{"uid":"cap_qB0E2bdH_FvJmfvX0FFY9","slug":"render-jobs-grouped-numeric-summary-explicit-missing-value-fill-05de2d2d","name":"Render Jobs Grouped Numeric Summary + Explicit Missing-Value Fill","description":"Render jobs — Grouped numeric summary + Explicit missing-value fill: Grouped numeric summary + 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-02-099?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_aDS378JxOzWit20C54sg-","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 grouped numeric summaries and fills missing values (via zero, mean, or median) for render job records containing render_seconds and sample_count fields.","exampleAgentPrompt":"Can you summarize my render job records grouped by asset_group and fill any missing render_seconds values using the median? Here are up to 200 rows with row_id, asset_group, date, render_seconds, and sample_count fields.","exampleUseCases":[{"title":"Impute missing render times by median","prompt":"I have a batch of render job logs with some null render_seconds values — can you fill those in using the median and give me a grouped summary by asset_group?"},{"title":"Aggregate sample counts by asset group","prompt":"Can you group my render job records by asset_group and compute a numeric summary of sample_count, filling any missing values with zero?"},{"title":"Audit render pipeline data completeness","prompt":"I want to summarize our render_seconds data grouped by asset category and use mean imputation for any gaps — here are my 150 render job rows."}],"resultDescription":"Returns two independent analytical reports: (1) a grouped numeric summary of the specified field (render_seconds or sample_count) broken down by asset_group, and (2) the dataset with missing values in the specified field explicitly filled using the chosen method (zero, mean, or median). Up to 200 input rows are supported.","failureModes":["Rows exceeding the 200-item limit will be rejected","Missing required fields (row_id, asset_group, date, render_seconds, sample_count) will cause validation errors","Invalid date format (non YYYY-MM-DD) will be rejected","Numeric values outside allowed range (-1T to +1T) will fail schema validation","Payment not included or insufficient USDC will result in 402 response"],"whenToPreferThis":"Choose this endpoint when you have render job tabular data (up to 200 rows) and need both a grouped statistical summary and missing-value imputation in a single call for fields render_seconds or sample_count. Ideal for creative/rendering pipeline analytics where offline computation is sufficient and no live data lookup or prediction is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:42:35.638Z","isFirstParty":false,"canonicalSlug":"render-jobs-grouped-numeric-summary-explicit-missing-value-fill-05de2d2d"}