# Business Event Participation — Category Frequencies + Two-Measure Correlation

> Business Event Participation — Category Frequencies + 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).

Analyzes business event participation records to produce category frequency counts and Pearson/rank correlation between attendee_count and company_count across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-19-108?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-category-frequencies-two-measure-32854f9b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_YNCrlGXdfBRq_zHzFoyAI

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-category-frequencies-two-measure-32854f9b -d '<json body>'
```

Example prompt: I have event participation records with attendee counts and company counts for groups like 'group-a' and 'group-b' across about 50 rows — can you run a category frequency breakdown by company group and also compute the correlation between attendee_count and company_count for me?

## When to prefer this

Choose this endpoint when you have structured business event participation records (with company groups, attendee counts, and company counts) and need both a category frequency breakdown and a correlation analysis between two numeric measures in a single low-cost call. It is ideal for small-to-medium datasets (up to 200 rows) where you want offline statistical computation without sending data to an external prediction or ML service. Not suitable for real-time lookups, forecasting, or datasets larger than 200 rows.

## Known failure modes

- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, company_group, date, attendee_count, company_count) cause validation errors
- Null values in attendee_count or company_count may reduce correlation sample size
- Date strings not matching YYYY-MM-DD pattern fail schema validation
- Fewer than 2 non-null paired values may make correlation undefined or return NaN
- Empty rows array returns an error

## How this service works

Business event participation — Category frequencies + Two-measure correlation: Category frequencies + 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) a category frequency table showing how many times each company_group value appears in the supplied rows, and (2) a two-measure correlation result quantifying the statistical relationship between attendee_count and company_count across the dataset. Both reports are computed locally from the supplied 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/business-event-participation-category-frequencies-two-measure-32854f9b/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)