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Animation Clips String Normalisation and Two-Measure Correlation
x402
Animation Clips String Normalisation and Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-31).
Performs string normalisation and two-measure Pearson/rank correlation analysis on animation clip records (frame_count, duration_seconds) for up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Animation clips — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation 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 independent analytical reports per call: a string-normalised version of the supplied animation clip records, and two-measure correlation results (e.g. Pearson and rank correlation) between frame_count and duration_seconds across up to 200 rows, computed locally without any external lookups.
Example use cases
Animation studio asset quality check
“I have 120 animation clip records from our October production run — each has a row ID, asset group, date, frame count, and duration in seconds. Can you normalise the string fields and run a two-measure correlation on frame_count vs duration_seconds so I can see if longer clips consistently have more frames?”
Cross-group frame-duration consistency
“We produce clips in two asset groups, group-a and group-b. I want to know if frame count and duration are correlated differently across those groups — can you normalise and run a two-measure correlation analysis on all 80 rows of our clip data?”
Post-render pipeline validation
“After our render pipeline finished, I have 200 animation clip records with frame counts and durations. Please run string normalisation and generate two correlation reports so I can verify that frame_count and duration_seconds move together as expected before we archive the batch.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-07-033?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation and dual-measure statistical correlation on animation clip data (frame_count and duration_seconds) in a single low-cost call. It is ideal for small-to-medium batches (up to 200 rows) where you want offline, deterministic analytics without any live lookups, predictions, or external side effects. Prefer it over general-purpose stats tools when your data is already structured in the animation clip schema and you need two correlation reports for the price of one call.
Side effects
- More than 200 rows submitted — request rejected with validation error
- Missing required fields (row_id, frame_count, duration_seconds) — row-level or batch-level error
- Invalid date format (non YYYY-MM-DD) — schema validation failure
- Null values in numeric fields may affect correlation computation
- Fewer than 2 rows provided — insufficient data for correlation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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