{"uid":"cap_yTpJKvlwXiw0G6LYHAJ8Y","slug":"label-review-analytics-trailing-mean-series-two-measure-correlation-1c9f3818","name":"Label Review Analytics: Trailing Mean Series + Two-Measure Correlation","description":"Label review — Trailing mean series + Two-measure correlation: Trailing mean series + Two-measure correlation 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-12-150?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_xLgmfnIpM4dBgAaryiPyA","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 a trailing mean time series and a two-measure Pearson-style correlation for label review data (reviewed_records vs changed_labels) over up to 200 rows.","exampleAgentPrompt":"Can you run a trailing mean series with a window of 3 on the reviewed_records field, plus a two-measure correlation report, for my label review data — I have 20 rows covering daily dataset groups from October 2026?","exampleUseCases":[{"title":"ML annotation quality trend analysis","prompt":"I have 60 days of label review logs with reviewed_records and changed_labels per day. Can you compute a rolling average with a window of 7 on reviewed_records and also show me how correlated those two metrics are across the dataset?"},{"title":"Detecting review efficiency dips","prompt":"Run a trailing mean series with window 5 on the changed_labels field for my label audit records — I want to spot where label correction activity spikes relative to reviews, and get the two-measure correlation too."},{"title":"Multi-group annotation pipeline QA","prompt":"I've got 150 rows of label review data across two dataset groups. Can you calculate the trailing mean with window 4 on reviewed_records and give me the correlation between reviewed_records and changed_labels so I can compare group performance?"}],"resultDescription":"Returns two analytical reports: (1) a trailing mean time series over the selected field (reviewed_records or changed_labels) using the specified window size, and (2) a two-measure correlation between reviewed_records and changed_labels across all provided rows. Results are computed locally from supplied data with no external lookups.","failureModes":["Fewer than 2 rows provided — minimum 1 row required but meaningful results need multiple rows","Window size larger than number of rows — trailing mean will have limited coverage","Null values in reviewed_records or changed_labels — may reduce correlation sample size","More than 200 rows submitted — request rejected, exceeds maximum","Invalid date format (non YYYY-MM-DD) — schema validation failure","Missing required fields row_id or date — request rejected"],"whenToPreferThis":"Choose this endpoint when you have label review or annotation audit tabular data and need both a smoothed time series trend (rolling/trailing mean) and a correlation metric between two numeric measures in a single low-cost call. It is ideal for ML ops, data quality teams, and annotation pipeline analysts who already have the data locally and need lightweight statistical summaries without sending data to a full analytics platform.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:53.583Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-trailing-mean-series-two-measure-correlation-1c9f3818"}