Ipdata Co is a leading provider of IP geolocation and data enrichment services that helps businesses identify and analyze user locations in real-time.
Enhance your location-based intelligence with AI agents that can automatically respond to and leverage geographical data.
Ipdata Co delivers precise IP intelligence and location-based insights. Relevance AI transforms this data into intelligent AI agents that can make location-aware decisions and automate personalized experiences at scale.
Dynamic Personalization
Agents can tailor interactions in real-time based on user location.
Proactive Fraud Mitigation
Agents can identify and respond to suspicious activities instantly.
Enhanced User Engagement
Agents can deliver relevant content that resonates with users' geographical context.
Relevance AI gives you access to Ipdata Co's geolocation and data enrichment capabilities within your AI agent workflows.
What you’ll need
You don't need to be a developer to set up this integration. Follow this simple guide to get started:
- An Ipdata Co account
- A Relevance AI account with access to your project settings
- Authorization (you'll connect securely using API keys—no sensitive info stored manually)
Security & Reliability
The integration uses secure OAuth authentication, ensuring only authorized workflows access your IPdata.co location and IP intelligence data. Relevance AI handles API operations seamlessly in the background—managing request headers, authentication tokens, and response formatting automatically.
Built-in validation ensures accurate geolocation data delivery, while automatic type handling maintains consistent output formats across all API endpoints.
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 ipdata.co + Relevance AI integration without writing code:
- Use accurate IP addresses: Ensure IP addresses are properly formatted and validated before querying.
- Implement caching: Store frequently accessed IP data to reduce API calls and improve performance.
- Handle responses properly: Account for all possible API response fields in your data processing.
- Monitor usage: Keep track of API quota limits and implement appropriate error handling.
- Batch requests: Group multiple IP lookups when possible to optimize API usage.
