usage-trends

# Usage Trends Analyze usage patterns and trends from the Agent Monitor analytics data. ## Input The user provides: **$ARGUMENTS** Options: "last 7 days", "last 30 days", "last quarter", "peak hours", "tool trends", "model usage". ## Data Sources | Endpoint | Returns | |----------|---------| | `GET /api/analytics` | Comprehensive analytics object (see schema below) | | `GET /api/stats` | `{ total_sessions, active_sessions, active_agents, total_agents, total_events, events_today, ws_connections, agents_by_status, sessions_by_status }` | | `GET /api/sessions?limit=200` | Full session records with timestamps and metadata | ### Analytics response schema (`GET /api/analytics`) ```json { "overview": { "total_sessions", "active_sessions", "active_agents", "total_agents", "total_events" }, "tokens": { "total_input": N, "total_output": N, "total_cache_read": N, "total_cache_write": N }, "tool_usage": [{ "tool_name": "...", "count": N }], // top 20 "daily_events": [{ "date": "YYYY-MM-DD", "count": N }], // 365 days "daily_sessions": [{ "date": "YYYY-MM-DD", "count": N }], // 365 days "agent_types": [{ "subagent_type": "task"|"explore"|null, "count": N }], "event_types": [{ "event_type": "PreToolUse"|"PostToolUse"|..., "count": N }], "avg_events_per_session": N, "total_subagents": N, "sessions_by_status": { "active": N, "completed": N, "error": N, "abandoned": N }, "agents_by_status": { "working": N, "completed": N, "error": N, ... } } ``` ## ...