{"uid":"cap_lTg33Mu648ld9ofzmbNt9","slug":"compositing-graphs-numeric-distribution-adjacent-row-changes-db84ddba","name":"Compositing Graphs — Numeric Distribution + Adjacent Row Changes","description":"Compositing graphs — Numeric distribution + Adjacent row changes: Numeric distribution + Adjacent row changes 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-09-077?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_Qn_Hrj2Xy7UswvViM9xtl","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":"Analyzes compositing graph records by computing numeric distribution statistics and adjacent row change metrics for node_count or render_seconds fields across up to 200 rows.","exampleAgentPrompt":"Can you run a numeric distribution and adjacent row change analysis on my compositing graph data — here are 4 rows with dates 2026-10-01 through 2026-10-04, asset groups group-a and group-b, node counts 10, 20, 15, 30, and render seconds 1, 2, 3, 4 — analyze the node_count field?","exampleUseCases":[{"title":"Render time variance across pipeline stages","prompt":"I have compositing graph records for this week's render jobs — 150 rows with node counts and render seconds per asset group — can you run a numeric distribution and row-to-row change report on the render_seconds field so I see where the biggest time jumps happen?"},{"title":"Node count spike detection in compositing graphs","prompt":"Here's my compositing graph data with 80 rows covering asset groups alpha, beta, and gamma — run a numeric distribution plus adjacent row changes analysis on node_count so I can spot where the graph complexity spikes between frames."},{"title":"Asset group comparison via distribution stats","prompt":"I want to understand how render seconds are distributed across my compositing shots — I have 200 rows of compositing graph records by asset group and date, can you give me the numeric distribution and show how render_seconds change between consecutive rows?"}],"resultDescription":"Returns two independent analytical reports for the selected numeric field (node_count or render_seconds): (1) a numeric distribution report showing statistical spread such as min, max, mean, median, percentiles, and frequency; (2) an adjacent row changes report showing the delta between each consecutive row's value, highlighting magnitude and direction of changes. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Missing required row fields (row_id, date, asset_group, node_count, render_seconds) causes validation error","More than 200 rows submitted exceeds the maxItems limit","Invalid date format (not YYYY-MM-DD) causes schema rejection","Numeric values outside ±1,000,000,000,000 range cause validation failure","Empty rows array (minItems: 1 not met) causes rejection","Invalid field enum value (must be 'node_count' or 'render_seconds') causes error"],"whenToPreferThis":"Choose this endpoint when you have compositing graph tabular data (with node_count and render_seconds fields) and need both a statistical distribution summary AND a consecutive-row delta analysis in a single low-cost call. It is purpose-built for compositing pipeline analytics and requires no external data sources — all computation is local to the submitted rows. Prefer this over generic statistics APIs when your data fits the compositing graph schema and you need both report types bundled at $0.01 USDC.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:42:16.560Z","isFirstParty":false,"canonicalSlug":"compositing-graphs-numeric-distribution-adjacent-row-changes-db84ddba"}