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Animation Clips Data Quality Audit & String Normalisation & Adjacent Row Changes
x402
Animation Clips Data Quality Audit & String Normalisation & Adjacent Row Changes 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).
Runs three local analytical reports on supplied animation clip records (frame_count, duration_seconds): record quality audit, string normalisation, and adjacent row change detection — up to 200 rows per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Animation clips — Record quality audit + String normalisation + Adjacent row changes: Record quality audit + String normalisation + Adjacent row changes for supplied animation clips records (frame_count, duration_seconds). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent reports: (1) a record quality audit flagging missing, null, or out-of-range values in frame_count and duration_seconds; (2) a string normalisation report identifying and correcting inconsistencies in text fields like asset_group; (3) an adjacent row change report showing frame-by-frame or second-by-second deltas between consecutive rows — all computed locally without external lookups.
Example use cases
Animation Pipeline Data Quality Check
“I have 120 animation clip records with frame_count and duration_seconds and I want to audit their quality, normalise the string fields, and see where adjacent rows show big changes — can you run all three reports on them?”
Detecting Frame Count Jumps Between Clips
“Can you analyse my animation dataset for sudden changes in frame_count between consecutive rows? I have about 80 records across two asset groups and want the adjacent row change report focused on frame_count.”
Pre-Delivery Asset Record Validation
“Before I hand off this batch of animation clip metadata to the client, can you run a full quality audit and string normalisation check on these 200 rows to make sure everything is clean and consistent?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-07-200?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have animation clip tabular data (frame counts and durations) and need a fast, cheap, offline triple-report bundle covering data quality, string hygiene, and sequential change detection in a single call. Ideal for pre-delivery QA, pipeline validation, or exploratory data cleaning of creative asset metadata without needing external lookups or predictions.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, date, asset_group) cause row-level errors
- Invalid date format (not YYYY-MM-DD) triggers validation failure
- frame_count or duration_seconds outside allowed numeric range causes parse errors
- Empty rows array returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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