{"uid":"cap_UHk-rTRD2O7uOgh1leg8q","slug":"render-jobs-base-100-series-date-by-category-pivot-d0df576f","name":"Render Jobs Base-100 Series + Date by Category Pivot","description":"Render jobs — Base-100 series + Date by category pivot: Base-100 series + Date by category pivot for supplied render jobs records (render_seconds, sample_count). 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-02-167?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","render_seconds","sample_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"asset_group":{"type":"string","default":"","maxLength":80},"sample_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"render_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","asset_group":"group-a","sample_count":1,"render_seconds":10},{"date":"2026-10-02","row_id":"row-2","asset_group":"group-b","sample_count":2,"render_seconds":20},{"date":"2026-10-03","row_id":"row-3","asset_group":"group-a","sample_count":3,"render_seconds":15},{"date":"2026-10-04","row_id":"row-4","asset_group":"group-b","sample_count":4,"render_seconds":30}],"maxItems":200,"minItems":1},"field":{"enum":["render_seconds","sample_count"],"type":"string","default":"render_seconds"},"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_lhzJE9MOlH564yiulFBbc","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 a Base-100 index series and a date-by-category pivot table from supplied render job records (render_seconds, sample_count) for up to 200 rows.","exampleAgentPrompt":"Can you run a base-100 index series and a date-by-category pivot on these render job records — indexing from row 0 on the render_seconds field? I have up to 50 rows with columns row_id, asset_group, date, render_seconds, and sample_count.","exampleUseCases":[{"title":"Benchmarking render times across asset groups","prompt":"I have render job logs for our animation pipeline — can you index the render_seconds to a base-100 series starting from the first row, and also pivot the data by date and asset group so I can see how each group's render time trends over time?"},{"title":"Tracking sample count growth over a sprint","prompt":"We collected sample_count data across two asset groups over the past two weeks. Can you generate a base-100 index on sample_count starting at row 0 and create a date-by-category pivot so I can see which group scaled faster?"},{"title":"Comparing rendering efficiency after a pipeline change","prompt":"After our render pipeline update, I want to compare performance — can you take these render job records and produce both a base-100 normalized series on render_seconds (baseline at row 0) and a pivot table breaking it down by asset group and date?"}],"resultDescription":"Returns two analytical reports: (1) a Base-100 index series for the chosen field (render_seconds or sample_count), normalized relative to the specified base row index, and (2) a date-by-category pivot table grouping the same field by date and asset_group. Both reports are computed locally from the supplied row data, with no external lookups or predictions.","failureModes":["Fewer than 1 row supplied — minimum 1 row required","More than 200 rows supplied — maxItems limit exceeded, request rejected","Invalid date format (not YYYY-MM-DD) — pattern validation failure","base_index out of range (0–199) — validation error","Null numeric values may affect index computation if base row has null render_seconds or sample_count","Missing required fields (row_id, asset_group, date, render_seconds, sample_count) — schema validation error","Payment of 0.01 USDC not completed — x402 payment required before processing"],"whenToPreferThis":"Choose this endpoint when you have raw render job records with date, asset_group, render_seconds, and/or sample_count fields and need both a time-normalized Base-100 index series and a date-by-category pivot in a single call. Ideal for creative production analytics pipelines, render farm performance benchmarking, or sprint-over-sprint comparisons across asset groups. It is not appropriate for live render monitoring, predictive modeling, or datasets exceeding 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:41:31.948Z","isFirstParty":false,"canonicalSlug":"render-jobs-base-100-series-date-by-category-pivot-d0df576f"}