{"uid":"cap_QFFwH3YXiyBI17NGKx9HY","slug":"texture-baking-analytics-category-frequencies-keyed-dataset-comparison-35ce7173","name":"Texture Baking Analytics — Category Frequencies + Keyed Dataset Comparison","description":"Texture baking — Category frequencies + Keyed dataset comparison: Category frequencies + 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-10-111?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_3jyxXp-0kxL5H55W9jwhu","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":"Computes category frequency distributions and performs keyed row-by-row dataset comparison for texture baking records (bake_seconds, texture_pixels) across up to 200 rows.","exampleAgentPrompt":"Can you run a category frequency analysis and a keyed comparison on my two texture baking datasets? The first has rows like {row_id: 'bake-001', asset_group: 'character', date: '2025-03-10', bake_seconds: 45, texture_pixels: 2048} and I want to compare it against a second dataset with the same row IDs to see where bake_seconds and texture_pixels differ.","exampleUseCases":[{"title":"Comparing two texture pipeline runs","prompt":"I ran our texture baking pipeline twice this week with slightly different settings — can you compare the two datasets row by row using the row_id as the key, and also tell me the category frequencies for each asset_group? First run is from 2025-06-01 and second from 2025-06-03, each with about 80 rows."},{"title":"Asset group frequency audit for bake jobs","prompt":"I have a batch of 150 texture baking records from our environment team, each tagged with an asset_group like 'terrain', 'props', or 'foliage' — can you give me a frequency breakdown of how many records fall into each category, and compare them against last month's equivalent batch?"},{"title":"QA check on texture bake output changes","prompt":"We updated our texture bake pipeline and I want to know which rows changed and by how much — can you do a keyed comparison between the old and new bake_seconds and texture_pixels values, and also show me the category frequency distribution by asset_group for both datasets?"}],"resultDescription":"Returns two independent analytical reports: (1) a category frequency table showing how often each asset_group value appears in the supplied rows, and (2) a keyed dataset comparison report showing row-by-row differences between the 'rows' and 'other' datasets matched on row_id, highlighting changes in bake_seconds and texture_pixels. No external lookups or predictions are made; all analysis is local.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, asset_group, date, bake_seconds, texture_pixels) cause rejection","Mismatched row_id keys between 'rows' and 'other' may result in unmatched comparison entries","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","Numeric values outside allowed range (-1e12 to 1e12) are rejected","Payment failure via x402 protocol prevents endpoint execution"],"whenToPreferThis":"Choose this endpoint when you need both a category frequency breakdown and a keyed row-by-row comparison of texture baking data in a single low-cost call. It is purpose-built for the texture baking domain (bake_seconds, texture_pixels, asset_group) and delivers two reports for $0.01 USDC without any external API calls, predictions, or live data lookups. Prefer it over general analytics tools when working within 3D asset pipelines where you need fast, offline statistical summaries of bake job datasets.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-27T00:44:01.693Z","isFirstParty":false,"canonicalSlug":"texture-baking-analytics-category-frequencies-keyed-dataset-comparison-35ce7173"}