Integrations

Supercharge Benzinga with Relevance AI

Benzinga is a financial news and data platform providing real-time market insights and analysis to help investors make informed decisions.

Enhance your market intelligence with AI agents that can process financial data, analyze sentiment, and automate investment research workflows.

Give your AI Agents Benzinga Superpowers

Benzinga delivers real-time financial news and market data from trusted sources. Relevance AI transforms this data into intelligent actions through AI agents that can analyze trends, detect patterns, and trigger automated responses.

Real-Time Insight Generation

The agent harnesses live market data to deliver immediate insights for informed decision-making.

Automated Trend Analysis

It continuously analyzes market trends, providing users with actionable intelligence without manual effort.

Customizable Alert Systems

Users can define specific criteria for alerts, ensuring timely notifications on critical market events.

Tools

Equip AI Agents with the Benzinga Tools they need

Relevance AI gives you access to Benzinga's financial data and market insights within your AI agent workflows.

Security & Reliability

The integration leverages secure OAuth authentication to safely access Benzinga's market data and news APIs. Relevance AI manages the API operations seamlessly, handling GET, POST, PUT, PATCH and DELETE requests while automatically managing authorization headers and request formatting.

Built-in validation ensures your market data workflows run reliably, with automatic handling of API responses and error conditions.

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 Benzinga + Relevance AI integration without writing code:
  • Use proper authentication: Ensure your Benzinga API credentials are correctly configured and permissions are set.
  • Structure API requests: Follow Benzinga's endpoint patterns and use appropriate HTTP methods for each call.
  • Handle data formats: Ensure JSON payloads are properly formatted when making POST or PUT requests.
  • Implement error handling: Monitor API response codes and implement appropriate retry logic.
  • Respect rate limits: Stay within Benzinga's API rate limits and implement appropriate request spacing.