# Business Event Participation — Daily Sum Series + Explicit Missing-Value Fill

> Business Event Participation — Daily Sum Series + Explicit Missing-Value Fill 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).

Computes daily sum time series and fills missing values (zero, mean, or median) for business event participation data (attendee_count, company_count) across up to 200 rows, returning 2 analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-19-145?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-daily-sum-series-explicit-missing-value-c16b5357
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_OdjL8Uq47j22wdWObOw_Y

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-daily-sum-series-explicit-missing-value-c16b5357 -d '<json body>'
```

Example prompt: I have up to 200 rows of business event participation records with attendee_count and company_count fields — can you compute the daily sum series for attendee_count and fill any missing values using median imputation?

## When to prefer this

Choose this endpoint when you need both daily aggregation (sum series) and missing-value imputation on business event participation data in a single call. Ideal for cleaning and summarizing structured tabular event records (up to 200 rows) without needing live data, predictions, or external lookups. Best when you need two simultaneous analytical outputs from the same dataset at low cost ($0.01 USDC).

## Known failure modes

- Input rows exceed 200 item limit — request rejected
- Missing required fields (row_id, date, company_group) cause validation error
- Invalid date format (not YYYY-MM-DD) causes parse failure
- Numeric values outside ±1,000,000,000,000 range rejected
- Empty rows array (minItems:1 not met) causes error
- Invalid enum value for field or method parameter

## How this service works

Business event participation — Daily sum series + Explicit missing-value fill: Daily sum series + Explicit missing-value fill 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 2 analytical reports: (1) a daily sum series aggregating the selected field (attendee_count or company_count) by date, and (2) a dataset with missing values explicitly filled using the chosen method (zero, mean, or median). Both reports are computed locally without 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/business-event-participation-daily-sum-series-explicit-missing-value-c16b5357/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)