{"uid":"cap_2Ha4J4R8Yc2mfzpqqMpzr","slug":"texture-baking-data-quality-audit-with-adjacent-row-change-detection-0f232930","name":"Texture Baking Data Quality Audit with Adjacent Row Change Detection","description":"Texture baking — Record quality audit + Adjacent row changes: Record quality audit + 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-10-011?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_mrsN0fSUgt4Y2lOtfYrEw","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":"Runs two local analytical reports on texture baking records: a record quality audit and an adjacent row change analysis, for up to 200 rows of bake_seconds or texture_pixels data.","exampleAgentPrompt":"Can you run a record quality audit and adjacent row change report on these texture baking logs — I have up to 50 rows with bake_seconds and texture_pixels fields and I want to check the bake_seconds column for data issues and sequential changes?","exampleUseCases":[{"title":"QA check on nightly bake pipeline","prompt":"I've got 120 rows of texture baking records from last night's render job, each with a date, asset group, bake_seconds and texture_pixels — can you run a quality audit and flag any adjacent row changes in the bake_seconds column so I can catch any pipeline issues?"},{"title":"Spot erratic texture pixel counts","prompt":"Run a data quality audit and adjacent row change analysis on these 80 texture baking records, focusing on the texture_pixels field — I want to see if any rows have bad values and whether pixel counts are jumping around unexpectedly between consecutive rows."},{"title":"Pre-delivery data integrity check","prompt":"Before I hand off this batch of 40 texture baking records to the art team, can you audit them for data quality issues and show me where bake_seconds changes significantly between adjacent rows?"}],"resultDescription":"Returns two independent analytical reports generated locally from the supplied data: (1) a record quality audit identifying missing, null, or anomalous values in the specified field across all submitted rows, and (2) an adjacent row change report highlighting value differences between consecutive rows for the selected metric (bake_seconds or texture_pixels), covering up to 200 rows per call.","failureModes":["Fewer than 1 row submitted returns a validation error","More than 200 rows submitted exceeds the per-call limit","Invalid date format (not YYYY-MM-DD) causes schema rejection","Missing required fields (row_id, asset_group, date, bake_seconds, texture_pixels) causes row-level errors","Invalid field enum value (not bake_seconds or texture_pixels) rejected by schema","Null numeric values may reduce completeness of change-detection report"],"whenToPreferThis":"Choose this endpoint when you need two combined analytical reports — record quality audit plus adjacent row change detection — on texture baking data (bake_seconds or texture_pixels) in a single low-cost call. Ideal for creative/3D asset pipelines where you want to validate data completeness and detect sequential anomalies without external lookups or live data connections. Best when your dataset is 200 rows or fewer and you want both reports bundled at $0.01 USDC.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T06:48:26.242Z","isFirstParty":false,"canonicalSlug":"texture-baking-data-quality-audit-with-adjacent-row-change-detection-0f232930"}