{"uid":"cap_29fjq-Ojk_DzRxJdxl6dG","slug":"render-jobs-daily-sum-series-base-100-series-analyzer-b7cf6853","name":"Render Jobs Daily Sum Series & Base-100 Series Analyzer","description":"Render jobs — Daily sum series + Base-100 series: Daily sum series + Base-100 series 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-02-138?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_JT8yC6tKJNUktvfzTKOuD","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":"Computes a daily sum time series and a base-100 index series for supplied render job records (render_seconds or sample_count), returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have render job logs for October 2026 across two asset groups — here are 4 rows with date, row_id, asset_group, render_seconds, and sample_count. Can you give me a daily sum series and a base-100 index series for render_seconds, using row 0 as the base?","exampleUseCases":[{"title":"Daily render throughput trend for a studio","prompt":"I've got a week of render farm job records with render_seconds per job — can you aggregate them into a daily sum series and also index them to base-100 starting from the first day so I can see the trend, using render_seconds as the field?"},{"title":"Sample count baseline comparison across asset groups","prompt":"Here are 150 render job rows tagged with asset_group and date. Run a daily sum and a base-100 index series on sample_count using row index 0 as the baseline — I want to see how sample volume has shifted relative to day one."},{"title":"Render pipeline capacity monitoring report","prompt":"I need two reports from my render job data: the daily total render seconds summed up, and those same totals normalized to a base-100 index anchored at row 10 — can you process these 80 rows for me?"}],"resultDescription":"Returns two analytical reports: (1) a daily sum series showing the total of the selected metric (render_seconds or sample_count) aggregated by date, and (2) a base-100 index series showing each day's value normalized relative to the value at the specified base index row. Both reports are computed locally from the supplied input rows (up to 200), with no external data lookups.","failureModes":["Input array exceeds 200 rows — request will be rejected or truncated","Missing required fields (row_id, date, render_seconds, sample_count, asset_group) cause row-level errors","Invalid date format (not YYYY-MM-DD) may cause incorrect grouping or rejection","base_index out of range (>=number of rows) causes indexing failure","Null values in render_seconds or sample_count may affect sum accuracy","Payment failure via x402 protocol prevents execution"],"whenToPreferThis":"Choose this endpoint when you have raw render job records and need both a daily aggregated sum and a normalized base-100 trend index in a single API call. It is ideal for creative/media production analytics where you want to track rendering throughput or sample volume over time and compare trends relative to a reference date, without needing external data enrichment or live lookups. The bundled two-report output at $0.01 USDC makes it cost-efficient for batch analytical tasks on datasets up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:12.843Z","isFirstParty":false,"canonicalSlug":"render-jobs-daily-sum-series-base-100-series-analyzer-b7cf6853"}