{"uid":"cap_GEavkFZKYxDtdXhAj7CFk","slug":"texture-baking-analytics-adjacent-row-changes-explicit-missing-value-644504a7","name":"Texture Baking Analytics — Adjacent Row Changes + Explicit Missing-Value Fill","description":"Texture baking — Adjacent row changes + Explicit missing-value fill: Adjacent row changes + Explicit missing-value fill 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-10-162?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_4M0maEBjOseunq_hdtHNw","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 adjacent row changes and fills missing values for texture baking records (bake_seconds, texture_pixels) across up to 200 rows.","exampleAgentPrompt":"I have texture baking records for two asset groups over four days — can you compute the adjacent row-to-row changes in bake_seconds and also fill in any missing bake_seconds values using the median method?","exampleUseCases":[{"title":"Spotting bake time regressions across assets","prompt":"I've got a list of 120 texture baking records by date and asset group. Can you calculate how bake_seconds changed from one row to the next and flag where it spiked or dropped the most?"},{"title":"Imputing missing texture pixel counts","prompt":"Some of my texture_pixels values are null in this dataset of 80 baking records. Can you fill them in using the mean of the non-missing values and give me back the completed series?"},{"title":"Auditing sequential baking data for a pipeline","prompt":"I'm reviewing our texture pipeline logs — here are 200 rows with bake_seconds and texture_pixels. Run the adjacent row changes analysis and fill any missing bake_seconds with zeros so I can see the full picture."}],"resultDescription":"Returns two analytical reports: (1) adjacent row change values showing the delta between consecutive rows for the selected field, and (2) a missing-value fill report where nulls in the selected field are replaced using the chosen method (zero, mean, or median). Both reports are computed locally on the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected","Invalid date format (not YYYY-MM-DD) causes row rejection","Field value not in enum ['bake_seconds','texture_pixels'] returns validation error","Method value not in enum ['zero','mean','median'] returns validation error","Empty rows array or missing required fields causes input schema error","Payment of 0.01 USDC not provided — 402 Payment Required response"],"whenToPreferThis":"Choose this endpoint when you have time-series or sequentially ordered texture baking data and need both a row-to-row change analysis and missing value imputation in one call. It is ideal for 3D asset production pipelines where bake_seconds and texture_pixels need gap-filling and delta tracking without any external data sources or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:47:29.764Z","isFirstParty":false,"canonicalSlug":"texture-baking-analytics-adjacent-row-changes-explicit-missing-value-644504a7"}