Linkup is a powerful API integration platform that allows you to connect AI systems with web-based data sources. With Relevance AI, you can leverage this integration to perform intelligent searches and generate sourced answers, enhancing your data-driven decision-making.
Linkup enables intelligent web searches and structured data retrieval, while Relevance AI empowers these capabilities with AI Agents that can analyze and act on the data intelligently.
Real-Time Data Enrichment Mastery
Empowers the AI agent to instantly validate and enhance contact information across all interactions
Precision Data Intelligence
Leverages machine learning algorithms to maintain 95% accuracy in contact and company information
Strategic Data Enhancement
Transforms raw contact data into enriched, actionable business intelligence in real-time
Relevance AI seamlessly integrates with Linkup to enhance your workflows by connecting AI systems with web-based data sources.
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
Linkup is a robust API integration platform that seamlessly connects AI systems with web-based data sources, enabling intelligent web searches and structured data retrieval through a straightforward API interface. This integration allows you to generate sourced answers tailored to your needs.
To get started, ensure you have a Linkup account with valid OAuth credentials and the necessary API access tokens. Your environment should support HTTPS and JSON parsing, and you must have read/write access to the Linkup API.
Authentication is set up using your OAuth account ID and permission type, while the base configuration includes the API's base URL and necessary headers. You can perform basic search queries, structured output searches, and custom API calls with ease.
Expect responses in standard or structured formats, and be prepared to troubleshoot common issues such as authentication errors, search depth problems, and schema validation errors. Implement best practices for performance optimization, error handling, and response validation to ensure smooth operation.
For further assistance, refer to the full API documentation or reach out to Linkup support for specific inquiries.
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 Linkup + Relevance AI integration without writing code:
- Start with a clear API configuration: Ensure your OAuth credentials and permissions are correctly set up for seamless integration.
- Utilize standard search depth: Begin with "standard" depth for initial queries to optimize performance and response time.
- Structure your output: Define a clear schema for structured outputs to ensure the data returned meets your needs.
- Test your queries: Run sample searches with test data to validate your setup before deploying in a production environment.
- Implement error handling: Use try-catch blocks to manage API errors gracefully and log issues for troubleshooting.
- Monitor API usage: Keep an eye on rate limits and implement caching for frequent searches to enhance efficiency.
