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Animation Clips Data Quality Suite: Record Audit + String Normalisation + Trailing Mean Series
x402
Animation Clips Data Quality Suite: Record Audit + String Normalisation + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-21).
Runs three local analytical reports on animation clip records (frame_count, duration_seconds): a record quality audit, string normalisation, and a trailing mean time series — all in one call for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Animation clips — Record quality audit + String normalisation + Trailing mean series: Record quality audit + String normalisation + Trailing mean series for supplied animation clips records (frame_count, duration_seconds). 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 three independent reports for the supplied animation clip rows: (1) a record quality audit flagging missing, null, or out-of-range values in frame_count and duration_seconds; (2) a string normalisation report for fields like asset_group; and (3) a trailing mean time series for the selected numeric field (frame_count or duration_seconds) over the specified rolling window. All computed locally with no external lookups.
Example use cases
Animation pipeline data quality check
“I have 150 animation clip records with frame_count and duration_seconds values across several asset groups — can you run the full quality audit plus string normalisation on them and flag any bad rows?”
Rolling average for animation duration review
“Take my animation clip dataset and compute a trailing mean series over duration_seconds with a window of 5, so I can see how average clip lengths trend across dates.”
Pre-delivery asset group normalisation
“Before I deliver these animation records to the client, can you normalise the asset_group strings and run the quality audit to make sure there are no weird values or formatting inconsistencies in the frame_count or duration_seconds fields?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-07-199?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a combined, low-cost ($0.01) batch data quality pass on animation clip records — specifically when you want record auditing, string normalisation, and rolling statistical summaries in a single call without triggering any external lookups or live data fetches. Ideal for pre-delivery pipeline checks or periodic dataset hygiene on animation asset libraries.
Side effects
- Fewer than 1 or more than 200 rows supplied — rejected with validation error
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Window size outside 2–200 range causes parameter error
- Null-only numeric columns may produce degenerate trailing mean results
- Unknown field value (not frame_count or duration_seconds) returns validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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