{"uid":"cap_-VggzTmDZbNuXMc4yIyeS","slug":"compositing-graphs-base-100-series-date-by-category-pivot-8a8306c1","name":"Compositing Graphs — Base-100 Series + Date by Category Pivot","description":"Compositing graphs — Base-100 series + Date by category pivot: Base-100 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-09-167?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_UAmfpzGXwP3r5aE8WMhT2","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 (Base-100 indexed series and Date-by-category pivot) from user-supplied compositing graph records with node_count and render_seconds metrics.","exampleAgentPrompt":"I have 4 compositing graph records — group-a on 2026-10-01 with node_count 10 and render_seconds 1, group-b on 2026-10-02 with node_count 20 and render_seconds 2, group-a on 2026-10-03 with node_count 15 and render_seconds 3, and group-b on 2026-10-04 with node_count 30 and render_seconds 4 — can you run a Base-100 series and a date-by-category pivot on the node_count field, rebasing from the first row?","exampleUseCases":[{"title":"Benchmark compositing growth by asset group","prompt":"Here are my compositing pipeline records for October — 4 rows with asset groups 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, node_counts of 10, 20, 15, 30 and render_seconds of 1, 2, 3, 4. Can you rebase the render_seconds to Base-100 starting at row 0 and also pivot the data by date and asset group?"},{"title":"Track render time evolution across shot categories","prompt":"I've got compositing job data across two shot categories over a month — 8 rows with dates, asset groups, node counts, and render times. Please run both a Base-100 series on render_seconds starting from row 0 and a date-by-category pivot table so I can see how each group's render time evolved relative to its starting point."},{"title":"Compare node complexity trends for post-production review","prompt":"We're doing a post-production review and I need to index our compositing node_count data to 100 from the first entry and also get a pivot showing node_count by date and asset group. I have 12 rows of compositing records with asset groups 'fx', 'matte', and 'comp' across different dates — can you run both reports?"}],"resultDescription":"Returns two independent analytical reports computed locally from the supplied data: (1) a Base-100 indexed time series rebasing the selected metric (node_count or render_seconds) to 100 at the specified base_index row, showing relative change across rows; and (2) a Date-by-category pivot table cross-tabulating the selected metric by date and asset_group. Up to 200 input rows supported.","failureModes":["Missing required fields (row_id, asset_group, date, node_count, render_seconds) causes validation error","Date strings not matching YYYY-MM-DD pattern are rejected","Fewer than 1 or more than 200 rows causes schema validation failure","base_index pointing to a row with a null metric value may produce undefined base normalization","Supplying non-numeric values for node_count or render_seconds causes type errors","Payment failure (insufficient USDC balance) results in 402 response before processing"],"whenToPreferThis":"Choose this endpoint when you have compositing pipeline data (node counts and render seconds per asset group over time) and need both a Base-100 rebased trend series and a date-by-category pivot in a single low-cost call ($0.01 USDC). It is ideal for offline/batch analytical reporting on supplied data without requiring external data sources, live lookups, or prediction models. Prefer alternatives if you need real-time rendering metrics, predictive modeling, or reports on non-compositing domains.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:27.711Z","isFirstParty":false,"canonicalSlug":"compositing-graphs-base-100-series-date-by-category-pivot-8a8306c1"}