Collect Video Testimonials That Build TrustRaindrop AI
Raindrop AI is a real-time monitoring platform for AI agents that detects silent failures, tracks agent trajectories, and sends Slack alerts — trusted by Replit, Framer, and Clay.
About Raindrop AI
Raindrop AI is the first Sentry-like monitoring platform purpose-built for AI agents in production. Just as Sentry tracks errors in web applications, Raindrop discovers and surfaces silent agent failures that traditional monitoring tools completely miss. Teams building AI-powered products use Raindrop to stay on top of how their agents actually behave with real users — not just in sandboxed tests.
AI agents fail differently than traditional software. A broken API returns a 500 error, but an agent that confidently gives wrong information, forgets context mid-conversation, or loops endlessly fails invisibly. Raindrop was designed to expose exactly these kinds of hard-to-detect behavioral failures at production scale, across millions of interactions.
The platform is trusted by some of the fastest-growing AI companies including Replit, Framer, Clay, AngelList, and Avoca. Raindrop raised a $15M seed round in December 2025, backed by Lightspeed and founders from Replit, Figma, and Notion, underscoring strong market confidence in AI agent observability as a critical category.
Raindrop integrates in as few as two lines of code, or with zero code if teams use Segment. Its SDKs support TypeScript, Python, Go, HTTP API, Browser JavaScript, Vercel AI SDK, and the Claude Agent SDK (Beta), making it accessible across virtually all modern AI agent stacks.
Key Features
- Agent Trajectory Visualization: See every tool call, error, and recovery step your agent took — in seconds — across any production interaction.
- Automatic Issue Detection: Default signals catch common AI failure modes including memory loss, user frustration, task failures, and agent refusals without manual configuration.
- Deep Search: A natural language search engine for production AI logs — describe an issue, find matching events across millions of interactions, and start tracking it automatically.
- Experiments Platform: Run A/B tests across models, prompts, tool calls, and feature flags to validate that fixes actually improve agent behavior in production.
- Real-Time Slack Alerts: Receive immediate notifications with daily digests when issue counts spike, including direct links to conversations and traces for root cause investigation.
- PII Guard: Edge-side PII redaction strips sensitive customer data before it reaches Raindrop servers, maintaining observability without compromising privacy — SOC 2 Type II certified.
Pricing
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Starter: $65/mo + $0.001 per interaction (14-day free trial) Includes Issue Detection, Slack Notifications, Signals (Thumbs Up/Down), Search, and User Tracking.
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Pro: $350/mo + $0.0007 per interaction Everything in Starter, plus Deep Research, Experimentation Platform, Topic Clustering, Custom Topics and Issues, Tracing, and Semantic Search.
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Enterprise: Contact for custom pricing Everything in Pro, plus Custom Alerts, Custom Integrations, SSO Login, Edge-PII Redaction, Priority Support, and SLA Guarantees.
Use Cases
- Detecting silent AI agent failures that go unnoticed in production
- Monitoring real user interactions to identify patterns of frustration or task failure
- A/B testing prompt changes and model upgrades to validate improvements
- Tracking custom agent behaviors such as looping, refusals, or context loss at scale
Pros & Cons
Pros:
- Detects AI specific failure modes invisible to traditional application monitoring tools
- Minimal integration effort — as few as two lines of code, with no-code Segment support
- SOC 2 Type II certified with edge-side PII redaction for enterprise grade data privacy
Cons:
- Pricing scales per interaction, which can become significant at very high agent usage volumes
- Newer platform with a growing ecosystem. Some advanced integrations and alerting customizations are limited to the Enterprise tier
Integrations
Slack, Segment, Vercel AI SDK, Claude Agent SDK, TypeScript SDK, Python SDK, Go SDK, HTTP API, Browser JavaScript SDK
FAQ
What is Raindrop AI and what problem does it solve?
Raindrop AI is a real-time monitoring and observability platform for AI agents. It solves the problem of silent agent failures — issues like memory loss, wrong outputs, or looping behavior that traditional error monitoring tools never surface because no HTTP error code is thrown.
How does Raindrop AI differ from general application monitoring tools like Sentry or Datadog?
Raindrop is built specifically for the behavioral failure modes unique to AI agents. While Sentry and Datadog track code-level errors and infrastructure metrics, Raindrop tracks semantic failures such as agents forgetting context, users expressing frustration, or agents refusing valid requests.
How quickly can I integrate Raindrop into my existing AI agent?
Raindrop integrates in as few as two lines of code using the TypeScript or Python SDK. If your team already uses Segment, integration requires zero additional code. SDKs are also available for Go, HTTP API, Browser JavaScript, Vercel AI SDK, and the Claude Agent SDK in Beta.
What is Deep Search and how does it work?
Deep Search is Raindrop's natural language search engine for production AI data. You describe an issue or behavior in plain language, Raindrop surfaces matching events from millions of interactions, and you can refine the search with feedback before setting up ongoing tracking and alerts.
Does Raindrop AI comply with data privacy requirements?
Yes. Raindrop is SOC 2 Type II certified. Its PII Guard feature performs edge-side PII redaction, stripping sensitive customer information before data reaches Raindrop servers, so your users' personal data never leaves your control.
What is the Experiments feature used for?
The Experiments platform allows teams to run A/B tests comparing different models, prompts, tool call configurations, and feature flags. It helps validate that a change actually improved agent behavior in production rather than just passing offline evaluations.
What types of signals can Raindrop track?
Raindrop tracks both default signals — such as thumbs up and down feedback, agent forgetting events, user frustration, and task failures — and fully custom signals defined in natural language or via regex patterns to match any behavior specific to your agent.
What does the Starter plan include and is there a free trial?
The Starter plan costs $65 per month plus $0.001 per interaction and includes a 14-day free trial. It covers Issue Detection, Slack Notifications, Signals, Search, and User Tracking. The Pro plan adds Deep Research, Experimentation, Topic Clustering, Tracing, and Semantic Search.
Which companies use Raindrop AI in production?
Raindrop is used in production by Replit, Framer, Clay, AngelList, Avoca, Howie, Spiral, Unstuck, Quadratic, Websim, and type.ai, among others.
What is Agent Self Diagnostics?
Launched in February 2026, Agent Self Diagnostics is a Raindrop feature that allows AI agents to proactively report their own failures, loops, and capability gaps back to the Raindrop platform, giving engineering teams visibility into problems that would otherwise go completely undetected.
Last edited
September 14, 2026 at 8:18 PM by Venkatraman C
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