Integrations

Supercharge Verify Bee with Relevance AI

Verify Bee is a leading verification platform that ensures data accuracy and integrity through real-time validation services.

Enhance your data quality management with AI Agents that can automatically verify and maintain clean customer data.

Give your AI Agents Verify Bee Superpowers

Verify Bee delivers real-time data validation and verification at scale. Relevance AI transforms this into intelligent AI Agents that can automatically verify, cleanse, and maintain data quality across your operations.

Instant Data Validation

The agent can verify customer data in real-time, ensuring accuracy at every interaction.

Seamless Workflow Automation

Integrating with Verify Bee allows the agent to automate data verification processes effortlessly.

Cost Efficiency

The agent reduces operational costs by minimizing manual data entry and verification tasks.

Tools

Equip AI Agents with the Verify Bee Tools they need

Relevance AI gives you access to Verify Bee's data verification capabilities within your AI-powered workflows.

Security & Reliability

The integration leverages secure OAuth authentication to ensure only authorized workflows can access your VerifyBee data. Relevance AI manages API operations seamlessly in the background while providing built-in validation and data formatting to keep your verification workflows running smoothly.

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 VerifyBee + Relevance AI integration without writing code:
  • Configure authentication properly: Ensure OAuth credentials are correctly set up and permissions are granted.
  • Structure API requests: Use the correct HTTP methods and endpoints for your verification needs.
  • Manage headers effectively: Include necessary headers while remembering Authorization headers are auto-handled.
  • Handle responses appropriately: Monitor response status codes and body content for verification results.
  • Implement rate limiting: Space out verification requests to avoid hitting API usage limits.