Vercel Launches Free AI Agent Readiness Tool 'Is Agentic'

Vercel has released Is Agentic, a free public tool designed to evaluate how readily artificial intelligence agents can discover, access, understand, and utilize a given website. The scoring and auditing process is conducted by Ora, an agent-experience research company affiliated with era labs. Vercel manages the user interface, generates report pages, handles data storage, and aggregates the information to produce the final readiness score. The tool is available at no cost, with no paid plans, subscription fees, or per-report charges. Users can access Is Agentic through a web browser by entering a URL or via a command-line interface (CLI) command: `npx is-agentic <domain>`. The public website, read-only API, CLI, and MCP server do not require an API key or billing account for use. Is Agentic is designed for a wide range of organizations, from seed-stage startups seeking a baseline audit without procurement processes, to mid-market SaaS teams that can integrate the `--json` output into their continuous integration (CI) pipelines as a regression gate. Enterprises can leverage the tool to benchmark various public-facing web surfaces, including documentation portals, developer sites, and e-commerce platforms, across different business units. The tool is particularly relevant for industries where AI agents might perform actions on behalf of users, such as developer tools and SaaS, e-commerce and retail, travel and hospitality, fintech, marketplaces, healthcare provider directories, and media or documentation publishers. Potential applications include pre-launch agent-readiness audits, CI checks to prevent builds from failing due to regressions in server-rendered content, competitive benchmarking against publicly available scores, validation of MCP servers or OpenAPI surfaces for discoverability, and prioritizing technical fixes with actionable remediation prompts. Ora's methodology assesses websites across four distinct layers that an AI agent navigates. 'Discovery' accounts for 20 points through 15 specific checks. 'Access' contributes 30 points, evaluated across 41 checks. 'Usability' is weighted at 40 points and comprises 56 checks. Finally, 'Payments' accounts for 10 points based on 6 checks. These components sum up to a total of 118 checks, aligning with Vercel's claim of "100+ checks." Ora states that this comprehensive checklist was developed by reverse-engineering actual AI agent interactions rather than through subjective opinion, aiming to provide a practical and objective measure of agent readiness.