Integrations

Supercharge Get Emails with Relevance AI

GetEmails is an email discovery and verification platform that enables you to find and verify email addresses using domain names and full names. Relevance AI enhances this process by allowing you to automate and scale your email discovery workflows with AI Agents.

Give your AI Agents Get Emails Superpowers

GetEmails empowers you to find and verify email addresses effortlessly. With Relevance AI, you can leverage this capability to create intelligent workflows that automate and optimize your email outreach efforts.

Real-Time Lead Intelligence

Agent instantly processes and analyzes visitor data to identify high-value prospects the moment they land on your website

Predictive Lead Scoring

Agent evaluates and ranks discovered contacts based on engagement patterns and firmographic data to prioritize outreach efforts

Dynamic Workflow Orchestration

Agent coordinates complex lead nurturing sequences by automatically routing contacts to appropriate channels and campaigns

Tools

Equip AI Agents with the Get Emails Tools they need

Relevance AI seamlessly integrates with GetEmails to enhance your email discovery and verification workflows.

GetEmails - Find Email
Searches and retrieves email addresses by using a person's full name and domain/company information, with optional enrichment for additional prospect details
GetEmails - Status Find Email
Checks the current status of a previously initiated email search request by using the record ID from a find-email operation
GetEmails - Status Find Email
Checks the current status of a previously initiated email search request by using the record ID from a find-email operation
GetEmails - Verify Email
Validates the existence and deliverability of a specific email address to ensure it is active and properly formatted
Name
GetEmails API Call
Description
Make an authorized request to a GetEmails API
Parameters
["OAuth authentication", "HTTP methods (GET, POST, PUT, DELETE, PATCH)", "Custom headers", "Request body configuration", "Response handling"]
Use Case
A marketing team uses GetEmails API to automatically retrieve and verify email addresses from their website visitors, enabling them to build targeted lead lists and expand their outreach campaigns without manual data entry.

Security & Reliability

The GetEmails integration utilizes a straightforward API interface to automate email discovery and verification workflows. By leveraging secure OAuth authentication, only authorized applications can access your GetEmails data, ensuring the integrity of your operations.

With this integration, you can effortlessly find email addresses using just names and domains, verify their validity, and enrich your contact data—all while Relevance AI manages the API operations in the background. This means you don’t have to worry about errors, formatting, or rate limits.

Built-in validation and type conversion ensure that your workflows run smoothly, even when data formats vary. For optimal performance, remember to implement error handling and rate limit management in your production environment.

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.

Get Started

Best Practices for Non-Technical Users

To get the most out of the GetEmails + Relevance AI integration without writing code:
  • Start with accurate data: Ensure that the names and domains you provide are correct and formatted properly for optimal email discovery.
  • Utilize the API efficiently: Make use of the provided API endpoints for finding and verifying emails to streamline your workflow.
  • Monitor your API usage: Keep an eye on your rate limits and adjust your requests accordingly to avoid throttling.
  • Implement error handling: Use try-catch blocks to manage potential errors gracefully and ensure your application remains stable.
  • Test thoroughly: Validate responses and test your integration with sample data before deploying it in a live environment.