# Event Attendance Missing-Value Fill

> Event Attendance 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 2026-10-19).

Fills missing numeric values in event attendance records (registrations or attendees) using zero, mean, or median imputation across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-analytics-event-attendance-fill-missing?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/event-attendance-missing-value-fill-d7dc6a51
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_zdXqPJ1_Q-PKBBfygYcRm

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 event-attendance-missing-value-fill-d7dc6a51 -d '<json body>'
```

Example prompt: I have a batch of event attendance records with some null attendees values — can you fill those missing values using the median of the non-null rows? Here are up to 50 records with row_id, event_type, date, registrations, and attendees fields.

## When to prefer this

Choose this endpoint when you have a bounded batch of up to 200 event attendance records with null or missing numeric values that need to be filled locally using simple statistical imputation (zero, mean, or median) — no external data sources or forecasting required. Ideal for data-cleaning steps in ETL pipelines, report preparation, or dashboard ingestion where nulls must be resolved before aggregation.

## Known failure modes

- Rows array is empty or missing — validation error
- More than 200 rows submitted — request rejected with maxItems violation
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Unknown field or method enum value — validation error
- All values for the target field are null — mean/median undefined, may return zero or error
- Row missing required fields (row_id, event_type, date) — row-level validation failure

## How this service works

Event attendance - Explicit missing-value fill: Explicit missing-value fill for Event attendance. Up to 200 supplied typed records. Local numeric and data-quality processing; no external enrichment or forecasting. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded explicit missing-value fill deliverable.

## Output

Returns the submitted event attendance records with previously null or missing values in the specified field (registrations or attendees) replaced by the chosen imputation value (zero, mean of non-null values, or median of non-null values). Output maintains the original row structure with filled numeric values ready for downstream analytics.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "event_type",
     "date",
     "registrations",
     "attendees"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "attendees": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "event_type": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "registrations": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "attendees": 1,
     "event_type": "group-a",
     "registrations": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "attendees": 2,
     "event_type": "group-b",
     "registrations": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "attendees": 3,
     "event_type": "group-a",
     "registrations": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "attendees": 4,
     "event_type": "group-b",
     "registrations": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "registrations",
    "attendees"
   ],
   "type": "string",
   "default": "registrations"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/event-attendance-missing-value-fill-d7dc6a51/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)