{"uid":"cap_m8BxNfzA-l16CO90PkGnw","slug":"render-jobs-numeric-row-ordering-iqr-outlier-flags-40666bc7","name":"Render Jobs Numeric Row Ordering + IQR Outlier Flags","description":"Render jobs — Numeric row ordering + IQR outlier flags: Numeric row ordering + IQR outlier flags 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-02-119?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"}}},"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_gG-xkofCWrei3JaudqgPN","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 by a numeric field and flags statistical outliers using the interquartile range (IQR) method, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have a batch of render job records with render_seconds and sample_count — can you sort them numerically by render_seconds and flag any IQR outliers? Here are up to 50 rows with row IDs, asset groups, and dates.","exampleUseCases":[{"title":"Detect slow renders in pipeline","prompt":"I have 80 render job records from last week with row IDs, asset groups, dates, and render_seconds values — can you sort them by render_seconds and flag any outliers using IQR so I can see which jobs took abnormally long?"},{"title":"Audit sample counts across asset groups","prompt":"Here are 120 render job rows from our October batch — please sort them by sample_count and use IQR outlier detection to flag any rows where the sample count looks anomalous compared to the rest."},{"title":"QA render job dataset before reporting","prompt":"Before I send this render job report to the team, can you run a numeric sort and IQR outlier check on both render_seconds and sample_count across these 60 rows so I can catch any data issues?"}],"resultDescription":"Returns two reports: one with rows ordered by the selected numeric field (render_seconds or sample_count) and one with IQR-based outlier flags indicating which rows fall outside the interquartile range boundaries. All analysis is performed locally on the supplied data with no external lookups.","failureModes":["Fewer than 1 row submitted returns an error","More than 200 rows submitted exceeds limit","Invalid date format (not YYYY-MM-DD) fails schema validation","Missing required fields (row_id, asset_group, date, render_seconds, sample_count) causes rejection","Null numeric values may affect IQR computation","Field selector not in enum ['render_seconds','sample_count'] causes validation error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 render job records and need both a numeric sort and IQR-based outlier detection in a single call without any external data lookups, predictions, or integrations. It is ideal for quick QA of rendering pipeline data, pre-report auditing, or identifying anomalous jobs before escalation. Prefer it over general analytics tools when you specifically need IQR outlier flagging on render_seconds or sample_count fields with minimal cost ($0.01 USDC per call).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:06.728Z","isFirstParty":false,"canonicalSlug":"render-jobs-numeric-row-ordering-iqr-outlier-flags-40666bc7"}