{"uid":"cap_VeMNFF7lRksIZsxV_aklt","slug":"compositing-graphs-base-100-series-secondary-measure-weighted-mean-9b1d3ff0","name":"Compositing Graphs — Base-100 Series + Secondary-Measure Weighted Mean","description":"Compositing graphs — Base-100 series + Secondary-measure weighted mean: Base-100 series + Secondary-measure weighted mean 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-09-166?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_GdTc_Zq_amX7vZtPYkhOp","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 base-100 indexed series and secondary-measure weighted mean analytics for compositing graph records (node_count, render_seconds) on up to 200 supplied rows.","exampleAgentPrompt":"I have 4 rows of compositing graph data with node counts and render seconds — can you normalize the node_count values into a base-100 series starting from row index 0, and also compute the secondary-measure weighted mean, for asset groups group-a and group-b across dates 2026-10-01 through 2026-10-04?","exampleUseCases":[{"title":"Baseline render time comparison","prompt":"I've got compositing graph data for 50 assets across the past two months — can you normalize the render_seconds field to a base-100 series starting from the first row, and also give me the weighted mean of render seconds weighted by node count?"},{"title":"Node count growth indexing by asset group","prompt":"Take these 120 rows of compositing graph records with node_count and render_seconds per asset group and date, and produce a base-100 indexed series for node_count starting at row 0, plus a secondary-measure weighted mean across all records."},{"title":"Pipeline efficiency analytics for studio review","prompt":"I need to analyze compositing pipeline efficiency — here are 200 rows of node_count and render_seconds data by asset group. Can you compute both the base-100 index for render_seconds and the weighted mean summary so I can review trends?"}],"resultDescription":"Returns two analytical reports on the supplied compositing graph rows: (1) a base-100 indexed series for the chosen field (node_count or render_seconds) anchored at the specified base_index row, and (2) a secondary-measure weighted mean computed across the dataset. Results are derived entirely from supplied data using local analytical engines with no external lookups.","failureModes":["Missing required row fields (row_id, asset_group, date, node_count, render_seconds) causes validation error","Exceeding 200 rows returns an error or truncated result","Invalid date format (not YYYY-MM-DD) causes schema rejection","base_index out of range (>= number of rows) causes computation error","Null values in node_count or render_seconds may affect weighted mean calculation","Payment failure via x402 protocol prevents execution"],"whenToPreferThis":"Choose this endpoint when you have compositing graph performance data (node counts and render seconds by asset group and date) and need both a base-100 normalized time series and a weighted mean summary in a single call. It is best suited for offline/batch analytics on supplied datasets up to 200 rows, with no need for live data retrieval or external enrichment. Prefer it over general statistics APIs when your domain is specifically graphics compositing pipeline metrics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:42:53.575Z","isFirstParty":false,"canonicalSlug":"compositing-graphs-base-100-series-secondary-measure-weighted-mean-9b1d3ff0"}