Arthur
One control plane for teams to monitor, evaluate, and govern AI models and agents across development and production.
Arthur agent security and governance overview
About Arthur
Arthur is an AI control plane for monitoring, evaluating, and governing machine-learning models, LLM applications, and AI agents across development and production. Security, audit, governance, engineering, and product teams can discover agents, assign ownership and risk, enforce policies, and monitor behavior from one platform. Engineering workflows include prompt versioning, structured experiments, full-trace observability, live evaluations, alerts, and webhook integrations. Arthur is model-, framework-, and cloud-agnostic and supports SaaS, hybrid, and on-premises deployment. Teams can compare models with standard or custom metrics, while the AWS integration provides a central dashboard for models deployed in different locations. A Free plan supports unlimited users and up to four monitored use cases; Premium costs $60 per month and supports up to 100 use cases; Enterprise uses custom pricing and adds deployment, identity, support, and compliance options.
Best for
Best use cases
Start with core model monitoring and built-in cloud data connectors on the Free plan
Add custom metrics, dashboards, alerts, and webhooks as production monitoring expands
Use Enterprise deployment and access-control options for regulated or large-scale environments
Compare before choosing
Free caps monitoring at four use cases, while Premium raises the limit to 100
Premium adds custom metrics, dashboards, alerts, webhooks, and AI agent capabilities
Enterprise adds custom deployment, SSO, SLAs, BAA support, and dedicated customer success
Features
Agent governance
Discover agents, assign ownership and risk levels, enforce policies, and maintain audit controls.
Model evaluation
Compare LLMs and machine-learning models with standard or configurable custom metrics.
Production observability
Follow full-run traces, run live evaluations, detect regressions, and connect alerts to webhooks.
Flexible deployment
Operate through SaaS, hybrid, or on-premises deployment across model, framework, and cloud environments.
Pros
- One platform connects governance controls with development and production monitoring workflows
- Model-, framework-, and cloud-agnostic support reduces lock-in across mixed AI environments
- A $0 plan with unlimited users lets small teams test core monitoring before paying
Cons
- The Free plan is limited to four monitored use cases, which can constrain teams with several projects
- Premium costs $60 per month and still caps monitoring at 100 use cases
- VPC deployment, SSO, SLAs, and BAA support require a custom-priced Enterprise plan
Pricing Plans
Free
- Core model performance metrics
- Built-in cloud data connectors
- Monitoring for up to 4 use cases
- Unlimited users
Premium
- Everything in Free
- AI agent capabilities
- Customizable metrics and dashboards
- Custom alerts and webhook integrations
- Monitoring for up to 100 use cases
Enterprise
- Everything in Premium
- Dedicated and managed VPC options
- Custom data, jobs, traces, and evaluations
- Dedicated customer success manager
- Advanced monitoring, SSO, SLAs, and BAA
* Pricing information is for reference only. Please refer to the latest announcement on Arthur's official website.