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Mesh Budgets Record Quality Audit and Keyed Dataset Comparison
x402
Mesh Budgets Record Quality Audit and Keyed Dataset Comparison 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).
Audits record quality and compares two keyed datasets of mesh budget records (triangle_count, vertex_count) for up to 200 rows, producing two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Mesh budgets — Record quality audit + Keyed dataset comparison: Record quality audit + Keyed dataset comparison for supplied mesh budgets records (triangle_count, vertex_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
Two independent analytical reports: (1) a record quality audit covering completeness, nulls, outliers, and data integrity issues across the supplied rows; and (2) a keyed dataset comparison highlighting differences between the two input datasets matched by row_id. No external lookups or predictions are made — all analysis is performed locally on the supplied data.
Example use cases
Detecting mesh budget discrepancies between pipeline versions
“I have two exports of our 3D asset mesh budgets — one from last week and one from today — each with row_id, asset_group, date, triangle_count, and vertex_count. Can you compare them side by side and audit the record quality so I can see what changed and flag any data issues?”
Validating geometry data before submission
“Before we submit our mesh budget spreadsheet for review, can you do a record quality audit on it? The data has rows for several asset groups dated 2026-10-01 to 2026-10-10, each with triangle_count and vertex_count, and I also want to compare it against our reference baseline dataset.”
Identifying bad rows in asset group budget records
“Some of our mesh budget records look off — there are nulls and suspicious values in the triangle_count and vertex_count columns across group-a and group-b entries. Can you audit the data quality and compare the current records against our approved version to pinpoint which rows are problematic?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-01-018?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit AND a side-by-side keyed comparison of two versions of mesh budget records (triangle_count, vertex_count) in a single call, at low cost. It is specifically designed for 3D asset pipeline QA workflows where you want to detect data integrity issues and diff two datasets without any external API calls or live lookups. Prefer it over general-purpose data tools when your data is already structured in the required schema and you want two reports in one request.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, asset_group, date, triangle_count, vertex_count) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Numeric values outside allowed range (-1e12 to 1e12) are rejected
- Empty rows array causes a minItems violation
- Mismatched row_ids between the two datasets may affect comparison completeness
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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