{"uid":"cap_wrQLObGmDNM_gPZ67Q8lO","slug":"label-review-analytics-trailing-mean-series-date-by-category-pivot-0862eaa7","name":"Label Review Analytics — Trailing Mean Series & Date-by-Category Pivot","description":"Label review — Trailing mean series + Date by category pivot: Trailing mean series + Date by category pivot 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-12-152?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_PMMeOa7hyelZ8vC1ATBNW","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 moving-average time series and a date-by-category pivot table for label review data (reviewed_records and changed_labels) supplied by the caller.","exampleAgentPrompt":"Run trailing mean and date-by-category pivot reports on my label review data — I have 4 rows with dataset groups 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, reviewed_records and changed_labels counts, and I want to analyze the reviewed_records field with a window of 2.","exampleUseCases":[{"title":"QA trend monitoring for annotation pipeline","prompt":"I have daily label review logs for two dataset groups over the past month — can you compute a trailing mean with a window of 7 for the reviewed_records field and also give me a pivot of reviewed_records by date and group?"},{"title":"Label correction rate analysis by team","prompt":"Take my label review records — groups are 'team-alpha' and 'team-beta', dates spanning last two weeks, up to 150 rows — and run both a trailing mean series and a date-by-category pivot on the changed_labels field using a window of 3."},{"title":"Annotation sprint retrospective reporting","prompt":"I need two analytics reports on my label review data from our last sprint: a rolling average with window 5 for reviewed_records and a pivot table of reviewed_records by date and dataset group across about 80 rows."}],"resultDescription":"Returns two independent analytical reports: (1) a trailing moving-average time series for the selected metric field (reviewed_records or changed_labels) computed over the specified window size, and (2) a date-by-category pivot table cross-tabulating the metric by date and dataset_group — both derived entirely from the caller-supplied rows with no external data.","failureModes":["Fewer than 1 row supplied — rejected by minItems validation","More than 200 rows supplied — rejected by maxItems constraint","Invalid date format (not YYYY-MM-DD) — pattern validation error","Window size outside 2–200 range — schema validation rejection","Missing required fields (row_id, dataset_group, date, reviewed_records, changed_labels) — object validation error","Null numeric values may affect mean calculations if not handled","Payment of 0.01 USDC not provided — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 label review records with date, group, and numeric annotation metrics, and you need both a rolling/trailing mean time series AND a categorical pivot table in a single low-cost call. Ideal for ML/data-labeling QA workflows where you supply all data locally and need offline analytical summaries without any external lookup or prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:39:10.984Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-trailing-mean-series-date-by-category-pivot-0862eaa7"}