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Physics Scenes — Record Quality Audit + Date by Category Pivot
x402
Physics Scenes — Record Quality Audit + Date by Category Pivot 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).
Runs two analytical reports on physics scene records: a record quality audit and a date-by-category pivot, using body_count or step_ms as the metric field.
Price / call$0.01
Success—
StatusUnknown
How this service works
Physics scenes — Record quality audit + Date by category pivot: Record quality audit + Date by category pivot for supplied physics scenes records (body_count, step_ms). 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
Two analytical reports: (1) a record quality audit flagging completeness, null values, and anomalies in the supplied rows; and (2) a date-by-category pivot table summarizing the chosen numeric field (body_count or step_ms) broken down by date and game_area category. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Game physics data quality check
“I have 150 rows of physics scene records with body_count and step_ms values across different game areas and dates — can you audit them for quality issues and also give me a pivot of body_count by date and game_area?”
Step timing anomaly investigation
“Run a record quality audit and a date-by-category pivot on my step_ms data for these physics scenes across group-a and group-b game areas — I want to see both reports for the step_ms field.”
Pre-release simulation data review
“Before our release, I need to check these 80 physics scene records for data quality problems and also see a pivot table of body_count broken down by game area per date — can you do both at once?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-08-017?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a date-by-category pivot on physics scene records in a single low-cost call. It is ideal for game developers or simulation engineers who want to validate their body_count or step_ms data and explore trends by game area and date without any external API calls or live data lookups. Best suited for batch sizes up to 200 rows at $0.01 per call.
Side effects
- Fewer than 1 row supplied returns validation error
- More than 200 rows exceeds the maxItems limit and is rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Numeric values outside allowed range trigger input rejection
- Missing required fields (row_id, game_area, date) cause row-level errors
- Invalid field enum value (not body_count or step_ms) causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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