# Business Event Participation — Record Quality Audit + String Normalisation + Daily Sum Series

> Business Event Participation — Record Quality Audit + String Normalisation + Daily Sum Series 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, normalises strings, and computes daily sum time series for up to 200 business event participation records covering attendee and company counts.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-19-198?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-string-f59992a3
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_2yP_HgB27CChGsfG1orsk

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-f59992a3 -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and daily sum series on my business event participation data? I have rows with attendee_count and company_count fields — I want to analyse attendee_count across up to 200 rows.

## When to prefer this

Choose this endpoint when you need three combined analytical reports — quality audit, string normalisation, and daily sum aggregation — on business event participation data in a single cost-efficient call ($0.01 USDC for all three). It is ideal for data pipeline validation steps, pre-reporting data cleaning, and time series construction from raw event attendance records with up to 200 rows. Prefer this over separate tools when your data is already available locally and you need no external enrichment, prediction, or live data.

## Known failure modes

- Rows array exceeds 200 items — request rejected
- Missing required fields (row_id, date, company_group) on any row — validation error
- Date values not matching YYYY-MM-DD pattern — schema rejection
- Numeric values outside ±1,000,000,000,000 range — schema rejection
- Empty rows array (minItems:1 violated) — request rejected
- Invalid field enum value (must be attendee_count or company_count) — schema error

## How this service works

Business event participation — Record quality audit + String normalisation + Daily sum series: Record quality audit + String normalisation + Daily sum series 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 returned together: (1) a record quality audit flagging issues such as nulls, out-of-range values, and duplicates in the supplied rows; (2) a string normalisation report cleaning company_group and other text fields; and (3) a daily sum time series aggregating the chosen field (attendee_count or company_count) by date across all supplied rows. All computed locally from the submitted data 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-record-quality-audit-string-f59992a3/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)