{"uid":"cap_gnuP6E0tiJEXljwtTgtV8","slug":"render-jobs-data-cleaner-deduplication-missing-value-fill-5a8b0e62","name":"Render Jobs Data Cleaner — Deduplication & Missing Value Fill","description":"Render jobs — Exact row deduplication + Explicit missing-value fill: Exact row deduplication + Explicit missing-value fill for supplied render jobs records (render_seconds, sample_count). 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-02-054?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","render_seconds","sample_count"],"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},"sample_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"render_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","asset_group":"group-a","sample_count":1,"render_seconds":10},{"date":"2026-10-02","row_id":"row-2","asset_group":"group-b","sample_count":2,"render_seconds":20},{"date":"2026-10-03","row_id":"row-3","asset_group":"group-a","sample_count":3,"render_seconds":15},{"date":"2026-10-04","row_id":"row-4","asset_group":"group-b","sample_count":4,"render_seconds":30}],"maxItems":200,"minItems":1},"field":{"enum":["render_seconds","sample_count"],"type":"string","default":"render_seconds"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_vLikaXbmYj5Cc1Oe_4vHy","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":"Deduplicates render job rows and fills missing values for render_seconds or sample_count fields using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Clean my render job records by deduplicating exact duplicate rows and filling any missing render_seconds values using median imputation — here are my rows: row-1, group-a, 2026-10-01, render_seconds=10, sample_count=1; row-2, group-b, 2026-10-02, render_seconds=null, sample_count=2; row-3, group-a, 2026-10-01, render_seconds=10, sample_count=1 (duplicate).","exampleUseCases":[{"title":"Clean studio render pipeline data","prompt":"I have up to 150 render job records from our studio pipeline with some duplicate rows and several null render_seconds values — can you deduplicate them and fill the missing render_seconds using the median of the existing values?"},{"title":"Fix missing sample counts before reporting","prompt":"Before I generate our weekly render report, can you take these 80 render job rows and fill in any null sample_count values using the mean, and also remove any exact duplicate records?"},{"title":"Zero-fill missing render times for billing","prompt":"I need to prep these render job records for billing — please deduplicate the list and replace any missing render_seconds with zero so every row has a value. I have about 60 rows across groups group-a and group-b."}],"resultDescription":"Returns two analytical reports covering the supplied render job records after exact row deduplication and explicit missing-value imputation on the chosen field (render_seconds or sample_count) using the specified fill method (zero, mean, or median). Reports are generated locally with no external lookups.","failureModes":["More than 200 rows submitted — request rejected or truncated","Invalid date format (not YYYY-MM-DD) causes validation error","Missing required fields (row_id, asset_group, date) causes schema rejection","Field or method enum value not matching allowed options causes error","Numeric values outside allowed range cause validation failure"],"whenToPreferThis":"Choose this endpoint when you need lightweight, low-cost data cleaning for render job records specifically — deduplication plus missing value imputation — without any external data lookups or predictions. Ideal for small to medium datasets (up to 200 rows) of render job data containing render_seconds and sample_count fields. Prefer this over general-purpose data tools when you need two structured analytical reports at minimal cost ($0.01 USDC).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:10.742Z","isFirstParty":false,"canonicalSlug":"render-jobs-data-cleaner-deduplication-missing-value-fill-5a8b0e62"}