{"uid":"cap_Q3xm8DN8miHj5M6mb2-Eg","slug":"render-jobs-numeric-interval-filter-iqr-outlier-flags-1fad983d","name":"Render Jobs Numeric Interval Filter + IQR Outlier Flags","description":"Render jobs — Numeric interval filter + IQR outlier flags: Numeric interval filter + 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-02-130?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_skGcO7vQt-jGq2eYv2pem","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":"Filters render job records by a numeric interval and flags IQR-based outliers for render_seconds or sample_count fields, producing two analytical reports from up to 200 supplied rows.","exampleAgentPrompt":"I have up to 200 render job records with render_seconds and sample_count values — can you run an interval filter between 0 and 500 on render_seconds and also flag any IQR outliers in the same field? Here are my rows: row-1, group-a, 2026-10-01, render_seconds=42, sample_count=5; row-2, group-b, 2026-10-02, render_seconds=980, sample_count=3.","exampleUseCases":[{"title":"Outlier detection in render pipeline","prompt":"I've got 150 render job records from last month — can you filter them to only show render_seconds between 10 and 600, and flag any rows that are IQR outliers in the render_seconds field? I'll paste the data with row IDs, asset groups, and dates."},{"title":"QA check on sample count anomalies","prompt":"Run an IQR outlier check on the sample_count field across my 80 render job rows, filtering the interval from 1 to 10000, so I can spot which jobs had unusually high or low sample counts before I sign off on the batch."},{"title":"Asset group performance audit","prompt":"I need to audit render performance across two asset groups — can you apply an interval filter from 0 to 300 on render_seconds for my 200 render job records and flag statistical outliers using IQR? I want both the filtered report and the outlier flags."}],"resultDescription":"Returns two analytical reports: (1) records from the supplied render job rows that fall within the specified numeric interval for the chosen field (render_seconds or sample_count), and (2) IQR-based outlier flags indicating which rows are statistical anomalies. No external data is fetched; all analysis is performed on the supplied rows only.","failureModes":["Fewer than 1 or more than 200 rows supplied — request rejected","Missing required fields (row_id, date, render_seconds, sample_count) on any row — validation error","Date field not matching YYYY-MM-DD pattern — schema validation failure","Minimum value greater than maximum value — may return empty interval result or error","Null numeric values — treated as missing and may be excluded from interval and IQR calculations","Field enum value not 'render_seconds' or 'sample_count' — invalid input error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 render job records and need both a numeric range filter and IQR-based outlier detection on render_seconds or sample_count in a single low-cost call. Ideal for render pipeline QA, performance audits, or anomaly detection on supplied batch data where no external data source or live lookup is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:42:32.564Z","isFirstParty":false,"canonicalSlug":"render-jobs-numeric-interval-filter-iqr-outlier-flags-1fad983d"}