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Animation Clips — Record Quality Audit + IQR Outlier Flags
x402
Animation Clips — Record Quality Audit + IQR Outlier Flags is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).
Performs a record quality audit and IQR-based outlier detection on up to 200 animation clip records (frame_count, duration_seconds), returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Animation clips — Record quality audit + IQR outlier flags: Record quality audit + IQR outlier flags for supplied animation clips records (frame_count, duration_seconds). 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 independent analytical reports: (1) a record quality audit identifying issues such as nulls, invalid values, and data completeness problems across the supplied animation clip rows, and (2) an IQR-based outlier detection report flagging records whose frame_count or duration_seconds values fall outside the interquartile range. Both reports are generated locally from the supplied data with no external lookups.
Example use cases
QA check on animation library export
“I just exported 120 animation clip records from our asset pipeline — can you run a quality audit and flag any IQR outliers on the frame_count field? Each row has a row_id, asset_group, date, frame_count, and duration_seconds.”
Detecting bad duration values before render
“Before I send these 80 animation clips to the render farm, can you check for data quality issues and flag any duration_seconds values that are statistical outliers using IQR? I'll pass you the rows with row_id, asset_group, date, and both numeric fields.”
Auditing animation data across asset groups
“We have two asset groups — 'cutscenes' and 'idle-loops' — and I need a quality audit plus IQR outlier flags on the frame_count across about 150 rows of animation clip records. Can you produce both reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-07-014?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have animation clip tabular data (with frame_count and duration_seconds) and need both a record-level quality audit and statistical outlier detection in a single call. It is ideal for pre-processing pipelines where you want to catch bad or anomalous records before downstream rendering or ingestion, without requiring any external data sources or live lookups. Prefer it over generic data quality tools when your data specifically matches the animation clip schema (row_id, asset_group, date, frame_count, duration_seconds).
Side effects
- Fewer than 1 row supplied — minimum of 1 row required
- More than 200 rows supplied — exceeds maxItems limit
- Missing required fields (row_id, asset_group, date, frame_count, duration_seconds) on any row
- Date field does not match YYYY-MM-DD format — pattern validation failure
- Invalid field enum value supplied — must be 'frame_count' or 'duration_seconds'
- Numeric fields out of supported range (±1,000,000,000,000)
- Payment not provided or insufficient — endpoint requires $0.01 USDC via x402 protocol
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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