# Training Attendance Missing-Value Fill

> Training 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 2026-10-28).

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

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-analytics-training-attendance-fill-missing?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-28
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/training-attendance-missing-value-fill-425b0109
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_7boKmmRRxybV4eyqAlmGn

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 training-attendance-missing-value-fill-425b0109 -d '<json body>'
```

Example prompt: I have training attendance data for October with some missing attendee counts — can you fill those nulls using the median across up to 4 rows? The courses are group-a and group-b and I want the 'attendees' field filled.

## When to prefer this

Use this endpoint when you have training attendance records with missing numeric values in attendees or completions fields and need a fast, bounded imputation step before downstream analytics, reporting, or dashboarding. It is ideal for small-to-medium batch cleanups (up to 200 rows) where you want deterministic local imputation (zero, mean, or median) without external data enrichment or forecasting.

## Known failure modes

- Input array is empty or exceeds 200 rows — validation error returned
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Unknown field name or method enum value causes bad request
- All values in the target field are null, making mean/median undefined
- row_id missing or empty string triggers required-field validation error

## How this service works

Training attendance - Explicit missing-value fill: Explicit missing-value fill for Training 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 same set of input rows with null or missing values in the specified field (attendees or completions) replaced by the chosen imputation method (zero, mean, or median), preserving all other fields and row identifiers.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/training-attendance-missing-value-fill-425b0109/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)