{"uid":"cap_Vyqt6eNdJw8HN4sUk3JlR","slug":"texture-baking-analytics-grouped-numeric-summary-date-by-category-pivot-3b095b29","name":"Texture Baking Analytics — Grouped Numeric Summary + Date by Category Pivot","description":"Texture baking — Grouped numeric summary + Date by category pivot: Grouped numeric summary + 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-10-097?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_BazVrQotWUWcfPCiLBw55","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 records: a grouped numeric summary and a date-by-category pivot for bake_seconds or texture_pixels fields.","exampleAgentPrompt":"Can you run a grouped numeric summary and a date-by-category pivot on my texture baking records? Here are up to 200 rows with fields row_id, asset_group, date, bake_seconds, and texture_pixels — use bake_seconds as the field to analyze.","exampleUseCases":[{"title":"Asset group bake time comparison","prompt":"I have 150 texture baking records with asset groups, dates, and bake_seconds values. Can you generate a grouped numeric summary and a date-by-category pivot for bake_seconds so I can see which asset groups are taking the longest?"},{"title":"Texture pixel distribution by date","prompt":"Run a grouped numeric summary and date-by-category pivot on my texture baking dataset using texture_pixels as the field — I want to see how pixel counts vary across asset groups over time."},{"title":"QA check on baking pipeline stats","prompt":"I've got 80 rows of texture baking logs with bake_seconds and texture_pixels per asset group and date. Give me both the grouped numeric summary and the date pivot for bake_seconds so I can spot any outliers in my pipeline."}],"resultDescription":"Returns two analytical reports derived entirely from the supplied data: (1) a grouped numeric summary showing statistics (count, mean, min, max, etc.) for the chosen field broken down by asset_group, and (2) a date-by-category pivot table cross-tabulating dates against asset groups for the chosen field. No external data, predictions, or live lookups are involved.","failureModes":["Fewer than 1 row supplied — validation error","More than 200 rows supplied — request rejected","Missing required fields (row_id, asset_group, date, bake_seconds, texture_pixels) — schema validation failure","Invalid date format (not YYYY-MM-DD) — pattern mismatch error","field enum value not 'bake_seconds' or 'texture_pixels' — rejected","All numeric values null for chosen field — empty or degenerate summary output"],"whenToPreferThis":"Choose this endpoint when you have texture baking records (with asset_group, date, bake_seconds, texture_pixels) and need both a grouped numeric summary and a date-by-category pivot in a single low-cost call. Ideal for offline/local analytical reporting on supplied data up to 200 rows, with no need for external lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:52:20.015Z","isFirstParty":false,"canonicalSlug":"texture-baking-analytics-grouped-numeric-summary-date-by-category-pivot-3b095b29"}