{"uid":"cap_3JHFkD-KcMT-rKmpf8pIv","slug":"texture-baking-analytics-grouped-numeric-summary-adjacent-row-changes-8819b516","name":"Texture Baking Analytics — Grouped Numeric Summary + Adjacent Row Changes","description":"Texture baking — Grouped numeric summary + Adjacent row changes: Grouped numeric summary + Adjacent row changes 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-10-091?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_6xjsrnTO10GIFqPqg4165","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 adjacent row changes for texture baking records (bake_seconds, texture_pixels) across up to 200 rows.","exampleAgentPrompt":"Can you run a grouped numeric summary and adjacent row changes report on my texture baking data? I have rows with asset_group, date, bake_seconds, and texture_pixels — analyze the bake_seconds field across up to 200 rows and give me both the per-group stats and the row-over-row deltas.","exampleUseCases":[{"title":"Asset group bake time comparison","prompt":"I have texture baking logs for two asset groups — group-a and group-b — with dates and bake_seconds values for about 50 rows. Can you give me a grouped numeric summary of bake_seconds by asset group and also show me how bake_seconds changed between adjacent rows?"},{"title":"Pixel count change detection across renders","prompt":"I want to see how texture_pixels changed from one bake record to the next across my 120 texture baking entries. Can you compute the adjacent row changes for texture_pixels and also group the summary stats by asset group?"},{"title":"Pipeline performance audit for creative team","prompt":"Our rendering pipeline produced 180 texture baking records this sprint — each has a row_id, asset_group, date, bake_seconds, and texture_pixels. Run a grouped numeric summary and adjacent row changes report on bake_seconds so I can audit which groups are slowest and where big jumps happen."}],"resultDescription":"Returns two analytical reports: (1) a grouped numeric summary of the selected field (bake_seconds or texture_pixels) broken down by asset_group, including statistics like count, mean, min, max, and sum; and (2) adjacent row changes showing the delta between consecutive rows for the selected field, enabling detection of spikes or trends in the baking pipeline.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, asset_group, date, bake_seconds, texture_pixels) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Field selector not one of 'bake_seconds' or 'texture_pixels' — enum validation error","Empty rows array — minimum items constraint violation","Payment not fulfilled via x402 protocol — 402 Payment Required response"],"whenToPreferThis":"Choose this endpoint when you need both grouped aggregate statistics and row-over-row change detection for texture baking records in a single call. It is purpose-built for 3D asset pipeline analytics where bake_seconds and texture_pixels are the key metrics. Prefer this over generic analytics services when you want a low-cost ($0.01), no-setup analytical report delivered instantly from supplied data without any external lookup or prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-27T00:43:45.660Z","isFirstParty":false,"canonicalSlug":"texture-baking-analytics-grouped-numeric-summary-adjacent-row-changes-8819b516"}