{"uid":"cap_Hyb-w7kK9oPC-QUu15R4i","slug":"texture-baking-analytics-numeric-row-ordering-keyed-dataset-comparison-89d6760e","name":"Texture Baking Analytics — Numeric Row Ordering + Keyed Dataset Comparison","description":"Texture baking — Numeric row ordering + Keyed dataset comparison: Numeric row ordering + Keyed dataset comparison for supplied texture baking records (bake_seconds, texture_pixels). 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 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texture baking records by a chosen metric and compares two datasets keyed by row ID, returning two analytical reports for up to 200 rows of bake_seconds and texture_pixels data.","exampleAgentPrompt":"Rank these texture baking records by bake_seconds and compare them against last week's dataset to spot differences — I've got two sets of up to 50 rows each, with fields row_id, asset_group, date, bake_seconds, and texture_pixels.","exampleUseCases":[{"title":"Identify slowest texture baking jobs","prompt":"I have 80 texture baking records for this sprint with row_id, asset_group, date, bake_seconds, and texture_pixels — rank them by bake_seconds so I can see which jobs are taking the longest."},{"title":"Compare baking performance between two builds","prompt":"Compare my texture baking results from build v1 and build v2 — both have the same row IDs, and I want to see where bake_seconds changed between the two builds across up to 100 rows."},{"title":"Audit pixel output changes across asset groups","prompt":"I have two texture baking datasets from different pipeline runs and I want to rank them by texture_pixels and see a keyed comparison so I can spot which asset_groups changed their pixel output the most."}],"resultDescription":"Two analytical reports: (1) a numeric row ordering report that ranks all submitted rows by the chosen field (bake_seconds or texture_pixels), and (2) a keyed dataset comparison report that matches rows by row_id between the primary and secondary datasets and surfaces differences in the measured values. All processing is local with no external lookups.","failureModes":["Fewer than 1 row submitted — minimum 1 row required","More than 200 rows submitted — maximum is 200 rows per dataset","Invalid date format (must be YYYY-MM-DD)","row_id missing or empty string — required for keyed comparison","Numeric values outside allowed range (±1,000,000,000,000)","Invalid field enum value (must be bake_seconds or texture_pixels)","Mismatched row_ids between primary and secondary datasets may yield incomplete comparison"],"whenToPreferThis":"Choose this endpoint when you have texture baking performance data (bake_seconds, texture_pixels) and need either a ranked ordering of records by one of those metrics, or a row-keyed comparison between two datasets (e.g. before/after a pipeline change). It is ideal for offline, deterministic analytics on up to 200 rows with no need for live data, predictions, or external integrations. At $0.01 USDC for two reports, it is cost-effective for routine pipeline audits.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:29.455Z","isFirstParty":false,"canonicalSlug":"texture-baking-analytics-numeric-row-ordering-keyed-dataset-comparison-89d6760e"}