# Business Event Participation — String Normalisation + Adjacent Row Changes

> Business Event Participation — String Normalisation + Adjacent Row Changes 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).

Normalises company_group strings and detects adjacent row changes in attendee_count or company_count for business event participation data (up to 200 rows, 2 reports per call).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-19-029?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-string-normalisation-adjacent-row-changes-7a494445
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_D92zvDtGnj-pOYyMjF9eI

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-adjacent-row-changes-7a494445 -d '<json body>'
```

Example prompt: Can you run string normalisation on the company group names and detect adjacent row changes in attendee_count for my event data? I have 4 rows: row-1 on 2026-10-01, group-a, 10 attendees, 1 company; row-2 on 2026-10-02, group-b, 20 attendees, 2 companies; row-3 on 2026-10-03, group-a, 15 attendees, 3 companies; row-4 on 2026-10-04, group-b, 30 attendees, 4 companies.

## When to prefer this

Choose this endpoint when you have tabular business event participation data (up to 200 rows) and need both string normalisation on company group labels AND sequential/adjacent row change detection on a numeric participation metric in a single low-cost call. It is ideal for post-event data cleaning pipelines, attendance trend QA, and lightweight analytical preprocessing where no external data lookup or prediction is needed.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, company_group, date, attendee_count, company_count) causes schema rejection
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Numeric values outside ±1,000,000,000,000 are rejected
- Submitting fewer than 1 row fails minItems constraint
- Invalid field enum value (anything other than attendee_count or company_count) causes rejection

## How this service works

Business event participation — String normalisation + Adjacent row changes: String normalisation + Adjacent row changes 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 structured reports per call: (1) a string normalisation report for the company_group field across all supplied rows, and (2) an adjacent row changes report for the selected numeric field (attendee_count or company_count), covering sequential differences between consecutive rows — all computed 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/business-event-participation-string-normalisation-adjacent-row-changes-7a494445/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)