Pylar is a tool that simplifies the integration of AI agents with data sources while maintaining security. Users can connect tools like Postgres and Snowflake, merging customer information to enable agents from platforms like n8n and Langchain to perform tasks without writing extensive API code. Users report significant time savings; what once took weeks can now be done in under ten minutes with just a single SQL view. Pylar acts as a control center, allowing users to tweak data views and instantly update agents without redeployment. Security is a primary concern, especially when connecting AI agents to live data. Pylar addresses this by ensuring that agents only access data defined by users through SQL views, not raw tables. The tool isolates credentials and implements view-level governance, reducing the risk of accidental data exposure. It supports various data sources, including BigQuery, Redshift, and MySQL, and integrates seamlessly with multiple agent builders like OpenAI, Claude, and Zapier. Users can create agent-ready tools in under two minutes with no backend engineering required. The process is straightforward. Users craft SQL queries to define data access, create tools from natural language prompts, and connect those tools to agent builders via a single URL and token. Changes made in Pylar automatically sync across connected platforms. The system enhances data security while providing flexibility for AI deployments, reducing the complexity of managing multiple data integrations.