CUFinder is a powerful B2B Lead Generation platform that helps businesses drive growth and increase sales through intelligent email and company data discovery. With Relevance AI, you can leverage AI Agents to enhance your lead generation efforts and streamline data access.
CUFinder empowers businesses with intelligent email and company data discovery. Relevance AI amplifies this capability by enabling AI Agents to automate and optimize lead generation processes.
Instant Data Mastery
Empowers the agent with real-time access to comprehensive company and contact intelligence
Precision Targeting
Enables hyper-accurate lead qualification through validated business data and decision-maker insights
Strategic Insight Generation
Transforms raw company data into actionable market intelligence and competitive insights
Relevance AI seamlessly integrates CUFinder into your workflows, enhancing lead generation and data discovery.
What you’ll need
You don't need to be a developer to set up this integration. Follow this simple guide to get started:
- A Relevance AI account
- An Airtable account with access to the base and table you'd like to use
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
CUFinder is a robust B2B Lead Generation platform designed to enhance business growth and sales through intelligent email and company data discovery. This integration allows developers to effortlessly access CUFinder's API capabilities for locating company email addresses and contact information via domain-based searches.
To get started, ensure you have a CUFinder account with API access and the necessary OAuth credentials. The integration supports secure OAuth authentication, allowing only authorized workflows to access your CUFinder data. Relevance AI manages API operations (like GET, POST, PATCH, DELETE) in the background, alleviating concerns about errors, formatting, or limits.
Built-in validation and type conversion guarantee that your workflows operate seamlessly, even when data formats differ. For example, when looking up company email addresses, you can easily implement API calls and handle responses effectively, ensuring a smooth integration experience.
For troubleshooting, common issues such as authentication errors, rate limiting, and invalid domain formats are addressed with clear solutions. Best practices for error handling and response validation are also provided to enhance your integration's reliability.
For further assistance, refer to the API documentation and support contact provided in the resources section. This guide serves as a foundational resource for implementing CUFinder's API integration, with additional details available for more advanced use cases.
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 0CodeKit + Relevance AI integration without writing code:
- Start with a clear setup: Ensure your 0CodeKit account is properly configured with the necessary OAuth credentials and permissions.
- Utilize example code: Leverage the provided code snippets for PDF compression and barcode reading to jumpstart your integration.
- Validate inputs: Always check your input parameters for correctness before making API calls to avoid unnecessary errors.
- Test with sample data: Run your automations using test PDFs and images to ensure everything works smoothly before going live.
- Monitor API usage: Keep an eye on your API calls to avoid hitting rate limits, and implement caching where appropriate.
