{"uid":"cap_rCSKrmX5XsMTasW5oURr1","slug":"texture-baking-analytics-numeric-distribution-daily-sum-series-8aaa89b9","name":"Texture Baking Analytics — Numeric Distribution + Daily Sum Series","description":"Texture baking — Numeric distribution + Daily sum series: Numeric distribution + Daily sum 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-10-075?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_-3Sm_69bh9wIMoQTHXRur","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 daily sum time series for texture baking records (bake_seconds or texture_pixels) from up to 200 supplied rows.","exampleAgentPrompt":"Analyze my texture baking data and give me both a numeric distribution and a daily sum series for bake_seconds — here are my 4 records: row-1 on 2026-10-01 in group-a with 10 bake_seconds and 1 texture_pixel, row-2 on 2026-10-02 in group-b with 20 bake_seconds and 2 texture_pixels, row-3 on 2026-10-03 in group-a with 15 bake_seconds and 3 texture_pixels, row-4 on 2026-10-04 in group-b with 30 bake_seconds and 4 texture_pixels.","exampleUseCases":[{"title":"Render farm bake time analysis","prompt":"I have 50 texture baking job records from last week with dates, asset groups, bake_seconds, and texture_pixels — can you run a numeric distribution and daily sum series on the bake_seconds field so I can see how render times are spread and how the daily workload totals look?"},{"title":"Texture pixel volume trending","prompt":"Analyze these 120 texture baking rows by texture_pixels: give me a distribution of how many pixels are being processed per job and a daily sum so I can see which days had the heaviest texture output."},{"title":"Asset group bake workload summary","prompt":"I've got records from two asset groups across the past month of baking — can you compute the numeric distribution and the day-by-day total for bake_seconds across all 80 rows so I can identify outlier days and the overall shape of our workload?"}],"resultDescription":"Returns two analytical reports for the supplied texture baking dataset: (1) a numeric distribution of the selected field (bake_seconds or texture_pixels) showing statistical spread across all rows, and (2) a daily sum time series aggregating that field's totals by date. Both reports are computed locally from the provided data with no external lookups.","failureModes":["Empty or missing rows array returns a validation error","Rows exceeding 200 items are rejected (maxItems constraint)","Invalid date format (not YYYY-MM-DD) causes row validation failure","row_id missing or empty string triggers a required-field error","Numeric fields outside ±1,000,000,000,000 are rejected","Invalid field enum value (not bake_seconds or texture_pixels) causes a bad-request error","Payment not included or insufficient USDC causes a 402 response"],"whenToPreferThis":"Choose this endpoint when you need both a distributional summary and a day-by-day aggregated time series for texture baking data in a single $0.01 call. It is ideal for offline/batch analytical reporting on up to 200 records where no live data fetching, prediction, or external integration is needed. Prefer alternatives if you need outlier flags, trailing means, correlations, or other analytical combinations offered by sibling endpoints.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-27T00:43:55.150Z","isFirstParty":false,"canonicalSlug":"texture-baking-analytics-numeric-distribution-daily-sum-series-8aaa89b9"}