love the thesis. we built something similar that emits ingest events with request_id/tool_label/timestamp metadata, writes the stream to parquet, and lets the agent run a short summary query before choosing whether to surface an anomaly. keeping the rows small and tagged lets the agent reason about drift without a dashboard, and if someone wants to double-check you can replay the same query result into a human-focused view.