DeepTracer is an AI agent for production apps. It monitors your logs 24/7, spots problems before users notice, and runs investigations automatically — telling you exactly what broke and how to fix it.
STRIPE_SECRET_KEY set in dev but missing in Vercel
production env. 3 users affected, $240 in failed checkouts.
Every 5 minutes, your agent runs a full health check — error rates, response times, LLM costs. The moment something looks off, it investigates automatically. By the time you wake up, the root cause is already found.
🔔 Investigation complete — root cause found in 43 seconds.
Can’t figure out why something broke? Just ask. Your agent reads your logs, finds the pattern, and explains it in plain English — no dashboards to learn, no query language to write.
I analyzed your LLM usage for the past 24 hours. Your costs jumped from $6.79/day to $47.18/day — a 595% increase. Here’s what happened:
Your system prompt grew from ~120 tokens to ~3,800 tokens
after the 2:14pm deploy (commit a3f9b12
“add full docs to system context”). Every GPT-4 Turbo request
now sends 3,500+ tokens before the user says a word — multiplied
across 1,247 API calls yesterday.
Every GPT-4 call, every Claude message — your app generates AI costs you can’t see in Vercel or your error tracker. DeepTracer tracks every LLM request, shows your cost per user, and alerts you before your invoice is a surprise.
Helicone charges $79/mo for LLM monitoring alone. DeepTracer includes it in Pro — alongside error tracking, ambient monitoring, and AI investigations — for $19/mo.
No dashboards to configure. No alert rules to write. Install the SDK, add five lines, and your AI agent starts watching immediately.
The questions we get most from developers before they add that first line of code.
When your agent detects an anomaly — or you ask a question — it pulls the relevant log entries, error traces, and recent deploy history. That context is sent to Claude (our AI) with a structured prompt asking for root cause, evidence, and a suggested fix.
The whole process typically takes 20–60 seconds. Your code and logs are never used to train AI models, and we pass only the minimum relevant context per investigation.
No. The SDK is async and non-blocking — events are batched and flushed in the background on a 2-second cycle. If our ingestion service is unreachable, events drop silently without affecting your app.
@deeptracer/core has zero dependencies. Typical overhead is <1ms per request.
Reactive (Free): your agent only investigates when you manually trigger it — like a doctor you visit. You get 3 investigations per month.
Guardian (Pro, $19/mo): your agent watches 24/7, runs health checks every 5 minutes, auto-investigates when thresholds are crossed, and sends Slack alerts before your users notice. Most people upgrade during a late-night debugging session after hitting the 3-investigation limit.
No. Never. Your logs are used only to generate investigation responses for you — they’re not retained by our AI provider beyond the API call, and we never use customer data to train models.
All data is encrypted in transit (TLS 1.3) and at rest. You can delete your data at any time from the dashboard.
Every log line, error, trace span, or LLM call your app sends counts as one event. A typical Next.js app with moderate traffic generates 10K–50K events/month. The free tier (25K/mo) covers most side projects.
If you go over, we never cut you off. Overages are billed at $0.50 per 100K events and you get an email at 80% and 100% usage.
Yes, they don’t conflict. Many users run both for a few weeks while getting comfortable, then drop Sentry once they realise they don’t need it.
DeepTracer tracks errors, LLM costs, logs, and traces in one place. Sentry only does errors. When you’re ready to switch fully, you can disable Sentry in one line.
More questions? Email us — we reply within a few hours.
Add 5 lines of code. Your agent starts watching immediately. Keep it on the free tier or unlock Guardian mode when you’re ready.
Free tier available · No credit card required · $19/mo to unlock Guardian mode