# Business Event Participation Data Quality — Audit, String Normalisation & Missing-Value Fill

> Business Event Participation Data Quality — Audit, String Normalisation & Missing-Value Fill 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 local analytical reports on business event participation records: a record quality audit, string normalisation, and explicit missing-value fill for attendee_count or company_count fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-19-208?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-string-normalisation-7c934718
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_FRtSm1Q7kH2sobWixmQWZ

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-string-normalisation-7c934718 -d '<json body>'
```

Example prompt: Can you audit the quality of these business event participation records, normalise the company_group strings, and fill any missing attendee_count values using median imputation? I have about 50 rows covering events from October 2026.

## When to prefer this

Choose this endpoint when you need a combined data quality audit, string normalisation, and missing-value imputation for business event participation data (attendee and company counts) in a single low-cost call. It is ideal for pre-processing event datasets before analysis or import, with no need for external data sources or live lookups. Best suited for batches up to 200 rows requiring all three report types simultaneously.

## Known failure modes

- More than 200 rows submitted — exceeds maxItems limit
- Missing required fields (row_id, company_group, date, attendee_count, company_count) in any row
- Invalid date format (must match YYYY-MM-DD pattern)
- Invalid enum value for field or method parameters
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)
- Payment not received or insufficient USDC balance

## How this service works

Business event participation — Record quality audit + String normalisation + Explicit missing-value fill: Record quality audit + String normalisation + Explicit missing-value fill 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 for the submitted rows (up to 200): (1) a record quality audit flagging issues such as nulls, out-of-range values, or malformed dates; (2) string normalisation results for company_group and other string fields; and (3) an explicit missing-value fill result for the specified numeric field (attendee_count or company_count) using the chosen method (zero, mean, or median). All processing 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
  },
  "field": {
   "enum": [
    "attendee_count",
    "company_count"
   ],
   "type": "string",
   "default": "attendee_count"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/business-event-participation-data-quality-audit-string-normalisation-7c934718/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)