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Quest Pacing Record Quality Audit + Secondary-Measure Weighted Mean
x402
Quest Pacing Record Quality Audit + Secondary-Measure Weighted Mean 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 a record quality audit and a secondary-measure weighted mean analysis on up to 200 quest pacing rows (duration_minutes, objective_count), returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Quest pacing — Record quality audit + Secondary-measure weighted mean: Record quality audit + Secondary-measure weighted mean for supplied quest pacing records (duration_minutes, objective_count). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two independent analytical reports: (1) a record quality audit detailing completeness, validity, and flagged issues for each of the supplied quest pacing rows, and (2) a weighted mean calculation for the selected secondary measure (duration_minutes or objective_count) across the dataset.
Example use cases
Quest duration data quality check
“I have 80 quest pacing records with dates, game areas, duration_minutes, and objective_count — can you audit the record quality and flag any problematic rows in my dataset?”
Weighted mean of objectives across quests
“Run a weighted mean analysis on my quest pacing data using objective_count as the field — I have about 120 rows with game areas and dates spanning last month.”
Pre-launch quest balance validation
“Before we ship this patch, I need a quality audit plus a weighted mean of duration_minutes across all 60 of these quest records to make sure nothing looks off — can you do both reports at once?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-04-016?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a weighted mean statistic on quest pacing data (duration_minutes or objective_count) in a single $0.01 call for up to 200 rows. It is ideal for game designers and analysts who want to validate and summarize quest metrics offline without any live lookup, prediction, or external action. Prefer this over generic analytics tools when working specifically with quest pacing records structured around game_area, date, and the two supported numeric fields.
Side effects
- More than 200 rows submitted — request rejected due to row limit
- Missing required fields (row_id, date, game_area) in one or more rows — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Invalid field enum value (not duration_minutes or objective_count) — rejected
- Empty rows array — minimum 1 row required
- Null values in numeric fields may affect weighted mean computation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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