{"uid":"cap_piV4yxgYjMqGa2_oejmV2","slug":"texture-baking-analytics-string-normalisation-keyed-dataset-comparison-226562da","name":"Texture Baking Analytics — String Normalisation & Keyed Dataset Comparison","description":"Texture baking — String normalisation + Keyed dataset comparison: String normalisation + Keyed dataset comparison 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-10-036?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"asset_group":{"type":"string","default":"","maxLength":80},"bake_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"texture_pixels":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","asset_group":"group-a","bake_seconds":10,"texture_pixels":1},{"date":"2026-10-02","row_id":"row-2","asset_group":"group-b","bake_seconds":20,"texture_pixels":2},{"date":"2026-10-03","row_id":"row-3","asset_group":"group-a","bake_seconds":15,"texture_pixels":3},{"date":"2026-10-04","row_id":"row-4","asset_group":"group-b","bake_seconds":30,"texture_pixels":4}],"maxItems":200,"minItems":1},"other":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","bake_seconds","texture_pixels"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21,"texture_pixels":2},{"date":"2026-10-03","row_id":"row-3","asset_group":"group-a","bake_seconds":17,"texture_pixels":3},{"date":"2026-10-04","row_id":"row-4","asset_group":"group-b","bake_seconds":33,"texture_pixels":4}],"maxItems":200,"minItems":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_Irk-e5nYL1xn-4-PmY_Z-","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 strings and performs keyed comparison across two supplied texture baking datasets (bake_seconds, texture_pixels) for up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"Compare these two sets of texture baking records for me — the first batch has 4 rows with asset groups group-a and group-b, bake_seconds like 10, 20, 15, 30, and texture_pixels 1–4; the second batch is the same rows but with slightly different bake_seconds. Normalise the strings and give me a keyed comparison report showing where they differ.","exampleUseCases":[{"title":"Spot-check two render pipeline exports","prompt":"I have two exports from our texture baking pipeline for the same asset groups on 2026-10-01 through 2026-10-04 — can you normalise the strings and run a keyed comparison to show me which rows have different bake_seconds or texture_pixels values between the two runs?"},{"title":"Audit asset group bake time consistency","prompt":"We ran our texture baker twice this week across group-a and group-b assets and I need to know if the bake_seconds match row-by-row — can you normalise all the string fields and compare the two datasets keyed by row_id?"},{"title":"QA check before merging texture datasets","prompt":"Before I merge these two texture baking record sets, can you do a string normalisation pass and a keyed comparison for up to 50 rows, flagging any discrepancies in bake_seconds or texture_pixels by asset group and date?"}],"resultDescription":"Two analytical reports: (1) a string normalisation report detailing how string fields (row_id, asset_group, date) were cleaned and standardised across both datasets, and (2) a keyed dataset comparison report showing row-by-row differences in bake_seconds and texture_pixels between the 'rows' and 'other' inputs, keyed by row_id. No external lookups or predictions are included.","failureModes":["Exceeding 200 rows in either dataset returns a validation error","Missing required fields (row_id, asset_group, date, bake_seconds, texture_pixels) causes row rejection","Date strings not matching YYYY-MM-DD pattern fail schema validation","Numeric values outside ±1,000,000,000,000 range are rejected","Empty rows array (minItems: 1 violated) returns an error","Mismatched row_ids between datasets result in unmatched-row entries in comparison report"],"whenToPreferThis":"Choose this endpoint when you have two batches of texture baking records (up to 200 rows each) and need both string normalisation and a keyed row-by-row comparison in a single low-cost call ($0.01 USDC). It operates entirely on supplied data with no external API calls, making it deterministic and offline-safe. Prefer it over general data-diff tools when your data specifically contains bake_seconds and texture_pixels fields organised by asset_group and date.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:01.160Z","isFirstParty":false,"canonicalSlug":"texture-baking-analytics-string-normalisation-keyed-dataset-comparison-226562da"}