{"uid":"cap_P_wWVp_9lXlE4sUgEzt2V","slug":"texture-baking-data-analysis-exact-row-deduplication-numeric-dc7e7e34","name":"Texture Baking Data Analysis: Exact Row Deduplication + Numeric Distribution","description":"Texture baking — Exact row deduplication + Numeric distribution: Exact row deduplication + Numeric distribution 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-10-039?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_pDYUPj1GHJsPHYHwh-WNg","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":"Performs exact row deduplication and numeric distribution analysis on up to 200 texture baking records (bake_seconds, texture_pixels) using local analytical engines.","exampleAgentPrompt":"Can you deduplicate these texture baking records and give me a numeric distribution report on bake_seconds? I have 4 rows: row-1 group-a 2026-10-01 bake_seconds=10 texture_pixels=1, row-2 group-b 2026-10-02 bake_seconds=20 texture_pixels=2, row-3 group-a 2026-10-03 bake_seconds=15 texture_pixels=3, row-4 group-b 2026-10-04 bake_seconds=30 texture_pixels=4.","exampleUseCases":[{"title":"QA check for duplicated bake jobs","prompt":"I've got a batch of 50 texture baking records from our pipeline and I want to know if any rows are exact duplicates — can you run a deduplication check and also show me the numeric distribution of bake_seconds across these entries?"},{"title":"Pixel count distribution for asset groups","prompt":"Here are 120 texture baking records with asset_group, date, bake_seconds, and texture_pixels. Can you analyze the numeric distribution of texture_pixels and flag any duplicate rows in the dataset?"},{"title":"Audit render times before billing","prompt":"Before I finalize our render billing report, can you deduplicate these 80 texture baking records and give me a distribution breakdown of bake_seconds so I can spot any outliers or repeated entries?"}],"resultDescription":"Returns two analytical reports: (1) an exact row deduplication report identifying repeated rows across the submitted records, and (2) a numeric distribution report summarizing the statistical spread (e.g. min, max, mean, percentiles) for the selected numeric field (bake_seconds or texture_pixels) across up to 200 rows.","failureModes":["Input array exceeds 200 rows — request will be rejected","Missing required fields (row_id, date, asset_group, bake_seconds, texture_pixels) cause validation errors","Invalid date format (non-YYYY-MM-DD) rejected by pattern validation","Numeric values outside allowed range (±1,000,000,000,000) rejected","Empty rows array (minItems:1 not met) causes error","Payment not included or insufficient — x402 payment required"],"whenToPreferThis":"Choose this endpoint when you have texture baking pipeline data (up to 200 rows) and need both exact deduplication and numeric distribution analysis in a single low-cost call. It is specifically designed for creative/3D production workflows tracking bake_seconds and texture_pixels. It performs purely local analytics with no external lookups, so results are deterministic and reproducible given the same input.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-27T06:54:13.995Z","isFirstParty":false,"canonicalSlug":"texture-baking-data-analysis-exact-row-deduplication-numeric-dc7e7e34"}