Arthur AI
Arthur is an enterprise AI governance and observability platform for discovering, monitoring, evaluating, and governing AI and ML systems in production. The Arthur Platform API (internally "Arthur Scope", OpenAPI 3.1) exposes 213 operations across models, tasks, datasets, connectors, metrics, alerts, alert rules, policies, workspaces, projects, agents, and webhooks, secured with OAuth2 via Keycloak. Arthur also ships the open-source Arthur Engine (LLM guardrails plus ML evaluation), the arthur-bench LLM evaluation library, Python client SDKs, and an Agent Toolkit with a Claude Code integration for end-to-end tracing.
Arthur AI publishes 1 API on the APIs.io network: Arthur Platform API. Tagged areas include Company, AI, AI Governance, AI Observability, and Machine Learning.
The Arthur AI catalog on APIs.io includes 1 event-driven AsyncAPI specification.
Arthur AI’s developer surface includes documentation, getting-started guide, engineering blog, pricing, support, authentication, changelog, and 22 more developer resources.
API Rating
APIs
Arthur Platform API
The Arthur Platform REST API (Arthur Scope) for managing models, tasks, datasets, connectors, metrics, alerts, alert rules, policies, workspaces, projects, agents, and webhooks....
MCP Servers
arthur-ai-mcp.yml
MCP SERVEREvent Specifications
Arthur Ai Webhooks
ASYNCAPIResources
Get Started 3
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 4
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 6
Pagination, idempotency, versioning, errors, and events
Build 3
SDKs, sample code, and the tooling you integrate with
Access & Security 3
Authentication, authorization, and security posture
Operate 3
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
Other 1
Properties that don't map to a standard resource type