# Business Event Participation Data Quality & Distribution Analyzer

> Business Event Participation Data Quality & Distribution 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 local analytical reports on business event participation records: record quality audit, string normalization, and numeric distribution for attendee_count and company_count fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-19-193?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-distribution-analyzer-c45632a6
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_9-zWo9yHE0aN1Yb6btfy6

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-distribution-analyzer-c45632a6 -d '<json body>'
```

Example prompt: Can you run a full data quality audit, string normalization, and numeric distribution report on my business event participation records? I have rows with fields like row_id, company_group (e.g. 'group-a', 'group-b'), date (e.g. 2026-10-01), attendee_count, and company_count — up to 200 rows — and I want all three reports in one go, analyzing the attendee_count field.

## When to prefer this

Choose this endpoint when you need a quick, affordable ($0.01) batch data profiling pass on up to 200 business event participation records and want three reports — quality audit, string normalization, and numeric distribution — in a single call without any external data lookups or AI inference. Ideal for pre-processing pipelines where you need to validate and profile raw event attendance data locally before downstream analysis.

## Known failure modes

- Row count exceeds 200 items — request rejected
- Missing required fields (row_id, company_group, date, attendee_count, company_count) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes row-level rejection
- Numeric values outside allowed range (±1,000,000,000,000) may fail schema validation
- Empty rows array (minItems: 1 not met) causes request failure
- Payment not supplied or insufficient USDC causes x402 payment error

## How this service works

Business event participation — Record quality audit + String normalisation + Numeric distribution: Record quality audit + String normalisation + Numeric distribution 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 analytical reports: (1) a record quality audit flagging missing, malformed, or out-of-range values; (2) a string normalization report identifying and correcting inconsistencies in company_group labels; and (3) a numeric distribution report summarizing the statistical distribution (e.g. min, max, mean, histogram bins) of the selected numeric field (attendee_count or company_count) across all submitted rows. 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-distribution-analyzer-c45632a6/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)