{"uid":"cap_hrRWZz9pfdCkhq4x55d7Y","slug":"texture-baking-analytics-adjacent-row-changes-equal-width-histogram-6e1476fd","name":"Texture Baking Analytics — Adjacent Row Changes + Equal-Width Histogram","description":"Texture baking — Adjacent row changes + Equal-width histogram: Adjacent row changes + Equal-width histogram 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-10-156?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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_BGx8s5WiWxGboFYUiWfFC","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 by computing adjacent row changes and an equal-width histogram for either bake_seconds or texture_pixels, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you run two analytical reports on these 50 texture baking records — I want adjacent row changes and an equal-width histogram with 10 bins on the bake_seconds field? Here are the rows with row_id, asset_group, date, bake_seconds, and texture_pixels.","exampleUseCases":[{"title":"Bake time distribution for asset batch","prompt":"I have 120 texture baking records from our latest asset group — can you give me an equal-width histogram with 8 bins on the bake_seconds field so I can see how bake times are distributed across that batch?"},{"title":"Sequential delta analysis for render farm","prompt":"Run adjacent row changes on these 80 texture baking entries sorted by date — I need to see how bake_seconds shifts between consecutive rows to spot any sudden slowdowns on the render farm."},{"title":"Pixel count trend review across groups","prompt":"Can you compute both adjacent row changes and a 5-bin equal-width histogram on the texture_pixels field for these 40 baking records grouped under asset_group 'characters'? I want to understand how pixel counts vary sequentially and how they distribute overall."}],"resultDescription":"Returns two structured analytical reports: (1) an adjacent row changes report showing the delta in the selected metric (bake_seconds or texture_pixels) between each consecutive row, and (2) an equal-width histogram breaking the selected metric into the specified number of bins with frequency counts, based entirely on the supplied input data.","failureModes":["More than 200 rows submitted — request exceeds the maximum row limit","Missing required fields (row_id, date, bake_seconds, texture_pixels) in any row — validation error","Invalid date format not matching YYYY-MM-DD pattern — schema rejection","Bins value outside 1–30 range — parameter validation failure","Field value not one of the allowed enum values (bake_seconds or texture_pixels) — rejection","All null values for the selected field — unable to compute meaningful statistics"],"whenToPreferThis":"Choose this endpoint when you have structured texture baking records and need fast, local statistical analysis — specifically adjacent row-to-row change detection and frequency distribution histograms — without requiring any external lookup, prediction, or live data. It is ideal for 3D/creative production pipelines where you want to summarize up to 200 baking job records cheaply and offline-analytically at $0.01 per call for both reports together.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-27T00:44:25.555Z","isFirstParty":false,"canonicalSlug":"texture-baking-analytics-adjacent-row-changes-equal-width-histogram-6e1476fd"}