{"uid":"cap_tlIC_DCRm5hszvDptvCSE","slug":"compositing-graphs-category-frequencies-adjacent-row-changes-e59ce153","name":"Compositing Graphs — Category Frequencies + Adjacent Row Changes","description":"Compositing graphs — Category frequencies + Adjacent row changes: Category frequencies + Adjacent row changes 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-09-104?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"}}},"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_eoL6ofoXZNVDXXyl1aOMQ","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 or render_seconds) to produce category frequency distributions and adjacent row change reports in a single call.","exampleAgentPrompt":"Can you analyze my compositing graph data — I have 4 rows with node counts (10, 20, 15, 30) across asset groups A and B on dates 2026-10-01 through 2026-10-04 — and give me both the category frequencies and the adjacent row changes for node_count?","exampleUseCases":[{"title":"Asset group frequency audit","prompt":"I have a list of 50 compositing graph records with asset groups and render_seconds values — can you tell me how often each asset group appears and how render_seconds changes from one row to the next?"},{"title":"Node count change detection","prompt":"Here are 120 rows of compositing job data with node counts per date — please run both a category frequency report and an adjacent row change analysis on node_count so I can spot any sudden spikes."},{"title":"Render pipeline bottleneck analysis","prompt":"I want to understand my compositing render times better — can you take these 80 records and show me the frequency of each asset group alongside how render_seconds shifts between consecutive rows?"}],"resultDescription":"Two independent analytical reports: (1) a category frequency table showing how often each asset_group value appears in the supplied rows, and (2) an adjacent row change report showing the difference in the selected numeric field (node_count or render_seconds) between consecutive rows — both computed locally on up to 200 supplied records.","failureModes":["Exceeding 200 rows causes rejection — trim dataset to fit the limit","Missing required fields (row_id, asset_group, date, node_count, render_seconds) cause validation errors","Invalid date format (must match YYYY-MM-DD pattern) causes schema rejection","Field selector must be exactly 'node_count' or 'render_seconds' — other values are rejected","Empty rows array returns an error — at least 1 row is required"],"whenToPreferThis":"Choose this endpoint when you need two complementary views — category frequency distribution and sequential row-to-row change detection — on compositing graph data (node_count or render_seconds) in a single low-cost call. It is ideal for small-to-medium datasets (up to 200 rows) where all data is supplied directly rather than fetched live, making it suitable for offline or agent-embedded analytics pipelines in VFX or rendering contexts.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:42:57.056Z","isFirstParty":false,"canonicalSlug":"compositing-graphs-category-frequencies-adjacent-row-changes-e59ce153"}