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Motion Capture Frame Data — String Normalisation + IQR Outlier Flags
x402
Motion Capture Frame Data — String Normalisation + 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 2026-10-20).
Normalises string fields and flags IQR-based outliers for motion capture records containing frame_count and missing_frames metrics, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Motion capture — String normalisation + IQR outlier flags: String normalisation + IQR outlier flags for supplied motion capture records (frame_count, missing_frames). 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
Two analytical reports per call: one covering string normalisation of asset_group and related text fields, and one flagging rows whose selected numeric field (frame_count or missing_frames) falls outside the interquartile range as outliers. Results are derived entirely from the supplied rows with no external lookups.
Example use cases
Animation studio mocap QA
“We recorded 150 motion capture sessions this week with frame counts and missing frame numbers per asset group — can you normalise the asset group labels and flag any frame_count values that are IQR outliers so we know which sessions need re-capture?”
Missing frames anomaly detection
“Here are our mocap records for the past month — run IQR outlier detection on the missing_frames field and normalise the string columns so I can spot which sessions had abnormally high data loss.”
Multi-group mocap data audit
“I've got about 80 rows of motion capture data across two asset groups with frame counts and missing frame counts per date — can you clean up the string fields and give me two reports flagging statistical outliers using IQR?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-21-032?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular motion capture data and need both string normalisation and IQR-based outlier detection in a single low-cost call (up to 200 rows). It is purpose-built for mocap frame metrics and returns two independent analytical reports from supplied data alone, with no external dependencies. Prefer it over general-purpose analytics when you specifically need IQR outlier flagging and string cleaning for frame_count or missing_frames fields.
Side effects
- More than 200 rows submitted — exceeds batch limit
- Missing required fields (row_id, date, frame_count, or missing_frames) cause row-level errors
- Invalid date format (not YYYY-MM-DD) may cause parsing failures
- Null numeric values across all rows may prevent meaningful IQR computation
- field enum value not matching 'frame_count' or 'missing_frames' causes validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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