{"uid":"cap_pj2kFqeEW7FnS5b2Dkmd1","slug":"feature-availability-trailing-mean-series-iqr-outlier-flags-64c79f08","name":"Feature Availability Trailing Mean Series + IQR Outlier Flags","description":"Feature availability — Trailing mean series + IQR outlier flags: Trailing mean series + IQR outlier flags for supplied feature availability records (populated_features, expected_features). 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-analytics-10-149?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","populated_features","expected_features"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"dataset_group":{"type":"string","default":"","maxLength":80},"expected_features":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"populated_features":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","expected_features":1,"populated_features":10},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","expected_features":2,"populated_features":20},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","expected_features":3,"populated_features":15},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","expected_features":4,"populated_features":30}],"maxItems":200,"minItems":1},"field":{"enum":["populated_features","expected_features"],"type":"string","default":"populated_features"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_SgHMROQEnP0xSFlsw9r-l","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 trailing mean time series and IQR-based outlier flags for feature availability records (populated_features or expected_features) across up to 200 rows, returning 2 independent analytical reports.","exampleAgentPrompt":"Analyze my feature availability records for the last 30 days — I have populated_features and expected_features per day across two dataset groups. Run a trailing mean series and IQR outlier flags on the populated_features field using a window of 7, and tell me which dates look anomalous.","exampleUseCases":[{"title":"Detecting anomalous feature population days","prompt":"I have 90 days of feature availability data with populated_features and expected_features per dataset group. Can you run a trailing mean with a window of 14 and flag any dates where populated_features looks like an outlier based on IQR?"},{"title":"Monitoring data pipeline completeness","prompt":"My data pipeline logs expected vs populated features daily for two groups — group-alpha and group-beta. Run a trailing mean series and IQR outlier detection on expected_features with a window of 5 so I can spot days where my pipeline dropped fields unexpectedly."},{"title":"Comparing feature fill rates across dataset groups","prompt":"I've got 50 rows of feature availability records split across three dataset groups, each with a date, populated_features count, and expected_features count. Compute the trailing mean and IQR outlier flags on populated_features using a window of 10 so I can see which groups have unstable fill rates."}],"resultDescription":"Returns two independent analytical reports: (1) a trailing mean time series computed over the specified window for the chosen field (populated_features or expected_features), and (2) IQR-based outlier flags per row indicating which observations fall outside the interquartile range — all derived from the supplied input rows without any external data lookup.","failureModes":["Fewer than 1 row submitted — minimum row count not met","More than 200 rows submitted — exceeds maximum row limit","Invalid date format — must match YYYY-MM-DD pattern","Missing required fields (row_id, date, populated_features, expected_features) on any row","Window size smaller than 2 or larger than 200","Invalid field enum value — must be 'populated_features' or 'expected_features'","Payment not provided or insufficient — requires 0.01 USDC via x402 protocol"],"whenToPreferThis":"Choose this endpoint when you have tabular feature availability records with date, group, and numeric feature count fields and need both a smoothed trailing mean series AND IQR-based outlier detection in a single call for up to 200 rows — especially useful for data quality monitoring, pipeline observability, or detecting anomalous feature population rates without needing an external analytics service.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:14:39.808Z","isFirstParty":false,"canonicalSlug":"feature-availability-trailing-mean-series-iqr-outlier-flags-64c79f08"}