{"uid":"cap_2W2FS23dm_WpRs0P75dQ9","slug":"texture-baking-analytics-date-category-pivot-keyed-dataset-comparison-0185c672","name":"Texture Baking Analytics — Date-Category Pivot + Keyed Dataset Comparison","description":"Texture baking — Date by category pivot + Keyed dataset comparison: Date by category pivot + 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 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-creative-10-188?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","bake_seconds","texture_pixels"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"asset_group":{"type":"string","default":"","maxLength":80},"bake_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"texture_pixels":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","asset_group":"group-a","bake_seconds":10,"texture_pixels":1},{"date":"2026-10-02","row_id":"row-2","asset_group":"group-b","bake_seconds":20,"texture_pixels":2},{"date":"2026-10-03","row_id":"row-3","asset_group":"group-a","bake_seconds":15,"texture_pixels":3},{"date":"2026-10-04","row_id":"row-4","asset_group":"group-b","bake_seconds":30,"texture_pixels":4}],"maxItems":200,"minItems":1},"field":{"enum":["bake_seconds","texture_pixels"],"type":"string","default":"bake_seconds"},"other":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","bake_seconds","texture_pixels"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"asset_group":{"type":"string","default":"","maxLength":80},"bake_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"texture_pixels":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","asset_group":"group-a","bake_seconds":10,"texture_pixels":1},{"date":"2026-10-02","row_id":"row-2","asset_group":"group-b","bake_seconds":21,"texture_pixels":2},{"date":"2026-10-03","row_id":"row-3","asset_group":"group-a","bake_seconds":17,"texture_pixels":3},{"date":"2026-10-04","row_id":"row-4","asset_group":"group-b","bake_seconds":33,"texture_pixels":4}],"maxItems":200,"minItems":0}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_rMcLIHB_ebaLsr60yf0n-","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Runs two local analytical reports on texture baking data: a date-by-category pivot table and a keyed comparison between two datasets, for up to 200 rows each.","exampleAgentPrompt":"I have two batches of texture baking records — each up to 200 rows with fields like asset_group, date, bake_seconds, and texture_pixels. Can you pivot the primary batch by date and asset group on bake_seconds, and also compare it row-by-row against the second batch?","exampleUseCases":[{"title":"Baking pipeline before/after comparison","prompt":"I ran our texture baking pipeline before and after an optimization — here are the two datasets with row_id, asset_group, date, bake_seconds, and texture_pixels. Can you compare them keyed by row and also pivot the primary batch by date and asset group on bake_seconds so I can see what changed?"},{"title":"Per-asset-group daily bake time breakdown","prompt":"I've got about 150 texture baking job records with dates, asset groups, and bake_seconds. Can you pivot them so I can see total bake time by asset group for each date, and also compare this week's data against last week's using the keyed comparison report?"},{"title":"Texture pixel output audit across two renders","prompt":"Here are two sets of texture baking logs from two different render farms — same row IDs, same asset groups, but different texture_pixels values. Run a date-by-category pivot on texture_pixels for the primary set and do a keyed comparison against the second set so I can spot discrepancies."}],"resultDescription":"Returns two structured analytical reports: (1) a date-by-category pivot table showing the selected metric (bake_seconds or texture_pixels) aggregated per date and asset_group for the primary dataset, and (2) a keyed row-by-row comparison between the primary and secondary datasets highlighting differences in the chosen metric across matching row IDs.","failureModes":["Exceeds 200-row limit — request rejected","Missing required fields (row_id, asset_group, date, bake_seconds, texture_pixels) in any row — validation error","Date strings not matching YYYY-MM-DD pattern — schema validation failure","Numeric values outside allowed range (±1,000,000,000,000) — rejection","Empty rows array — schema error","Payment of 0.01 USDC not completed via x402 protocol — 402 response"],"whenToPreferThis":"Choose this endpoint when you need both a date-by-category pivot and a keyed comparison report on texture baking data (bake_seconds, texture_pixels) in a single paid call for up to 200 rows. It is ideal for 3D/VFX pipelines where you want to audit render performance across asset groups over time and diff two production runs simultaneously. Prefer this over general analytics APIs when your data is specifically structured around texture baking fields and you want two reports bundled at $0.01 USDC.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-27T00:44:06.500Z","isFirstParty":false,"canonicalSlug":"texture-baking-analytics-date-category-pivot-keyed-dataset-comparison-0185c672"}