{"uid":"cap_P7DOgfJHbBcBK1YWShmsH","slug":"texture-baking-analytics-numeric-interval-filter-secondary-measure-b9842699","name":"Texture Baking Analytics — Numeric Interval Filter + Secondary-Measure Weighted Mean","description":"Texture baking — Numeric interval filter + Secondary-measure weighted mean: Numeric interval filter + 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-10-132?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_A-3jk-amg6w6M3FEjCnHx","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":"Filters texture baking records by a numeric interval on a chosen field and computes a weighted mean of a secondary measure, delivering two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have 150 rows of texture baking records with bake_seconds and texture_pixels — can you filter them to only rows where bake_seconds is between 10 and 500, and compute the weighted mean of texture_pixels across those filtered records?","exampleUseCases":[{"title":"3D Studio Bake Performance Review","prompt":"Here are my texture baking logs for October with bake_seconds and texture_pixels per asset group — filter to only rows where bake_seconds is between 5 and 300, then give me a weighted mean of texture_pixels so I can see which assets are heaviest."},{"title":"Pixel Budget Compliance Check","prompt":"I've got 80 rows of baking data and I need to filter by texture_pixels between 512 and 4096, then compute the weighted mean of bake_seconds for those rows — can you run both reports at once?"},{"title":"Outlier Exclusion Before Pipeline Hand-off","prompt":"Before I send these baking records to the pipeline, filter out anything where bake_seconds is outside the 20 to 250 range and give me the weighted mean of bake_seconds for the remaining records across my asset groups."}],"resultDescription":"Returns two analytical reports: one applying the numeric interval filter to the chosen field (bake_seconds or texture_pixels) across up to 200 supplied rows, and one computing the weighted mean of the secondary measure for those records, all computed locally without external lookups.","failureModes":["More than 200 rows submitted — request rejected or truncated","Invalid date format (not YYYY-MM-DD) causes row validation failure","Minimum value greater than maximum value produces empty filtered result set","Missing required fields (row_id, bake_seconds, texture_pixels) cause schema validation errors","Null values in the filter field may be excluded silently from interval computation"],"whenToPreferThis":"Choose this endpoint when you have up to 200 texture baking records and need both a numeric interval filter on bake_seconds or texture_pixels AND a weighted mean of the secondary measure in a single low-cost call ($0.01 USDC). It is best suited for offline/batch analytical summaries of 3D rendering pipeline data where no live lookup or external enrichment is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-27T00:44:36.995Z","isFirstParty":false,"canonicalSlug":"texture-baking-analytics-numeric-interval-filter-secondary-measure-b9842699"}