{"uid":"cap_zaYshqsRkjZoI_It8yri8","slug":"texture-baking-date-by-category-pivot-missing-value-fill-683c60e0","name":"Texture Baking Date-by-Category Pivot + Missing Value Fill","description":"Texture baking — Date by category pivot + Explicit missing-value fill: Date by category pivot + Explicit missing-value fill 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-10-189?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_AfwpXAbd_WS3Umc2KZELZ","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":"Pivots texture baking records by date and asset group category, then fills missing values using a chosen method (zero, mean, or median), returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have texture baking records for two asset groups across several dates — can you pivot the bake_seconds field by date and category, and fill any missing values using median? Here are up to 200 rows with row_id, asset_group, date, bake_seconds, and texture_pixels fields.","exampleUseCases":[{"title":"Bake time analysis across asset groups","prompt":"I've got a list of texture baking jobs with dates and asset group names, and I want to see how bake_seconds breaks down in a date-by-category pivot table — please fill any gaps using the median value. I have about 150 rows to analyze."},{"title":"Null-safe texture pixel reporting","prompt":"My texture pipeline logs have some missing texture_pixels entries — can you pivot the data by date and asset group and fill those missing spots with zeros so I can see the full picture across all groups and dates?"},{"title":"Daily baking performance summary","prompt":"We track render farm output in rows with date, asset_group, bake_seconds, and texture_pixels. Can you give me two reports — one that pivots by date and category using mean fill for any missing bake_seconds values? I have around 80 rows of data."}],"resultDescription":"Two analytical reports: (1) a date-by-category pivot table for the selected metric field (bake_seconds or texture_pixels), and (2) an explicit missing-value fill report where nulls are replaced with the chosen method (zero, mean, or median). Both reports are computed locally on the supplied rows (up to 200).","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows submitted — exceeds maximum","Invalid date format (not YYYY-MM-DD) — schema validation error","Missing required fields (row_id, asset_group, date) — validation failure","Unknown fill method or field enum value — rejected","All values null for a category — fill may produce zero or NaN depending on method"],"whenToPreferThis":"Choose this endpoint when you have tabular texture baking records with date and asset group dimensions and need both a date-by-category pivot and a missing-value-filled dataset in one call. It is purpose-built for 3D pipeline analytics where bake_seconds and texture_pixels are the core metrics. Prefer it over generic analytics tools when you need a low-cost ($0.01), self-contained, offline computation requiring no external data access.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-27T00:44:50.305Z","isFirstParty":false,"canonicalSlug":"texture-baking-date-by-category-pivot-missing-value-fill-683c60e0"}