# Business Event Participation Data Quality & Analytics — Record Audit, String Normalisation, Category Frequencies

> Business Event Participation Data Quality & Analytics — Record Audit, String Normalisation, 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 local analytical reports on business event participation data (up to 200 rows): a record quality audit, string normalisation, and category frequency counts for attendee_count and company_count fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-19-195?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-analytics-record-audit-88166a3d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Hs-SbqffDy8I9vOBdklyV

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-analytics-record-audit-88166a3d -d '<json body>'
```

Example prompt: Can you audit the quality of my business event participation records, normalise the company group strings, and give me frequency counts by category? 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 have up to 200 rows of business event participation data and need three types of analysis in a single low-cost call: data quality auditing, string normalisation, and category frequency reporting. It is ideal for pre-processing or QA steps before downstream analysis, dashboard loading, or reporting. Prefer this over general-purpose data tools when you specifically need all three report types bundled cheaply ($0.01 USDC) and your data fits the attendee_count/company_count/company_group schema.

## Known failure modes

- Exceeding 200 rows in the input array returns a validation error
- Missing required fields (row_id, company_group, date, attendee_count, company_count) cause row-level or request-level rejection
- Malformed date strings not matching YYYY-MM-DD pattern are flagged or rejected
- Numeric values outside the allowed range (-1e12 to 1e12) may be flagged in the quality audit
- Empty rows array (minItems:1 not met) returns a validation error
- Payment failure via x402 protocol results in no reports being returned

## How this service works

Business event participation — Record quality audit + String normalisation + Category frequencies: Record quality audit + String normalisation + 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

Returns three separate analytical reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, or malformed dates across all rows; (2) normalised string representations for the company_group and other string fields; (3) a frequency table showing how often each category (company_group) appears in the dataset, covering up to 200 input rows.

## 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-analytics-record-audit-88166a3d/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)