{"uid":"cap_pZaiP3i4v6hMPeJG1VQQl","slug":"compositing-graphs-data-cleaner-deduplication-missing-value-fill-368c1301","name":"Compositing Graphs Data Cleaner — Deduplication & Missing-Value Fill","description":"Compositing graphs — Exact row deduplication + Explicit missing-value fill: Exact row deduplication + Explicit missing-value fill for supplied compositing graphs records (node_count, render_seconds). 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-09-054?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","node_count","render_seconds"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"node_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"asset_group":{"type":"string","default":"","maxLength":80},"render_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","node_count":10,"asset_group":"group-a","render_seconds":1},{"date":"2026-10-02","row_id":"row-2","node_count":20,"asset_group":"group-b","render_seconds":2},{"date":"2026-10-03","row_id":"row-3","node_count":15,"asset_group":"group-a","render_seconds":3},{"date":"2026-10-04","row_id":"row-4","node_count":30,"asset_group":"group-b","render_seconds":4}],"maxItems":200,"minItems":1},"field":{"enum":["node_count","render_seconds"],"type":"string","default":"node_count"},"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_AewvoTqH9S0Hh7VfiQ7va","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 rows and fills missing values in compositing graph records (node_count, render_seconds), returning 2 analytical reports for up to 200 rows.","exampleAgentPrompt":"I have up to 150 rows of compositing graph data with asset_group, date, node_count, and render_seconds — can you deduplicate the rows and fill any missing node_count values using the median method, then give me 2 reports on the cleaned data?","exampleUseCases":[{"title":"Clean render pipeline metrics before reporting","prompt":"I've got compositing graph records from our render farm — about 80 rows with asset_group and date fields — and some node_count values are null. Can you deduplicate the rows and fill those missing node_counts using the median, then generate the 2 analytical reports?"},{"title":"Impute missing render seconds with mean","prompt":"We have 120 compositing graph rows and there are gaps in the render_seconds column. Please deduplicate the dataset and fill any missing render_seconds using the mean fill method, and return both reports."},{"title":"Zero-fill missing values in small compositing dataset","prompt":"I have a small compositing graph dataset — around 40 rows — with some null node_count values. Can you remove any duplicate rows and zero-fill the missing node_count entries, giving me the 2 data quality reports?"}],"resultDescription":"Two analytical reports covering (1) exact row deduplication results and (2) explicit missing-value fill results for the specified field (node_count or render_seconds), applied to up to 200 rows of compositing graph records. No external lookups or predictions are included.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Invalid date format (not YYYY-MM-DD) causes validation error","Missing required fields (row_id, asset_group, date) cause schema rejection","Numeric values outside ±1,000,000,000,000 range cause validation failure","Empty rows array (minItems: 1 not met) causes rejection"],"whenToPreferThis":"Choose this endpoint when you have compositing graph tabular data (node_count, render_seconds) that needs both duplicate row removal and missing-value imputation in a single call, with results returned as two reports. Ideal for pre-processing render pipeline metrics before downstream analytics. Not suitable for live data fetching, prediction, or data domains outside compositing graphs.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:22.418Z","isFirstParty":false,"canonicalSlug":"compositing-graphs-data-cleaner-deduplication-missing-value-fill-368c1301"}