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Mesh Budgets Data Quality Suite — Audit, Deduplication & Trailing Mean
x402
Mesh Budgets Data Quality Suite — Audit, Deduplication & Trailing Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-31).
Runs three analytical reports on mesh budget data (triangle_count, vertex_count): a record quality audit, exact row deduplication, and a trailing mean time series, all computed locally without external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Mesh budgets — Record quality audit + Exact row deduplication + Trailing mean series: Record quality audit + Exact row deduplication + Trailing mean series for supplied mesh budgets records (triangle_count, vertex_count). 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
Returns three independent reports: (1) a record quality audit flagging nulls, format violations, and suspicious values across triangle_count and vertex_count fields; (2) an exact row deduplication report identifying fully duplicate records; and (3) a trailing mean time series computed over the specified window for the chosen numeric field (triangle_count or vertex_count), all derived locally from the supplied rows with no external data fetched.
Example use cases
Game asset mesh data cleanup
“I have a spreadsheet of mesh budget rows with triangle_count and vertex_count per asset group and date — can you check it for duplicate rows, flag any quality issues, and give me a trailing mean series with window size 5 for triangle_count?”
QA pipeline for 3D art team budgets
“Our 3D art team tracks vertex and triangle budgets by asset group daily — run an audit, deduplicate the records, and calculate a trailing mean with a window of 4 for vertex_count so we can spot trends and bad data before our sprint review.”
Anomaly detection on mesh geometry records
“Before I hand off this mesh budget dataset to the rendering team, can you do a record quality audit and exact deduplication, then compute a trailing mean (window 2) on triangle_count to see if anything looks off?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-01-216?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of mesh budget data (triangle_count and vertex_count per asset group and date) and need a combined data quality audit, exact deduplication check, and rolling mean series in a single $0.01 API call without any external data lookups or predictions. It is ideal for 3D asset pipeline QA, game development budget validation, and lightweight analytics on geometry data exports.
Side effects
- Input exceeds 200 rows — request rejected with validation error
- Missing required fields (row_id, date, asset_group, triangle_count, vertex_count) cause row-level errors
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Window size larger than number of supplied rows may produce empty or partial trailing mean series
- Null or out-of-range numeric values may be flagged but not cause full failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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