Real-Time Monitoring and Error Tracking for AI Agents

get alerts
when
your agent silently failsget alerts
when
your agent silently failsget alerts
when
tools start failingdetect and visualize abnormal trajectoriesget alerts
when
users complainget alerts
when
your agent refuses a requestsee how new models behave in productioncheck if the feature flag solved the issue

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Trusted by the fastest growing AI Companies

Case Study

Amjad Masad

CEO, Replit

If you're building an agent, I recommend looking into Raindrop for monitoring. We use it.

Dec 2025

771

Koen BokCEO, Framer

If you don't know whether your AI agent is getting better or worse for real users, you need Raindrop today.

Justin Bleuel

AI Engineer, Clay

Easily my favorite tool to discover, analyze, and solve agent issues @clay

Dec 2025

Evan GoldschmidtCTO, Tolan

Raindrop has been invaluable as we've been growing quickly. It's like if we see an iOS crash report in Sentry, but for our AI capabilities.

James PozdenaAI Engineer, AngelList

Building good agents is hard. We spent months in the dark. Raindrop gives us the clarity production evals never could.

Amjad Masad

CEO, Replit

If you're building an agent, I recommend looking into Raindrop for monitoring. We use it.

Dec 2025

771

Koen BokCEO, Framer

If you don't know whether your AI agent is getting better or worse for real users, you need Raindrop today.

Justin Bleuel

AI Engineer, Clay

Easily my favorite tool to discover, analyze, and solve agent issues @clay

Dec 2025

Evan GoldschmidtCTO, Tolan

Raindrop has been invaluable as we've been growing quickly. It's like if we see an iOS crash report in Sentry, but for our AI capabilities.

James PozdenaAI Engineer, AngelList

Building good agents is hard. We spent months in the dark. Raindrop gives us the clarity production evals never could.

The problem

Agents fail silently.

Evals are great for catching regressions you already know about. But your worst issues are the ones you haven't imagined yet. Users ask things you never anticipated. Tools fail in ways you never tested. Your agent gets stuck in loops that never showed up in your test set.

The real test is production. You need visibility into what your agent is actually doing, across every conversation, so you can find the problems you didn't know to look for.

“If you're building an agent, I recommend looking into Raindrop for monitoring. We use it.”

Amjad Masad

CEO, Replit

“Raindrop has been super helpful for identifying patterns in how people are using AI. We've been leveraging this data to inform product improvements.”

Pranav Mital

Growth, Clay.com

“If you don't know if your AI agent is getting better or worse for real users, you need Raindrop today.”

Koen Bok

CEO, Framer

“Raindrop gives us the clarity production evals never could.”

James Pozdena

AI Engineer, AngelList

“It's like if we see an iOS crash report in Sentry, but for our AI capabilities.”

Evan Goldschmidt

CTO, Tolan

“The Slack messages I get every day are brilliant. I can't live without them now. Being able to see the top 5 issues is just super helpful.”

Danny Aziz

GM of Spiral, Spiral

“Raindrop became irreplaceable the day we started using it. It's helped us diagnose issues quicker.”

Stew Fortier

CEO, type.ai

Real-time alerts in Slack

Every issue, surfaced automatically.

Raindrop11:47 AM

New hallucination pattern — agent citing a return policy that doesn't exist.

Frequency: 47 occurrences in the last 6 hours

Sample: "You can return any item within 90 days for a full refund" — policy is 30 days, exchanges only

Raindrop1:23 PM

Infinite loop detected — agent asked user for their order number 8 times in a row.

Affected: 14 conversations in the last 3 hours

Sample: "I already told you it's #4829! Why do you keep asking?"

Raindrop3:07 PM

Tool failure spike — createBooking failing with 429 rate limit errors.

Error rate: 73% of calls failing (baseline: <1%)

Impact: Agent telling users "booking confirmed" when it actually failed

Raindrop2:31 PM

p95 latency of webSearch tool spiked to 300s (baseline: 14s)

p95 Latencylast 20 min

14s300s

Raindrop5:44 PM

Context loss pattern — agent forgetting user details mid-conversation after tool calls.

Pattern: Occurs after searchKB calls when context window exceeds 12k tokens

Sample: "I just told you my name is Sarah, why are you asking again?"

Raindrop11:12 AM

Unexpected refusal spike — agent refusing valid requests about account cancellation.

Frequency: 31 refusals in 4 hours (normally ~2/day)

Likely cause: System prompt update at 9 AM over-restricted cancellation flows

How it works

From detection to resolution.

Raindrop watches every conversation, catches issues automatically, and gives you the tools to understand, track, and fix them.

1Detect

Issues surface automatically.

Raindrop monitors every agent interaction and flags problems the moment they appear — before your users report them.

Agent hallucinated a refund policy that doesn't exist

Agent stuck in a 12-turn loop asking for the same info

Tool call to payments API failing silently

Agent refused a valid customer request

2Trace

See exactly what went wrong.

Every alert links directly to a step-by-step trace. See the full conversation, every tool call, every decision — pinpoint exactly where it went off the rails.

3Track

Monitor any behavior you can describe.

Define what matters in plain language. Raindrop starts monitoring it instantly — no code changes, no deploys.

Users saying the bot forgot something they told it

Agent using filler words like 'tapestry' or 'delve'

Conversations where the user gave up and left

Watch the video

4Understand

See patterns across millions of events.

Connect signals, tool failures, and custom events to find what's driving your worst user experiences. Watch trends over time.

5Fix

Prove that your fix actually worked.

Run experiments to compare models, prompts, and configurations against real production traffic. Ship with confidence.

Security

Enterprise-grade security.

Your data deserves world-class security. We are committed to keeping your data safe with advanced privacy controls.

PII Guard

Customized PII Redaction that maintains visibility without compromising privacy. Our AI models automatically strip PII from data the moment it hits our servers, ensuring your sensitive customer information never leaves your control.

Learn about PII Guard

SOC 2 Compliant

Raindrop has achieved SOC 2 Type II compliance. Learn what our SOC 2 certification means for you and how we keep your data safe.

Read Security Docs

Case Study

How Tolan Keeps Their Alien Companions On Track

Learn how Tolan's AI engineering team used Raindrop to reduce memory issues by 27.8 % and nearly eliminate lore inconsistencies as they scaled to thousands of users.

READ THE STORY

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