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Animation Clips Data Quality & Analytics Suite
x402
Animation Clips Data Quality & Analytics Suite 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).
Runs three local analytical reports on animation clip records: record quality audit, string normalisation, and date-by-category pivot for frame_count or duration_seconds fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Animation clips — Record quality audit + String normalisation + Date by category pivot: Record quality audit + String normalisation + Date by category pivot 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
Three independent analytical reports returned together: (1) a record quality audit flagging null, out-of-range, or structurally invalid values per row; (2) string normalisation results for text fields such as asset_group; and (3) a date-by-category pivot table aggregating the selected numeric field (frame_count or duration_seconds) by date and asset_group — all computed locally against the supplied data, no external lookups.
Example use cases
Animation pipeline data quality check
“I have a batch of 80 animation clip records with frame counts and durations and I want to audit them for data quality issues, normalise the string fields, and see a pivot of frame_count by date and asset group — can you run all three reports at once?”
Asset group duration pivot for review
“Can you analyse my 120 animation clip records and give me a date-by-category pivot on duration_seconds broken down by asset group, plus flag any quality issues in the data?”
Pre-delivery animation metadata cleanup
“Before I hand off this animation dataset to the client, can you run string normalisation and a record quality audit on my 60 rows of clip data including frame_count and duration_seconds fields?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-07-206?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled analytical operations — quality audit, string normalisation, and date pivot — on animation clip records in a single cheap call ($0.01 USDC). Ideal for pre-delivery data validation, pipeline QA checks, and lightweight analytics on batches up to 200 rows without requiring a live data warehouse or external ML service. Not suitable for real-time streaming, prediction, or datasets exceeding 200 rows.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, frame_count, duration_seconds) cause row-level rejection
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Selecting a field value not in enum ['frame_count','duration_seconds'] returns a schema error
- Empty rows array returns a minItems validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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