# Tutorial Completion Analytics — Grouped Numeric Summary + Trailing Mean Series

> Tutorial Completion Analytics — Grouped Numeric Summary + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).

Computes a grouped numeric summary and a trailing mean time series for tutorial completion data (starts and completions) across game areas, processing up to 200 rows in two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-20-090?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-24
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/tutorial-completion-analytics-grouped-numeric-summary-trailing-mean-e5137f2f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_VVrJ_KfnwaohGbNfLibSZ

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-grouped-numeric-summary-trailing-mean-e5137f2f -d '<json body>'
```

Example prompt: I have tutorial completion data for two game areas across 4 days — can you group the completions by game area and also compute a trailing mean series with a window of 2 for the completions field? Here are my rows: row-1 (2026-10-01, group-a, starts=10, completions=1), row-2 (2026-10-02, group-b, starts=20, completions=2), row-3 (2026-10-03, group-a, starts=15, completions=3), row-4 (2026-10-04, group-b, starts=30, completions=4).

## When to prefer this

Choose this endpoint when you have tabular tutorial completion data (starts and completions) segmented by game area and date, and you need both a grouped statistical summary AND a rolling mean time series in a single call for up to 200 rows. It is ideal for lightweight, self-contained analytics on supplied data without requiring any external database, live data fetch, or prediction service. At $0.01 per call for two reports, it is cost-effective for routine funnel reporting or dashboard data prep tasks.

## 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, game_area, date, starts, completions) on any row
- Window size less than 2 or greater than 200 — invalid window parameter
- Invalid field value — must be either 'starts' or 'completions'
- Null numeric values may affect aggregation accuracy depending on implementation

## How this service works

Tutorial completion — Grouped numeric summary + Trailing mean series: Grouped numeric summary + Trailing mean series 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 independent analytical reports: (1) a grouped numeric summary of starts or completions aggregated by game_area, including descriptive statistics per group; and (2) a trailing (rolling) mean time series for the chosen field (starts or completions) computed over the specified window size across the ordered date rows. Both reports are derived entirely 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/tutorial-completion-analytics-grouped-numeric-summary-trailing-mean-e5137f2f/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)