{"uid":"cap_6QEl0lQ8OE12EmczRwxVF","slug":"texture-baking-analytics-category-frequencies-two-measure-correlation-a65940fb","name":"Texture Baking Analytics — Category Frequencies + Two-Measure Correlation","description":"Texture baking — Category frequencies + Two-measure correlation: Category frequencies + Two-measure correlation 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-10-108?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}}},"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_fNO3EHjGJhelEjXcgsIyH","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 counts and Pearson/Spearman correlation between bake_seconds and texture_pixels for up to 200 supplied texture baking records.","exampleAgentPrompt":"Analyze my texture baking records and give me two reports: how often each asset group appears, and the correlation between bake_seconds and texture_pixels. Here are my rows: row-1 (group-a, 2026-10-01, 120 seconds, 4096 pixels), row-2 (group-b, 2026-10-02, 240 seconds, 8192 pixels), row-3 (group-a, 2026-10-03, 90 seconds, 2048 pixels).","exampleUseCases":[{"title":"Asset group frequency audit","prompt":"I have 50 texture baking jobs across groups 'characters', 'environments', and 'props' — can you tell me how frequently each group appears and whether bake time and texture pixel count are correlated?"},{"title":"Pipeline bottleneck correlation check","prompt":"We're trying to figure out if longer bake times in our texture pipeline actually produce higher-resolution textures. Can you run a category frequency report and a correlation analysis on these bake_seconds and texture_pixels records for our asset batches?"},{"title":"Game studio batch QA summary","prompt":"Before we ship this build, I need a quick statistical summary of our texture baking data — specifically the distribution across asset groups and how closely bake duration correlates with pixel output. I've got about 180 rows to analyze."}],"resultDescription":"Two analytical reports: (1) a category frequency table showing how many records belong to each asset_group value, and (2) a two-measure correlation report quantifying the statistical relationship between bake_seconds and texture_pixels across the supplied rows. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Input array exceeds 200 rows — request will be rejected or truncated","Missing required fields (row_id, bake_seconds, texture_pixels) cause row-level errors","Null values in bake_seconds or texture_pixels may reduce correlation sample size","Date strings not matching YYYY-MM-DD pattern will fail schema validation","Sending fewer than 2 rows may produce degenerate or undefined correlation results"],"whenToPreferThis":"Choose this endpoint when you have tabular texture baking records with categorical grouping and two numeric measures, and you need both a frequency distribution and a correlation statistic in a single cheap call ($0.01 USDC). It is self-contained (no external data sources) and deterministic, making it ideal for repeatable pipeline QA, batch audits, or exploratory analysis of asset baking logs without needing a full analytics platform.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T06:50:14.650Z","isFirstParty":false,"canonicalSlug":"texture-baking-analytics-category-frequencies-two-measure-correlation-a65940fb"}