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Causely is a causal reasoning system for your agents and automation workflows. It understands why your systems behave the way they do, so you can resolve incidents faster and enable safe, automated decisions.

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Quick Start

Deploy the mediator, connect your telemetry, and give your agents access to Causely's causal model.

We support 20+ telemetry sources and integrate with leading AI agents and coding tools via MCP.

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Built for Reliability Agents

Agents fail not because they lack telemetry, they fail because they lack a causal model. Causely provides that model via MCP. Drop Causely into any agent. Get structured root cause analysis, blast radius, and remediation guidance, computed from your system's actual causal graph.

Incident Triage

See all active symptoms, identify root causes, and map the blast radius.

Quick Service Health

Resolve a service name and get a full health snapshot in two calls.

Post-Deploy Validation

Compare resource consumption, error rates and latency before and after a deployment for one service or an entire fleet.

Post-Incident Reporting

Generate structured postmortems and engineering tickets from resolved incident data.

Two ways to use Causely

On Demand. An alert fires, Causely answers why. Route existing alerts into Causely or let your agent query Causely's MCP server as part of an investigation. One call returns whether the alert is real or noise, the diagnosis, blast radius, and supporting evidence.

Proactive. Causely surfaces emerging system degradation with its diagnosis attached, and triggers a background agent to act. This same payload can be sent to any destination you choose before an SLO is violated or an incident is declared.

Your agents are ready. Give them the context to act.

Causely is the missing layer between your observability data and autonomous operations.

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