{"uid":"cap_lGYkmwCGRJ87BR7M2RWtE","slug":"compositing-graphs-grouped-numeric-summary-explicit-missing-value-fill-4a9834fc","name":"Compositing Graphs — Grouped Numeric Summary + Explicit Missing-Value Fill","description":"Compositing graphs — Grouped numeric summary + Explicit missing-value fill: Grouped numeric summary + 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-09-099?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_dsMVf4efzSZ6-w7cDccO5","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 grouped numeric summaries and fills missing values for compositing graph records (node_count, render_seconds) across up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"I have compositing graph records with node_count and render_seconds fields — can you summarize node_count by asset_group and fill any missing values using median imputation? Here are my rows: [{\"row_id\":\"r1\",\"asset_group\":\"fx\",\"date\":\"2026-10-01\",\"node_count\":null,\"render_seconds\":5.2},{\"row_id\":\"r2\",\"asset_group\":\"fx\",\"date\":\"2026-10-02\",\"node_count\":40,\"render_seconds\":null}].","exampleUseCases":[{"title":"Render pipeline node count audit","prompt":"I have a list of compositing graph records from our render farm — can you group them by asset_group and summarize the node_count field, filling any missing values with the mean? I'll paste in the rows."},{"title":"Missing render time imputation","prompt":"Some of our compositing jobs are missing render_seconds values. Can you fill those gaps using median imputation and give me a grouped summary by asset_group for up to 50 records?"},{"title":"Cross-group compositing stats comparison","prompt":"We have two asset groups, 'bg-plates' and 'fx-layers', in our compositing data with some null node_count entries. Can you fill the nulls with zero and give me a grouped numeric summary so I can compare the groups?"}],"resultDescription":"Returns two analytical reports for the supplied compositing graph data: (1) a grouped numeric summary of the chosen field (node_count or render_seconds) broken down by asset_group, and (2) an explicit missing-value fill report where nulls are replaced using the selected method (zero, mean, or median). Both reports are computed locally with no external lookups.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, asset_group, date) cause validation errors","Invalid date format (not YYYY-MM-DD) causes schema rejection","Numeric values outside allowed range (-1e12 to 1e12) rejected","All values null for selected field may produce degenerate summary"],"whenToPreferThis":"Choose this endpoint when you have compositing graph records (node_count, render_seconds) and need both grouped aggregate statistics and explicit null imputation in a single call for up to 200 rows. Ideal for render pipeline analytics, compositing QA workflows, or any scenario where asset-group-level summaries and missing-value handling are needed together at low cost ($0.01 USDC for two reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T18:57:36.715Z","isFirstParty":false,"canonicalSlug":"compositing-graphs-grouped-numeric-summary-explicit-missing-value-fill-4a9834fc"}