# Training Assessments — Numeric Distribution + Category Frequencies

> Training Assessments — Numeric Distribution + Category Frequencies is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).

Computes numeric distribution statistics and category frequency counts for pre_score and post_score fields across up to 200 training assessment records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-education-11-072?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/training-assessments-numeric-distribution-category-frequencies-f2fc42e2
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_zjOkuQaLtb7vbV_zUIvvd

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-assessments-numeric-distribution-category-frequencies-f2fc42e2 -d '<json body>'
```

Example prompt: Can you analyze the distribution of pre_score for these 4 training assessment records and also give me a frequency breakdown by course_group? Rows: row-1 on 2026-10-01 with pre_score 10, post_score 1, group-a; row-2 on 2026-10-02 with pre_score 20, post_score 2, group-b; row-3 on 2026-10-03 with pre_score 15, post_score 3, group-a; row-4 on 2026-10-04 with pre_score 30, post_score 4, group-b.

## When to prefer this

Choose this endpoint when you have structured training assessment data (up to 200 rows) and need both a numeric distribution summary and category frequency counts in a single low-cost call ($0.01 USDC). It is ideal for offline/batch analytics on supplied data rather than live lookups or real-time prediction — best when you already have the rows and want descriptive statistics on score fields alongside group frequency breakdowns without setting up your own analytical pipeline.

## Known failure modes

- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows submitted — maxItems limit exceeded
- Invalid date format — must match YYYY-MM-DD pattern
- Missing required fields (row_id, course_group, date, pre_score, post_score) in any row
- Invalid field enum value — must be 'pre_score' or 'post_score'
- Scores outside allowed numeric range (±1,000,000,000,000)
- row_id or course_group string exceeds 80 character limit

## How this service works

Training assessments — Numeric distribution + Category frequencies: Numeric distribution + Category frequencies for supplied training assessments records (pre_score, post_score). 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 independent analytical reports: (1) a numeric distribution summary (e.g. min, max, mean, median, percentiles, std dev) for the selected score field (pre_score or post_score), and (2) a category frequency count broken down by course_group — all computed locally on the supplied data, up to 200 rows.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/training-assessments-numeric-distribution-category-frequencies-f2fc42e2/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)