# Tutorial Completion Analytics — Trailing Mean Series + Two-Measure Correlation

> Tutorial Completion Analytics — Trailing Mean Series + Two-Measure Correlation 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).

Computes a trailing mean time series and a two-measure correlation analysis on tutorial completion data (starts and completions) for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-20-150?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-trailing-mean-series-two-measure-80305cc4
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_gCfgp9UwjlMS8mqAApzQC

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-trailing-mean-series-two-measure-80305cc4 -d '<json body>'
```

Example prompt: Can you run a trailing mean series with a window of 7 and a two-measure correlation on my tutorial data — I have rows with game_area, date, starts, and completions fields for groups A and B across the past month, and I want to smooth the 'starts' field?

## When to prefer this

Choose this endpoint when you have tutorial completion data (starts and completions) segmented by game area and date, and need both a smoothed time series (trailing mean) and a correlation analysis in a single cheap call ($0.01 USDC for both reports). Ideal for game analytics workflows where no external data enrichment or prediction is needed — purely local statistical computation on your supplied rows.

## Known failure modes

- Fewer than 1 row supplied — minimum input requirement not met
- More than 200 rows submitted — exceeds maximum row limit
- Missing required row fields (row_id, game_area, date, starts, completions)
- Invalid date format (must be YYYY-MM-DD)
- Window size outside allowed range of 2–200
- Numeric values outside allowed magnitude bounds
- Payment not completed — x402 payment required before response is returned

## How this service works

Tutorial completion — Trailing mean series + Two-measure correlation: Trailing mean series + Two-measure correlation 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 trailing mean time series for the specified field (starts or completions) computed over the chosen window size, and (2) a two-measure correlation analysis between starts and completions — both derived locally from the supplied rows 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-trailing-mean-series-two-measure-80305cc4/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)