# Business Event Participation — Record Quality Audit, String Normalisation & Numeric Interval Filter

> Business Event Participation — Record Quality Audit, String Normalisation & Numeric Interval Filter 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).

Audits data quality, normalises strings, and filters by numeric interval for business event participation records (attendee_count, company_count) across up to 200 rows, producing 3 independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-19-197?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-record-quality-audit-string-196aae28
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_slMMBsVNANYh4Bk-y4HOW

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-string-196aae28 -d '<json body>'
```

Example prompt: Can you audit the quality of my business event participation records, normalise the company_group strings, and filter rows where attendee_count falls between 5 and 150? I have 4 rows: row-1 (2026-10-01, group-a, attendee_count=10, company_count=1), row-2 (2026-10-02, group-b, attendee_count=20, company_count=2), row-3 (2026-10-03, group-a, attendee_count=15, company_count=3), row-4 (2026-10-04, group-b, attendee_count=30, company_count=4).

## When to prefer this

Use this endpoint when you need three bundled analytical operations on business event participation data in a single cost-effective call: data quality auditing, string normalisation, and numeric interval filtering. It is ideal for preprocessing event attendance datasets (up to 200 rows) before downstream reporting or storage, and when no external data sources, predictions, or live lookups are needed — only local analytical processing of supplied records.

## Known failure modes

- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, company_group, date, attendee_count, company_count) causes row-level rejection
- Invalid date format (not YYYY-MM-DD) fails pattern validation
- Numeric values outside ±1,000,000,000,000 are rejected
- Minimum greater than maximum may produce empty interval filter results
- Empty rows array is rejected (minItems: 1)

## How this service works

Business event participation — Record quality audit + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter 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 3 independent analytical reports for the submitted rows: (1) a record quality audit highlighting data completeness and integrity issues, (2) a string normalisation report for the company_group field, and (3) a numeric interval filter report identifying rows where the selected numeric field (attendee_count or company_count) falls within the specified minimum–maximum range. 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"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/business-event-participation-record-quality-audit-string-196aae28/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)