{"uid":"cap_gj9dCRqI5UKhFfAikc1zn","slug":"render-jobs-daily-sum-series-missing-value-fill-eade720c","name":"Render Jobs Daily Sum Series & Missing-Value Fill","description":"Render jobs — Daily sum series + Explicit missing-value fill: Daily sum series + Explicit missing-value fill 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-02-145?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_FPc1TK3hFfs9Zia9Qv7uT","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 fills missing values for render job records (render_seconds or sample_count) across up to 200 rows.","exampleAgentPrompt":"Take these render job records for asset groups A and B across October 2026 and give me a daily sum series for render_seconds, filling any missing dates using the median — I have about 4 rows to process.","exampleUseCases":[{"title":"Daily render load trend analysis","prompt":"I have 150 render job records with dates, asset groups, and render_seconds. Can you sum them up by day and fill any missing dates with the median render time so I can see the daily workload trend?"},{"title":"Sample count gap filling for pipeline audit","prompt":"Our render pipeline has gaps in sample_count data for some days. Can you take our 80 rows of render job data and produce a daily sum series for sample_count, using zero to fill in any missing days?"},{"title":"Asset group rendering aggregation","prompt":"I need to aggregate render_seconds across all our asset groups by day — here are 200 rows of render job logs. Can you run a daily sum series and fill missing values using the mean?"}],"resultDescription":"Returns two reports: (1) a daily sum time series showing the total of the chosen metric (render_seconds or sample_count) per date, and (2) the same dataset with explicit missing-value fill applied using the chosen method (zero, mean, or median). Up to 200 input rows supported.","failureModes":["Input array exceeds 200 rows — request will be rejected","Missing required fields (row_id, date, asset_group) cause row-level errors","Invalid date format (must be YYYY-MM-DD) causes parse failure","No rows provided (minItems:1 violated) causes empty-input error","Null numeric values without a fill method fallback may produce incomplete series"],"whenToPreferThis":"Choose this endpoint when you have raw render job records (with render_seconds or sample_count) and need both a daily aggregated time series and missing-value imputation in a single low-cost call. Ideal for creative/animation pipelines needing lightweight offline analytics without external data lookups or real-time processing.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:42:34.347Z","isFirstParty":false,"canonicalSlug":"render-jobs-daily-sum-series-missing-value-fill-eade720c"}