# Business Event Participation — Record Quality Audit + IQR Outlier Flags

> Business Event Participation — Record Quality Audit + 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).

Audits data quality and flags IQR-based outliers in business event participation records (attendee_count, company_count) for up to 200 rows, returning 2 independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-19-014?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-record-quality-audit-iqr-outlier-flags-48af549f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_K94RTodlOmPANfX5Xqf1p

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-record-quality-audit-iqr-outlier-flags-48af549f -d '<json body>'
```

Example prompt: Can you run a data quality audit and flag any IQR outliers on my business event participation records for the attendee_count field? I have about 50 rows with fields like row_id, company_group, date, attendee_count, and company_count.

## When to prefer this

Choose this endpoint when you need a combined data quality audit and IQR outlier detection specifically for business event participation records with attendee and company count fields, in batches up to 200 rows. It is ideal for pre-analysis data validation pipelines where no live lookup, prediction, or external action is needed — just fast, local statistical analysis at low cost ($0.01 per call for 2 reports).

## Known failure modes

- Exceeding 200 rows returns an error — batch must be split
- Missing required fields (row_id, company_group, date, attendee_count, company_count) causes validation failure
- Invalid date format (not YYYY-MM-DD) triggers schema rejection
- Null values in the selected numeric field may reduce outlier detection accuracy
- Empty rows array returns an error (minItems: 1)

## How this service works

Business event participation — Record quality audit + IQR outlier flags: Record quality audit + 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 2 independent reports: (1) a record quality audit covering completeness, format validity, and data integrity issues per row, and (2) IQR-based outlier flags identifying which rows have statistically anomalous values in the selected field (attendee_count or company_count), all computed locally without 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/business-event-participation-record-quality-audit-iqr-outlier-flags-48af549f/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)