Pylar Overview
Pylar provides the simplest and safest way to connect AI agents to your company's data stack. It acts as a secure governance layer between your agents and databases, ensuring that agents can only access the data you explicitly permit. By defining governed SQL views, you can control data access down to the row and column level, filter sensitive information, and even join data across different databases like Snowflake, BigQuery, and Postgres. This eliminates the security risks associated with giving agents direct database access.
How to use Pylar
Using Pylar is a straightforward process designed for speed and security:
1. Connect your data sources, such as databases (e.g., Snowflake, Postgres) or SaaS applications.
2. In the Pylar SQL IDE, write standard SQL queries to create 'views'. These views define the specific, sandboxed data that AI agents are allowed to access.
3. Build MCP (Model Context Protocol) tools on top of these views. You can use natural language prompts to have AI generate the tools or configure them manually for precise control.
4. Publish your tools to receive a single, secure MCP server URL and an authorization token.
5. Integrate this URL into any agent builder (like OpenAI, Claude, LangGraph, or Zapier) to provide your agents with governed data access.
6. Utilize the 'Evals' dashboard to monitor agent query performance, success rates, errors, and costs for continuous optimization.
Core Features of Pylar
- Governed SQL Views: Agents interact with secure SQL views instead of raw tables, allowing for precise control, row-level security, and PII filtering.
- AI-Powered MCP Tool Creation: Quickly generate agent-ready tools from your data views using natural language prompts or manual configuration.
- Universal Agent Builder Connectivity: A single MCP server URL and token seamlessly connect your tools to any agent framework, including LangGraph, Zapier, Claude, and the OpenAI Platform.
- Cross-Database Joins: Unify disparate data sources by joining tables across multiple databases (e.g., Snowflake, BigQuery, PostgreSQL) within a single view.
- Evals & Observability: Gain full visibility into agent interactions with your data. Track success rates, analyze errors, monitor query patterns, and understand costs.
- Robust Security Architecture: Ensures data safety with features like credential isolation via cloud KMS, view-level governance, safe query abstraction, and a strict policy of zero raw database access for agents.
Use Cases for Pylar
Pylar is ideal for teams looking to leverage AI agents with their internal data securely. Common use cases include:
- Building internal AI assistants for Revenue Ops, Support, and Sales teams to query customer data without security risks.
- Developing customer-facing AI agents for SaaS platforms that require sandboxed access to user data.
- Automating complex workflows in tools like n8n and Zapier by empowering them with real-time, governed data.
- Enabling AI-powered code editors like Cursor to safely interact with production databases for context-aware development.
Advantages of Pylar
Pylar offers significant advantages for teams deploying AI agents. It dramatically enhances security by creating an impenetrable layer between agents and sensitive databases. It simplifies and accelerates development by replacing the need for custom APIs and endpoints with easy-to-create SQL views and AI-generated tools. This allows teams to go from concept to production-ready agent tools in minutes, not weeks. The platform provides full observability for auditing and optimization, and its framework-agnostic design ensures it works seamlessly with any agent builder you choose.
Pricing and Plans
Pylar offers a transparent pricing model with a 14-day free trial (no credit card required).
- Starter Plan: $20/month for 5,000 agent executions, up to 3 users, and 1 data source connection.
- Team Plan: $49/month for 10,000 agent executions, up to 5 users, 3 data sources, and includes features like role-based access control.
- Growth Plan: $199/month for 25,000 agent executions, unlimited users, 5 data sources, plus an Evals dashboard, audit logs, and SSO authentication.
- Enterprise Plan: Custom pricing for unlimited executions and data sources, with options for private cloud or on-prem deployment and dedicated support.
Pylar FAQ
Traffic
Latest traffic
Status
Monthly traffic trend
- 2026-1: 104
- 2026-2: 2.4K
- 2026-3: 2.0K
- 2026-4: 1.4K
- 2026-5: 416
Geography
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- 🇮🇳India100.0%
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| posthog reverse proxy | $0.00 |
| pyla ai | $0.00 |
| pylar | $0.00 |
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