{"uid":"cap___1fnbf0k-WaBxXIv1SGn","slug":"render-jobs-numeric-distribution-iqr-outlier-flags-65f3de49","name":"Render Jobs Numeric Distribution & IQR Outlier Flags","description":"Render jobs — Numeric distribution + IQR outlier flags: Numeric distribution + 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-02-080?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_EbVbUDA1GhqizJsmbsQ66","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 numeric distribution statistics and IQR-based outlier flags for up to 200 render job records across two fields (render_seconds, sample_count) in a single call.","exampleAgentPrompt":"Can you analyze my render job data for outliers? I have 150 rows with row_id, asset_group, date, render_seconds, and sample_count — run the numeric distribution and IQR outlier flagging on render_seconds for all of them.","exampleUseCases":[{"title":"Identify slow outlier render jobs","prompt":"I have a batch of 120 render job records with dates, asset groups, render_seconds, and sample_counts — can you run the IQR outlier detection on render_seconds so I can see which jobs took abnormally long?"},{"title":"Audit sample count distribution by asset group","prompt":"Here are 80 render job rows across two asset groups. Can you compute the numeric distribution and flag any outliers in the sample_count field so I know if any jobs are statistically anomalous?"},{"title":"QA render pipeline performance before delivery","prompt":"Before I hand off this render batch to the client, I want to check the distribution stats and outlier flags for both render_seconds and sample_count across my 200 job records — can you run both reports?"}],"resultDescription":"Returns two analytical reports (one per numeric field) covering distribution statistics (min, max, mean, median, quartiles, IQR) and per-row IQR-based outlier flags indicating which rows fall outside the expected range, for up to 200 supplied render job records.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, render_seconds, sample_count) cause row-level rejection","Invalid date format (not YYYY-MM-DD) triggers pattern validation failure","Null values in numeric fields may affect IQR computation or be excluded from distribution","Field enum value outside ['render_seconds','sample_count'] returns an error"],"whenToPreferThis":"Choose this endpoint when you need fast, local statistical analysis of render job performance data — specifically IQR-based outlier detection and numeric distribution summaries — without requiring any external data lookup or live service. Ideal for QA pipelines, post-render audits, and batch performance reviews of up to 200 jobs at $0.01 per call covering both numeric fields.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:42:48.943Z","isFirstParty":false,"canonicalSlug":"render-jobs-numeric-distribution-iqr-outlier-flags-65f3de49"}