Arthur vs Deepchecks
Arthur
arthur.ai
Deepchecks
deepchecks.comSide by side
| Figure | Arthur | Deepchecks |
|---|---|---|
| Price from | $60/mo | Free |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | Yes |
| Web | Yes | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 8 |
| Spec score · Machine Learning Model Monitoring Software | 8.3 (#7) | 8.9 (#2) |
| Spec score · Model Monitoring Software | 8.4 (#12) | 8.9 (#6) |
| 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. | Deployment options listed include multi-tenant SaaS, virtual private cloud on GCP or Azure, bare metal, and AWS-managed deployment. |
| Headquarters | Arthur’s privacy policy identifies the company as headquartered in Washington, DC. | Ramat Gan, Israel |
| Integrations | Documented integrations include OpenAI, Anthropic, LangChain, LiteLLM, CrewAI, LlamaIndex, OpenAI Agents, Google ADK, AWS Bedrock, and Mastra. | The integrations page describes Deepchecks integrations with pytest, Apache Airflow, ZenML, and CML. |
| Product | Arthur discovers agents across enterprise environments and provides a common framework to observe and govern them. | Deepchecks LLM Evaluation is an AI testing, observability, and monitoring platform for AI systems in production. |
Plans
Deepchecks
- BasicFree
- Open-Source MonitoringFree
- Startup MonitoringPriced on request
- BasicPriced on request
- Dedicated MonitoringPriced on request
- EnterprisePriced on request
- Partnership MonitoringPriced on request
- ScalePriced on request
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.
Deepchecks
Deepchecks has no write-up on Specifiction yet; its figures are above.