# Business Event Participation — Record Quality Audit + String Normalisation + Base-100 Series

> Business Event Participation — Record Quality Audit + String Normalisation + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).

Runs three local analytical reports (record quality audit, string normalisation, and base-100 index series) on up to 200 rows of business event participation data containing attendee and company counts.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-19-201?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-3e6867d1
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_3XU2PkvtZJxeZ6Ju0m7bj

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-3e6867d1 -d '<json body>'
```

Example prompt: Can you run the record quality audit, string normalisation, and base-100 index series on my event participation data? I have 4 rows — group-a and group-b events from October 2026 with attendee counts of 10, 20, 15, and 30 — and I want to index on attendee_count starting from row index 0.

## When to prefer this

Choose this endpoint when you have up to 200 rows of business event participation data and need all three of quality auditing, string normalisation, and base-100 series indexing in a single cheap call ($0.01 USDC). It is ideal for pre-analysis data cleaning pipelines, batch QA checks on event attendance datasets, and producing comparable indexed series without any external API dependency or live lookup. It is not appropriate for datasets exceeding 200 rows, real-time prediction, or live data enrichment.

## Known failure modes

- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, company_group, date, attendee_count, company_count) cause row-level rejection
- Malformed date strings not matching YYYY-MM-DD pattern are flagged or rejected
- base_index out of range (>= number of rows submitted) causes index computation failure
- Numeric values outside ±1,000,000,000,000 boundary are rejected by schema validation
- Empty rows array (minItems:1 violated) returns a schema validation error

## How this service works

Business event participation — Record quality audit + String normalisation + Base-100 series: Record quality audit + String normalisation + Base-100 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

Returns three independent reports for the submitted rows: (1) a record quality audit flagging issues such as nulls, out-of-range values, and malformed fields; (2) a string normalisation report cleaning company_group and other string fields; and (3) a base-100 index series for the selected numeric field (attendee_count or company_count) anchored to the specified base row index. All processing is local 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/business-event-participation-record-quality-audit-string-3e6867d1/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)