{"uid":"cap_eOo9OeJ4TYdJ8Sck5pkqH","slug":"compositing-graphs-numeric-distribution-date-by-category-pivot-c717badb","name":"Compositing Graphs — Numeric Distribution + Date by Category Pivot","description":"Compositing graphs — Numeric distribution + Date by category pivot: Numeric distribution + 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-09-083?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_Us2zEfAveXFnrC3EFKVv_","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":"Runs two analytical reports on compositing graph records: a numeric distribution of node_count or render_seconds, and a date-by-category pivot table grouped by asset_group.","exampleAgentPrompt":"I have compositing graph data with node counts and render times across different asset groups — can you run a numeric distribution analysis and a date-by-category pivot on these records, using node_count as the analysis field?","exampleUseCases":[{"title":"Render time distribution for pipeline audit","prompt":"Here's our compositing job log with render_seconds and node_count per asset group — can you give me a numeric distribution of render_seconds and a pivot of values by date and asset group so I can spot bottlenecks?"},{"title":"Node count analysis across asset groups","prompt":"I want to understand how node counts are spread across our compositing groups — run a numeric distribution on node_count and show me a date-by-category pivot for these records I'm uploading."},{"title":"Compositing performance comparison by category","prompt":"Can you analyze these compositing graph records and produce both a distribution of node_count values and a pivot table breaking down render_seconds by asset_group and date?"}],"resultDescription":"Two independent analytical reports: (1) a numeric distribution (e.g. histogram-style breakdown, percentiles, or frequency summary) of the chosen field (node_count or render_seconds), and (2) a date-by-category pivot table crossing the date dimension against asset_group categories — both computed locally on up to 200 supplied rows.","failureModes":["Fewer than 1 row provided — minimum row count not met","More than 200 rows supplied — exceeds maximum limit","Missing required fields (row_id, asset_group, date, node_count, render_seconds) in any row","Date field not matching YYYY-MM-DD pattern — validation error","Numeric fields out of allowed range (±1 trillion) — schema rejection","Invalid field enum value (not node_count or render_seconds) — rejected"],"whenToPreferThis":"Choose this endpoint when you have compositing graph records with node counts and render durations grouped by asset categories and need two offline analytical views — a numeric distribution and a date/category pivot — without requiring any live data lookup or external prediction. Ideal for post-hoc pipeline performance analysis on batches up to 200 rows at very low cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:45.192Z","isFirstParty":false,"canonicalSlug":"compositing-graphs-numeric-distribution-date-by-category-pivot-c717badb"}