# Tutorial Completion Data Quality Audit: Record Quality, String Normalisation & Duplicate Key Report

> Tutorial Completion Data Quality Audit: Record Quality, String Normalisation & Duplicate Key Report 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).

Runs three independent data-quality reports (record quality audit, string normalisation, and duplicate key detection) on up to 200 tutorial completion records (starts and completions by game area and date).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-20-192?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-data-quality-audit-record-quality-string-60898a58
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_DE2iKrh1rZVKYUlv8gwkb

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-audit-record-quality-string-60898a58 -d '<json body>'
```

Example prompt: Can you audit the quality of these tutorial completion records — I have up to 200 rows with fields like row_id, game_area, date, starts, and completions — and give me a record quality audit, string normalisation corrections, and a duplicate key report all at once?

## When to prefer this

Choose this endpoint when you need all three of record quality auditing, string normalisation, and duplicate key detection on tutorial completion data in a single call for up to 200 rows. It is ideal for pre-ingestion validation of game tutorial tracking data where you want bundled reporting at low cost ($0.01 USDC for all three reports). Prefer it over separate single-report endpoints when you need comprehensive data quality coverage in one round trip without any external lookups or live data enrichment.

## Known failure modes

- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, game_area, date, starts, completions) causes row-level rejection
- Malformed date strings not matching YYYY-MM-DD pattern are flagged or rejected
- Numeric values outside the allowed range trigger validation errors
- Empty row array returns an error due to minItems:1 constraint
- Payment of 0.01 USDC must be included; missing payment results in 402 response

## How this service works

Tutorial completion — Record quality audit + String normalisation + Duplicate key report: Record quality audit + String normalisation + Duplicate key report 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 returned together: (1) a record quality audit flagging malformed, missing, or out-of-range values; (2) a string normalisation report highlighting inconsistent or non-standard strings in text fields like game_area; and (3) a duplicate key report identifying rows sharing the same key identifiers. All analysis is performed locally 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/tutorial-completion-data-quality-audit-record-quality-string-60898a58/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)
