{"uid":"cap_5GJyDzoClrSbuhxHlaPgE","slug":"texture-baking-analytics-category-frequencies-base-100-series-548c09e4","name":"Texture Baking Analytics — Category Frequencies + Base-100 Series","description":"Texture baking — Category frequencies + Base-100 series: Category frequencies + Base-100 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-10-105?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":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_78kkz4FQl4f3yuaEHcno6","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 a base-100 indexed series for supplied texture baking records (bake_seconds or texture_pixels), returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have 150 texture baking records with bake_seconds and texture_pixels per asset group — can you run a category frequency report and a base-100 index series on bake_seconds, using row index 0 as the base?","exampleUseCases":[{"title":"Texture pipeline performance benchmarking","prompt":"I've got 80 texture baking jobs across two asset groups — can you give me a frequency breakdown of how often each group appears and index the bake_seconds values to base-100 starting from the first row?"},{"title":"Pixel count distribution analysis","prompt":"Here are 120 rows of texture baking data. I want to analyze texture_pixels — show me the category frequencies by asset_group and a base-100 series using row 5 as the reference point."},{"title":"Render farm audit by asset group","prompt":"Can you run category frequency and base-100 series reports on these 200 texture baking records? Use bake_seconds as the field and index everything relative to row 0 so I can see which asset groups dominate and how bake times scale."}],"resultDescription":"Returns two analytical reports: (1) a category frequency table showing how often each asset_group appears in the supplied rows, and (2) a base-100 indexed series for the selected numeric field (bake_seconds or texture_pixels), normalized relative to the specified base_index row. Both reports are computed locally from the submitted data with no external lookups.","failureModes":["Submitting more than 200 rows returns a validation error","Missing required row fields (row_id, date, bake_seconds, texture_pixels) causes rejection","Invalid date format (not YYYY-MM-DD) fails pattern validation","base_index out of range (>=200 or negative) is rejected","Null values in the selected field may produce incomplete index series","Empty rows array is rejected (minItems: 1)"],"whenToPreferThis":"Choose this endpoint when you have texture baking production data (bake_seconds, texture_pixels) organized by asset_group and need both a categorical frequency breakdown and a normalized base-100 trend series in a single low-cost call. Ideal for small-to-medium datasets (up to 200 rows) where no external data enrichment or live lookup is needed — purely analytical computation on submitted records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-27T00:44:25.900Z","isFirstParty":false,"canonicalSlug":"texture-baking-analytics-category-frequencies-base-100-series-548c09e4"}