# Tutorial Completion — Adjacent Row Changes + Explicit Missing-Value Fill

> Tutorial Completion — Adjacent Row Changes + 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 2026-10-26).

Analyzes tutorial completion data (starts and completions) by computing adjacent row changes and filling missing values using a chosen strategy, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-20-162?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/tutorial-completion-adjacent-row-changes-explicit-missing-value-fill-319ecbd6
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_6LFdrvJdQRWbhTbcU4GVo

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-adjacent-row-changes-explicit-missing-value-fill-319ecbd6 -d '<json body>'
```

Example prompt: I have 5 rows of tutorial completion data for two game areas over the past week — some starts values are null. Can you compute the adjacent row changes and fill the missing starts values using the median method?

## When to prefer this

Choose this endpoint when you need two specific data-cleaning and analysis operations — adjacent row delta computation and explicit null imputation — applied to tutorial or game completion records in a single call. It is ideal for small-to-medium datasets (up to 200 rows) where you want local, deterministic analytics without any external API calls, predictions, or professional assessments. Prefer it over general-purpose analytics platforms when cost certainty ($0.01 per call for two reports) and simplicity matter.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Invalid date format (must be YYYY-MM-DD) — validation error
- Unknown fill method (must be zero, mean, or median) — enum validation failure
- Missing required fields (row_id, game_area, date, starts, completions) — schema error
- Empty rows array — minimum item count not met

## How this service works

Tutorial completion — Adjacent row changes + Explicit missing-value fill: Adjacent row changes + 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) adjacent row changes showing the delta between consecutive rows for the target field, and (2) explicit missing-value fills replacing nulls in the target field using the chosen strategy (zero, mean, or median). Both reports are computed locally from the supplied rows with no external lookup.

## 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/tutorial-completion-adjacent-row-changes-explicit-missing-value-fill-319ecbd6/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)