{"uid":"cap_gmWOKDEzWCpcimAI7qgmM","slug":"texture-baking-data-normaliser-and-interval-filter-14946d2f","name":"Texture Baking Data Normaliser and Interval Filter","description":"Texture baking — String normalisation + Numeric interval filter: String normalisation + Numeric interval filter 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-10-026?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_jwzzsUyOlZveeF41D_TAE","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":"Normalises string fields and filters rows by numeric interval for texture baking records (bake_seconds, texture_pixels), returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you normalise the string fields and filter the bake_seconds between 10 and 50 for these texture baking records: row-1/group-a/2026-10-01 with bake_seconds=10 and texture_pixels=1, row-2/group-b/2026-10-02 with bake_seconds=20 and texture_pixels=2? I need both reports.","exampleUseCases":[{"title":"Filter overlong bake times from pipeline","prompt":"I have 80 texture baking records and I want to filter out any rows where bake_seconds falls outside the range 5 to 300 — can you run the normalisation and interval filter on the bake_seconds field and give me both reports?"},{"title":"Validate pixel counts within acceptable bounds","prompt":"Can you check these 150 texture baking rows and filter the texture_pixels field to only keep rows between 512 and 4096, with string normalisation applied, and return the two analytical reports?"},{"title":"Clean asset group names before export","prompt":"I need to normalise the string data in these texture baking records and filter bake_seconds between 0 and 60 for our group-a and group-b assets dated this month — please return both reports from the analysis."}],"resultDescription":"Two independent analytical reports covering string-normalised texture baking records and rows that fall within the specified numeric interval for the chosen field (bake_seconds or texture_pixels), computed locally without external lookups. Results reflect the supplied data only.","failureModes":["More than 200 rows submitted — endpoint rejects input exceeding maxItems","Missing required fields (row_id, date, bake_seconds, texture_pixels) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers pattern validation failure","Numeric values outside ±1,000,000,000,000 are rejected","minimum greater than maximum produces empty filtered result set","Non-enum value for field parameter causes rejection"],"whenToPreferThis":"Choose this endpoint when you have texture baking pipeline data (bake_seconds, texture_pixels) and need both string normalisation and numeric interval filtering in a single call returning two reports, for up to 200 rows, at low cost ($0.01 USDC). It is a local, offline analytical tool with no external lookups or predictions, suitable for data-cleaning steps in 3D asset pipelines.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:13.805Z","isFirstParty":false,"canonicalSlug":"texture-baking-data-normaliser-and-interval-filter-14946d2f"}