{"uid":"cap_8R6-la4TdAcQVTzBKv52y","slug":"render-jobs-grouped-numeric-summary-with-iqr-outlier-flags-5677f63e","name":"Render Jobs Grouped Numeric Summary with IQR Outlier Flags","description":"Render jobs — Grouped numeric summary + IQR outlier flags: Grouped numeric summary + 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-02-094?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_0c41ybeA2y00t_umm2dcp","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 descriptive statistics and IQR-based outlier flags for render job records across render_seconds or sample_count fields, covering up to 200 rows in two independent reports.","exampleAgentPrompt":"Can you analyze these render job records and give me a grouped numeric summary plus IQR outlier flags for the render_seconds field? Here are up to 200 rows with row_id, asset_group, date, render_seconds, and sample_count — flag any jobs that look like outliers within their group.","exampleUseCases":[{"title":"Flagging slow renders by asset group","prompt":"I have a batch of render job logs grouped by asset_group — can you run a grouped numeric summary on render_seconds and flag any rows that are IQR outliers within their group? I'll give you up to 150 rows with row_id, date, asset_group, render_seconds, and sample_count."},{"title":"Sample count anomaly detection across groups","prompt":"Here are 80 render job records with row_id, asset_group, date, render_seconds, and sample_count — can you group them by asset_group and produce a numeric summary plus IQR outlier flags for the sample_count field?"},{"title":"Studio render QA report","prompt":"We have 200 render job entries from our studio pipeline and I need a grouped statistical summary with outlier flags on render_seconds — please group by asset_group and tell me which rows fall outside the IQR for their group."}],"resultDescription":"Returns two independent analytical reports: (1) a grouped numeric summary (e.g. mean, median, std dev, min, max, quartiles) broken down by asset_group for the selected numeric field, and (2) IQR-based outlier flags identifying which rows deviate significantly from their group's interquartile range. Both reports are computed locally with no external lookups.","failureModes":["Input array is empty or missing required fields (row_id, asset_group, date, render_seconds, sample_count)","More than 200 rows submitted — exceeds the maximum item limit","Invalid date format (must match YYYY-MM-DD pattern)","Numeric field values outside the allowed range (-1e12 to 1e12)","Field selector not one of the allowed enum values: render_seconds or sample_count","All values in a group are null, preventing IQR calculation"],"whenToPreferThis":"Choose this endpoint when you have tabular render job data grouped by asset categories and need both summary statistics and IQR-based outlier detection in a single call without any external data lookup or prediction. It is ideal for offline/batch QA workflows on up to 200 rows where local, reproducible analytics are sufficient. Prefer alternatives if you need real-time monitoring, live data ingestion, prediction, or more than 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:42:41.040Z","isFirstParty":false,"canonicalSlug":"render-jobs-grouped-numeric-summary-with-iqr-outlier-flags-5677f63e"}