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Mesh Budgets — Record Quality Audit + String Normalisation + Trailing Mean Series
x402
Mesh Budgets — Record Quality Audit + String Normalisation + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-27).
Runs three local analytical reports on mesh budget records (triangle_count, vertex_count): a record quality audit, string normalisation, and trailing mean series computation — for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Mesh budgets — Record quality audit + String normalisation + Trailing mean series: Record quality audit + String normalisation + 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
Three independent analytical reports: (1) a record quality audit flagging completeness and anomaly issues in the supplied rows, (2) a string normalisation report cleaning and standardising text fields like asset_group, and (3) a trailing mean series for the selected numeric field (triangle_count or vertex_count) computed over the specified rolling window — all derived entirely from the supplied data without any external lookups.
Example use cases
Audit 3D asset pipeline mesh records
“I've got a batch of 3D asset mesh records with triangle_count and vertex_count values across different asset groups and dates — can you run a record quality audit, string normalisation, and trailing mean series (window of 4) on the triangle_count field to spot any data issues and see the rolling trend?”
Rolling mean trend for vertex counts
“Can you analyse my vertex_count data for the last 50 mesh budget rows with a trailing mean window of 5 — I want to see the moving average series alongside a quality audit and string normalisation of the asset_group labels?”
Clean and summarise game mesh budget data
“I'm reviewing mesh budgets for a game project — please run all three reports (quality audit, string normalisation, trailing mean with window 2) on my records using the triangle_count field, so I can identify dirty strings and rolling averages across asset groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-01-199?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular mesh geometry records (triangle and vertex counts) and need simultaneous data quality auditing, string cleaning, and rolling mean trend analysis in a single low-cost call. It is ideal for 3D asset pipeline QA workflows where you want to validate and summarise up to 200 rows without any external data enrichment or prediction. It is not suitable if you need live data fetches, forecasting, or analysis of fields outside triangle_count and vertex_count.
Side effects
- Fewer than 1 or more than 200 rows supplied — request rejected
- Missing required fields (row_id, asset_group, date, triangle_count, vertex_count) in any row — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- Window value outside 2–200 range — rejected
- Field enum value not 'triangle_count' or 'vertex_count' — invalid input
- Payment of 0.01 USDC not provided — 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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