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Mesh Budgets — Record Quality Audit + String Normalisation + Exact Row Deduplication
x402
Mesh Budgets — Record Quality Audit + String Normalisation + Exact Row Deduplication is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Runs three local analytical reports on mesh budget records (triangle_count, vertex_count): a record quality audit, string normalisation, and exact row deduplication — for up to 200 rows per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Mesh budgets — Record quality audit + String normalisation + Exact row deduplication: Record quality audit + String normalisation + Exact row deduplication 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 missing, null, or out-of-range values in triangle_count and vertex_count fields; (2) a string normalisation report showing standardised forms of text fields like asset_group; (3) an exact row deduplication report identifying and removing fully duplicate rows. All generated locally from supplied data with no external lookups.
Example use cases
Pre-submission mesh budget cleanup
“I need to clean up my mesh budget records before submitting them — can you run a quality audit, normalise the asset group strings, and remove any exact duplicate rows? Here are my entries with row_id, asset_group, date, triangle_count, and vertex_count for about 50 rows.”
Detecting duplicates in geometry asset data
“I think my mesh budget spreadsheet has some duplicate rows — can you run exact row deduplication on my triangle_count and vertex_count records? I have about 120 rows with row_id, asset_group, and date fields.”
QA pass on imported mesh budget data
“We just imported mesh budget data from another system and I want to check its quality — please run a record quality audit and string normalisation on these rows with triangle_count and vertex_count values, there are around 80 entries.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-01-191?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have mesh budget records with triangle_count and vertex_count fields and need all three data-cleaning operations (quality audit, string normalisation, exact deduplication) in a single low-cost call. Ideal for 3D asset pipelines, game development, or VFX production workflows where mesh geometry budgets are tracked per asset group and data hygiene is required before further analysis or reporting. Use when batch size is 200 rows or fewer and no live lookups or external enrichment are needed.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, asset_group, date, triangle_count, vertex_count) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- row_id empty or missing — rejection per minLength constraint
- Numeric values outside allowed range (±1,000,000,000,000) — schema rejection
- Malformed JSON body — parse error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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