Integrations

Supercharge Codat with Relevance AI

Codat is a financial data integration platform that enables seamless connections between various financial systems and applications.

Enhance your financial data capabilities with AI agents that can generate insights, automate reporting, and drive intelligent decision-making.

Give your AI Agents Codat Superpowers

Codat unifies financial data from multiple systems through a single API. Relevance AI transforms this data into intelligent actions with AI agents that can analyze, predict, and automate financial workflows.

Real-time Financial Insights

The agent provides up-to-the-minute financial data for informed decision-making.

Enhanced Predictive Analytics

Utilizes historical data to forecast trends and identify potential financial issues.

Streamlined Compliance Management

Facilitates adherence to regulatory requirements through automated data access.

Tools

Equip AI Agents with the Codat Tools they need

Relevance AI gives you access to Codat's financial data integration capabilities within your AI agent workflows.

Security & Reliability

The integration uses secure OAuth authentication, ensuring only authorized workflows access your Codat data. Relevance AI handles API operations through Codat's standardized endpoints—so you don't have to worry about authentication tokens, request formatting, or rate limits.

Built-in data standardization and validation ensure your financial data flows smoothly between systems, maintaining consistency across all connected platforms.

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 Codat + Relevance AI integration without writing code:
  • Use proper authentication: Ensure your Codat API credentials are correctly configured and permissions are set.
  • Structure API requests: Follow Codat's endpoint patterns and use correct HTTP methods for each operation.
  • Handle data sync: Set appropriate sync frequencies and manage data refresh cycles efficiently.
  • Validate responses: Check status codes and response bodies to ensure successful data transmission.
  • Monitor usage: Keep track of API call limits and implement proper error handling for failed requests.