{"best_for":["Enterprise AI teams","Regulated industry AI developers","AI product managers","AI-driven organizations"],"citation":{"dataset":"aitoolsforbusiness-agent-tool-export","directory_tool_url":"https://aitoolsforbusiness.ai/arthur","json_profile_url":"https://aitoolsforbusiness.ai/data/tools/arthur.json","markdown_profile_url":"https://aitoolsforbusiness.ai/data/markdown/tools-md-004.json","schema_version":"1.4.0","suggested_citation_label":"AI Tools for Business: arthur (https://aitoolsforbusiness.ai/arthur)"},"features":["Continuous Evaluation: Supports testing and monitoring of AI systems from pre-production through runtime and live deployment.","Built-in Guardrails: Supports detection for PII leakage, prompt injections, toxicity, and hallucinations.","Agent Discovery & Governance: Includes tools to discover AI agents, enforce policies, and maintain oversight of agentic workflows.","Performance Observability: Tracks metrics such as data drift, classification accuracy, and precision/recall for traditional ML models.","Flexible Deployment: Can be deployed as a managed SaaS, within AWS/GCP environments, or as an on-premises installation.","Custom Evals: Allows teams to create custom metrics using SQL or Python to measure domain-specific performance."],"freshness_status":"fresh","name":"arthur","pricing_note":"Pricing includes a Free tier for up to 4 use cases, a Premium tier at $60/mo for up to 100 use cases, and custom pricing for Enterprise needs.","pricing_url":"https://arthur.ai/pricing","primary_category":"Software Development","profile_last_verified":"2026-06-05T07:27:01.137Z","secondary_categories":[],"short_description":"Arthur is an AI evaluation and monitoring platform that supports continuous evaluation and guardrails for ML, Generative AI, and Agentic AI systems.","slug":"arthur","sponsorship_status":"none","url":"https://aitoolsforbusiness.ai/arthur","use_cases":["Generative AI Monitoring: Tracking hallucination rates and enforcing acceptable use policies for RAG and co-pilot applications.","AI Agent Evaluation: Analyzing tool selection accuracy and groundedness for autonomous AI agents.","Traditional ML Model Oversight: Monitoring for data drift and accuracy in recommender systems and forecasting models.","Compliance in Regulated Industries: Using federated data planes to support data residency for banking and healthcare AI applications."],"website_url":"https://arthur.ai/"}