call for either attendee_count or company_count. It is ideal for lightweight, offline statistical analysis without requiring a full analytics platform, and is cost-effective at $0.01 USDC for two reports simultaneously. Prefer it over generic statistical tools when your data already fits the schema of event rows with company_group, date, and participation counts.

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, company_group, date, attendee_count, company_count) cause validation errors
- Malformed date strings not matching YYYY-MM-DD pattern fail schema validation
- Too few rows (fewer than 1) to compute meaningful IQR — IQR flags may be trivial or undefined
- Invalid field enum value (not attendee_count or company_count) causes request rejection
- Null values in the target field may affect ordering and outlier computation accuracy

## How this service works

Business event participation — Numeric row ordering + IQR outlier flags: Numeric row ordering + IQR outlier flags 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 for the submitted rows: (1) a numeric row ordering report ranking all rows by the selected field (attendee_count or company_count), and (2) an IQR outlier flags report identifying which rows fall outside the interquartile range bounds for that field. No external lookups or predictions are made — all computation is performed locally on the supplied data.

## 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-numeric-row-ordering-iqr-outlier-flags-7f35b916/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)