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Animation Clips Grouped Numeric Summary with IQR Outlier Flags
x402
Animation Clips Grouped Numeric Summary with 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 2026-10-21).
Computes grouped numeric summary statistics and IQR-based outlier flags for animation clip data (frame_count, duration_seconds) across asset groups, returning up to 2 reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Animation clips — Grouped numeric summary + IQR outlier flags: Grouped numeric summary + 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 up to 2 analytical reports: (1) grouped numeric summary statistics (e.g. mean, median, min, max, quartiles) for the selected numeric field (frame_count or duration_seconds) broken down by asset_group, and (2) IQR-based outlier flags identifying which rows fall outside the interquartile range within their group. Covers up to 200 input rows.
Example use cases
Outlier detection in animation frame counts
“I have 150 animation clip records with frame_count and asset_group fields — can you group them and flag any frame_count outliers using IQR analysis so I can identify problematic clips?”
Duration statistics by asset group
“Run a grouped numeric summary on my animation clips dataset using duration_seconds as the field — I want descriptive stats and IQR outlier flags for each asset group so I know which clips have unusual lengths.”
QA check on mixed animation asset batches
“I've got two batches of animation clips tagged as group-a and group-b — can you compute grouped summary stats and flag frame_count outliers using IQR so I can QA the data before sending it to the rendering pipeline?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-07-094?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have animation clip records structured with asset_group, frame_count, and duration_seconds and need both grouped descriptive statistics and IQR-based outlier detection in a single low-cost call. Ideal for creative production pipelines doing data QA on animation assets, where you want to identify anomalous clips within category groups without building custom analytics. Best for batches of 1–200 rows needing offline statistical analysis rather than real-time monitoring or prediction.
Side effects
- Fewer than 1 row provided — rejected by minItems constraint
- More than 200 rows submitted — exceeds maxItems limit
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Missing required fields (row_id, asset_group, date, frame_count, duration_seconds) — validation error
- Null values for both numeric fields may reduce outlier detection quality
- Field enum value not matching 'frame_count' or 'duration_seconds' — validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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