# Training Compliance Numeric Distribution & IQR Outlier Flags

> Training Compliance Numeric Distribution & IQR Outlier Flags 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).

Computes numeric distribution statistics and flags IQR-based outliers for training compliance records (completed_courses, assigned_courses) across up to 200 rows, producing 2 analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-10-080?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-numeric-distribution-iqr-outlier-flags-00a29adf
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ukjG-I2cFLG_zaowTGwBE

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-iqr-outlier-flags-00a29adf -d '<json body>'
```

Example prompt: Analyze this batch of training compliance records for our teams — I want to see the numeric distribution and any IQR outlier flags for the completed_courses field. Here are up to 200 rows with row_id, team_group, date, completed_courses, and assigned_courses.

## When to prefer this

Choose this endpoint when you need fast, local statistical analysis of training compliance numeric fields — specifically distribution summaries and IQR outlier detection — on batches up to 200 rows. Ideal for HR or L&D analytics pipelines that need no external data lookup, live prediction, or professional assessment, just clean statistical flagging of anomalous training records at very low cost ($0.01 USDC for 2 reports).

## Known failure modes

- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows submitted — exceeds maxItems limit
- Missing required fields (row_id, team_group, date, completed_courses, assigned_courses) in any row
- Invalid date format (must match YYYY-MM-DD pattern)
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)
- Invalid field enum value — only 'completed_courses' or 'assigned_courses' accepted
- Payment of 0.01 USDC not provided or rejected

## How this service works

Training compliance — Numeric distribution + IQR outlier flags: Numeric distribution + IQR outlier flags 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) a numeric distribution summary (e.g. min, max, mean, median, quartiles) and (2) IQR-based outlier flags identifying which rows fall outside the interquartile range, for the selected field (completed_courses or assigned_courses) across the supplied training compliance rows.

## 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/training-compliance-numeric-distribution-iqr-outlier-flags-00a29adf/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)