{"uid":"cap_WtTy88IcwUEb_csopmH9C","slug":"texture-baking-analytics-adjacent-row-changes-two-measure-correlation-1be3f248","name":"Texture Baking Analytics — Adjacent Row Changes + Two-Measure Correlation","description":"Texture baking — Adjacent row changes + Two-measure correlation: Adjacent row changes + Two-measure correlation 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-10-158?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_BidtN52Vf6KZ8ZXXHahBs","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 adjacent row change analysis and two-measure correlation for texture baking records (bake_seconds, texture_pixels) using local analytical engines, returning two reports for up to 200 rows.","exampleAgentPrompt":"Analyze my texture baking records for adjacent row changes and the correlation between bake_seconds and texture_pixels — I have about 50 rows with dates, row IDs, asset groups, bake_seconds, and texture_pixels values, and I want both reports on bake_seconds.","exampleUseCases":[{"title":"Pipeline efficiency trend audit","prompt":"I've got 120 rows of texture baking logs across two asset groups, each with a date, row ID, bake_seconds, and texture_pixels. Can you run adjacent row change analysis and the two-measure correlation on bake_seconds so I can see if there's a trend in our render times?"},{"title":"Correlation check between bake time and resolution","prompt":"I want to know if bake_seconds and texture_pixels are correlated in my texture baking dataset — I have 80 records with dates and asset group labels. Run the adjacent row changes and two-measure correlation reports on texture_pixels for me."},{"title":"Quality review of baking records across asset groups","prompt":"We have two asset groups' worth of texture baking data — about 40 rows total with bake_seconds and texture_pixels per row. Run the adjacent row change and correlation analysis using bake_seconds as the primary field so we can review baking consistency."}],"resultDescription":"Returns two analytical reports: (1) an adjacent row changes report showing differences between consecutive rows for the selected field (bake_seconds or texture_pixels), and (2) a two-measure correlation report quantifying the statistical relationship between bake_seconds and texture_pixels across the supplied rows. All computation is performed locally with no external lookups. Up to 200 rows supported.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, bake_seconds, texture_pixels) cause schema rejection","Invalid date format (non-YYYY-MM-DD) triggers pattern validation failure","Null values in both numeric fields may degrade correlation quality","Fewer than 2 rows may produce degenerate or empty adjacent-change results","Invalid field enum value (not bake_seconds or texture_pixels) returns an error"],"whenToPreferThis":"Choose this endpoint when you have structured texture baking records (up to 200 rows) and need both sequential row-change analysis and a cross-measure correlation between bake_seconds and texture_pixels in a single low-cost call. Prefer it over generic statistics APIs when your data is natively organized by asset_group and date in the texture baking domain, and you need two distinct analytical views bundled together for $0.01 USDC.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T06:50:21.559Z","isFirstParty":false,"canonicalSlug":"texture-baking-analytics-adjacent-row-changes-two-measure-correlation-1be3f248"}