{"uid":"cap_wwizgXYOi45NHnn9G4XcK","slug":"label-review-analytics-trailing-mean-series-iqr-outlier-flags-3810e857","name":"Label Review Analytics — Trailing Mean Series + IQR Outlier Flags","description":"Label review — Trailing mean series + IQR outlier flags: Trailing mean series + IQR outlier flags for supplied label review records (reviewed_records, changed_labels). 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-12-149?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","reviewed_records","changed_labels"],"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},"changed_labels":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"reviewed_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","changed_labels":1,"reviewed_records":10},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","changed_labels":2,"reviewed_records":20},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","changed_labels":3,"reviewed_records":15},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","changed_labels":4,"reviewed_records":30}],"maxItems":200,"minItems":1},"field":{"enum":["reviewed_records","changed_labels"],"type":"string","default":"reviewed_records"},"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_QqWMfvhIY_SPjHfGNiODg","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 label review records (reviewed_records and changed_labels) across up to 200 rows, producing two analytical reports.","exampleAgentPrompt":"Analyze my label review data for outliers — I have 50 rows of daily reviewed_records and changed_labels across two dataset groups, and I want a trailing mean series with a window of 7 plus IQR outlier flags on the reviewed_records field.","exampleUseCases":[{"title":"Detect anomalous annotation days","prompt":"I have 120 rows of daily label review logs with reviewed_records and changed_labels across three dataset groups — can you compute a trailing mean with a window of 5 and flag any IQR outliers in the changed_labels field so I can spot days where label edits were unusually high?"},{"title":"Monitor labeling throughput trends","prompt":"Run a trailing mean series with window size 10 on my reviewed_records column from the past quarter of annotation sessions, and flag any outlier days using IQR — I want to see where throughput dropped or spiked unexpectedly."},{"title":"Audit label quality by group","prompt":"I've got 80 rows of label review records split across four dataset groups and I need two reports: a trailing mean series and IQR outlier flags, using a window of 3, focused on reviewed_records — can you run that analysis for me?"}],"resultDescription":"Returns two analytical reports for up to 200 input rows: (1) a trailing mean time series computed over a configurable window for the selected field (reviewed_records or changed_labels), and (2) IQR-based outlier flags identifying rows whose values fall outside the interquartile range bounds — both derived entirely from the supplied data with no external lookups.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, date, reviewed_records, changed_labels) — validation error","Date field does not match YYYY-MM-DD pattern — schema validation failure","Window size smaller than 2 or larger than 200 — parameter error","Numeric values outside allowed range (-1e12 to 1e12) — validation rejection","Fewer rows than the specified window size — trailing mean may be undefined for early rows"],"whenToPreferThis":"Choose this endpoint when you need both a smoothed trailing mean time series and IQR-based outlier detection on label review metrics (reviewed_records or changed_labels) in a single low-cost call. It is ideal for small-to-medium datasets (up to 200 rows) where you want self-contained statistical analysis without any external data lookups or model inference. Prefer it over general-purpose analytics tools when your data is already structured in the expected schema and you want a fast, deterministic, local computation result for annotation quality monitoring.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:30.787Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-trailing-mean-series-iqr-outlier-flags-3810e857"}