{"uid":"cap_BmmHdyaeDyxQykQljFlKg","slug":"render-jobs-numeric-row-ordering-and-missing-value-fill-bcaf0017","name":"Render Jobs Numeric Row Ordering and Missing-Value Fill","description":"Render jobs — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + 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-02-124?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_nEhTWMFilNUng0aNq8yGb","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":"Sorts render job records numerically by row and fills missing values in render_seconds or sample_count using zero, mean, or median imputation, producing two analytical reports for up to 200 rows.","exampleAgentPrompt":"Sort my render job records numerically by row and fill any missing render_seconds values using median imputation — here are my rows with dates, asset groups, render_seconds, and sample_counts, up to 200 entries, and I want both analytical reports.","exampleUseCases":[{"title":"Clean render pipeline data for reporting","prompt":"I have a batch of render job records with some missing render_seconds values — can you sort them numerically by row and fill the nulls using median, then give me the two reports? Here's my dataset with row IDs, asset groups, and dates."},{"title":"Impute missing sample counts with zero","prompt":"My render job export has blank sample_count fields scattered throughout — please order all 150 rows numerically and fill those missing sample_count values with zero so I can analyze the cleaned dataset."},{"title":"Mean-fill render seconds for animation studio","prompt":"I've got about 80 render job rows across two asset groups from October 2026, and several render_seconds entries are null — can you sort them by row number and replace the missing render_seconds with the mean value, and produce both reports?"}],"resultDescription":"Returns two analytical reports on the supplied render job records: one showing numerically ordered rows and one with missing values in the specified field (render_seconds or sample_count) filled using the chosen method (zero, mean, or median). No external data is fetched; all computation uses the supplied rows only.","failureModes":["Fewer than 1 row supplied returns an error","More than 200 rows exceeds the limit and is rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Unsupported fill method value outside zero/mean/median is rejected","Numeric values outside allowed range (±1,000,000,000,000) are rejected","Missing required fields (row_id, asset_group, date) cause row-level errors"],"whenToPreferThis":"Choose this endpoint when you have up to 200 render job records (with render_seconds and/or sample_count fields) that need numeric row ordering and missing-value imputation, and you want two structured analytical reports delivered cheaply ($0.01 USDC) without any external lookup or live data enrichment. Prefer this over general data-cleaning tools when your data is specifically structured around render pipeline fields (asset_group, date, render_seconds, sample_count).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:42:41.039Z","isFirstParty":false,"canonicalSlug":"render-jobs-numeric-row-ordering-and-missing-value-fill-bcaf0017"}