{"uid":"cap_kFvMlGm_EbhKfqiPqHXun","slug":"texture-baking-analytics-daily-sum-series-date-by-category-pivot-2e163584","name":"Texture Baking Analytics — Daily Sum Series + Date by Category Pivot","description":"Texture baking — Daily sum series + Date by category pivot: Daily sum series + Date by category pivot 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-10-143?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"}}},"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_QWefnlKjKwnYu8_mkoBdd","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":"Computes two analytical reports (daily sum time series and date-by-category pivot table) from supplied texture baking records (bake_seconds, texture_pixels) for up to 200 rows.","exampleAgentPrompt":"Can you run a daily sum series and date-by-category pivot on these texture baking records? I have 4 rows with asset groups 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, and I want the analysis on bake_seconds.","exampleUseCases":[{"title":"Daily bake time trend for render pipeline","prompt":"I have a list of texture baking jobs from last month with dates, asset groups, and bake_seconds. Can you show me the daily totals as a time series and also pivot them by asset group so I can see which groups consumed the most baking time each day?"},{"title":"Texture pixel volume breakdown by category","prompt":"Here are 150 texture baking records with row IDs, dates, asset groups, and texture_pixels values. Give me a daily sum series and a date-by-category pivot table for texture_pixels so I can spot which asset groups are producing the most pixels per day."},{"title":"QA audit of baking workload distribution","prompt":"I need to audit our texture baking workload across different asset groups for the past sprint. Can you take these baking records and compute both a daily sum time series and a pivot table of bake_seconds by date and asset group?"}],"resultDescription":"Returns two analytical reports: (1) a daily sum time series showing total values of the selected field (bake_seconds or texture_pixels) aggregated per date, and (2) a date-by-category pivot table breaking down those totals by asset_group across dates. Both reports are derived entirely from the supplied input rows (up to 200) with no external data or predictions.","failureModes":["Fewer than 1 row supplied — minimum row count not met","More than 200 rows supplied — exceeds maximum row count limit","Invalid date format (not YYYY-MM-DD) — pattern validation failure","Missing required fields (row_id, asset_group, date, bake_seconds, texture_pixels) on any row","Invalid field enum value (must be 'bake_seconds' or 'texture_pixels')","Payment of 0.01 USDC not completed — x402 payment required before response","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)"],"whenToPreferThis":"Choose this endpoint when you have raw texture baking records (up to 200 rows) and need both a daily aggregated time series and a cross-tabulated category pivot in a single low-cost call. It is ideal for 3D pipeline analytics, render farm reporting, or asset group performance audits where you supply your own data and need fast offline computation without any external lookup or prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T18:55:02.192Z","isFirstParty":false,"canonicalSlug":"texture-baking-analytics-daily-sum-series-date-by-category-pivot-2e163584"}