{"uid":"cap__7-017gBRYLtEqKFr3OQ4","slug":"texture-baking-analytics-two-measure-correlation-secondary-measure-824dcb2e","name":"Texture Baking Analytics — Two-Measure Correlation + Secondary-Measure Weighted Mean","description":"Texture baking — Two-measure correlation + Secondary-measure weighted mean: Two-measure correlation + Secondary-measure weighted mean 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-10-181?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_6LdQEzr35ZXMWeOJdQlj-","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 Pearson correlation between bake_seconds and texture_pixels, plus a weighted mean of a chosen secondary measure, for up to 200 texture baking records.","exampleAgentPrompt":"Can you run a two-measure correlation between bake_seconds and texture_pixels, plus a weighted mean of bake_seconds, for these texture baking records: row-1 (group-a, 2026-10-01, 10s, 1px), row-2 (group-b, 2026-10-02, 20s, 2px), row-3 (group-a, 2026-10-03, 15s, 3px)?","exampleUseCases":[{"title":"Optimize 3D asset baking pipeline","prompt":"I have 50 texture baking jobs with bake_seconds and texture_pixels logged — can you calculate the correlation between bake time and texture size, and also give me the weighted mean of bake_seconds across those rows?"},{"title":"Compare bake metrics across asset groups","prompt":"We have two asset groups, group-a and group-b, with texture baking data for the past month. Can you run a correlation report between bake_seconds and texture_pixels, and compute a weighted mean of texture_pixels for all 120 rows?"},{"title":"QA check on texture baking job outputs","prompt":"After our baking run, I've got 80 rows of bake_seconds and texture_pixels data. Can you compute the two-measure correlation and secondary-measure weighted mean so I can see if longer bakes are producing larger textures as expected?"}],"resultDescription":"Returns two analytical reports: (1) a Pearson correlation coefficient between bake_seconds and texture_pixels across the supplied rows, and (2) a weighted mean of the specified secondary measure (bake_seconds or texture_pixels). Results are computed locally using shared analytical engines with no external lookups or predictions.","failureModes":["Exceeds 200 row limit — request rejected","Missing required fields (row_id, bake_seconds, texture_pixels, date) — validation error","Null values in numeric fields may affect correlation computation","Invalid date format (must be YYYY-MM-DD) — schema validation failure","Invalid field enum value — rejected with schema error"],"whenToPreferThis":"Choose this endpoint when you have texture baking records (bake_seconds, texture_pixels) and need both a two-measure statistical correlation and a secondary-measure weighted mean in a single cheap call. It is purpose-built for 3D pipeline analytics on batches up to 200 rows, with no external dependencies, making it reliable, fast, and cost-effective at $0.01 USDC for both reports.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:05.442Z","isFirstParty":false,"canonicalSlug":"texture-baking-analytics-two-measure-correlation-secondary-measure-824dcb2e"}