2027.dev
2027.dev measures how well digital products work for AI agents through agent-readiness scoring, benchmarks, certification, and traffic analytics.
Founded
20262027.dev measures how well digital products work for AI agents through agent-readiness scoring, benchmarks, certification, and traffic analytics.
2027.dev is an agent-readiness platform that scores, benchmarks, and certifies how well developer tools, APIs, documentation, and SaaS products work for autonomous AI agents. It runs Agent Arena, a public leaderboard where an AI coding agent attempts to adopt a tool inside an isolated container, and Evals, which measure Agent Experience on custom product flows.
The platform records tool calls, errors, timing, and token usage as deterministic session logs and surfaces friction points where agents get stuck, such as authentication gaps or missing documentation. Teams use the signals to prioritize fixes across the product surfaces that agents rely on.
2027.dev argues that autonomous coding agents will write the majority of software by 2027, making machine readability a survival requirement for any product with a digital interface rather than a developer-tools niche. Agent Experience is framed as the new frontier where products that agents cannot navigate will simply not be used.
As agents consume more documentation, APIs, and products than humans do, the company positions its scoring and certification infrastructure as the standard layer that helps products compete for agentic usage. The market opportunity spans every digital product that must be discoverable and usable by autonomous agents.
Agent Arena produces deterministic rankings because every run is recorded as a full session log of tool calls, errors, timing, and token usage, so comparisons across providers are reproducible rather than anecdotal. The same AI coding agent runs against each tool under identical conditions, isolating adoption friction that vendor self-reporting would miss.
Evals extend this to a team's own product flows using their custom prompts and API keys, and regression alerts in staging catch agent-experience degradation before changes reach production. The combination of public benchmarking and private evaluation gives providers both external positioning and internal prioritization.