Tekhnika/agentic-ai-observability-free

--- pretty_name: Agentic AI Observability language: - en license: cc-by-nc-4.0 tags: - tabular-data - analytics - observability - agentic-ai task_categories: - tabular-classification - time-series-forecasting size_categories: - 1K<n<10K --- # Agentic AI Observability Free sample for AI agent reliability dashboards, anomaly exploration, and observability-oriented analytics workflows. ## What is included - agents.csv: 46 rows, 8 columns - events.csv: 5590 rows, 8 columns - runs.csv: 1863 rows, 8 columns ## Why this dataset is useful - Good starter sample for an agent reliability dashboard or observability notebook. - Useful for validating run-level and event-level analytics in Python, SQL, and BI tools. - Lightweight enough for quick experiments while still matching the core workflow of the full starter pack. ## Starter use cases - Agent reliability baseline using run and event data. - Observability dashboard for event severity, run behavior, and agent health patterns. ## Schema overview ### agents.csv - Rows: 46 - Columns: agent_id, agent_name, agent_type, deployment_env, region, status, traffic_tier, reliability_profile ### events.csv - Rows: 5590 - Columns: event_id, run_id, agent_id, event_time, event_type, severity, component_name, queue_depth ### runs.csv - Rows: 1863 - Columns: run_id, agent_id, started_at, duration_ms, run_status, failure_risk_score, slo_breach_flag, anomaly_window_flag ## Free vs full version - Free Kaggle sample: reduced rows, reduced columns, starter notebook, and enough linked observability tables to validate the core workflow. - Full version: full row volume, richer feature coverage, tool and feedback tables, and extra starter assets for dashboard, SQL, and anomaly-analysis work. ## Upgrade to full version - Full version: https://tekhnikalab.gumroad.com/l/agentic-ai-observability - Upgrade if you need the full linked schema plus starter assets that get you to a dashboard, SQL project, or anomaly baseline faster. ## Notes - Contains generated data only and no real personal data. - Designed as a lightweight free sample for evaluation and discovery.