{"uid":"cap__mJ44rur8KrJPJ5_Cx1Tv","slug":"texture-baking-analytics-numeric-distribution-base-100-series-d5b1fabb","name":"Texture Baking Analytics — Numeric Distribution + Base-100 Series","description":"Texture baking — Numeric distribution + Base-100 series: Numeric distribution + 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-10-078?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_I_VONtO8C0vMIm9fewSXx","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 a numeric distribution report and a base-100 indexed series for supplied texture baking data (bake_seconds or texture_pixels), up to 200 rows.","exampleAgentPrompt":"Can you run a numeric distribution and base-100 series analysis on my texture baking data — I have about 50 rows with bake_seconds and texture_pixels per asset group, and I want the base-100 series indexed to row 0 for the bake_seconds field?","exampleUseCases":[{"title":"Bake time distribution for render farm audit","prompt":"I need a numeric distribution report on bake_seconds for my last 120 texture baking jobs — can you analyze the spread and also give me a base-100 series anchored to the very first record so I can see how bake times have changed relative to that baseline?"},{"title":"Texture pixel count indexed series for asset review","prompt":"Can you analyze the texture_pixels field across my 80 asset records and give me both a distribution breakdown and a base-100 index series starting from record 0 so I can see which assets are above or below the baseline pixel count?"},{"title":"Comparing asset groups via distribution analysis","prompt":"I have baking records for two asset groups — group-a and group-b — about 60 rows total. Can you compute the numeric distribution and a base-100 series on bake_seconds, using row index 5 as my base reference point?"}],"resultDescription":"Returns two analytical reports for the selected numeric field: (1) a numeric distribution summary (e.g., min, max, mean, percentiles, frequency bins) and (2) a base-100 indexed series showing each row's value relative to the chosen base row, all computed locally without external lookups.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — excess rows rejected or request fails","Invalid date format (not YYYY-MM-DD) — schema validation error","base_index out of range (>= number of rows) — computation error","Null values in bake_seconds or texture_pixels may affect distribution accuracy","Missing required fields (row_id) — schema validation error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 texture baking records and need both a numeric distribution report and a base-100 indexed time series in a single low-cost call ($0.01 USDC). It is ideal for 3D production pipelines where you want offline statistical analysis of bake_seconds or texture_pixels without any external API calls, predictions, or live data lookups. Prefer it over general-purpose analytics tools when the data is already structured per the schema and you want two reports simultaneously.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-27T00:44:47.247Z","isFirstParty":false,"canonicalSlug":"texture-baking-analytics-numeric-distribution-base-100-series-d5b1fabb"}