Autonomous Reliability

Your reliability agents shouldn't need a human to tell them what's wrong.

Causely gives your agents a live causal model of your system so they can detect, diagnose, and act before users notice.

In Production

Martin Roberts, Cloud & Platform Operations Lead at Fountain, showed a Causely webhook firing on elevated errors for a specific API endpoint.

The notification already contained the root cause, the affected services, and what needed to change. His background agent created a PR. The PR got merged shortly thereafter.

In Martin's words, a resolution that would have taken hours took minutes.

How It Works
01

Deploy Causely

Causely builds a live causal model of your system — services, dependencies, and failure paths.

02

Connect your agent via MCP

One config snippet. Works with Claude, Cursor, Codex, and any MCP-compatible agent.

03

Your agent acts

Root cause, blast radius, and safe actions. Delivered to your agent the moment something changes.

100%fault accuracy
48%fewer tokens
63%faster time to answer

Based on 72 experiments across four agent frameworks.