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Animation Clips Data Quality Audit — Deduplication + IQR Outlier Flags
x402
Animation Clips Data Quality Audit — Deduplication + IQR Outlier Flags 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 analytical reports on animation clip records: record quality audit, exact row deduplication, and IQR-based outlier flagging for frame_count and duration_seconds fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Animation clips — Record quality audit + Exact row deduplication + IQR outlier flags: Record quality audit + Exact row deduplication + IQR outlier flags 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 identifying missing, malformed, or invalid field values; (2) an exact row deduplication report listing duplicate records; and (3) IQR-based outlier flags for the specified numeric field (frame_count or duration_seconds). All reports are generated locally from the supplied data — no external lookups or predictions are made.
Example use cases
Pre-pipeline animation asset cleanup
“I have a batch of animation clip records with frame_count and duration_seconds — can you run a full quality audit on them, flag any exact duplicates, and identify any IQR outliers in frame_count before we push them to the render pipeline?”
Detecting bad frame count data
“Some of our animation clips seem to have weird frame counts — can you check these records for outliers using IQR flagging on frame_count and also tell me if any rows have quality issues?”
Deduplication before billing report
“Before I generate our monthly billing report for animation assets, can you check these clip records across group-a and group-b for exact duplicate rows and flag any data quality problems in the duration_seconds field?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-07-220?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have animation clip records (with frame_count and duration_seconds) and need a combined quality audit, deduplication check, and IQR outlier analysis in a single call at low cost. Ideal for pre-processing pipelines, data cleaning workflows, or QA checks on creative asset datasets. Not suitable for live data lookups, predictive analytics, or datasets exceeding 200 rows per call.
Side effects
- Exceeding 200 rows returns an error — batch must be split
- Missing required fields (row_id, date, frame_count, duration_seconds) causes validation failure
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Null values in numeric fields are accepted but may reduce outlier detection accuracy
- Empty rows array is rejected by minItems:1 constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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