# Training Compliance Adjacent Row Changes + Explicit Missing-Value Fill

> Training Compliance Adjacent Row Changes + 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 2026-10-28).

Analyzes training compliance data (completed_courses, assigned_courses) to detect adjacent row changes and fill missing values using zero, mean, or median imputation — two reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-10-162?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-compliance-adjacent-row-changes-explicit-missing-value-fill-7af2409a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_2sqcsqnhpDrsldxk08T7H

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-compliance-adjacent-row-changes-explicit-missing-value-fill-7af2409a -d '<json body>'
```

Example prompt: Can you analyze these training compliance records for my team groups and flag any adjacent row changes in completed_courses, then fill any missing values using median imputation? I have about 50 rows with date, team_group, row_id, completed_courses, and assigned_courses.

## When to prefer this

Choose this endpoint when you need lightweight, local analytical processing of training compliance tabular data — specifically when you want both adjacent row change detection and explicit missing-value imputation in a single call for up to 200 rows, without needing live data, predictions, or external integrations. It is cost-effective at $0.01 per call delivering two reports simultaneously.

## Known failure modes

- More than 200 rows submitted — request rejected at maxItems limit
- Invalid date format (not YYYY-MM-DD) causes validation error
- Missing required fields (row_id, team_group, date, completed_courses, assigned_courses) causes schema rejection
- Invalid method enum value (not zero/mean/median) causes error
- Invalid field enum value (not completed_courses/assigned_courses) causes error
- Empty rows array (minItems:1 violated) causes rejection

## How this service works

Training compliance — Adjacent row changes + Explicit missing-value fill: Adjacent row changes + Explicit missing-value fill for supplied training compliance records (completed_courses, assigned_courses). 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) an adjacent row change report showing where consecutive rows differ in the selected field (completed_courses or assigned_courses), and (2) a missing-value fill report showing which null values were imputed and with what values, using the specified method (zero, mean, or median). 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",
     "team_group",
     "date",
     "completed_courses",
     "assigned_courses"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "team_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "assigned_courses": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "completed_courses": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "team_group": "group-a",
     "assigned_courses": 1,
     "completed_courses": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "team_group": "group-b",
     "assigned_courses": 2,
     "completed_courses": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "team_group": "group-a",
     "assigned_courses": 3,
     "completed_courses": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "team_group": "group-b",
     "assigned_courses": 4,
     "completed_courses": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "completed_courses",
    "assigned_courses"
   ],
   "type": "string",
   "default": "completed_courses"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/training-compliance-adjacent-row-changes-explicit-missing-value-fill-7af2409a/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)