# Quest Pacing Analyzer — Record Quality Audit + String Normalisation + Adjacent Row Changes

> Quest Pacing Analyzer — Record Quality 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 2026-11-02).

Runs three offline analytical reports (record quality audit, string normalisation, and adjacent row changes) on up to 200 quest pacing records containing duration_minutes and objective_count fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-04-200?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/quest-pacing-analyzer-record-quality-audit-string-normalisation-361c3498
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_HuNsEzaQ63vVB13ZBRF3l

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 quest-pacing-analyzer-record-quality-audit-string-normalisation-361c3498 -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and adjacent row changes analysis on my quest pacing data? I have rows like: row-1 for group-a on 2026-10-01 with 10 duration_minutes and 1 objective_count — analyze the duration_minutes field across all my rows.

## When to prefer this

Choose this endpoint when you need three combined offline data-quality reports (audit + string normalisation + adjacent row changes) on a small-to-medium quest pacing dataset (up to 200 rows) in a single $0.01 call, without requiring real-time lookups, predictions, or external integrations. It is especially useful for game developers or analysts validating quest design data before ingestion or reporting.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, game_area, date, duration_minutes, objective_count) causes rejection
- Invalid date format (non-YYYY-MM-DD) triggers schema validation failure
- Invalid field enum value (not duration_minutes or objective_count) returns error
- Empty rows array is rejected
- Payment not included or insufficient USDC causes 402 response

## How this service works

Quest pacing — Record quality audit + String normalisation + Adjacent row changes: Record quality audit + String normalisation + Adjacent row changes for supplied quest pacing records (duration_minutes, objective_count). 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 separate analytical reports covering: (1) a record quality audit flagging nulls, out-of-range values, and structural issues in the quest pacing rows; (2) a string normalisation report identifying and standardising inconsistent text values in game_area and other string fields; (3) an adjacent row changes report highlighting row-to-row differences in the selected numeric field (duration_minutes or objective_count). All computed 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",
     "duration_minutes",
     "objective_count"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "game_area": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "objective_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "duration_minutes": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "game_area": "group-a",
     "objective_count": 1,
     "duration_minutes": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "game_area": "group-b",
     "objective_count": 2,
     "duration_minutes": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "game_area": "group-a",
     "objective_count": 3,
     "duration_minutes": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "game_area": "group-b",
     "objective_count": 4,
     "duration_minutes": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "duration_minutes",
    "objective_count"
   ],
   "type": "string",
   "default": "duration_minutes"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/quest-pacing-analyzer-record-quality-audit-string-normalisation-361c3498/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)