{"uid":"cap_YqRfpqSnpdEI18ZJ4erv6","slug":"compositing-graphs-daily-sum-series-iqr-outlier-flags-33003926","name":"Compositing Graphs — Daily Sum Series + IQR Outlier Flags","description":"Compositing graphs — Daily sum series + IQR outlier flags: Daily sum series + IQR outlier flags 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-09-140?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_KDaWpoE7WhciDPJrAoMDf","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 time series and IQR-based outlier flags for compositing graph records (node_count or render_seconds) from up to 200 supplied rows.","exampleAgentPrompt":"Can you analyze this compositing graph data — here are 50 rows with date, asset_group, node_count, and render_seconds — and give me the daily sum series plus IQR outlier flags for the node_count field?","exampleUseCases":[{"title":"Detect anomalous render days in pipeline","prompt":"I have compositing job logs for the past month — each row has a date, asset_group, node_count, and render_seconds. Can you compute the daily sums and flag any days where render_seconds looks like an outlier using IQR?"},{"title":"Monitor node count spikes across asset groups","prompt":"Here are my compositing graph records for this quarter, up to 180 rows. Give me a daily sum series and IQR outlier flags for node_count so I can see which days had unusually high compositing complexity."},{"title":"QA compositing data before delivery","prompt":"Before I send this compositing dataset to the client, can you run a daily sum and IQR outlier check on the node_count values across these 120 rows to see if anything looks suspicious?"}],"resultDescription":"Returns two independent reports: (1) a daily sum time series aggregating the selected field (node_count or render_seconds) by date, and (2) IQR-based outlier flags identifying rows or dates with values outside the interquartile range. Both reports are computed locally from the supplied data without external lookups.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, date, asset_group, node_count, render_seconds) — validation error","Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure","Field value outside allowed numeric range (±1 trillion) — schema rejection","Empty rows array — minimum 1 item required","Payment of 0.01 USDC not completed — 402 response"],"whenToPreferThis":"Choose this endpoint when you have compositing graph records (with node_count and render_seconds fields) and need both a daily aggregated time series and statistical outlier detection in a single call. It is ideal for media/VFX pipeline monitoring, render farm QA, and compositing workflow analytics where you supply your own data and need fast, local IQR-based anomaly flagging without any external data lookup or prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:15.311Z","isFirstParty":false,"canonicalSlug":"compositing-graphs-daily-sum-series-iqr-outlier-flags-33003926"}