Overview
Raindrop is a comprehensive platform for AI agent monitoring and observability, designed to help engineering teams trace, detect, and fix silent failures in their AI agents. It provides end-to-end visibility into agent runs, from local development to enterprise deployments, ensuring reliability and enabling faster iteration cycles.
Key Features
- Trace Every Run: Log and inspect every agent run, capturing messages, tool calls, retries, and errors in a centralized location.
- Automatic Issue Detection: Automatically surface silent failures, hallucinations, loops, and broken tools, sending real-time alerts to platforms like Slack.
- Slack Integration: Seamlessly integrate with Slack for issue triaging, querying agent behavior, and managing signals.
- Experimentation: Ship improvements confidently by running experiments and proving fixes against live traffic before full rollout.
- Self-Healing Agents: Utilize features like MCP (Meta-Control Plane) to run auto-fix loops for agents, automatically patching and verifying fixes.
- Signals: Define custom classifiers to monitor specific agent behaviors and set up alerts for deviations.
- Triage Agent: Investigate and resolve agent issues directly from Slack or the web interface.
- Workshop: An open-source local development tool for AI agents, allowing for trace inspection, run replay, and debugging from localhost.
Use Cases
- Monitoring Production Agents: Gain full visibility into deployed agents, ensuring they perform as expected and identifying issues proactively.
- Debugging Local Development: Utilize Workshop to debug agent failures during local development, speeding up the iteration process.
- Improving Agent Reliability: Automatically detect and fix silent failures, reducing downtime and enhancing user experience.
- Validating Agent Improvements: Use the Experiments feature to A/B test new agent versions or fixes before full deployment.
- Collaboration: Leverage Slack integration for team collaboration on issue resolution and agent monitoring.
Security
- SOC 2 Compliance: Raindrop is SOC 2 Type II compliant, ensuring robust security for production agents.
- PII Guard: Intelligent server-side PII redaction protects sensitive user data.
- Enterprise Ready: Offers features like SSO, audit logs, access controls, and dedicated support for enterprise deployments.
- Self-Hosting Beta: Option to run Raindrop within your own cloud environment for enhanced control and security.
Pricing
Raindrop offers tiered pricing to suit different needs:
- Startup: Free trial available, with per-event pricing and features like Slack notifications, signals, search, tracing, and user tracking.
- Pro: Includes all Startup features plus Triage Agent, Issue Detection, Custom Signals, Experiments, and Semantic Search.
- Enterprise: Custom pricing with all Pro features, plus Audit Logs, Snowflake/BigQuery Exports, SSO/SAML Login, Edge-PII Redaction, Priority Support, and SLA Guarantees.
FAQ
What is Raindrop?
Raindrop is a platform for AI agent monitoring and observability, helping teams ensure their AI agents are reliable and performant.
How does Raindrop help fix silent failures?
Raindrop automatically detects silent failures and provides tools like Triage Agent and MCP for investigation and automated fixing.
Is Raindrop suitable for enterprise use?
Yes, Raindrop offers enterprise-ready features including SOC 2 compliance, SSO, audit logs, and dedicated support.
What is Workshop?
Workshop is an open-source local development tool provided by Raindrop for inspecting, replaying, and debugging AI agent runs on localhost.
How can I get started with Raindrop?
You can start with a free trial of the Startup plan or contact sales for Enterprise inquiries. The Workshop tool can be installed via a curl command.
