{"uid":"cap_HHr7jriIS7HO8BNgTWTog","slug":"texture-baking-analytics-category-frequencies-adjacent-row-changes-2bceeaa0","name":"Texture Baking Analytics — Category Frequencies + Adjacent Row Changes","description":"Texture baking — Category frequencies + Adjacent row changes: Category frequencies + Adjacent row changes 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-10-104?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_BdVAZc3dKZAVBAY2MVnK_","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 category frequency distributions and adjacent-row delta changes for texture baking records (bake_seconds, texture_pixels) across up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"Analyze my texture baking records and give me both a category frequency breakdown by asset group and the adjacent row changes for bake_seconds — here are my 4 rows: row-1 on 2026-10-01 group-a with 10 bake seconds and 1 texture pixel, row-2 on 2026-10-02 group-b with 20 bake seconds and 2 pixels, row-3 on 2026-10-03 group-a with 15 seconds and 3 pixels, row-4 on 2026-10-04 group-b with 30 seconds and 4 pixels.","exampleUseCases":[{"title":"Asset group frequency audit","prompt":"I have 50 texture baking records across different asset groups and I want to know how frequently each group appears and what the row-to-row changes look like for texture_pixels — can you run both reports on my data?"},{"title":"Bake time delta analysis","prompt":"Can you analyze these 20 texture baking rows and show me category frequencies by asset group plus the adjacent row changes for bake_seconds so I can spot outliers in the sequence?"},{"title":"Rendering pipeline QA review","prompt":"I need to validate my texture baking pipeline data — please compute the category frequency breakdown and the adjacent row differences for bake_seconds across these 100 rows from our October renders."}],"resultDescription":"Returns two analytical reports: (1) a category frequency table showing how often each asset_group value appears in the supplied rows, and (2) an adjacent row changes report showing sequential delta values between consecutive rows for the selected numeric field (bake_seconds or texture_pixels). Both reports are computed locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, asset_group, date, bake_seconds, texture_pixels) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Field selector not one of bake_seconds or texture_pixels — enum validation error","Empty rows array — minimum items constraint violation","Non-numeric values in numeric fields — type error"],"whenToPreferThis":"Choose this endpoint when you have texture baking records with bake_seconds and texture_pixels measurements and need both a categorical frequency breakdown by asset group AND sequential delta analysis between consecutive rows in a single $0.01 call. Ideal for 3D rendering pipeline monitoring, asset group distribution analysis, or QA workflows where you want two complementary statistical views of the same dataset without any external data enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:42:31.373Z","isFirstParty":false,"canonicalSlug":"texture-baking-analytics-category-frequencies-adjacent-row-changes-2bceeaa0"}