{"uid":"cap_xTFDYfVjSHuumbYOILFvC","slug":"texture-baking-analytics-string-normalisation-date-by-category-pivot-2065e179","name":"Texture Baking Analytics: String Normalisation + Date-by-Category Pivot","description":"Texture baking — String normalisation + Date by category pivot: String normalisation + 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-10-035?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_Q2ULbD1U3fhF2ArndZiNT","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 supplied texture baking records: string normalisation of asset group labels and a date-by-category pivot table for bake_seconds or texture_pixels.","exampleAgentPrompt":"I have 4 rows of texture baking data — row-1 through row-4 across group-a and group-b, dated 2026-10-01 to 2026-10-04, with bake_seconds of 10, 20, 15, 30 and texture_pixels of 1, 2, 3, 4 — can you run a string normalisation and a date-by-category pivot on bake_seconds for me?","exampleUseCases":[{"title":"Bake time pivot by asset group","prompt":"I've got 50 rows of texture baking records with asset groups and dates — can you pivot bake_seconds by date and category so I can see which groups are taking the most time each day?"},{"title":"Normalise messy asset group labels","prompt":"My texture baking dataset has inconsistent asset_group strings like 'Group-A', 'group_a', 'GROUP A' — can you run string normalisation on my 80 rows so they're consistent?"},{"title":"Pixel count summary by category","prompt":"Here are 120 rows of baking data with texture_pixels per asset group — can you generate the date-by-category pivot on texture_pixels so I can see pixel totals broken down by group and date?"}],"resultDescription":"Two analytical reports derived from the supplied rows: (1) a string-normalised view of asset_group labels, and (2) a date-by-category pivot table showing the selected metric (bake_seconds or texture_pixels) aggregated by date and asset_group. No external lookups or predictions are made; all computation is local to the engine.","failureModes":["More than 200 rows submitted — request rejected due to row limit","Missing required fields (row_id, date, asset_group) on any row — validation error","Invalid date format (not YYYY-MM-DD) — pattern mismatch error","Invalid field enum value (not bake_seconds or texture_pixels) — schema rejection","All numeric values null — pivot may return empty or null aggregates"],"whenToPreferThis":"Use this endpoint when you have up to 200 texture baking records and need both a string normalisation pass on asset group labels and a date-pivoted aggregation of a numeric baking metric in a single low-cost call. It is ideal for offline/batch analytical reporting on supplied data without requiring any live data lookup, prediction, or external integrations.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:10.375Z","isFirstParty":false,"canonicalSlug":"texture-baking-analytics-string-normalisation-date-by-category-pivot-2065e179"}