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Rig Complexity — Record Quality Audit + Daily Sum Series
x402
Rig Complexity — Record Quality Audit + Daily Sum Series 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 two local analytical reports on supplied rig complexity data (bone_count, constraint_count): a record quality audit and a daily sum series, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Rig complexity — Record quality audit + Daily sum series: Record quality audit + Daily sum series 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 independent analytical reports: (1) a record quality audit identifying data issues, missing values, or anomalies in the supplied rig complexity rows, and (2) a daily sum series aggregating the selected field (bone_count or constraint_count) by date. Both reports are computed locally with no external lookups.
Example use cases
Audit animation rig data quality
“I've got a batch of rig complexity records for my asset groups with bone_count and constraint_count values across several dates — can you run a quality audit on the bone_count field to flag any issues in the data?”
Daily sum series for constraint counts
“Take these 50 rig complexity rows across my asset groups and dates and give me a daily sum series for constraint_count so I can see how complexity is totalling up each day.”
Validate rigging data before pipeline handoff
“Before we hand off to the rigging team, can you run both the record quality audit and daily sum series on our bone_count records for the past month? I need to make sure there are no data problems and see the daily totals.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-04-009?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a daily aggregation summary on rig complexity records (bone_count or constraint_count) in a single low-cost call. It is ideal for animation pipeline QA workflows where you want to validate supplied data without any external lookups or predictions, and where the dataset fits within 200 rows. It is not suitable for live data fetching, prediction, or datasets exceeding 200 rows.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, asset_group, date, bone_count, constraint_count) on any row causes rejection
- Invalid date format (not YYYY-MM-DD) triggers a schema validation error
- Selecting a field value outside the allowed enum (bone_count, constraint_count) causes an error
- Empty rows array is rejected due to minItems:1 constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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