# Business Event Participation Data Quality & Summary Analyzer

> Business Event Participation Data Quality & Summary Analyzer 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 three analytical reports (record quality audit, exact row deduplication, and grouped numeric summary) on business event participation data with attendee and company counts.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-19-211?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-data-quality-summary-analyzer-6d481dc5
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_l56GWLtvMz3Qh0kTwFePC

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-data-quality-summary-analyzer-6d481dc5 -d '<json body>'
```

Example prompt: Can you run a data quality audit, exact duplicate check, and grouped numeric summary on my business event participation records? I have up to 50 rows with fields like company_group, date, attendee_count, and company_count — please summarize by attendee_count.

## When to prefer this

Choose this endpoint when you need to simultaneously audit data quality, remove exact duplicates, and compute grouped numeric aggregations on business event participation data (up to 200 rows) in a single low-cost call. Ideal when you have structured event records with company groupings and want three analytical reports without any external API calls, live lookups, or predictions. Best for preprocessing pipelines, data validation before import, or lightweight analytics on small-to-medium event datasets.

## Known failure modes

- Rows array is empty or missing — validation error returned
- More than 200 rows submitted — request rejected with limit error
- Required fields (row_id, company_group, date, attendee_count, company_count) missing from row objects — schema validation failure
- Date field does not match YYYY-MM-DD format — pattern validation error
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — validation error
- Invalid field enum value (not attendee_count or company_count) — schema rejection

## How this service works

Business event participation — Record quality audit + Exact row deduplication + Grouped numeric summary: Record quality audit + Exact row deduplication + Grouped numeric summary for supplied business event participation records (attendee_count, company_count). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Returns three independent reports: (1) a record quality audit flagging missing, null, or malformed values; (2) an exact row deduplication report identifying duplicate entries; and (3) a grouped numeric summary aggregating the selected numeric field (attendee_count or company_count) by company_group. All computed locally 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/business-event-participation-data-quality-summary-analyzer-6d481dc5/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)