{"uid":"cap_2N4WerckkNLoPHFPdZvLq","slug":"compositing-graphs-date-by-category-pivot-keyed-dataset-comparison-3d924ee2","name":"Compositing Graphs — Date by Category Pivot + Keyed Dataset Comparison","description":"Compositing graphs — Date by category pivot + Keyed dataset comparison: Date by category pivot + Keyed dataset comparison 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-09-188?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"node_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"asset_group":{"type":"string","default":"","maxLength":80},"render_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","node_count":10,"asset_group":"group-a","render_seconds":1},{"date":"2026-10-02","row_id":"row-2","node_count":20,"asset_group":"group-b","render_seconds":2},{"date":"2026-10-03","row_id":"row-3","node_count":15,"asset_group":"group-a","render_seconds":3},{"date":"2026-10-04","row_id":"row-4","node_count":30,"asset_group":"group-b","render_seconds":4}],"maxItems":200,"minItems":1},"field":{"enum":["node_count","render_seconds"],"type":"string","default":"node_count"},"other":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","node_count","render_seconds"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21,"asset_group":"group-b","render_seconds":2},{"date":"2026-10-03","row_id":"row-3","node_count":17,"asset_group":"group-a","render_seconds":3},{"date":"2026-10-04","row_id":"row-4","node_count":33,"asset_group":"group-b","render_seconds":4}],"maxItems":200,"minItems":0}}},"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_hM3WTQj6ytF5iGUpuVX1G","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":"Analyzes compositing graph records by pivoting node_count or render_seconds by date and category, and compares two supplied datasets by key — returning two independent analytical reports.","exampleAgentPrompt":"I have two sets of compositing graph records with node_count and render_seconds — can you pivot node_count by date and asset_group for the first dataset, and also do a keyed comparison between the two datasets using those same fields? Here's the first set: [{\"row_id\":\"r1\",\"asset_group\":\"bg-layer\",\"date\":\"2025-01-01\",\"node_count\":12,\"render_seconds\":4}] and second set: [{\"row_id\":\"r1\",\"asset_group\":\"bg-layer\",\"date\":\"2025-01-01\",\"node_count\":15,\"render_seconds\":5}].","exampleUseCases":[{"title":"Render time drift across production groups","prompt":"I've got two weeks of compositing job logs split by asset group — can you pivot render_seconds by date and asset_group, and then compare this week's rows against last week's using the row IDs as keys, so I can see where render time is drifting?"},{"title":"Node count benchmarking between pipeline versions","prompt":"We ran the same compositing jobs through two different pipeline versions — can you pivot node_count by date and asset_group for both, and do a keyed comparison so we can see exactly which rows changed between version A and version B?"},{"title":"Daily compositing performance summary by team","prompt":"Here are two exports of daily compositing stats by team group — can you pivot node_count by date and asset_group on the primary dataset, and compare it against the secondary dataset by row_id to flag any mismatches in node counts or render times?"}],"resultDescription":"Returns two independent analytical reports: (1) a date-by-category pivot table showing node_count or render_seconds aggregated across dates and asset_groups, and (2) a keyed dataset comparison report highlighting differences between the two supplied compositing record datasets — both computed locally from supplied data, up to 200 rows each.","failureModes":["Missing required fields (row_id, asset_group, date, node_count, render_seconds) cause validation errors","Exceeding 200 rows returns an error or truncated results","Invalid date format (non-YYYY-MM-DD) fails pattern validation","Empty rows array rejected due to minItems:1 constraint","Mismatched row_ids between primary and comparison dataset may yield empty comparison results"],"whenToPreferThis":"Choose this endpoint when you have compositing graph data (node_count, render_seconds) organized by asset_group and date, and you need both a date-by-category pivot and a keyed side-by-side comparison of two datasets in a single call. It is ideal for creative/media pipeline analytics where you want to compare rendering performance across groups or between pipeline versions without any external data lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:36.074Z","isFirstParty":false,"canonicalSlug":"compositing-graphs-date-by-category-pivot-keyed-dataset-comparison-3d924ee2"}