{"uid":"cap_8nZmQe_c8z5wvV0sQL-s8","slug":"texture-baking-analytics-weighted-mean-dataset-comparison-ff66b45a","name":"Texture Baking Analytics — Weighted Mean & Dataset Comparison","description":"Texture baking — Secondary-measure weighted mean + Keyed dataset comparison: Secondary-measure weighted mean + Keyed dataset comparison 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-10-186?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"asset_group":{"type":"string","default":"","maxLength":80},"bake_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"texture_pixels":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","asset_group":"group-a","bake_seconds":10,"texture_pixels":1},{"date":"2026-10-02","row_id":"row-2","asset_group":"group-b","bake_seconds":20,"texture_pixels":2},{"date":"2026-10-03","row_id":"row-3","asset_group":"group-a","bake_seconds":15,"texture_pixels":3},{"date":"2026-10-04","row_id":"row-4","asset_group":"group-b","bake_seconds":30,"texture_pixels":4}],"maxItems":200,"minItems":1},"field":{"enum":["bake_seconds","texture_pixels"],"type":"string","default":"bake_seconds"},"other":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","bake_seconds","texture_pixels"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21,"texture_pixels":2},{"date":"2026-10-03","row_id":"row-3","asset_group":"group-a","bake_seconds":17,"texture_pixels":3},{"date":"2026-10-04","row_id":"row-4","asset_group":"group-b","bake_seconds":33,"texture_pixels":4}],"maxItems":200,"minItems":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_P33RmTm3gzHhSnrSbPmff","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 secondary-measure weighted mean and performs keyed dataset comparison for texture baking records (bake_seconds, texture_pixels) across up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"I have two sets of texture baking records for my 3D assets — can you compute the weighted mean of bake_seconds using texture_pixels as the secondary measure, and also compare the two datasets keyed by row ID? Here's dataset A: group-a had row-1 on 2026-10-01 with 10 bake_seconds and 1 texture_pixel, row-3 on 2026-10-03 with 15 bake_seconds and 3 texture_pixels; group-b had row-2 on 2026-10-02 with 20 bake_seconds and 2 texture_pixels, row-4 on 2026-10-04 with 30 bake_seconds and 4 texture_pixels. Dataset B is similar but with slightly different bake times.","exampleUseCases":[{"title":"Weighted bake time analysis for render farm","prompt":"I've got 150 texture baking records from our render farm across two asset groups — can you calculate the weighted mean of bake_seconds using texture_pixels as the weight, so I know which jobs are genuinely slow relative to their texture complexity?"},{"title":"Comparing texture baking before and after optimization","prompt":"We ran texture baking on the same assets before and after a pipeline optimization. Can you compare the two datasets keyed by row ID and tell me the weighted mean difference in bake_seconds, so I can see if the optimization actually helped?"},{"title":"Asset group bake performance audit","prompt":"I need to audit texture baking performance across our two main asset groups — group-a and group-b — using about 80 rows of baking records. Can you compute a weighted mean for texture_pixels and do a keyed comparison between last month's and this month's bake data?"}],"resultDescription":"Returns two analytical reports: (1) a secondary-measure weighted mean of the selected field (bake_seconds or texture_pixels) using the other measure as weights, and (2) a keyed dataset comparison between the two supplied row sets, highlighting differences by row_id and asset_group. No external data is fetched; all computation uses supplied rows only.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, asset_group, date, bake_seconds, texture_pixels) causes rejection","Invalid date format (not YYYY-MM-DD) fails schema validation","Null values in the weight field may affect weighted mean accuracy","Mismatched row_ids between primary and comparison datasets reduces comparison coverage"],"whenToPreferThis":"Choose this endpoint when you need both a weighted mean computation and a keyed dataset comparison for texture baking data in a single call at minimal cost ($0.01 USDC for both reports). Ideal for 3D pipeline teams comparing render job performance across asset groups without needing real-time data, external lookups, or predictive modeling.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:42:52.345Z","isFirstParty":false,"canonicalSlug":"texture-baking-analytics-weighted-mean-dataset-comparison-ff66b45a"}