{"uid":"cap_itSI41F3ZPsPQUyFkxCCO","slug":"compositing-graphs-category-frequencies-base-100-series-ed5f46a7","name":"Compositing Graphs — Category Frequencies + Base-100 Series","description":"Compositing graphs — Category frequencies + Base-100 series: Category frequencies + Base-100 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-09-105?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_UnP6DC2pFm_GvfXUq3g5_","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 category frequency distributions and base-100 indexed time series for node_count or render_seconds metrics.","exampleAgentPrompt":"Analyze my compositing graph data — I have rows with asset_group, date, node_count, and render_seconds fields — and give me both a category frequency report and a base-100 indexed series for node_count, using row index 0 as the baseline.","exampleUseCases":[{"title":"Render time frequency by asset group","prompt":"I have compositing job logs with asset_group and render_seconds for each job. Can you run a category frequency analysis and a base-100 series on render_seconds, starting from the first row as index 0?"},{"title":"Node count trend indexed to baseline","prompt":"Here's my compositing graph data with node counts per date across two asset groups — run the category frequencies and base-100 index on node_count so I can see how node complexity has grown relative to the first record."},{"title":"Pipeline performance distribution analysis","prompt":"I want to understand how evenly distributed my compositing workloads are across asset groups. Compute the category frequencies and a base-100 series for render_seconds on this dataset of 50 compositing graph rows, using row 0 as the base."}],"resultDescription":"Returns two independent analytical reports: (1) a category frequency table showing how often each asset_group appears, and (2) a base-100 indexed time series for the selected metric (node_count or render_seconds), where the value at the chosen base_index row is set to 100 and all other values are scaled proportionally. Supports up to 200 input rows per call.","failureModes":["Missing required row fields (row_id, asset_group, date, node_count, render_seconds) causes validation error","date field not matching YYYY-MM-DD pattern returns schema error","base_index value out of range (>=number of rows supplied) causes index error","Empty rows array rejected (minItems: 1)","Exceeding 200 rows returns error (maxItems: 200)","Null metric values may affect base-100 calculation if base row itself is null"],"whenToPreferThis":"Choose this endpoint when you have compositing graph data with asset_group and numeric rendering metrics and need both a categorical frequency breakdown and a time-indexed normalized series in a single $0.01 call. It is purpose-built for compositing pipeline analytics (node counts, render durations) and delivers two reports at once without requiring external data sources or live lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:35.750Z","isFirstParty":false,"canonicalSlug":"compositing-graphs-category-frequencies-base-100-series-ed5f46a7"}