{"uid":"cap_exBjPYFeWL9zjQUULXQ5S","slug":"texture-baking-analytics-grouped-numeric-summary-category-frequencies-31d2c32a","name":"Texture Baking Analytics — Grouped Numeric Summary + Category Frequencies","description":"Texture baking — Grouped numeric summary + Category frequencies: Grouped numeric summary + Category frequencies 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-10-086?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_6RfPGQjqTMj9GGawc7fva","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 grouped numeric summary statistics and category frequency distributions for texture baking records (bake_seconds, texture_pixels) across up to 200 rows.","exampleAgentPrompt":"I have texture baking records for two asset groups — group-a and group-b — with bake_seconds and texture_pixels logged per row. Can you run grouped numeric summaries and category frequency counts on this dataset of 8 rows, analyzing the bake_seconds field?","exampleUseCases":[{"title":"3D asset pipeline performance review","prompt":"Here are 50 texture baking records from our rendering pipeline across four asset groups. Can you give me grouped numeric summaries and category frequency counts for the bake_seconds field so I can see which groups are slowest?"},{"title":"Texture resolution distribution analysis","prompt":"I've got a batch of 120 texture baking log entries with asset groups and texture_pixels values. Run grouped summary stats and category frequency reports on the texture_pixels field so I can understand how resolution is distributed across groups."},{"title":"QA audit of bake job records","prompt":"We need a quick statistical breakdown of these 80 bake job records — grouped numeric summary and category frequencies for bake_seconds — to audit consistency across our asset groups before the release build."}],"resultDescription":"Returns two analytical reports: (1) a grouped numeric summary (e.g. mean, min, max, count, std dev) of the selected numeric field (bake_seconds or texture_pixels) broken down by asset_group, and (2) category frequency counts showing how often each asset_group appears in the dataset. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 row supplied — rejected by minItems constraint","More than 200 rows supplied — rejected by maxItems constraint","Invalid date format (not YYYY-MM-DD) — schema validation error","Null values in numeric fields may affect summary statistics","Missing required fields (row_id, asset_group, date, bake_seconds, texture_pixels) — validation failure","Invalid field enum value (not bake_seconds or texture_pixels) — rejected"],"whenToPreferThis":"Choose this endpoint when you have texture baking production data (bake_seconds, texture_pixels) organized by asset groups and need both a grouped numeric summary and category frequency distribution in a single low-cost call. It is purpose-built for 3D asset pipeline analytics on small-to-medium datasets (up to 200 rows) and returns two reports for $0.01 USDC with no external dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T06:49:34.240Z","isFirstParty":false,"canonicalSlug":"texture-baking-analytics-grouped-numeric-summary-category-frequencies-31d2c32a"}