# Tutorial Completion — Equal-Width Histogram + Explicit Missing-Value Fill

> Tutorial Completion — Equal-Width Histogram + Explicit Missing-Value Fill 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 records by generating an equal-width histogram and filling missing numeric values using a specified method (zero, mean, or median).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-20-175?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-equal-width-histogram-explicit-missing-value-fill-c57d48d3
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap__lxxjL7GQEx2A4iNY8UXC

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-equal-width-histogram-explicit-missing-value-fill-c57d48d3 -d '<json body>'
```

Example prompt: I have 120 rows of tutorial completion records with starts and completions by game area and date — can you generate an equal-width histogram with 10 bins for the completions field and fill any missing values using the median?

## When to prefer this

Choose this endpoint when you have tutorial completion data (up to 200 rows) with potential missing values and need both a frequency histogram and imputed nulls in a single low-cost call. It is ideal for game analytics pipelines where you want to understand the distribution of starts or completions across equal-width bins while simultaneously cleaning the dataset. Prefer this over generic data tools when your data schema matches game_area/date/starts/completions and you want two bundled analytical outputs for $0.01 USDC.

## Known failure modes

- More than 200 rows submitted — request rejected
- Invalid date format not matching YYYY-MM-DD pattern — validation error
- bins value outside 1–30 range — rejected
- Missing required row fields (row_id, game_area, date, starts, completions) — schema validation error
- All values in field are null — histogram or mean/median computation may fail or return degenerate result
- Invalid method or field enum value — rejected

## How this service works

Tutorial completion — Equal-width histogram + Explicit missing-value fill: Equal-width histogram + Explicit missing-value fill 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) an equal-width histogram of the chosen numeric field (starts or completions) across the specified number of bins, showing bin boundaries and frequencies; and (2) the dataset with missing values in that field explicitly filled using the selected method (zero, mean, or median). Both reports are computed locally from the supplied rows with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "bins": {
   "type": "integer",
   "default": 5,
   "maximum": 30,
   "minimum": 1
  },
  "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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/tutorial-completion-equal-width-histogram-explicit-missing-value-fill-c57d48d3/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)