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Frame Timing Analyzer — Record Quality Audit + String Normalisation + Numeric Row Ordering
x402
Frame Timing Analyzer — Record Quality Audit + String Normalisation + Numeric Row Ordering 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).
Audits quality, normalises strings, and sorts rows for supplied frame timing records (frame_ms, draw_calls) in up to 200 rows, producing 3 independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Frame timing — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied frame timing records (frame_ms, draw_calls). 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 independent reports per call: (1) a record quality audit flagging missing, malformed, or out-of-range values in the supplied rows; (2) a string normalisation report for the game_area field; and (3) a numeric row ordering report sorting rows by the selected field (frame_ms or draw_calls). All analysis is performed locally on the submitted data with no external lookups.
Example use cases
Game area data quality check
“I've got 80 rows of frame timing data from our game — each has a row_id, date, game_area, frame_ms, and draw_calls. Can you run a quality audit, normalise the game_area strings, and order the rows numerically by frame_ms so I can spot the worst-performing frames?”
Draw call outlier ordering
“Here are 150 frame timing records from our rendering pipeline — can you audit their data quality, clean up the game_area strings, and sort them numerically by draw_calls so we can identify which scenes have the highest draw call counts?”
Pre-release performance data cleanup
“Before our studio review, I need these 60 frame timing rows cleaned up — please run a record quality audit, normalise the game_area labels, and sort everything by frame_ms in numeric order.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-01-196?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw game frame timing records (frame_ms, draw_calls) and need a combined data quality audit, string normalisation, and numeric ordering in a single low-cost API call. It is ideal for pre-analysis cleanup of game performance logs, up to 200 rows at a time. It does not perform predictions, live lookups, or external data enrichment, so prefer it strictly for offline/local analytical cleaning tasks on supplied data.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, game_area, date, frame_ms, draw_calls) causes row-level rejection
- Invalid date format (not YYYY-MM-DD) triggers a schema validation error
- Non-numeric values outside the allowed range for frame_ms or draw_calls are flagged or rejected
- Empty rows array returns an error due to minItems:1 constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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