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Motion Capture Data Quality Audit, String Normalisation & Weighted Mean
x402
Motion Capture Data Quality Audit, String Normalisation & Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).
Runs three local analytical reports on motion capture records: record quality audit, string normalisation, and secondary-measure weighted mean for frame_count or missing_frames fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Motion capture — Record quality audit + String normalisation + Secondary-measure weighted mean: Record quality audit + String normalisation + Secondary-measure weighted mean for supplied motion capture records (frame_count, missing_frames). 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 covering: (1) a record quality audit flagging data issues in the supplied motion capture rows, (2) a string normalisation report cleaning asset_group and related text fields, and (3) a secondary-measure weighted mean computed over the selected numeric field (frame_count or missing_frames). All computation is local with no external lookups.
Example use cases
Auditing mocap session completeness
“I have a batch of motion capture session records from last week — each has a row ID, asset group, date, frame count, and missing frame count. Can you run a quality audit plus string normalisation and give me a weighted mean of the frame_count field across all rows?”
Detecting string inconsistencies in asset groups
“Our mocap pipeline outputs asset_group labels that sometimes have inconsistent casing or spacing. Can you normalise the strings in these 50 motion capture records and also run a quality audit and weighted mean on missing_frames at the same time?”
Pre-delivery data validation for animation studio
“Before we hand off these motion capture files to the client, I need to validate data quality, clean up the asset group names, and get a weighted mean of missing_frames for up to 200 rows — can you run all three reports on this dataset?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-21-205?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled analytical operations (quality audit, string normalisation, weighted mean) on motion capture records in a single cost-effective call. It is ideal for animation and media production pipelines that need lightweight, local data validation and summarisation without any external API dependencies, predictions, or professional assessments. Best suited for batch sizes of up to 200 rows processed at once.
Side effects
- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, date, frame_count, missing_frames) cause row-level validation errors
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Null or out-of-range numeric values may be flagged in the quality audit
- Unrecognised field enum value (not frame_count or missing_frames) causes request failure
- Payment not provided or insufficient USDC causes 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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