{"uid":"cap_8sUJsdLuZ2o3m6vgMlul1","slug":"texture-baking-analytics-exact-row-deduplication-base-100-series-3b749913","name":"Texture Baking Analytics — Exact Row Deduplication + Base-100 Series","description":"Texture baking — Exact row deduplication + Base-100 series: Exact row deduplication + Base-100 series 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-10-047?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_uD6krDwJjMDEPQehVrjZ1","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":"Deduplicates texture baking records and generates a Base-100 index series for bake_seconds or texture_pixels metrics across up to 200 rows.","exampleAgentPrompt":"Can you deduplicate my texture baking records and generate a Base-100 index series for bake_seconds, starting from row index 0? I have data for two asset groups across several dates with bake_seconds and texture_pixels values.","exampleUseCases":[{"title":"Deduplicate 3D asset baking logs","prompt":"I have 150 rows of texture baking records with row_id, asset_group, date, bake_seconds, and texture_pixels — can you deduplicate them and give me a Base-100 index series for bake_seconds starting at base_index 0?"},{"title":"Index texture pixel counts by asset group","prompt":"Take my texture baking dataset and run the exact row deduplication plus a Base-100 series on the texture_pixels field, using row index 2 as the base — I want to see how pixel counts trend relative to that baseline."},{"title":"Clean and benchmark baking pipeline data","prompt":"My baking pipeline exported 200 rows of texture data with duplicates mixed in — please deduplicate them and produce a Base-100 indexed series for bake_seconds so I can benchmark performance across asset groups over time."}],"resultDescription":"Returns two analytical reports: (1) a deduplicated set of the supplied texture baking rows with exact duplicate records removed, and (2) a Base-100 index series for the chosen field (bake_seconds or texture_pixels) anchored at the specified base_index row, enabling relative trend comparison across dates and asset groups.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, bake_seconds, texture_pixels) causes schema rejection","Invalid date format (non-YYYY-MM-DD) triggers pattern validation failure","base_index out of range (0–199) causes an error","Null values in the selected metric field may affect index calculation accuracy"],"whenToPreferThis":"Choose this endpoint when you need to clean texture baking datasets by removing exact duplicate rows AND simultaneously produce a Base-100 normalized index series for trend analysis — all in a single, low-cost call. Ideal for 3D asset pipeline analytics workflows where baking time or texture resolution data needs deduplication before benchmarking. Not suitable for live data fetching, predictive modeling, or datasets exceeding 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-27T06:53:37.075Z","isFirstParty":false,"canonicalSlug":"texture-baking-analytics-exact-row-deduplication-base-100-series-3b749913"}