Integrations

Supercharge Givebutter with Relevance AI

Givebutter is a comprehensive fundraising platform that enables organizations to raise money through donations, ticketing, and crowdfunding.

Enhance your fundraising efforts with AI agents that can engage donors, automate processes, and provide real-time analytics.

Give your AI Agents Givebutter Superpowers

Givebutter brings powerful fundraising and donor management capabilities to organizations. Relevance AI enhances this with intelligent AI agents that can automate engagement, provide real-time support, and drive better fundraising outcomes.

Intelligent Engagement

The agent fosters personalized interactions with donors, enhancing their experience.

Real-time Insights

Delivers immediate analytics, empowering organizations to make data-driven decisions.

Enhanced Donor Retention

Utilizes engagement strategies to build lasting relationships with donors.

Tools

Equip AI Agents with the Givebutter Tools they need

Relevance AI gives you access to a wide variety of Givebutter tools within your automated workflows and AI agents.

Security & Reliability

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

Built-in validation and error handling ensure your fundraising workflows run smoothly, even when processing multiple donation records.

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 Givebutter + Relevance AI integration without writing code:
  • Configure OAuth properly: Ensure correct account authorization and permission settings are in place.
  • Use correct endpoints: Reference the Givebutter API documentation for accurate path formatting.
  • Handle responses carefully: Monitor response status codes and body content for successful API calls.
  • Validate request bodies: Double-check payload formatting before making POST or PUT requests.
  • Implement error handling: Set up proper error catching for failed API calls and rate limits.