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Animation Clips — Base-100 Series + Keyed Dataset Comparison
x402
Animation Clips — Base-100 Series + Keyed Dataset Comparison 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 a keyed dataset comparison for animation clip metrics (frame_count or 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 + Keyed dataset comparison: Base-100 series + Keyed dataset comparison 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 time series normalizing the selected metric (frame_count or duration_seconds) relative to a baseline value, and (2) a keyed dataset comparison aligning rows from the primary and secondary datasets by row_id to surface differences. Results are computed locally with no external lookups.
Example use cases
Frame count baseline comparison across releases
“I have two batches of animation clips from our last two production sprints — same asset IDs but different frame counts. Can you index the frame_count values to a base-100 series and run a keyed comparison between the two batches to see which clips changed the most?”
Duration drift analysis across asset groups
“Compare these two sets of animation clip records by duration_seconds — I want a base-100 index of how durations trend over dates, and a keyed comparison showing where group-a and group-b diverged between the old and new datasets.”
QA check on animation clip metrics after re-export
“We just re-exported our animation clips and I want to verify how much the frame counts shifted. Can you run a base-100 series and keyed dataset comparison on my before and after clip records — up to 150 rows each — using the frame_count field?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-07-168?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have two sets of animation clip records (with frame_count and duration_seconds) and need both a normalized Base-100 time series and a row-keyed side-by-side comparison in a single low-cost call. It is ideal for production pipeline QA, sprint-over-sprint benchmarking, or asset audit workflows where you want relative indexing plus direct row-level diffing without any external data enrichment or prediction.
Side effects
- Missing required row fields (row_id, date, frame_count, duration_seconds) cause validation errors
- Exceeding 200 rows in either dataset results in rejection
- Invalid date format (not YYYY-MM-DD) triggers a pattern validation failure
- Null values in the selected metric field may produce incomplete index calculations
- Mismatched row_ids between primary and comparison datasets may yield empty keyed comparison results
- Invalid field enum value (anything other than frame_count or duration_seconds) causes request rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| base_index | integer |
Tags
x402
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