Integrations

Supercharge Bart with Relevance AI

Bart is a leading data integration and automation platform that streamlines workflows and enhances data accessibility across business functions.

Supercharge your data operations with AI Agents that can intelligently process, analyze, and act on your connected data sources.

Give your AI Agents Bart Superpowers

Bart excels at connecting and processing data from multiple sources in real-time. Relevance AI enhances this by adding intelligent AI Agents that can analyze, act on, and derive insights from this unified data stream.

Seamless Data Orchestration

The agent can effortlessly connect and manage data from multiple sources.

Real-Time Insight Generation

Empowers the agent to deliver actionable insights instantly as data changes.

Cost-Efficient Operations

Reduces operational costs by automating repetitive tasks and optimizing processes.

Tools

Equip AI Agents with the Bart Tools they need

Relevance AI gives you access to Bart's powerful data integration and automation capabilities within your AI-powered workflows.

Security & Reliability

The integration uses secure OAuth authentication, ensuring only authorized workflows access your BART transit data. Relevance AI handles API operations (like GET, POST, PUT, DELETE) in the background—so you don't have to worry about authorization headers, request formatting, or rate limits.

Built-in path validation and response parsing ensure your transit workflows run smoothly, even when station data formats vary.

No training on your data

Your data remains private and is never utilized for model training purposes.

Security first

We never store anything we don’t need to. The inputs or outputs of your tools are never stored.

To get the most out of the BART + Relevance AI integration without writing code:
  • Use proper authentication: Ensure your BART API credentials are correctly configured and permissions are set.
  • Structure API requests: Follow BART's endpoint patterns and use correct HTTP methods for each operation.
  • Handle responses effectively: Account for different response formats from real-time transit data.
  • Implement error handling: Set up proper fallbacks for service disruptions or API timeouts.
  • Monitor rate limits: Stay within BART's API usage guidelines to maintain reliable service.