# Training Compliance Numeric Distribution and Missing-Value Fill

> Training Compliance Numeric Distribution and 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 2026-10-25).

Computes numeric distribution statistics and fills missing values for training compliance records (completed_courses, assigned_courses) across up to 200 rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-10-085?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-25
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/training-compliance-numeric-distribution-and-missing-value-fill-b6611083
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_8KYdlu3eMVd0zxvn5ytST

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-numeric-distribution-and-missing-value-fill-b6611083 -d '<json body>'
```

Example prompt: Analyze my training compliance records — here are 4 rows with team groups A and B, dates from 2026-10-01 to 2026-10-04, and completed_courses values — give me a numeric distribution report and fill any missing completed_courses values using median imputation.

## When to prefer this

Choose this endpoint when you need both a numeric distribution summary and missing-value imputation for training compliance data (completed_courses or assigned_courses) in a single cheap call ($0.01 USDC). Ideal for HR analytics pipelines that need to clean and characterize training datasets of up to 200 rows without external data dependencies. Not suitable for live data lookup, predictions, or datasets exceeding 200 rows.

## Known failure modes

- Rows array exceeds 200 items — request rejected
- Missing required fields (row_id, team_group, date, completed_courses, assigned_courses) cause validation errors
- Invalid date format (non-YYYY-MM-DD) fails pattern validation
- Numeric values outside allowed range (-1T to +1T) rejected
- Invalid method enum value (not zero/mean/median) causes error
- Empty rows array rejected (minItems: 1)
- Payment of 0.01 USDC not settled — request not processed

## How this service works

Training compliance — Numeric distribution + Explicit missing-value fill: Numeric distribution + 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

Two analytical reports: (1) a numeric distribution summary (e.g., min, max, mean, median, std dev, percentiles) for the specified field across supplied rows, and (2) an explicit missing-value fill report showing which rows had nulls and what values were substituted using the chosen method (zero, mean, or median). Results are computed locally from supplied data only — 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-numeric-distribution-and-missing-value-fill-b6611083/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)