ora is an agent-readiness evaluation platform that scans websites and ranks how effectively AI agents can discover, interpret, authenticate with, and operate on them. It is designed around the idea that AI agents are becoming a new category of internet users, requiring websites to expose machine-readable interfaces, structured metadata, and agent-compatible workflows.

The platform analyzes domains using a combination of automated checks and AI-powered deep scans. These scans inspect technical artifacts such as robots.txt files, sitemaps, OpenAPI specifications, structured metadata, authentication flows, developer documentation, and AI-specific files like llms.txt and agent manifests. The goal is to determine whether an autonomous agent can successfully navigate and interact with a website without human intervention.

ora scores websites across categories including discovery, identity, authentication, agent integration, and user experience. Results are presented as an “Agent Readiness Score” with letter grades and comparative rankings against other products and companies. The platform also publishes leaderboards across sectors such as AI, developer tools, fintech, infrastructure, and productivity software.

A major component of the platform is “Deep Scan,” where AI agents simulate real-world usage of a product. These simulations involve browsing websites, evaluating APIs, testing authentication patterns, assessing search visibility, and attempting autonomous task completion. ora uses multiple AI systems during this process, including OpenAI, Claude, Gemini, DeepSeek, and its own internal agents.

The platform also promotes an open standard called “AgentReady,” which defines conventions and infrastructure patterns that make websites easier for AI agents to access and operate. This includes support for machine-readable metadata, API discoverability, structured auth flows, and AI-native integration patterns.

ora positions itself as infrastructure for the “agentic web,” where websites are increasingly optimized not only for humans and search engines, but also for autonomous AI systems.

Key features include:

• Agent Readiness Score with letter-grade rankings
• Automated scanning of websites and APIs
• AI-powered “Deep Scan” simulations using autonomous agents
• Evaluation of auth flows, discovery files, and structured metadata
• Detection of llms.txt, MCP manifests, OpenAPI specs, and agent configs
• Industry leaderboards across software categories
• Monitoring and weekly ranking updates for domains
• AgentReady open standard for AI-compatible websites
• API and MCP server support for integrations

Common use cases include:

• Evaluating whether a product is usable by AI agents
• Improving website compatibility with autonomous systems
• Benchmarking products against competitors on agent readiness
• Auditing AI discoverability and machine-readable infrastructure
• Preparing APIs and workflows for agent-based automation
• Monitoring readiness trends as the agentic web evolves

ora is developed by Era Labs and is positioned as an infrastructure and analytics layer for the emerging “agent-ready web,” where autonomous AI systems increasingly interact directly with online products and services.