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Animation Clips Base-100 Series and Secondary-Measure Weighted Mean
x402
Animation Clips Base-100 Series and Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Computes a Base-100 index series and secondary-measure weighted mean for animation clip data (frame_count, duration_seconds) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Animation clips — Base-100 series + Secondary-measure weighted mean: Base-100 series + Secondary-measure weighted mean 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: a Base-100 index series showing each row's selected field value normalized relative to the base index row, and a secondary-measure weighted mean computed across all supplied rows. Both reports are generated locally without external lookups.
Example use cases
Tracking frame count growth across clips
“I have a series of animation clips from two asset groups recorded over four days. Can you index the frame_count values to base-100 starting from the first clip and also give me the duration-weighted mean across all rows? Here are the clips: row-1 group-a 2026-10-01 frames=100 duration=5s, row-2 group-b 2026-10-02 frames=150 duration=7s, row-3 group-a 2026-10-03 frames=120 duration=6s.”
Comparing duration trends between asset groups
“For my animation project, I've got 5 clips across two groups and I want to see a base-100 series on duration_seconds with the baseline set to the third row, plus the frame_count weighted mean. Clips: row-1 group-alpha 2026-11-01 frames=80 duration=4s, row-2 group-beta 2026-11-02 frames=90 duration=5s, row-3 group-alpha 2026-11-03 frames=60 duration=3s, row-4 group-beta 2026-11-04 frames=110 duration=6s, row-5 group-alpha 2026-11-05 frames=95 duration=4.5s.”
Benchmarking new animation batch against baseline
“I want to benchmark a new batch of animation clips against a known baseline clip. Please run the base-100 index on frame_count starting from row 0 and give me the weighted mean using duration_seconds for these clips: row-1 baseline 2026-12-01 frames=200 duration=10s, row-2 new-batch 2026-12-02 frames=220 duration=11s, row-3 new-batch 2026-12-03 frames=180 duration=9s, row-4 new-batch 2026-12-04 frames=240 duration=12s.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-07-166?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to normalize animation clip metrics to a relative base-100 index and simultaneously compute a secondary-measure weighted mean, all from your own supplied data without any external data fetch. Ideal for offline or batch analytical workflows on animation asset libraries where you have up to 200 clip records and want two statistical summaries in a single low-cost call.
Side effects
- Empty or missing rows array returns a validation error
- More than 200 rows causes a rejection due to row limit
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- base_index out of range (>= number of rows) causes an index error
- Null values in both frame_count and duration_seconds may produce incomplete weighted mean
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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