{"uid":"cap_4CgMURsHzJMyfypZD8L_f","slug":"texture-baking-analytics-string-normalisation-numeric-row-ordering-bdc637b7","name":"Texture Baking Analytics — String Normalisation & Numeric Row Ordering","description":"Texture baking — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering 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-10-025?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_jQ3lG7kk68xgFRzgBQdnD","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 numerically orders rows for up to 200 texture baking records (bake_seconds, texture_pixels), returning two analytical reports per call.","exampleAgentPrompt":"Can you normalise the asset group strings and sort these texture baking records by bake_seconds? I have 4 rows: row-1 (group-a, 2026-10-01, bake_seconds=10, texture_pixels=1024), row-2 (group-b, 2026-10-02, bake_seconds=20, texture_pixels=2048), row-3 (group-a, 2026-10-03, bake_seconds=15, texture_pixels=512), row-4 (group-b, 2026-10-04, bake_seconds=30, texture_pixels=4096).","exampleUseCases":[{"title":"Rank asset groups by bake duration","prompt":"I have 50 texture baking records with asset group names and bake_seconds values — can you normalise the group name strings and give me a numerically ordered ranking of all rows by bake_seconds?"},{"title":"Sort pixel-heavy textures for optimisation","prompt":"Here are 120 texture baking rows across several asset groups with texture_pixels measurements — please normalise the string fields and order the rows numerically by texture_pixels so I can spot which textures are largest."},{"title":"Audit mixed-format bake log entries","prompt":"My bake log has inconsistent asset_group formatting and I need both bake_seconds and texture_pixels reports — can you normalise the strings and sort the rows numerically for both fields across these 80 records?"}],"resultDescription":"Returns two independent analytical reports: (1) string-normalised versions of the text fields (row_id, asset_group, date) and (2) numerically ordered row rankings for the chosen numeric field (bake_seconds or texture_pixels). All computation is performed locally with no external lookups or predictions.","failureModes":["More than 200 rows submitted — request rejected due to maxItems limit","Missing required fields (row_id, date, bake_seconds, texture_pixels) cause validation errors","Invalid date format (non YYYY-MM-DD) triggers pattern validation failure","Numeric values outside ±1,000,000,000,000 range are rejected","Empty rows array (minItems:1 violation) returns error","Invalid field enum value (not bake_seconds or texture_pixels) causes rejection"],"whenToPreferThis":"Choose this endpoint when you have texture baking pipeline data (up to 200 rows) and need both string normalisation of categorical/label fields and numeric ordering of bake metric rows in a single cheap call. It is purpose-built for 3D asset pipeline analytics where bake_seconds and texture_pixels are the key metrics, and it requires no external data sources or live lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:45.520Z","isFirstParty":false,"canonicalSlug":"texture-baking-analytics-string-normalisation-numeric-row-ordering-bdc637b7"}