{"uid":"cap_a7MYtbx4lcSZXZLQkAHhM","slug":"texture-baking-analytics-category-frequencies-equal-width-histogram-8ede0265","name":"Texture Baking Analytics — Category Frequencies + Equal-Width Histogram","description":"Texture baking — Category frequencies + Equal-width histogram: Category frequencies + Equal-width histogram 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-10-106?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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_qmi5FMov2KS3n4VPVkg5J","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 distribution and an equal-width histogram for texture baking records (bake_seconds or texture_pixels) across up to 200 rows.","exampleAgentPrompt":"I have 50 texture baking records with bake_seconds and texture_pixels per asset group — can you run a category frequency report and an equal-width histogram with 10 bins on the bake_seconds field for me?","exampleUseCases":[{"title":"Bake time distribution for render farm","prompt":"I've got a batch of 120 texture baking jobs from our render farm — can you compute a category frequency report and an equal-width histogram with 8 bins for the bake_seconds field so I can see where time is being spent?"},{"title":"Pixel count spread across asset groups","prompt":"Can you analyze the distribution of texture_pixels across my 80 baking records using 5 histogram bins and show me the category frequencies by asset group?"},{"title":"Pipeline audit for abnormal bake durations","prompt":"I want to audit our texture baking pipeline — run a frequency and histogram report with 15 bins on bake_seconds for these 200 records so I can spot any unusual clusters in bake duration."}],"resultDescription":"Returns two analytical reports: (1) a category frequency table showing how records are distributed across asset_group categories, and (2) an equal-width histogram of the selected numeric field (bake_seconds or texture_pixels) divided into the specified number of bins, with counts per bin — all computed locally with no external lookups.","failureModes":["More than 200 rows submitted — request exceeds row limit, will be rejected","Invalid date format (not YYYY-MM-DD) on any row — schema validation failure","bins value outside 1–30 range — rejected by schema constraints","Missing required fields (row_id, bake_seconds, texture_pixels) on any row — validation error","Numeric values outside ±1,000,000,000,000 range — schema rejection","Empty rows array — minimum 1 row required"],"whenToPreferThis":"Choose this endpoint when you have texture baking pipeline records and need both a categorical frequency breakdown (by asset_group) and a numeric histogram of bake_seconds or texture_pixels in a single low-cost call. Ideal for 3D/creative pipeline analytics where you want quick distributional insights on up to 200 records without needing external data enrichment, predictions, or live lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-27T00:44:25.224Z","isFirstParty":false,"canonicalSlug":"texture-baking-analytics-category-frequencies-equal-width-histogram-8ede0265"}