Runtime observability for AI-native engineering teams — and their agents.
It tells you what broke, in plain English, before you go looking. Anomalies caught automatically, root cause already written. 10× leaner than Datadog & Honeycomb.
No credit card · Point your data at one endpoint · Insights in minutes
checkout-api started throwing 500s on POST /charge at 02:14 — error rate jumped 14× over baseline.
Likely cause
Deploy v2.31.0 (8m before the spike) changed the payments client timeout. Downstream stripe.charge calls now exceed 3s and fail.
Dashboards make you dig. Xenonlog tells you.
The incumbents hand you a wall of graphs and a query language. You still have to know what to look for. Xenonlog reads your runtime for you and surfaces the one thing that matters — in a sentence, not a panel.
Everything you need to know what's wrong
Not another place to build dashboards. A system that watches, reasons, and tells you.
Automatic anomaly detection
Error-rate and latency spikes caught within 60s of happening — no thresholds to hand-tune, no alerts to wire up.
AI root cause, written for you
Every incident ships with a plain-English hypothesis, correlated against your recent deploys and downstream calls.
Ask anything
Hit ⌘K and ask your runtime in plain language. “Why is /charge slow?” returns traces, not a query you have to write.
Traces, logs, deploys, incidents
The whole runtime picture in one place — unified and correlated, so cause and effect sit side by side.
Slack-native alerts
The alert is the postmortem. Anomalies land in Slack with the root-cause hypothesis already attached.
10× leaner
A fraction of the cost of the incumbents. Built to be cheap to run and fast to read at any scale.
Observe your agents — and let your agents observe
AI is in your runtime now, on both sides. Xenonlog watches the agents you ship and hands the same runtime back to agents that can act on it.
Observe your agents
Full traces for the AI you ship
- →See every agent run end to end — prompts, tool calls, retries, and the spans in between.
- →Catch silent failures: loops, timeouts, blown token budgets, and tools that quietly error.
- →Latency and cost per step, so you know which call is the expensive one.
Built for agents to read
Runtime your agents can query
- →Your telemetry is exposed to AI — agents read live runtime to debug and act on their own.
- →The same ⌘K ask layer the humans use is available to your agents over a clean interface.
- →Close the loop: an agent detects a regression, pulls the traces, and proposes the fix.
Start watching your runtime in minutes
Point your data at one endpoint and let the AI do the looking. Free to start, no credit card, 10× leaner than the stack you're on.