# Business Event Participation — Exact Row Deduplication + IQR Outlier Flags

> Business Event Participation — Exact Row Deduplication + 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 2026-10-16).

Deduplicates exact rows and flags IQR-based outliers in business event participation data (attendee_count, company_count) for up to 200 rows, producing 2 analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-19-049?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/business-event-participation-exact-row-deduplication-iqr-outlier-flags-61cd285d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_JDwURCd3E5mzwuk7fb6VY

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-exact-row-deduplication-iqr-outlier-flags-61cd285d -d '<json body>'
```

Example prompt: Can you deduplicate and IQR-flag my event participation dataset for attendee_count? I have about 50 rows with fields row_id, company_group, date, attendee_count, and company_count — I want both the deduplication report and the outlier flags in one go.

## When to prefer this

Choose this endpoint when you need both exact row deduplication and IQR-based outlier detection on business event participation data (attendee_count and company_count) in a single low-cost call. Ideal for data quality checks on small-to-medium datasets (up to 200 rows) before reporting or analysis. Prefer this over general-purpose data tools when you specifically need the two-report bundle (deduplication + outlier flags) with no external lookup or prediction, at a predictable flat cost of $0.01 USDC.

## Known failure modes

- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, company_group, date, attendee_count, company_count) causes a schema rejection
- Invalid date format (not YYYY-MM-DD) fails pattern validation
- Payment of 0.01 USDC not included or rejected causes a 402 Payment Required response
- Empty rows array (minItems:1 violated) returns an error
- Values outside allowed numeric range cause schema rejection

## How this service works

Business event participation — Exact row deduplication + IQR outlier flags: Exact row deduplication + 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 analytical reports: (1) a deduplication report identifying exact duplicate rows in the submitted dataset, and (2) an IQR outlier flagging report marking records whose selected field (attendee_count or company_count) falls outside the interquartile range bounds. No external data is fetched; all analysis is performed locally on the supplied rows.

## 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-exact-row-deduplication-iqr-outlier-flags-61cd285d/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)