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Animation Clips — Base-100 Series + IQR Outlier Flags
x402
Animation Clips — Base-100 Series + 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).
Computes Base-100 indexed time series and IQR-based outlier flags for animation clip metrics (frame_count, duration_seconds) across up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Animation clips — Base-100 series + IQR outlier flags: Base-100 series + 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
Returns two analytical reports: (1) a Base-100 indexed series for the selected metric (frame_count or duration_seconds) relative to the specified base row, and (2) IQR-based outlier flags indicating which rows fall outside the interquartile range bounds — all computed locally without external lookups.
Example use cases
Detect outlier animation clips by duration
“Here are 150 animation clips from our project with their durations in seconds and frame counts. Can you index the duration_seconds field to Base-100 starting at row 0 and flag any clips that are statistical outliers using IQR?”
Baseline frame counts across asset groups
“I have animation data for two asset groups spanning the past quarter — can you run a Base-100 normalization on the frame_count field starting from the first entry and also identify which rows are outliers using the IQR method?”
QA check on animation render metrics
“We just exported render stats for 80 animation clips. Please index the frame_count values to a Base-100 series from row 0 and flag anything that looks like an IQR outlier so our QA team can review those clips.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-07-164?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a Base-100 time series normalization and IQR outlier detection on animation clip metrics (frame_count or duration_seconds) in a single call. It is ideal for creative production pipelines that need to benchmark clips against a baseline row and simultaneously surface statistical anomalies, without requiring external data lookups or predictions. Prefer it over general-purpose analytics when your data fits the animation clip schema and you want two reports bundled at low cost.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, date, frame_count, duration_seconds) causing validation errors
- base_index out of bounds (must be 0–199 and within the actual row count)
- All numeric values are null, preventing IQR computation
- Date strings not matching YYYY-MM-DD format causing schema validation failure
- Numeric values outside allowed range causing rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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