Integrations

Supercharge Full Enrich with Relevance AI

FullEnrich is a B2B contact enrichment platform that enhances your contact data with verified email addresses and phone numbers. With Relevance AI, you can streamline this process, ensuring your data is accurate and actionable through advanced AI-driven workflows.

Give your AI Agents Full Enrich Superpowers

FullEnrich provides comprehensive B2B contact data enrichment with verified information. Relevance AI amplifies this capability by enabling intelligent AI Agents to automate and optimize the enrichment process.

Real-Time Intelligence Mastery

Agents gain instant access to verified company and contact data, enabling smarter, context-aware decisions in real-time.

Automated Data Orchestration

Seamless coordination of data enrichment workflows across multiple sources, eliminating manual research and verification tasks.

Proactive Opportunity Detection

Automatic identification of business changes and triggers that signal potential opportunities or risks.

Tools

Equip AI Agents with the Full Enrich Tools they need

Relevance AI seamlessly integrates with FullEnrich to enhance your contact enrichment workflows.

FullEnrich - Enrich Contact
Enriches B2B contact information by retrieving email addresses and phone numbers using a waterfall approach, with options to include additional company and professional details
FullEnrich - Get Enrichment Result
Retrieves the results of a previously initiated contact enrichment process, with the option to force partial results before completion
FullEnrich - Get Enrichment Result
Retrieves the results of a previously initiated contact enrichment process, with the option to force partial results before completion
FullEnrich - Get Current Credit Balance
Checks and returns the current available credit balance for the FullEnrich account
FullEnrich - Check If API Key Is Valid
Validates the authentication credentials by verifying if the provided API key is active and authorized
Name
FullEnrich API Call
Description
Make an authorized request to a FullEnrich API
Parameters
["OAuth authentication", "Multiple HTTP methods (GET, POST, PUT, DELETE, PATCH)", "Custom headers support", "Request body configuration", "Response handling with status codes"]
Use Case
A B2B sales team uses FullEnrich API to automatically enrich their lead database with company information, saving hours of manual research and ensuring data accuracy. The integration allows them to fetch detailed company profiles, employee counts, and revenue data directly within their existing workflow.

Security & Reliability

FullEnrich is a powerful B2B contact enrichment platform that enhances your contact data with verified email addresses and phone numbers through waterfall enrichment. By integrating with Relevance AI, you can seamlessly enrich contact information, verify API keys, and manage credit balances within your workflow.

This integration automates contact enrichment, provides real-time data verification, and supports webhooks for asynchronous processing, ensuring a comprehensive B2B data enrichment experience.

To get started, ensure you have the necessary accounts and credentials, including a FullEnrich account with API access, a Relevance AI account, and OAuth credentials with the required permissions. Make sure your system supports HTTPS for webhook endpoints and can handle JSON responses.

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 FullEnrich + Relevance AI integration without writing code:
  • Start with accurate contact data: Ensure that the initial data you provide is as complete and accurate as possible for optimal enrichment results.
  • Utilize webhooks: Set up webhook URLs to handle asynchronous processing and receive enrichment results in real-time.
  • Monitor credit usage: Regularly check your credit balance to avoid interruptions in service and plan for future enrichment needs.
  • Test with sample data: Before running large-scale enrichment requests, test the integration with a small set of sample contacts to ensure everything works as expected.
  • Implement error handling: Prepare for common issues by implementing error handling and retry logic to manage API responses effectively.