# Level Checkpoints Data Quality & Ordering Analyzer

> Level Checkpoints Data Quality & Ordering Analyzer is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).

Audits record quality, normalizes strings, and orders rows numerically for game level checkpoint data (completions and retries) across up to 200 rows, returning 3 independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-03-196?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-30
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/level-checkpoints-data-quality-ordering-analyzer-d2f58f29
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_4xG6kRIzJjQ1cOOyigvLz

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 level-checkpoints-data-quality-ordering-analyzer-d2f58f29 -d '<json body>'
```

Example prompt: Can you run a quality audit, string normalization, and numeric row ordering on my level checkpoint data — I have rows with game_area, date, completions, and retries fields (up to 50 rows) and want the analysis sorted by completions?

## When to prefer this

Choose this endpoint when you have game-level checkpoint data (completions and retries) and need three bundled analytical operations — quality audit, string normalization, and numeric ordering — in a single cheap call ($0.01 USDC). Ideal for pre-processing pipeline steps before deeper analysis, or for validating exported checkpoint logs. Not suitable if you need live data fetching, predictive modeling, or analysis of non-game datasets.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, game_area, date, completions, retries) cause row-level validation errors
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) are rejected
- Empty rows array (minItems: 1 not satisfied) causes request failure
- Invalid field enum value (not 'completions' or 'retries') causes field selector error

## How this service works

Level checkpoints — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied level checkpoints records (completions, retries). 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 3 independent reports: (1) a record quality audit flagging missing, null, or out-of-range values across the checkpoint rows; (2) a string normalization report standardizing game_area and other text fields; and (3) a numeric row ordering report ranking rows by the selected field (completions or retries). 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",
     "completions",
     "retries"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "retries": {
      "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",
     "retries": 1,
     "game_area": "group-a",
     "completions": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "retries": 2,
     "game_area": "group-b",
     "completions": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "retries": 3,
     "game_area": "group-a",
     "completions": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "retries": 4,
     "game_area": "group-b",
     "completions": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "completions",
    "retries"
   ],
   "type": "string",
   "default": "completions"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/level-checkpoints-data-quality-ordering-analyzer-d2f58f29/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)