Tech riderRev. 30 Sept 2026

Arthur

Ch 117.0of 24 Model Monitoring Software

1Runs onAPI, self-hosted, Web
2CostsFree plan · paid from $60/mo
3Drift monitoringYes
4Model performance metricsYes
5Bias monitoringYes
6Alert channelswebhook, Slack

6 lines stated Written from the maker's own pages: arthur.ai

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Overview

Arthur is ranked #11 of 24 in model monitoring software on Specifiction. It runs on API, Self-hosted, Web. There is a free plan. Paid plans start at $60/mo.

Arthur plans and pricing

All plans

Free Free $0/mo Up to 4 use cases · 1 organization · 1 workspace · 2 projects · 7-day data retention · 5k jobs · 300k spans · 12k inferences · 3k evals arthur.ai · 30 Sept 2026

Premium $60/mo $60/mo Up to 100 use cases · 1 organization · 1 workspace · 10 projects · 30-day data retention · 20k jobs · 1.2M spans · 100k inferences · 75k evals arthur.ai · 30 Sept 2026

Enterprise Not published Custom Unlimited organizations, workspaces, projects, and data retention · Custom jobs, spans, inferences, and evals · Dedicated and managed VPC options · SSO, SLAs, and BAA arthur.ai · 30 Sept 2026

Compared on model monitoring software

Free plan: Yesarthur.ai
Paid from: $60/moarthur.ai
Drift monitoring: Yesarthur.ai
Model performance metrics: Yesarthur.ai
Bias monitoring: Yesarthur.ai
Alert channels: webhook, Slackarthur.ai

Facts

Product: Arthur discovers agents across enterprise environments and provides a common framework to observe and govern them.arthur.ai · 30 Sept 2026
Discovery: Its discovery sensors monitor OpenTelemetry streams, MCP servers, network traffic, cloud APIs, and employee endpoints.arthur.ai · 30 Sept 2026
Observability: Arthur traces agent steps, tool calls, retrieved context, costs, latency, and behavior over time.arthur.ai · 30 Sept 2026
Governance: The platform supports machine-checkable policies and real-time guardrail verdicts for prompt injection, PII exposure, restricted models, and off-policy tool use.arthur.ai · 30 Sept 2026
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.arthur.ai · 30 Sept 2026
Security controls: Arthur states that RBAC, SSO, and deployed engineering support come with every deployment option.arthur.ai · 30 Sept 2026
Integrations: Documented integrations include OpenAI, Anthropic, LangChain, LiteLLM, CrewAI, LlamaIndex, OpenAI Agents, Google ADK, AWS Bedrock, and Mastra.docs.arthur.ai · 30 Sept 2026
Data connectors: The documented platform connectors include BigQuery, Google Cloud Storage, Amazon S3, and Arthur Shield instances.docs.arthur.ai · 30 Sept 2026
Enterprise support: The Enterprise plan includes a dedicated customer success manager and advanced monitoring, SSO, SLAs, and BAA.arthur.ai · 30 Sept 2026
Free-tier limits: The Free plan includes monitoring for up to 4 use cases, unlimited seats, 2 projects, and 7 days of data retention.arthur.ai · 30 Sept 2026
Evaluation engine: Arthur’s open-source Evals Engine includes built-in PII, sensitive-data, custom-LLM, and regex rules and supports self-serve deployment.arthur.ai · 30 Sept 2026
Company history: Arthur’s founder wrote that the company was founded about two years before its December 2020 Series A announcement.arthur.ai · 30 Sept 2026