{"uid":"cap_6vFFeOW2JuZ-nf-E0Louv","slug":"compositing-graphs-daily-sum-series-and-date-by-category-pivot-96875c89","name":"Compositing Graphs Daily Sum Series and Date by Category Pivot","description":"Compositing graphs — Daily sum series + Date by category pivot: Daily sum series + Date by category pivot 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-09-143?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_U0kl3_hM-2wj4mHPD0w8Y","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 — a daily sum time series and a date-by-category pivot table — for compositing graph metrics (node_count, render_seconds) from supplied row data.","exampleAgentPrompt":"Take these compositing graph records — rows with dates, asset groups, node counts, and render seconds — and give me both a daily sum series and a date-by-category pivot for the node_count field, up to 200 rows.","exampleUseCases":[{"title":"Daily render time trends by asset group","prompt":"I have a CSV of compositing job logs with columns for date, asset_group, node_count, and render_seconds — can you pivot the render_seconds by date and asset group, and also show me the daily totals over the past month?"},{"title":"Pipeline node count time series analysis","prompt":"Here are my compositing graph records for the last quarter, each with a date, asset group, and node count — give me a daily sum series and a category pivot for node_count so I can spot which groups are driving the most graph complexity."},{"title":"VFX production workload reporting","prompt":"I want to understand our VFX compositing workload: I'll give you up to 200 rows with dates, asset groups, and render seconds, and I need a daily total series plus a breakdown of render_seconds by asset group per date."}],"resultDescription":"Two independent analytical reports: (1) a daily sum time series showing totals of the selected metric (node_count or render_seconds) aggregated by date, and (2) a date-by-category pivot table breaking down the metric values by asset_group for each date — both computed locally from the supplied rows without any external data lookup.","failureModes":["Fewer than 1 row supplied — validation error","More than 200 rows supplied — request rejected","Missing required fields (row_id, asset_group, date, node_count, render_seconds) on any row — schema validation failure","Invalid date format (must be YYYY-MM-DD) — pattern validation error","Numeric values out of range (beyond ±1,000,000,000,000) — schema rejection","Payment not included or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you have compositing graph records (with node_count and render_seconds metrics) and need both a time-series daily aggregation and a category pivot in a single call. It is purpose-built for compositing/rendering pipeline data analysis and is ideal when you want two reports from one $0.01 payment without needing live data, external APIs, or predictive modeling.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:42:46.471Z","isFirstParty":false,"canonicalSlug":"compositing-graphs-daily-sum-series-and-date-by-category-pivot-96875c89"}