{"uid":"cap_wIfmDBJjBdXAdRqkgj54v","slug":"compositing-graphs-grouped-numeric-summary-daily-sum-series-d664b32d","name":"Compositing Graphs — Grouped Numeric Summary + Daily Sum Series","description":"Compositing graphs — Grouped numeric summary + Daily sum series: Grouped numeric summary + Daily sum 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-09-089?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_pKaNrP6SH5YBCoB1NkMsH","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":"Generates two analytical reports for compositing graph data: a grouped numeric summary and a daily sum time series, for node_count or render_seconds metrics.","exampleAgentPrompt":"I have compositing job records with node counts and render seconds across asset groups — can you run a grouped numeric summary and a daily sum series on node_count for these rows: [{\"row_id\":\"r1\",\"asset_group\":\"hero-shots\",\"date\":\"2026-10-01\",\"node_count\":120,\"render_seconds\":450},{\"row_id\":\"r2\",\"asset_group\":\"backgrounds\",\"date\":\"2026-10-01\",\"node_count\":80,\"render_seconds\":300},{\"row_id\":\"r3\",\"asset_group\":\"hero-shots\",\"date\":\"2026-10-02\",\"node_count\":150,\"render_seconds\":600}]?","exampleUseCases":[{"title":"Render farm daily throughput tracking","prompt":"Here's my compositing log for last week — each row has the asset group, date, node count, and render seconds. Can you give me a grouped numeric summary plus a daily sum series for render_seconds so I can see how throughput varied each day?"},{"title":"Asset group node usage comparison","prompt":"I've got 80 rows of compositing graph data with node counts across five asset groups over a month. Can you run both a grouped numeric summary and a daily sum series on node_count so I can compare which groups are consuming the most nodes?"},{"title":"Pipeline efficiency report for compositing team","prompt":"My team's compositing records for Q3 are ready — up to 200 rows with dates, asset_group, node_count, and render_seconds. Please generate a grouped numeric summary and daily totals for render_seconds so we can present an efficiency report."}],"resultDescription":"Returns two independent analytical reports: (1) a grouped numeric summary of the chosen metric (node_count or render_seconds) broken down by asset_group, including statistics such as count, mean, min, max, and sum per group; and (2) a daily sum time series showing the total value of the chosen metric for each date present in the dataset. Both reports are computed locally from the supplied rows with no external lookups.","failureModes":["Missing required fields (row_id, asset_group, date, node_count, render_seconds) causes validation error","Date values not matching YYYY-MM-DD pattern are rejected","Input array exceeding 200 rows returns an error","Invalid field enum value (not node_count or render_seconds) causes rejection","Empty rows array is not accepted (minItems:1)","Payment failure via x402 protocol results in no response"],"whenToPreferThis":"Choose this endpoint when you have up to 200 compositing graph records and need both a grouped breakdown by asset_group and a daily aggregation trend for either node_count or render_seconds in a single low-cost call. It is ideal for render pipeline analytics where you want per-group statistics alongside a time series without setting up your own analytical infrastructure.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:37.343Z","isFirstParty":false,"canonicalSlug":"compositing-graphs-grouped-numeric-summary-daily-sum-series-d664b32d"}