# Tutorial Completion Analytics — Numeric Distribution + Adjacent Row Changes

> Tutorial Completion Analytics — Numeric Distribution + Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).

Analyzes tutorial completion data (starts and completions) to produce a numeric distribution report and an adjacent-row-change report for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-20-077?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-02
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/tutorial-completion-analytics-numeric-distribution-adjacent-row-changes-28d7b5a7
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_zpqhlTo9GgphVZaZ3BRi_

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 tutorial-completion-analytics-numeric-distribution-adjacent-row-changes-28d7b5a7 -d '<json body>'
```

Example prompt: Can you run a numeric distribution and adjacent-row-change analysis on my tutorial starts data? Here are 4 records: row-1 on 2026-10-01 in group-a had 10 starts and 1 completion, row-2 on 2026-10-02 in group-b had 20 starts and 2 completions, row-3 on 2026-10-03 in group-a had 15 starts and 3 completions, row-4 on 2026-10-04 in group-b had 30 starts and 4 completions — analyze the 'starts' field.

## When to prefer this

Choose this endpoint when you have tabular tutorial completion records (starts and completions) and need both a statistical distribution overview and a row-to-row change analysis in a single call. It is ideal for game analytics workflows where you want to understand the spread of engagement metrics and detect consecutive-row shifts without setting up your own analytical pipeline. Best suited for datasets of up to 200 rows processed locally with no external data dependencies.

## Known failure modes

- Rows array is empty or missing — validation error
- More than 200 rows supplied — rejected with maxItems error
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Field value not in enum ['starts','completions'] — rejected
- Null values in starts or completions may affect distribution calculations
- Missing required fields (row_id, game_area, date, starts, completions) — schema validation error

## How this service works

Tutorial completion — Numeric distribution + Adjacent row changes: Numeric distribution + Adjacent row changes for supplied tutorial completion records (starts, completions). 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 of the selected field (starts or completions) across all supplied rows, and (2) an adjacent-row-change report showing the difference between consecutive rows for the selected field. Both reports are generated 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",
     "game_area",
     "date",
     "starts",
     "completions"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "starts": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "game_area": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "completions": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "starts": 10,
     "game_area": "group-a",
     "completions": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "starts": 20,
     "game_area": "group-b",
     "completions": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "starts": 15,
     "game_area": "group-a",
     "completions": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "starts": 30,
     "game_area": "group-b",
     "completions": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "starts",
    "completions"
   ],
   "type": "string",
   "default": "starts"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/tutorial-completion-analytics-numeric-distribution-adjacent-row-changes-28d7b5a7/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)