{"uid":"cap_I_U6hW2zRy2GGdEysTjLs","slug":"texture-baking-analytics-category-frequencies-daily-sum-series-2aebd86d","name":"Texture Baking Analytics — Category Frequencies + Daily Sum Series","description":"Texture baking — Category frequencies + Daily sum series: Category frequencies + Daily sum 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-10-102?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_AXN6s1iuef4fPTK9MUsti","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":"Analyzes texture baking records to produce category frequency distributions and daily sum time-series reports for bake_seconds or texture_pixels fields.","exampleAgentPrompt":"I have a batch of texture baking records with asset groups like 'environment' and 'character', dates, bake_seconds, and texture_pixels — can you run a category frequency breakdown and a daily sum series on the bake_seconds field for up to 200 rows?","exampleUseCases":[{"title":"Asset group workload distribution analysis","prompt":"I have 150 rows of texture baking data with asset groups like 'props', 'environment', and 'characters' across several dates — can you show me how frequently each group appears and also give me daily totals of bake_seconds?"},{"title":"Daily texture pixel output tracking","prompt":"Here are my texture baking records from the past month. I want to see the category frequency breakdown by asset group and the daily sum series for texture_pixels so I can spot any days where output spiked."},{"title":"Pipeline audit for bake duration patterns","prompt":"I need two quick reports on my baking pipeline data: how often each asset_group shows up, and what the daily total bake_seconds look like over time — I have about 80 rows to analyze, field should be bake_seconds."}],"resultDescription":"Returns two analytical reports: (1) a category frequency table showing how often each asset_group value appears in the submitted rows, and (2) a daily sum time-series aggregating the chosen numeric field (bake_seconds or texture_pixels) by date. Both reports are computed locally from the submitted data with no external lookups.","failureModes":["Missing required fields (row_id, date, asset_group, bake_seconds, texture_pixels) cause validation errors","Date values not matching YYYY-MM-DD pattern are rejected","Submitting more than 200 rows exceeds the row limit","Null numeric values for the selected field may result in incomplete daily sums","Empty rows array is rejected (minItems: 1)","Invalid field enum value (not 'bake_seconds' or 'texture_pixels') causes schema error"],"whenToPreferThis":"Choose this endpoint when you have texture baking pipeline data (with asset groups, dates, and numeric bake metrics) and need both a categorical frequency breakdown and a daily aggregated time series in a single low-cost call. It is ideal for 3D rendering or game asset pipelines where you want to audit workload distribution and track output trends without external data dependencies. Prefer it over general-purpose analytics when your data conforms to the bake_seconds/texture_pixels schema.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-27T06:54:28.571Z","isFirstParty":false,"canonicalSlug":"texture-baking-analytics-category-frequencies-daily-sum-series-2aebd86d"}