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Rig Complexity Analysis — Weighted Mean & Missing-Value Fill
x402
Rig Complexity Analysis — Weighted Mean & Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-21).
Computes a secondary-measure weighted mean and fills missing values for rig complexity records (bone_count, constraint_count) across up to 200 rows, producing two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Rig complexity — Secondary-measure weighted mean + Explicit missing-value fill: Secondary-measure weighted mean + Explicit missing-value fill for supplied rig complexity records (bone_count, constraint_count). 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 two analytical reports: (1) a secondary-measure weighted mean computation over the selected field (bone_count or constraint_count), and (2) an explicit missing-value fill report using the chosen method (zero, mean, or median) — both derived from the supplied rows without any external lookup or live data.
Example use cases
Animation studio rig audit
“I have 150 rig complexity records for our character and prop rigs dated this quarter — some bone_count values are missing. Can you compute the weighted mean for bone_count using constraint_count as the secondary measure, and fill in the nulls with median values?”
Asset group constraint analysis
“We have rig data across two asset groups — 'hero-rigs' and 'background-rigs' — with both bone_count and constraint_count. Can you run the secondary-measure weighted mean on constraint_count and fill any missing entries with zero so we can compare complexity across groups?”
Pipeline QA missing-value report
“Before we hand off our rig dataset to the animation team, I need to check for missing bone_count values and get them filled using mean imputation, plus a weighted mean report. We have about 80 rows with row IDs and dates — can you run both reports at once?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-04-187?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular rig complexity data (bone_count, constraint_count) and need both a weighted mean aggregate and missing-value imputation in a single call, without requiring any external data source or live prediction. It is ideal for animation pipeline quality checks, asset group comparisons, or pre-delivery data cleaning where offline, deterministic computation on up to 200 rows is sufficient.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes validation error
- Missing required fields (row_id, asset_group, date, bone_count, constraint_count) cause row rejection
- Invalid enum value for field or method parameter returns error
- All values null for the target field may produce degenerate or empty weighted mean
- Malformed JSON body returns 400-level error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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