# Business Event Participation — Record Quality Audit + Missing-Value Fill

> Business Event Participation — Record Quality Audit + 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 2026-10-20).

Audits data quality and fills missing values (via zero, mean, or median) for business event participation records containing attendee and company counts, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-19-019?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-record-quality-audit-missing-value-fill-af9efb34
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_vJedBhemeNk_5h25xs11S

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-record-quality-audit-missing-value-fill-af9efb34 -d '<json body>'
```

Example prompt: Can you run a record quality audit and fill in any missing attendee_count values using the median method on my business event participation data? I have about 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 both a data quality audit and missing-value imputation for business event participation records (attendee_count, company_count) in a single low-cost call. It is ideal for pre-processing event datasets before analysis, when you have up to 200 rows and need a structured fill report using zero, mean, or median imputation — without requiring any external data lookups or live predictions.

## 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)
- Empty rows array (minItems: 1 required)
- Payment not received or insufficient USDC balance

## How this service works

Business event participation — Record quality audit + Explicit missing-value fill: Record quality audit + Explicit missing-value fill 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 independent reports: (1) a record quality audit summarizing data completeness and issues across the supplied rows, and (2) an explicit missing-value fill report showing imputed values for the specified field (attendee_count or company_count) using the chosen method (zero, mean, or median). Both reports are generated from local analytical engines with no external data 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-record-quality-audit-missing-value-fill-af9efb34/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)