{"uid":"cap_ZS26XjZhMwy2vvKMEsJTi","slug":"texture-baking-analytics-category-frequencies-explicit-missing-value-c885e8aa","name":"Texture Baking Analytics — Category Frequencies + Explicit Missing-Value Fill","description":"Texture baking — Category frequencies + Explicit missing-value fill: Category frequencies + Explicit missing-value fill 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-10-112?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_iVUpVCBlqapGhy5PH_Ui-","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 distributions and fills missing values (zero/mean/median) for texture baking records (bake_seconds, texture_pixels) across up to 200 rows.","exampleAgentPrompt":"I have up to 200 texture baking records with bake_seconds and texture_pixels fields — can you run a category frequency report on asset_group and fill any missing bake_seconds values using the median method?","exampleUseCases":[{"title":"Missing bake time imputation for pipeline","prompt":"I have a batch of texture baking job records and some bake_seconds values are null — fill them in using the median of the available values and show me the category frequency breakdown by asset_group."},{"title":"Pixel count frequency analysis by group","prompt":"Can you analyze my texture baking dataset and give me a frequency distribution of asset groups along with explicit fills for any missing texture_pixels values, using zero as the fill method?"},{"title":"QA check on baking record completeness","prompt":"I want to QA my texture baking records — run category frequencies on the asset_group column and use mean imputation to fill any missing bake_seconds so I can see where the gaps are."}],"resultDescription":"Returns two analytical reports: (1) a category frequency distribution showing how often each asset_group appears in the supplied rows, and (2) an explicit missing-value fill report for the selected field (bake_seconds or texture_pixels) using the chosen method (zero, mean, or median), covering up to 200 input rows.","failureModes":["Exceeding 200 rows returns a validation error","Invalid date format (not YYYY-MM-DD) causes row rejection","Null or missing row_id results in schema validation failure","Numeric values outside ±1,000,000,000,000 are rejected","Invalid enum value for field or method causes request failure","Empty rows array is rejected (minItems: 1)"],"whenToPreferThis":"Choose this endpoint when you have texture baking records (bake_seconds, texture_pixels) and need both a category frequency analysis and explicit missing-value imputation in a single low-cost call ($0.01 USDC). It is ideal for offline/batch analytical preprocessing of up to 200 rows without any external lookups or live data requirements.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:48:50.829Z","isFirstParty":false,"canonicalSlug":"texture-baking-analytics-category-frequencies-explicit-missing-value-c885e8aa"}