Arthur
arthur.ai
What it is
Arthur helps enterprises find AI agents across their environments and provides tools to observe and govern them. Discovery sensors monitor OpenTelemetry streams, MCP servers, network traffic, cloud APIs, and employee endpoints. The platform traces agent steps, tool calls, retrieved context, costs, latency, and behavior over time. Its governance features apply machine-checkable policies and provide real-time guardrail verdicts for prompt injection, PII exposure, restricted models, and off-policy tool use. Deployment options include hosted SaaS, on-premises, and hybrid; for hybrid setups, the evals engine runs beside customer workloads so sensitive data stays in the environment. Arthur lists RBAC, SSO, and deployed engineering support with every deployment option. Documented integrations include OpenAI, Anthropic, LangChain, LiteLLM, CrewAI, LlamaIndex, OpenAI Agents, Google ADK, AWS Bedrock, and Mastra. The Free plan is free, with up to four use cases, two projects, and seven-day data retention. Premium is $60 a month; Enterprise pricing is custom.
Spec sheet
- Product
- Arthur discovers agents across enterprise environments and provides a common framework to observe and govern them.Read 30 Sep 2026 · arthur.ai
- Deployment
- Arthur offers hosted SaaS, on-premises, and hybrid deployment options; its hybrid evals engine runs next to customer workloads so sensitive data stays in the environment.Read 30 Sep 2026 · arthur.ai
- Integrations
- Documented integrations include OpenAI, Anthropic, LangChain, LiteLLM, CrewAI, LlamaIndex, OpenAI Agents, Google ADK, AWS Bedrock, and Mastra.Read 30 Sep 2026 · docs.arthur.ai
- Headquarters
- Arthur’s privacy policy identifies the company as headquartered in Washington, DC.Read 30 Sep 2026 · arthur.ai
- Company history
- Arthur’s founder wrote that the company was founded about two years before its December 2020 Series A announcement.Read 30 Sep 2026 · arthur.ai
- Data connectors
- The documented platform connectors include BigQuery, Google Cloud Storage, Amazon S3, and Arthur Shield instances.Read 30 Sep 2026 · docs.arthur.ai
- Discovery
- Its discovery sensors monitor OpenTelemetry streams, MCP servers, network traffic, cloud APIs, and employee endpoints.Read 30 Sep 2026 · arthur.ai
- Enterprise support
- The Enterprise plan includes a dedicated customer success manager and advanced monitoring, SSO, SLAs, and BAA.Read 30 Sep 2026 · arthur.ai
- Evaluation engine
- Arthur’s open-source Evals Engine includes built-in PII, sensitive-data, custom-LLM, and regex rules and supports self-serve deployment.Read 30 Sep 2026 · arthur.ai
- Free-tier limits
- The Free plan includes monitoring for up to 4 use cases, unlimited seats, 2 projects, and 7 days of data retention.Read 30 Sep 2026 · arthur.ai
- Governance
- The platform supports machine-checkable policies and real-time guardrail verdicts for prompt injection, PII exposure, restricted models, and off-policy tool use.Read 30 Sep 2026 · arthur.ai
- Observability
- Arthur traces agent steps, tool calls, retrieved context, costs, latency, and behavior over time.Read 30 Sep 2026 · arthur.ai
- Security controls
- Arthur states that RBAC, SSO, and deployed engineering support come with every deployment option.Read 30 Sep 2026 · arthur.ai
Plans and prices
Strong points and limits
Strong points
- Monitors multiple agent discovery sources.
- Traces agent steps, calls, costs, and latency.
- Provides real-time policy guardrail verdicts.
- Offers hosted, on-premises, and hybrid deployment.
- Free plan includes unlimited seats.
Limits
- Free plan is limited to four use cases.
- Free plan includes two projects.
- Free plan retains data for seven days.
- Enterprise pricing is custom.
Who it suits
Arthur suits enterprises that need to discover, monitor, and govern AI agents across varied environments. Its hosted, on-premises, and hybrid options give teams different deployment choices.
Verdict
Arthur combines agent discovery with detailed observability and policy controls across several deployment models. Compare the Free and Premium limits with your expected use cases, projects, and retention needs.
Where Specifiction places it
- AI Model Explainability Software#1 of 298.4
- Machine Learning Model Monitoring Software#7 of 208.3
- Model Monitoring Software#12 of 248.4