Raindrop
What is Raindrop?
Raindrop is an observability platform for teams building and operating AI agents. It captures agent interactions so developers can examine messages, tool calls, errors, and recovery paths. Signals and issue detection help teams spot behavioral problems that ordinary application errors may miss. The platform connects investigation with experiments so teams can compare changes against agent behavior.
How to use Raindrop?
- Create a Raindrop account and choose the project you want to monitor.
- Follow the setup guide or a supported SDK integration to instrument your application and send events.
- Inspect an incoming trace, then enable a preset or define a custom signal to track a relevant behavior.
Raindrop's Core Features
Agent Tracing: Inspect messages, tool calls, errors, and recovery paths in recorded interactions.
Issue Detection: Identify recurring production behavior that deserves investigation.
Custom Signals: Describe a behavior and refine a classifier against real examples.
Signal Presets: Track documented patterns such as task failure, forgetting, or user frustration.
Trace Search: Find relevant interactions when investigating agent behavior.
Experiments: Compare models, prompts, and configurations to evaluate changes.
Triage Agent: Investigate agent problems through the web interface, Slack, or MCP.
SDK Integration: Send application events through supported SDKs or the HTTP API.
Raindrop's Use Cases
- #1
An agent developer investigates a repeated tool-call failure.
- #2
A support-product team monitors conversations where users express frustration.
- #3
A quality engineer tracks agents losing important conversational context.
- #4
An AI team compares prompt or model changes through experiments.
- #5
A developer creates a custom classifier for an application-specific failure pattern.
- #6
A team investigates production issues through Slack or an MCP-connected coding agent.
Frequently Asked Questions
Analytics of Raindrop
Monthly Visits Trend: Apr 2025 - Oct 2026
Traffic Sources
Top Regions
| Region | Traffic Share |
|---|---|
| United States | 81.31% |
| Brazil | 3.79% |
| India | 3.08% |
| Canada | 1.87% |
| Germany | 1.65% |
Top Keywords
| Keyword | Traffic | CPC |
|---|---|---|
| raindrop ai | 2.1K | $6.31 |
| raindrop | 49.0K | $0.77 |
| vercel ai agent score | 640 | -- |
| raindrop mcp | 910 | -- |
| raindrop careers | 390 | -- |
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