{"uid":"cap_HXo7vBLF2hzhForyUhfJ2","slug":"render-jobs-record-quality-audit-explicit-missing-value-fill-a2d3947c","name":"Render Jobs Record Quality Audit + Explicit Missing-Value Fill","description":"Render jobs — Record quality audit + Explicit missing-value fill: Record quality audit + 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-02-019?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_t1R8LLLeiHuRITWQrd74M","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":"Audits data quality and fills missing values in render job records (render_seconds, sample_count) for up to 200 rows, producing two independent analytical reports.","exampleAgentPrompt":"Can you audit the quality of these render job records and fill in any missing render_seconds values using the median method? I have about 50 rows with columns row_id, asset_group, date, render_seconds, and sample_count.","exampleUseCases":[{"title":"Rendering pipeline data quality check","prompt":"I have 120 render job rows from last month with render_seconds and sample_count fields — some values are null. Can you run a quality audit on them and fill the missing render_seconds using median imputation?"},{"title":"Asset group missing sample count fill","prompt":"My render job dataset has about 80 rows grouped by asset_group and I need to fill in all the missing sample_count values using the mean method, plus get a quality audit report on the whole dataset."},{"title":"Pre-analysis render data validation","prompt":"Before I run my analysis, can you check these 40 render job records for data quality issues and replace any missing render_seconds with zeros? The rows have row_id, asset_group, date, render_seconds, and sample_count."}],"resultDescription":"Two independent reports: (1) a record quality audit identifying data issues, completeness gaps, and anomalies across the submitted render job rows; (2) an explicit missing-value fill report showing imputed values for the specified field (render_seconds or sample_count) using the chosen method (zero, mean, or median). No external lookups or predictions are made; all analysis is performed on the supplied data only.","failureModes":["Rows array exceeds 200 items — request rejected","Invalid date format not matching YYYY-MM-DD pattern","Missing required fields (row_id, asset_group, date) in any row","Invalid method enum value outside zero/mean/median","Invalid field enum value outside render_seconds/sample_count","Empty rows array (minItems: 1 not satisfied)","Payment of 0.01 USDC not completed — 402 response"],"whenToPreferThis":"Choose this endpoint when you have render job tabular data (up to 200 rows) and need both a quality audit and missing-value imputation in a single low-cost call. It is ideal for preprocessing rendering pipeline logs before downstream analysis, when you need a combined quality + imputation report without building custom analytical logic. Best suited for offline/batch data cleaning tasks rather than real-time streaming data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:00.083Z","isFirstParty":false,"canonicalSlug":"render-jobs-record-quality-audit-explicit-missing-value-fill-a2d3947c"}