The logging platform built for AI-era apps. One integration gives you internal debugging logs and a user-facing activity trail.
* p95 latency. Actual search speed varies by data volume, query complexity, and region.
Zero-config discovery. AI agents find our API surface, construct queries, and validate payloads automatically.
Every day without them is a support ticket you'll answer, a deal you won't close, and a user who quietly churns.
"Did my payment go through?" "Who changed that setting?" — these questions land in your inbox every day. Audit trails answer them before they're asked.
Enterprise buyers ask for audit logs before they sign. Compliance teams require them. With Logtrail live, you stop losing deals to a checklist item.
Every log is a data point. Which features get used at 2am? Where do users drop off? Your audit trail becomes a single source of truth.
Audit trails aren't a compliance checkbox — they're the difference between users who tolerate your product and users who trust it.
Trust compounds. So does churn.
Your startup has a hundred things to build. Audit trails shouldn't take weeks of engineering time.
User-facing audit trail infrastructure — lightweight enough for indie hackers, powerful enough for serious SaaS teams.
Complex dashboards, query languages, and alert fatigue — designed for SRE teams at scale.
Beautiful activity feeds your users actually see, with the developer ergonomics you need.
No complex pipelines. No config files. Just logs that work for you and your users.
Query millions of logs instantly. Powered by optimized Postgres — fast, reliable, and predictable.
Built-in llms.txt and AGENT.md. Your AI coding tool already knows how to integrate Logtrail.
Query nested metadata with dot notation. No parsing, no transforms — just find what you need.
Turn your logs into a beautiful activity trail for end users. Same data, different view. One integration.
Type-safe SDKs for JS/TS with more coming. Simple REST endpoints for everything else.
Drop a ready-made activity feed into your app. Your users see their history — you write zero frontend code.
Same logs power your internal dashboard and your users' activity history. No duplicate systems.
Full technical detail. Stack traces, request IDs, latency — everything you need to ship with confidence.
Clean, human-readable events your users can see. Build trust with a professional activity history.
Paste our
AGENTS.md
into your agent and it's up to speed instantly.
Our docs are structured for LLMs. Agents discover every endpoint automatically.
View llms.txt →Step-by-step integration guide designed specifically for AI coding assistants.
View AGENTS.md →Your AI validates log payloads before they hit production. Catch errors early.
Say "add logging with Logtrail" in Cursor, Lovable, or any AI coding tool. Our AI-native metadata handles the rest.
→Every event is captured with full metadata. Search, filter, and query in real-time from your dashboard.
→Flip a flag to expose clean, filtered events as a user-facing activity feed. Same data, zero extra work.
If your app touches user data, you need audit trails. Here's what Logtrail powers.
Payment history, transaction audit trails, and compliance-ready records. Give users a Stripe-like activity history in your own app.
"Who edited this?" — version history, collaboration trails, content audit logs. Answer the question before it gets asked.
Login history, team activity, subscription events, and role changes. Full visibility for you and your customers.
API key usage, authentication events, access logs. Show users their security history and build confidence.
Add Logtrail to your app in under 5 minutes.