{"uid":"cap_li2YNUew8JDauDDKF3yg3","slug":"texture-baking-analytics-category-frequencies-trailing-mean-series-269e83e7","name":"Texture Baking Analytics — Category Frequencies & Trailing Mean Series","description":"Texture baking — Category frequencies + Trailing mean series: Category frequencies + Trailing mean series 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-10-103?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_8b6GhfVbNkeN8oTAoUcOz","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 category frequency distribution and trailing mean time series for texture baking records (bake_seconds, texture_pixels) from up to 200 supplied rows.","exampleAgentPrompt":"Analyze my texture baking records for me — I have about 50 rows with bake_seconds and texture_pixels across two asset groups, and I want both a category frequency breakdown by asset_group and a trailing mean series for bake_seconds using a window of 5.","exampleUseCases":[{"title":"Asset group frequency audit","prompt":"I have 120 texture baking log entries with bake_seconds and texture_pixels, split across groups like 'characters', 'environments', and 'props' — can you give me a frequency breakdown showing how often each asset_group appears and a rolling mean of bake_seconds with a window of 10?"},{"title":"Bake time performance trend","prompt":"Here are 80 rows of daily texture baking records. I want to see how texture_pixels values trend over time using a trailing mean with a window of 7, plus how the category frequencies break down across asset groups."},{"title":"Pipeline QA statistical report","prompt":"Run a statistical analysis on these 200 texture baking records — I need category frequencies for asset_group and a trailing mean series for bake_seconds with window size 4, so I can identify which groups are dominating the pipeline and where bake times are spiking."}],"resultDescription":"Two analytical reports: (1) a category frequency table showing how often each asset_group value appears in the dataset, and (2) a trailing mean time series for the selected field (bake_seconds or texture_pixels) computed over the specified rolling window across the supplied rows.","failureModes":["Fewer than 1 row supplied — minimum row count not met","More than 200 rows submitted — exceeds maximum row limit","Invalid date format (must match YYYY-MM-DD pattern)","Missing required fields row_id, asset_group, date, bake_seconds, or texture_pixels in any row","Window size outside allowed range of 2–200","Field value not one of the allowed enum values: bake_seconds or texture_pixels","Payment not provided or insufficient USDC — x402 payment required"],"whenToPreferThis":"Choose this endpoint when you have texture baking pipeline records and need both a categorical frequency distribution and a rolling mean time series in a single low-cost call. It is best suited for offline/batch analysis of up to 200 rows of bake_seconds and texture_pixels data where no live lookup or external prediction is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T18:56:46.034Z","isFirstParty":false,"canonicalSlug":"texture-baking-analytics-category-frequencies-trailing-mean-series-269e83e7"}