# Business Event Participation Data Quality Audit — Deduplication & Category Frequencies

> Business Event Participation Data Quality Audit — Deduplication & Category Frequencies 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).

Runs three analytical reports on business event participation data: a record quality audit, exact row deduplication, and category frequency analysis, all in one call for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-19-212?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-data-quality-audit-deduplication-4398f4ba
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_2LAYcSO1JGS101muGwe7N

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-audit-deduplication-4398f4ba -d '<json body>'
```

Example prompt: Can you audit my business event participation records for data quality issues, remove exact duplicate rows, and give me a frequency count of each company group? I have up to 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 three complementary data quality operations — quality audit, deduplication, and category frequency — on business event participation data in a single low-cost call. Ideal for preprocessing event datasets of up to 200 rows before downstream analytics or reporting, especially when you need all three reports at once rather than calling separate services. Not suited for live event lookups, predictions, or datasets exceeding 200 rows.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Rows missing required fields (row_id, company_group, date, attendee_count, company_count) are rejected
- Invalid date format (not YYYY-MM-DD) causes row-level or request-level failure
- Numeric values outside the allowed range trigger schema validation errors
- Empty rows array returns an error
- Payment not included or insufficient USDC balance results in 402 response

## How this service works

Business event participation — Record quality audit + Exact row deduplication + Category frequencies: Record quality audit + Exact row deduplication + Category frequencies 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

Three independent reports in one response: (1) a record quality audit flagging nulls, out-of-range values, and malformed dates across all rows; (2) an exact row deduplication report identifying and removing fully duplicate records; and (3) a category frequency table showing how often each company_group value appears in the supplied dataset. All analysis is performed locally on the submitted data 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/business-event-participation-data-quality-audit-deduplication-4398f4ba/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)