# Tutorial Completion Data Quality Suite — Record Audit, String Normalisation & Adjacent Row Changes

> Tutorial Completion Data Quality Suite — Record Audit, String Normalisation & Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-01).

Runs three data-quality reports (record quality audit, string normalisation, and adjacent row change detection) on up to 200 tutorial completion records containing starts and completions metrics.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-20-200?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-01
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/tutorial-completion-data-quality-suite-record-audit-string-37104b6e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_2du95-jKcgORwDJy7m0Xx

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-string-37104b6e -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and adjacent row change report on my tutorial completion data — I have rows for game areas 'group-a' and 'group-b' with starts and completions from 2026-10-01 to 2026-10-04, and I want to audit the 'starts' field?

## When to prefer this

Choose this endpoint when you have tutorial completion records (with starts/completions counts per game area and date) and need three bundled data-quality reports in a single call at low cost. It is ideal for pre-analysis data hygiene on small-to-medium datasets (up to 200 rows) where you want string normalisation, record auditing, and row-change detection without setting up a local pipeline. Not suitable for real-time monitoring, prediction, or datasets exceeding 200 rows.

## Known failure modes

- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, game_area, date, starts, completions) in any row causes validation failure
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
- Invalid field enum value (not 'starts' or 'completions') causes an error
- Empty rows array (minItems: 1 not met) returns an error

## How this service works

Tutorial completion — Record quality audit + String normalisation + Adjacent row changes: Record quality audit + String normalisation + Adjacent row changes 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 analytical reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, or malformed rows; (2) a string normalisation report identifying and correcting inconsistencies in text fields like game_area; and (3) an adjacent row change report highlighting significant shifts between consecutive rows in the chosen numeric field (starts or completions). All reports are generated locally from 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-string-37104b6e/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)