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Raindrop home dashboard
AI agents fail differently than traditional software. A 500 error is obvious. An agent that confidently gives wrong information, forgets what a user said 3 messages ago, or takes a bad path fails silently, invisible to traditional monitoring. Raindrop helps you:
  • Visualize agent trajectories: see every tool call, error, and recovery in seconds
  • Detect issues automatically: choose from presets that catch forgetting, user frustration, and task failures
  • Search across millions of interactions: find issues in production data with natural language
  • Track custom signals: define any signal you care about (syntax errors, aesthetic complaints, an agent stuck in a loop) and track it at scale
  • A/B test your agents: run experiments to validate that fixes actually worked

Integrate Raindrop

TypeScript

Full-featured SDK with tracing support for Node.js and edge runtimes.

Python

Native Python SDK for FastAPI, Django, and other Python frameworks.

HTTP API

RESTful API for any language or platform.

Integrations

Connect Raindrop with AI frameworks, cloud providers, and developer tools.

Core Features

Signals

Ground truth indicators for agent performance. Track wins, failures, and custom behaviors across all your interactions.

Triage Agent

An agent that investigates your AI agents in Slack, on the web, and as an MCP.

Issues

Automatic detection of broader distribution changes worth investigating.

Experiments

A/B test your agents to validate changes. Compare models, prompts, and configurations.