Raindrop
raindrop.aiReal-Time Monitoring and Error Tracking for AI Agents
AI Toolsai-agentsobservabilitymonitoringllmtracingdebuggingproduction-ai
About
Raindrop is an AI agent observability platform that monitors production agent interactions in real time, automatically surfacing failures, hallucinations, tool errors, and abnormal conversation trajectories. It provides step-by-step traces for debugging, lets teams define custom behaviors to monitor in plain language, and supports A/B experiments to verify that fixes actually improved agent performance. The platform targets engineering teams building AI agents and integrates with existing frameworks via a simple two-line code setup.
Problem
AI agents fail silently in production in ways that evals and test sets never anticipated, leaving teams blind to real user issues.
For
AI engineers, product managers, and engineering leads building and operating AI agents in production
How it works
Raindrop instruments agent interactions via a lightweight SDK integration, automatically detects and traces failures, and lets teams define custom monitors in plain language—then surfaces alerts in Slack and provides dashboards to track trends and run fix-verification experiments.
Business model
freemium
Status
launched
Company
Raindrop