# Tutorial Completion Data — Record Quality Audit + Exact Row Deduplication + Grouped Numeric Summary

> Tutorial Completion Data — Record Quality Audit + Exact Row Deduplication + Grouped Numeric Summary is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).

Runs three analytical reports on tutorial completion records: a data quality audit, exact duplicate row removal, and a grouped numeric summary by game area.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-20-211?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-24
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/tutorial-completion-data-record-quality-audit-exact-row-deduplication-6406589b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_f1mqHz8kGa4MZOGWPU4NG

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-data-record-quality-audit-exact-row-deduplication-6406589b -d '<json body>'
```

Example prompt: Can you run a full data quality audit, remove any exact duplicate rows, and give me a grouped numeric summary of starts and completions across game areas for these tutorial records? I have up to 50 rows with fields: row_id, game_area, date, starts, and completions — I want to analyze the 'starts' field for the summary.

## When to prefer this

Choose this endpoint when you need three combined analytical reports — quality audit, deduplication, and grouped summary — on tutorial completion data in a single low-cost call. It is ideal for small-to-medium datasets (up to 200 rows) where all analysis can be done on supplied data without external lookups. Prefer this over separate single-purpose endpoints when you need the full data-cleaning and summarization pipeline in one step for tutorial funnel metrics.

## Known failure modes

- Input array is empty (minItems:1 violated) — returns validation error
- More than 200 rows submitted — request rejected with schema violation
- Missing required fields (row_id, game_area, date, starts, completions) on any row — validation error
- Invalid date format (not YYYY-MM-DD) — schema pattern mismatch error
- Numeric values out of range (beyond ±1,000,000,000,000) — validation error
- Invalid field enum value (not 'starts' or 'completions') — request rejected

## How this service works

Tutorial completion — Record quality audit + Exact row deduplication + Grouped numeric summary: Record quality audit + Exact row deduplication + Grouped numeric summary for supplied tutorial completion records (starts, completions). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Returns three independent reports: (1) a record quality audit flagging missing, null, or malformed values per row; (2) an exact row deduplication report identifying and removing fully identical rows; (3) a grouped numeric summary aggregating the selected field (starts or completions) across game_area groups. All analysis is performed locally on the supplied data without 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-data-record-quality-audit-exact-row-deduplication-6406589b/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)