# Tutorial Completion — Numeric Row Ordering + Two-Measure Correlation

> Tutorial Completion — Numeric Row Ordering + 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 2026-10-30).

Analyzes tutorial completion records (starts and completions) by ordering rows numerically and computing correlation between two measures, returning two independent analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-20-120?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-30
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/tutorial-completion-numeric-row-ordering-two-measure-correlation-0660a386
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_AgCvWU3a30xROlhZCSdsk

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-numeric-row-ordering-two-measure-correlation-0660a386 -d '<json body>'
```

Example prompt: I have tutorial completion data for our game areas — can you rank the rows by starts and also show me the correlation between starts and completions across all entries? Here are the records: row-1 (group-a, 2026-10-01, starts: 10, completions: 1), row-2 (group-b, 2026-10-02, starts: 20, completions: 2), row-3 (group-a, 2026-10-03, starts: 15, completions: 3), row-4 (group-b, 2026-10-04, starts: 30, completions: 4), and sort by starts.

## When to prefer this

Choose this endpoint when you have tutorial or game completion records with starts and completions columns and need both a numerically ordered ranking of rows and a statistical correlation between the two measures in a single low-cost call. Ideal for small-to-medium datasets (up to 200 rows) where no external data enrichment, prediction, or live lookup is needed — just local analytical computation on supplied data.

## Known failure modes

- Exceeding 200 rows returns an error or truncated result
- Missing required fields (row_id, game_area, date, starts, completions) cause validation failure
- Invalid date format (non YYYY-MM-DD) triggers schema rejection
- Null values in starts or completions may affect correlation calculation
- Providing fewer than 2 rows may make correlation undefined
- Invalid field enum value (not 'starts' or 'completions') causes request rejection

## How this service works

Tutorial completion — Numeric row ordering + Two-measure correlation: Numeric row ordering + 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 independent analytical reports: (1) the input rows reordered numerically by the specified field (starts or completions), and (2) a two-measure correlation analysis between starts and completions across all supplied rows. Both reports are computed 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-numeric-row-ordering-two-measure-correlation-0660a386/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)