Every need—ranging from business partnerships and hiring to personal networking—is currently trapped inside fragmented, closed platforms. Traditional matching services lock their user data within walled gardens to protect their own business models. As a result, this critical data becomes isolated and completely inaccessible to external AI systems, enterprise developers, and individual agents.
Limitation
The advancement of AI has drastically reduced information processing time. However, AI faces a critical bottleneck: it cannot execute real-world matching because it lacks access to readable, verified needs data. Existing platforms do not provide programmatic access structured around privacy and data reliability. Without an open infrastructure that provides trust-verified data for AI to utilize, agents are restricted from connecting these needs.
Solution
Markidy is the Needs Data Infrastructure designed to solve this fundamental problem. We do not lock data away. Instead, we implement advanced 'category-specific standardization' and open it up. By providing data built strictly on privacy and Trust Levels, we allow individuals, companies, and AI agents to freely utilize and connect every need via API, MCP, and CLI.