# Business Event Participation Data Quality Suite (Record Audit + String Normalisation + Deduplication)

> Business Event Participation Data Quality Suite (Record Audit + String Normalisation + Deduplication) 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 local analytical reports on business event participation records: a record quality audit, string normalisation, and exact row deduplication — up to 200 rows per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-19-191?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-suite-record-audit-string-ef5ac5a3
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_r9pMo3nXo6ADC9YKu3DiW

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-suite-record-audit-string-ef5ac5a3 -d '<json body>'
```

Example prompt: Can you run a quality audit, string normalisation, and exact row deduplication on my business event participation records? I have rows with fields like row_id, company_group, date, attendee_count, and company_count — here are up to 200 rows I need cleaned and validated.

## When to prefer this

Choose this endpoint when you need a combined, affordable ($0.01 USDC) batch operation that simultaneously audits data quality, normalises strings, and deduplicates records in a single call for datasets up to 200 rows of business event participation data. Ideal when you want purely local analytical processing with no external API calls or live data lookups, and when your data involves event attendance metrics (attendee_count, company_count) grouped by company.

## Known failure modes

- Exceeding 200 rows returns an error or truncation
- Rows missing required fields (row_id, company_group, date, attendee_count, company_count) cause validation errors
- Invalid date formats (not YYYY-MM-DD) fail schema validation
- Numeric values outside the allowed range (-1e12 to 1e12) are rejected
- Empty rows array is rejected (minItems: 1)

## How this service works

Business event participation — Record quality audit + String normalisation + Exact row deduplication: Record quality audit + String normalisation + Exact row deduplication 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 covering: (1) a record quality audit highlighting issues with field completeness, format violations, and anomalous values; (2) a string normalisation report showing standardised versions of text fields like company_group; (3) an exact row deduplication report identifying and removing identical rows from the dataset. All analysis is performed 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/business-event-participation-data-quality-suite-record-audit-string-ef5ac5a3/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)