Arthur vs SUPERWISE
Arthur
arthur.aiSUPERWISE
superwise.aiSide by side
| Figure | Arthur | SUPERWISE |
|---|---|---|
| Price from | $60/mo | $9/mo |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 12 |
| Spec score · Machine Learning Model Monitoring Software | 8.3 (#7) | 8.6 (#5) |
| Spec score · Model Monitoring Software | 8.4 (#12) | 8.6 (#9) |
| 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. | Sentinel gateways can run with Docker, Helm, Kubernetes, Windows, or managed containers on AWS, Google Cloud and Azure. |
| Integrations | Documented integrations include OpenAI, Anthropic, LangChain, LiteLLM, CrewAI, LlamaIndex, OpenAI Agents, Google ADK, AWS Bedrock, and Mastra. | The platform connects through REST APIs, the superwise-api SDK and Flowise external-agent registration. |
| Observability | Arthur traces agent steps, tool calls, retrieved context, costs, latency, and behavior over time. | The platform records operational telemetry, drift signals, dashboards, alerts and audit trails for governed AI systems. |
Plans
SUPERWISE
- Chat SoloFree
- Chat Professional$9 a month
- Sentinel Solo$10 a month
- Solo$10 a month
- Pro$25 a month
- Sentinel Pro$25 a month
- Chat Business$49 a month
- Business$50 a month
- Sentinel Business$50 a month
- Chat Business Plus$69 a month
In their own words
Arthur
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.
SUPERWISE
SUPERWISE AMP is an AI governance platform that sits between AI applications and models to observe interactions and apply policies. Its guardrails evaluate inputs and outputs, with policy evaluation advertised as taking under 10 ms. Agent Studio supports building, testing, and deploying agents, with governance and automated failure detection. The platform monitors operational health and drift and offers analytics, dashboards, audit trails, compliance reports, and metrics for model performance, data quality, and bias. SUPERWISE says it connects to 50+ providers, vector databases, and enterprise tools, including OpenAI, Anthropic, AWS Bedrock, LangChain, Pinecone, Snowflake, Salesforce, and Slack. It provides REST API and Python SDK access. AMP is managed SaaS by default, with connections to private, on-premises, and air-gapped environments. Sentinel inspects prompts locally and redacts secrets and personal data before they leave the machine; traffic does not pass through SUPERWISE. Plans start at $10/mo, with a 30-day trial and no free plan.