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Animation Clips Base-100 Series and Date-by-Category Pivot
x402
Animation Clips Base-100 Series and Date-by-Category Pivot 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 a Base-100 index series and a date-by-category pivot table for supplied animation clip records (frame_count or duration_seconds), returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Animation clips — Base-100 series + Date by category pivot: Base-100 series + Date by category pivot 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 index series normalizing the chosen numeric field (frame_count or duration_seconds) relative to a specified baseline row, and (2) a date-by-category pivot table grouping values by date and asset_group. Both reports are computed from the supplied rows using local analytical engines with no external data lookups.
Example use cases
Indexing animation production output over time
“I've got weekly animation clip records for two asset groups — can you run a Base-100 index series on the frame_count field starting from the first row, and also give me a date-by-category pivot? Here are 6 rows: clip-1 on 2026-09-01 in group-alpha with 120 frames and 5 seconds, clip-2 on 2026-09-08 in group-beta with 240 frames and 10 seconds, clip-3 on 2026-09-15 in group-alpha with 180 frames and 7.5 seconds, clip-4 on 2026-09-22 in group-beta with 300 frames and 12 seconds, clip-5 on 2026-09-29 in group-alpha with 210 frames and 9 seconds, clip-6 on 2026-10-06 in group-beta with 360 frames and 15 seconds.”
Comparing duration trends across animation studios
“Can you pivot duration_seconds by date and asset_group for these animation clips and also index them to base 100 from row index 0? I have clips from two studios: studio-A and studio-B across 5 dates in Q4 2026 — clip-a1 on 2026-10-01 studio-A 8 seconds 200 frames, clip-b1 on 2026-10-01 studio-B 12 seconds 300 frames, clip-a2 on 2026-10-15 studio-A 9 seconds 225 frames, clip-b2 on 2026-10-15 studio-B 11 seconds 275 frames, clip-a3 on 2026-11-01 studio-A 10 seconds 250 frames.”
Monitoring frame count growth across asset categories
“I want to track how frame counts have grown relative to our baseline across two animation categories. Please index frame_count to base 100 from row 0 and pivot by date and category for these records: scene-1 on 2026-07-01 in backgrounds with 500 frames and 20 seconds, scene-2 on 2026-07-01 in characters with 800 frames and 32 seconds, scene-3 on 2026-08-01 in backgrounds with 550 frames and 22 seconds, scene-4 on 2026-08-01 in characters with 900 frames and 36 seconds.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-07-167?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have animation clip records with frame counts or durations and need both a normalized Base-100 time series and a date-by-category pivot in a single call. It is ideal for small-to-medium animation datasets (up to 200 rows) where you want two complementary analytical views — trend indexing and categorical aggregation — without building your own analytics pipeline. Prefer this over general-purpose analytics tools when your data is already structured around animation clip attributes (asset_group, date, frame_count, duration_seconds).
Side effects
- Empty or missing rows array returns an error
- More than 200 rows submitted exceeds the limit and is rejected
- Invalid date format (not YYYY-MM-DD) causes a validation error
- base_index pointing to a row with a null metric value may produce undefined indexing behavior
- Non-numeric or null values in the selected field may result in missing entries in the index series
- Invalid field value (not 'frame_count' or 'duration_seconds') causes schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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