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Motion Capture Frame Analytics — String Normalisation & Secondary-Measure Weighted Mean
x402
Motion Capture Frame Analytics — String Normalisation & Secondary-Measure 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 string normalisation and secondary-measure weighted mean calculations on motion capture records (frame_count, missing_frames) for up to 200 rows, returning 2 independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Motion capture — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean 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
Returns 2 independent analytical reports: one covering string normalisation applied to the supplied motion capture records and one providing a secondary-measure weighted mean for the chosen field (frame_count or missing_frames), computed locally across up to 200 input rows without any external lookups or predictions.
Example use cases
Animation studio frame quality audit
“I have 150 rows of motion capture session data with frame_count and missing_frames for different asset groups recorded last month — can you normalise the string fields and compute the weighted mean on frame_count so I can see which groups have the most consistent capture quality?”
Mocap pipeline completeness check
“Run string normalisation and a secondary-measure weighted mean on missing_frames for these mocap records across our 'rig-alpha' and 'rig-beta' asset groups — I need to know the weighted average of missing frames to flag any problem sessions.”
Daily frame loss reporting for VFX team
“We captured motion data today across 5 asset groups with varying frame counts — can you normalise the identifiers and give me a weighted mean report on the missing_frames column so I can send the team a daily data quality summary?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-21-034?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, local statistical processing of motion capture frame data — specifically string normalisation and weighted mean computation — without requiring live lookups, external data enrichment, or predictive modelling. It is best suited for small-to-medium batches (up to 200 rows) of mocap records where you need two self-contained analytical reports at minimal cost ($0.01 USDC).
Side effects
- Exceeding 200 rows will cause a validation error — batches must be split
- Missing required fields (row_id, date, asset_group, frame_count, missing_frames) will result in a schema validation failure
- Malformed date strings not matching YYYY-MM-DD pattern will be rejected
- Null values in numeric fields are accepted but may affect weighted mean accuracy
- Selecting an invalid field enum value will cause a request error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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