{"uid":"cap_aZaoq0LL0wymEe2clGXwC","slug":"texture-baking-analytics-base-100-series-two-measure-correlation-ef2262da","name":"Texture Baking Analytics — Base-100 Series + Two-Measure Correlation","description":"Texture baking — Base-100 series + Two-measure correlation: Base-100 series + 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-10-165?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_TMZ8_cO7EoPR4GSqaqjAN","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 a base-100 indexed time series and a two-measure correlation report for supplied texture baking data (bake_seconds and texture_pixels) across up to 200 rows.","exampleAgentPrompt":"Can you run a base-100 index series and a two-measure correlation on these texture baking records — I have 4 rows with bake_seconds and texture_pixels for groups A and B from October 2026, and I want to use row index 0 as the base, indexing on bake_seconds?","exampleUseCases":[{"title":"Comparing baking efficiency across asset groups","prompt":"I have texture baking logs for two asset groups over the past month — each row has bake_seconds and texture_pixels. Can you index bake_seconds to a base-100 series starting at row 0 and also show me the correlation between bake_seconds and texture_pixels across all the rows?"},{"title":"Tracking normalized pixel output over time","prompt":"I want to see how texture_pixels have changed relative to my first bake session — can you create a base-100 index series using texture_pixels as the field, starting from row index 0, for these 50 baking records?"},{"title":"Validating bake time vs texture quality relationship","prompt":"I've got around 150 texture baking records with bake_seconds and texture_pixels. Can you run both a base-100 normalization (indexed on bake_seconds from row 0) and a correlation report between the two measures so I can see whether longer bakes produce more pixels?"}],"resultDescription":"Returns two analytical reports: (1) a base-100 indexed time series for the chosen field (bake_seconds or texture_pixels) normalized to the specified base row, and (2) a Pearson or equivalent correlation between bake_seconds and texture_pixels across all supplied rows. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["More than 200 rows supplied — request rejected or truncated","Missing required fields (row_id, bake_seconds, texture_pixels) — validation error","base_index out of range for supplied row count — error returned","Non-numeric values in bake_seconds or texture_pixels — computation failure","Invalid date format (not YYYY-MM-DD) — schema validation error"],"whenToPreferThis":"Choose this endpoint when you have texture baking pipeline data (bake_seconds and texture_pixels per row) and need both a normalized base-100 time series and a two-measure correlation in a single low-cost call. Ideal for 3D asset pipeline analytics where you want to track baking performance over time relative to a reference point and understand the relationship between baking duration and output texture size, without needing external data sources or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:20.644Z","isFirstParty":false,"canonicalSlug":"texture-baking-analytics-base-100-series-two-measure-correlation-ef2262da"}