# Tutorial Completion Data Quality Suite — Record Audit, Deduplication & IQR Outlier Flags

> Tutorial Completion Data Quality Suite — Record Audit, Deduplication & IQR Outlier Flags 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).

Runs three independent data quality reports (record quality audit, exact row deduplication, and IQR outlier flagging) on tutorial completion data (starts and completions) for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-20-220?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-data-quality-suite-record-audit-deduplication-iqr-3274ddfc
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_FGhoRxQHABma1GruzvVj7

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-quality-suite-record-audit-deduplication-iqr-3274ddfc -d '<json body>'
```

Example prompt: Can you run a full data quality check on my tutorial completion records — audit the record quality, find exact duplicate rows, and flag any IQR outliers in the 'completions' field? Here are up to 200 rows with row_id, game_area, date, starts, and completions.

## When to prefer this

Choose this endpoint when you need a bundled, cost-effective three-in-one data quality pass specifically for tutorial completion records (starts/completions by game area and date). It is ideal for pre-analysis data hygiene, pipeline output validation, or periodic data audits where you want record quality, deduplication, and outlier detection in a single $0.01 call rather than three separate services. Best suited for datasets up to 200 rows; not suitable for live prediction, external enrichment, or datasets requiring professional statistical assessment.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, game_area, date, starts, completions) on any row — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Field enum value not 'starts' or 'completions' — invalid input
- Empty rows array (minItems: 1 not met) — request rejected
- Numeric values outside allowed range — schema validation error

## How this service works

Tutorial completion — Record quality audit + Exact row deduplication + IQR outlier flags: Record quality audit + Exact row deduplication + IQR outlier flags 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

Three independent analytical reports: (1) a record quality audit highlighting missing, malformed, or invalid field values; (2) an exact row deduplication report identifying duplicate records; and (3) IQR outlier flags on the selected numeric field ('starts' or 'completions'), identifying rows whose values fall outside the interquartile range bounds. All analysis is performed locally on 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-data-quality-suite-record-audit-deduplication-iqr-3274ddfc/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)