# Business Event Participation — String Normalisation + Two-Measure Correlation

> Business Event Participation — String Normalisation + Two-Measure Correlation 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).

Normalises string fields and computes a two-measure correlation between attendee_count and company_count across up to 200 business event participation rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-19-033?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-string-normalisation-two-measure-06e39840
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_nWEQubO3j1RBlAHxBJUy5

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-string-normalisation-two-measure-06e39840 -d '<json body>'
```

Example prompt: Can you run string normalisation and a two-measure correlation on my business event participation data? I have 4 rows with company groups like 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, attendee counts of 10, 20, 15, and 30, and company counts of 1, 2, 3, and 4 — I want two reports back showing how attendee count and company count relate.

## When to prefer this

Choose this endpoint when you have tabular business event participation data with exactly two numeric measures (attendee_count and company_count) and need both string normalisation of categorical fields and a statistical correlation between those two measures in a single API call. It is best suited for offline/batch analysis of up to 200 rows with no need for live data, predictions, or external enrichment. Prefer alternatives if you need more than two measures correlated, more than 200 rows processed, or real-time event data integration.

## Known failure modes

- Exceeding 200 rows causes a validation error; trim input to 200 rows or fewer
- Missing required fields (row_id, company_group, date, attendee_count, company_count) results in schema validation failure
- Dates not matching YYYY-MM-DD pattern are rejected
- Null values in both numeric measures may produce undefined or null correlation output
- Sending fewer than 1 row fails minItems constraint
- Extreme numeric values (beyond ±1,000,000,000,000) are rejected

## How this service works

Business event participation — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation for supplied business event participation records (attendee_count, company_count). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.

## Output

Returns two independent analytical reports: (1) string-normalised versions of the input text fields (such as company_group), and (2) a two-measure correlation result quantifying the statistical relationship between attendee_count and company_count across the supplied rows. No external lookups or predictions are made; all computation uses local analytical engines on the supplied data.

## 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-string-normalisation-two-measure-06e39840/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)