{"uid":"cap_x0nmzrhh-hnYwT-x1ZieM","slug":"render-jobs-adjacent-row-changes-and-explicit-missing-value-fill-78d2157f","name":"Render Jobs Adjacent Row Changes and Explicit Missing-Value Fill","description":"Render jobs — Adjacent row changes + Explicit missing-value fill: Adjacent row changes + 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-02-162?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_0xveh9IDJ0WIhmU0Okp00","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":"Analyzes render job records (render_seconds, sample_count) to produce adjacent row change reports and fill missing values using zero, mean, or median imputation — up to 200 rows, 2 reports per call.","exampleAgentPrompt":"I have a list of up to 50 render job records with render_seconds and sample_count — can you run an adjacent row changes report on render_seconds and also fill any missing values using median imputation?","exampleUseCases":[{"title":"Identify render time spikes between frames","prompt":"Here are my render job records for the past week grouped by asset_group and date — run an adjacent row changes report on render_seconds so I can see where rendering time jumped or dropped between consecutive jobs."},{"title":"Clean missing sample counts before analysis","prompt":"My render pipeline export has some null sample_count values — can you fill those in using the mean of the other rows and also show me the adjacent row changes for sample_count across these 120 records?"},{"title":"Audit render data quality across asset groups","prompt":"I've got render job data across two asset groups for October — run the adjacent row changes and median missing-value fill on render_seconds so I can spot anomalies before sending the report to the team."}],"resultDescription":"Returns two analytical reports for the submitted render job rows: (1) an adjacent row changes report showing delta values between consecutive rows for the selected field, and (2) a dataset with missing values in the selected field explicitly filled using the chosen method (zero, mean, or median). Up to 200 rows processed per call.","failureModes":["Fewer than 1 row submitted — request rejected","More than 200 rows submitted — exceeds maximum row limit","Invalid date format (not YYYY-MM-DD) — validation error","Unknown fill method value outside zero/mean/median enum — rejected","Missing required fields (row_id, date) on any row — schema error","Numeric values outside allowed range (-1e12 to 1e12) — validation failure"],"whenToPreferThis":"Choose this endpoint when you have tabular render job data with render_seconds or sample_count fields and need both row-to-row change detection and missing-value imputation in a single low-cost call. Ideal for creative pipeline QA workflows where you want to clean and audit data locally without external lookups or predictions. Best for batch sizes up to 200 rows where two combined analytical reports add efficiency over separate calls.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T06:49:45.937Z","isFirstParty":false,"canonicalSlug":"render-jobs-adjacent-row-changes-and-explicit-missing-value-fill-78d2157f"}