# Business Event Participation — Numeric Interval Filter + Adjacent Row Changes

> Business Event Participation — Numeric Interval Filter + 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 2026-10-20).

Filters business event participation rows by a numeric interval and computes adjacent row changes for attendee_count or company_count fields, producing two analytical reports from supplied data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-19-127?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-numeric-interval-filter-adjacent-row-1fe893e9
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_UaBCabfuRC9PDcr_tpUcD

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-numeric-interval-filter-adjacent-row-1fe893e9 -d '<json body>'
```

Example prompt: I have a list of business event participation records with attendee counts and company counts — can you filter the rows where attendee_count is between 5 and 50, and also show me the adjacent row changes for attendee_count? Here are my rows: row-1 on 2026-10-01 group-a attendee 10 company 1, row-2 on 2026-10-02 group-b attendee 20 company 2, row-3 on 2026-10-03 group-a attendee 15 company 3.

## When to prefer this

Choose this endpoint when you have up to 200 business event participation records and need both a numeric range filter and adjacent row change analysis in a single API call at low cost ($0.01 USDC for both reports). Ideal when data is already available locally and no live lookup, prediction, or external enrichment is needed. Prefer this over general analytics tools when working specifically with attendee_count and company_count event metrics.

## Known failure modes

- Input array is empty or missing required fields (row_id, company_group, date, attendee_count, company_count)
- More than 200 rows submitted — request rejected or truncated
- minimum is greater than maximum — filter returns no results
- Date strings not matching YYYY-MM-DD pattern cause validation errors
- Field value not one of the allowed enum values (attendee_count, company_count)
- Numeric values outside the allowed range (-1,000,000,000,000 to 1,000,000,000,000)

## How this service works

Business event participation — Numeric interval filter + Adjacent row changes: Numeric interval filter + 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 analytical reports: (1) rows from the supplied dataset where the selected numeric field (attendee_count or company_count) falls within the specified minimum–maximum interval, and (2) row-over-row (adjacent) changes for that same field, showing the delta between consecutive records. 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
  },
  "field": {
   "enum": [
    "attendee_count",
    "company_count"
   ],
   "type": "string",
   "default": "attendee_count"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/business-event-participation-numeric-interval-filter-adjacent-row-1fe893e9/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)