{"uid":"cap_d7QYwcKJjG9IlQ8dd-xeY","slug":"compositing-graphs-adjacent-row-changes-base-100-series-5cff049d","name":"Compositing Graphs — Adjacent Row Changes + Base-100 Series","description":"Compositing graphs — Adjacent row changes + Base-100 series: Adjacent row changes + Base-100 series 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-09-155?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":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_YMU_E4F7vUR9yesjW7vij","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 adjacent row changes and base-100 indexed series for compositing graph metrics (node_count, render_seconds) over up to 200 supplied rows.","exampleAgentPrompt":"I have compositing graph data with node_count and render_seconds across several dates and asset groups — can you run both an adjacent row changes report and a base-100 series (indexed from row 0) on the node_count field for up to 200 rows?","exampleUseCases":[{"title":"Render time delta analysis for VFX pipeline","prompt":"Here are my daily compositing job records with node counts and render seconds across two asset groups over the past month — please compute the adjacent row changes in render_seconds so I can see which days had the biggest jumps in render time."},{"title":"Node count growth indexed to baseline","prompt":"I want to index my compositing graph node_count data to base 100 starting from the first row, so I can compare growth across different asset groups on a normalized scale — can you run the base-100 series report on this dataset?"},{"title":"Dual-report compositing performance review","prompt":"Can you give me both the adjacent row changes and the base-100 series for render_seconds in my compositing data, using row 0 as the base index? I have about 150 rows covering different dates and asset groups."}],"resultDescription":"Returns two analytical reports: (1) adjacent row changes showing the difference in the selected metric (node_count or render_seconds) between consecutive rows, and (2) a base-100 series indexing the selected metric relative to a specified baseline row. Both reports are computed locally on the supplied data with no external lookups.","failureModes":["Fewer than 1 or more than 200 rows submitted — validation error","Invalid date format (not YYYY-MM-DD) — schema rejection","base_index out of range (must be 0–199 and within row count) — error response","Null values in node_count or render_seconds may produce null deltas or index values","Missing required fields (row_id, date, asset_group) — schema rejection"],"whenToPreferThis":"Choose this endpoint when you have compositing graph time-series data (node counts and render durations) and need both period-over-period change analysis and base-100 normalization in a single low-cost call. It is ideal for VFX/rendering pipeline analytics where you want to compare job complexity or performance across dates and asset groups without external data dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:42:33.518Z","isFirstParty":false,"canonicalSlug":"compositing-graphs-adjacent-row-changes-base-100-series-5cff049d"}