DeepTracer — AI Error Monitoring for Developers
AI Monitoring Agent

You shipped it. DeepTracer keeps it alive.

An AI agent that watches your production app around the clock. Catches errors, investigates root causes, and explains fixes — in plain English.

$ npm i @deeptracer/nextjs
DeepTracer Agent Monitoring 12,847 events
Investigating ...
Scanning related logs and traces
Root Cause Found
STRIPE_WEBHOOK_SECRET is undefined in production environment. Webhook signature validation failing since deploy #47 at 2:41 PM.
23 failed checkouts Add secret to Vercel env
Works with your stack

Five lines of code.
Two minutes to production monitoring.

1
Add to your app
Install the SDK, wrap your Next.js config, and you're done. No dashboards to configure, no YAML files.
// next.config.ts
import { withDeepTracer }
  from '@deeptracer/nextjs'
 
export default withDeepTracer({
  key: process.env.DEEPTRACER_KEY
})
2
Agent starts watching
Your AI agent immediately begins monitoring health, errors, request patterns, and LLM costs — 24/7.
API Health Nominal
Error Rate 0.02%
Throughput 234 req/min
Scanning events
3
Get investigations
When something breaks, your agent investigates automatically and explains the root cause in plain English.
Auto-investigation
Memory leak in /api/users
Unbounded array in getUsers() grows on each request. Missing pagination causes heap to exceed 512MB after ~2K requests.
View fix suggestion

An AI agent that never sleeps.
Monitors everything. Investigates automatically.

AI Investigations
Finds the bug. Explains why. Suggests the fix.
When errors spike, your agent automatically investigates — correlating logs, traces, and deploys to find the root cause. No more guessing.
Investigation #128 2 min ago
TypeError: Cannot read property 'id' of undefined 500
AI Analysis
The user object is null when fetched from session after deploy #51 changed the auth middleware order. The session cookie is valid but getServerSession() now runs before the auth provider initializes.
Critical Auto-investigated Resolved in 47s
24/7 Monitoring
Watches while you sleep
Ambient health checks every 5 minutes. Catches problems before your users notice.
API endpoints Healthy
Database 12ms
Memory usage 78%
Error rate 0.02%
LLM Cost Tracking
Know what your AI costs
Track per-model spending, cost-per-user, and get alerts when usage spikes.
GPT-4o
$12.40
Claude Haiku
$4.20
Embeddings
$1.10
Today's total $17.70
AI Chat
Ask your agent anything about your app
"Why did errors spike at 3pm?" "What's my slowest endpoint?" "Is my app healthy?" — get instant answers grounded in your actual data.
Z
Why are checkout errors spiking today?
dt
I found 23 checkout failures in the last hour, all returning 500 on POST /api/checkout. The root cause is a missing STRIPE_WEBHOOK_SECRET env var after your 2:41 PM deploy. Want me to open a full investigation?
Ask about your app...

Developers are shipping safer.
Here's what they're saying.

I built my SaaS on Lovable in a weekend. Two weeks later it was crashing and I had no idea why. DeepTracer found the issue in 47 seconds — a database connection leak my AI-generated code missed entirely.
AC
Alex Chen
Indie hacker, ShipFast
Lovable
My client's checkout page was silently failing for 3 days before DeepTracer caught it. The AI investigation pinpointed the exact deploy that broke it and told me how to fix it. Saved my reputation.
SK
Sarah Kim
Freelance developer
Cursor
We went from zero monitoring to full production visibility in under 5 minutes. The LLM cost tracking alone saved us $200/month in wasted API calls we didn't know we were making.
MR
Marcus Rodriguez
CTO, Stackbloom
Vercel

Simple pricing. No surprises.
Start free, upgrade when your app needs a guardian.

Monthly
Annual
Save 15%
Free plan
Reactive Mode
Your agent sleeps until you wake it up.
$0 /month
Free forever
  • 1 project
  • 25K events/month
  • 3 AI investigations/month
  • 10 chat messages/month
  • 1-day data retention
  • Email alerts
  • LLM cost dashboard

Questions? Answers.

Sentry shows you errors. DeepTracer explains them. Instead of staring at stack traces, you get a plain-English root cause analysis with the exact deploy, env var, or code change that caused it — plus a suggested fix. It also includes LLM cost tracking and 24/7 ambient monitoring, which Sentry doesn't offer. And it's $19/mo vs Sentry's $26.
No. The SDK is lightweight (under 10KB gzipped) and sends events asynchronously in the background. It never blocks your request/response cycle. If DeepTracer's servers are unreachable, the SDK silently fails — your app keeps running exactly as before.
We have first-class support for Next.js (App Router + Pages Router), React, Node.js, Express, and any Vercel-deployed app via log drains. Bun and Hono work out of the box with the Node SDK. Python and Go SDKs are coming soon.
We never cut off your data collection. You'll see a banner in the dashboard when you approach limits, and we'll send a heads-up email at 80%. After you hit the cap, events keep flowing — you just can't trigger new AI investigations until next month (or you upgrade to Pro).
When an error spike or anomaly is detected, the agent pulls related logs, traces, recent deploys, and environment changes into context. It then uses AI to correlate these signals, identify the root cause, assess impact (how many users affected, revenue at risk), and suggest a concrete fix. The whole process takes 30–90 seconds.
Absolutely — that's exactly who we built this for. AI-generated code ships fast but often has blind spots: unhandled edge cases, missing error boundaries, expensive API calls you didn't know about. DeepTracer catches what the AI missed and explains it in a way that helps you learn and fix it.
Your app is live.
Who's watching it?

Add DeepTracer in 2 minutes. Your AI agent starts monitoring immediately — catching errors, investigating root causes, and explaining fixes before your users even notice.

No credit card required 5 lines of code Free plan forever