{"uid":"cap_J7EpXkWk05XUa0kZUZeJ6","slug":"research-task-completion-string-normalisation-trailing-mean-series-9481e2dd","name":"Research Task Completion — String Normalisation + Trailing Mean Series","description":"Research task completion — String normalisation + Trailing mean series: String normalisation + Trailing mean series for supplied research task completion records (completed_tasks, assigned_tasks). 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 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string normalisation and a trailing mean time series for up to 200 rows of research task completion data (completed_tasks or assigned_tasks), delivered as two independent analytical reports.","exampleAgentPrompt":"Run a string normalisation and trailing mean series on my research task completion records — I have 4 rows for group-a and group-b from 2026-10-01 to 2026-10-04 with completed_tasks values of 10, 20, 15, and 30, and I want the trailing mean with a window of 2.","exampleUseCases":[{"title":"Rolling average on completed tasks","prompt":"I have 150 rows of daily research task completion data across several company groups spanning the last quarter — can you normalise the completed_tasks field and produce a trailing mean series with a window of 7?"},{"title":"Assigned task trend analysis","prompt":"Run the string normalisation and trailing mean reports on my assigned_tasks data for groups alpha and beta — I've got about 50 rows dated weekly through 2025, using a window size of 4."},{"title":"Cross-group task completion benchmarking","prompt":"I need to normalize and compute a rolling mean for research task completion records across three company groups over 200 rows — use completed_tasks as the field and a trailing window of 10."}],"resultDescription":"Two independent analytical reports: (1) string-normalised values for the selected field across all supplied rows, and (2) a trailing mean time series computed over the specified window size — both derived entirely from the supplied input data with no external lookups.","failureModes":["Fewer than 1 or more than 200 rows supplied — rejected with validation error","Window size smaller than 2 or larger than 200 — rejected","Date fields not in YYYY-MM-DD format — schema validation failure","Missing required fields (row_id, company_group, date) — rejected","Invalid field enum value other than 'completed_tasks' or 'assigned_tasks' — error","Payment not received or insufficient — 402 response"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and a trailing mean series on research task completion records (completed_tasks or assigned_tasks) in a single low-cost call covering up to 200 rows, and you do not need live data lookups, external predictions, or professional assessments — all computation is local and deterministic.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:48:59.002Z","isFirstParty":false,"canonicalSlug":"research-task-completion-string-normalisation-trailing-mean-series-9481e2dd"}