# Tutorial Completion — Numeric Interval Filter + Two-Measure Correlation

> Tutorial Completion — Numeric Interval Filter + 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 2026-11-04).

Filters tutorial completion records (starts, completions) by a numeric interval and computes a two-measure correlation, returning both reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-20-131?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-04
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/tutorial-completion-numeric-interval-filter-two-measure-correlation-48ca5021
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_bLblWFWjh3lmebY6ypLZa

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-interval-filter-two-measure-correlation-48ca5021 -d '<json body>'
```

Example prompt: I have tutorial data with starts and completions across different game areas — can you filter records where 'starts' is between 10 and 50, then run a correlation between starts and completions across all 4 rows I'm sending?

## When to prefer this

Choose this endpoint when you have tabular tutorial completion data (starts and completions per game area and date) and need both a numeric range filter and a Pearson/statistical correlation between the two measures in a single $0.01 call. Prefer this over general-purpose analytics tools when working with game tutorial funnel data and you want two distinct analytical outputs (filter + correlation) bundled together without external data lookups or predictions.

## Known failure modes

- Input array exceeds 200 rows — request will be rejected
- Missing required row fields (row_id, game_area, date, starts, completions) — validation error
- Date string not in YYYY-MM-DD format — schema validation failure
- Minimum value greater than maximum value — may return empty filter results or error
- All values null for selected field — correlation computation may fail or return undefined
- Payment not fulfilled — x402 payment required error before processing

## How this service works

Tutorial completion — Numeric interval filter + Two-measure correlation: Numeric interval filter + 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 reports: (1) the subset of tutorial records (up to 200 rows) where the selected field falls within the specified numeric interval, and (2) a two-measure correlation coefficient and supporting statistics between the 'starts' and 'completions' columns across the supplied dataset.

## 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"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/tutorial-completion-numeric-interval-filter-two-measure-correlation-48ca5021/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)