{"uid":"cap_QNTpjifthCe6Wsqc_6PrO","slug":"compositing-graphs-daily-sum-series-trailing-mean-series-342991b0","name":"Compositing Graphs — Daily Sum Series + Trailing Mean Series","description":"Compositing graphs — Daily sum series + Trailing mean series: Daily sum series + Trailing mean 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-09-136?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_uBTCiKeskWZ-7DP6P8cJ9","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 daily sum series and trailing mean series for compositing graph metrics (node_count, render_seconds) from supplied row data, returning two analytical reports.","exampleAgentPrompt":"Analyze my compositing graph data — here are 4 rows with dates from 2026-10-01 to 2026-10-04, asset groups group-a and group-b, with node_count values 10, 20, 15, 30 and render_seconds 1, 2, 3, 4 — give me the daily sum series and trailing mean series for node_count using a window of 3.","exampleUseCases":[{"title":"Tracking node count trends over a sprint","prompt":"I have two weeks of compositing job records with dates, asset groups, and node counts — can you compute the daily sum and a 7-day trailing mean for node_count so I can see how render complexity trended across the sprint?"},{"title":"Smoothing render time spikes for reporting","prompt":"My compositing pipeline logs have about 150 rows covering the last quarter, each with a date and render_seconds value. Can you give me the daily total render seconds and a 5-day rolling mean so I can spot anomalies and smooth out the spikes for my report?"},{"title":"Comparing asset group performance over time","prompt":"I've got compositing graph data for multiple asset groups from October — please compute the daily sum and trailing mean with a window of 4 for render_seconds so I can compare how each group's render load evolved day by day."}],"resultDescription":"Returns two independent analytical reports for up to 200 rows: (1) a daily sum series aggregating the chosen metric (node_count or render_seconds) by date, and (2) a trailing mean series computed over the specified rolling window — both derived from the supplied compositing graph records using local analytical engines, with no external lookups.","failureModes":["Missing required fields (row_id, date, asset_group, node_count, render_seconds) cause validation errors","Date strings not matching YYYY-MM-DD pattern are rejected","Row count exceeding 200 items is rejected","Window value outside 2–200 range triggers a validation error","Null numeric values in the selected field may affect aggregation results","Invalid field enum value (not node_count or render_seconds) causes rejection"],"whenToPreferThis":"Choose this endpoint when you have compositing graph records (with node_count and render_seconds metrics) and need both a daily sum time series and a smoothed trailing mean in a single low-cost call. Ideal for creative production pipelines, render farm analytics, or any workflow where you supply your own data and need local aggregation without external API dependencies. Prefer it over generic analytics tools when your data fits the compositing graph schema and you want both reports for $0.01 USDC.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:02.008Z","isFirstParty":false,"canonicalSlug":"compositing-graphs-daily-sum-series-trailing-mean-series-342991b0"}