{"uid":"cap_jcrZEmZMo1DIZqlmYYJvc","slug":"compositing-graphs-adjacent-row-changes-keyed-dataset-comparison-31db5496","name":"Compositing Graphs — Adjacent Row Changes + Keyed Dataset Comparison","description":"Compositing graphs — Adjacent row changes + Keyed dataset comparison: Adjacent row changes + 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-09-161?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_Rvs7HrpLUy4VAVyEDCsqO","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 (node_count, render_seconds) by computing adjacent row changes and performing keyed dataset comparison across two supplied datasets, up to 200 rows each.","exampleAgentPrompt":"Compare these two compositing graph datasets for node_count — one is my baseline and the other is after the latest pipeline change — I want both adjacent row changes and a keyed comparison across up to 50 rows each, with row IDs and asset groups included.","exampleUseCases":[{"title":"Render time regression detection","prompt":"I have two versions of our compositing graph logs — the one from last week and today's — both with render_seconds per node. Can you run an adjacent row change report and a keyed comparison on render_seconds so I can see where performance regressed?"},{"title":"Node count growth audit across pipeline stages","prompt":"Here are two compositing graph snapshots tracking node_count by asset group and date. Run the adjacent row changes and keyed dataset comparison on node_count so I can audit how graph complexity grew between the two runs."},{"title":"Before/after comparison after compositing refactor","prompt":"I refactored our compositing pipeline and want to validate the impact. I have before and after records with row_id, asset_group, date, node_count, and render_seconds — please compare the two datasets using keyed comparison and adjacent row deltas on node_count."}],"resultDescription":"Returns two analytical reports: (1) an adjacent row changes report showing sequential delta values for the selected field (node_count or render_seconds) across the primary dataset, and (2) a keyed dataset comparison report matching rows by key between the two supplied datasets and highlighting differences — all computed locally without external lookups, covering up to 200 rows per dataset.","failureModes":["Rows array missing required fields (row_id, date, asset_group, node_count, render_seconds) causes validation error","More than 200 rows submitted per dataset exceeds the limit","Invalid date format (not YYYY-MM-DD pattern) causes schema rejection","Field enum value outside node_count or render_seconds causes error","Empty rows array (minItems: 1 violated) returns error","Mismatched or missing row_ids between primary and comparison datasets may reduce keyed comparison coverage"],"whenToPreferThis":"Choose this endpoint when you have compositing graph data with node_count and/or render_seconds metrics and need both sequential row-to-row change analysis and a keyed comparison between two datasets in a single low-cost call ($0.01 USDC for both reports). Best suited for VFX/rendering pipeline audits, before-and-after pipeline change validation, or regression detection on compositing graph complexity or render performance — where no live data lookup or external enrichment is needed and all analysis is performed on user-supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:45.191Z","isFirstParty":false,"canonicalSlug":"compositing-graphs-adjacent-row-changes-keyed-dataset-comparison-31db5496"}