Integrations

Supercharge Big Data Cloud with Relevance AI

Big Data Cloud is an integration platform that offers advanced geolocation, time zone, and IP intelligence through REST APIs. With Relevance AI, you can transform this data into actionable insights, empowering your applications with enhanced location intelligence.

Give your AI Agents Big Data Cloud Superpowers

Big Data Cloud provides robust location-based services through its REST APIs. Relevance AI amplifies these capabilities by enabling intelligent AI Agents to leverage location data for smarter decision-making and automation.

Global Location Intelligence

Empowers the AI agent with precise geolocation data across 200+ countries for accurate location-based decision making

Real-Time Fraud Detection

Enables instant analysis of IP patterns and network behaviors to identify and prevent fraudulent activities

Dynamic Geo-Compliance

Automates geographic restriction enforcement and regulatory compliance across different jurisdictions

Tools

Equip AI Agents with the Big Data Cloud Tools they need

Relevance AI seamlessly integrates with Big Data Cloud to enhance your workflows with powerful geolocation and IP intelligence.

Big Data Cloud - Reverse Geocode
Converts geographic coordinates (latitude and longitude) into human-readable location information using BigData Cloud's API service
Big Data Cloud - Get Time Zone by Location
Retrieves timezone information for a specific geographic location based on provided latitude and longitude coordinates
Big Data Cloud - Get Time Zone by Location
Retrieves timezone information for a specific geographic location based on provided latitude and longitude coordinates
Big Data Cloud - Perform IP Geolocation
Determines geographic location information from an IP address, supporting both IPv4 and IPv6 formats with automatic detection of caller's IP if none specified
Name
Big Data Cloud API Call
Description
Make an authorized request to a Big Data Cloud API
Parameters
["OAuth authentication", "Multiple HTTP methods (GET, POST, PUT, DELETE, PATCH)", "Custom headers support", "Configurable request body", "Response handling with status codes"]
Use Case
A data analytics company uses Big Data Cloud API calls to automatically enrich their customer profiles with geolocation and demographic data, enabling them to deliver more personalized marketing campaigns and improve customer segmentation accuracy.

Security & Reliability

The Big Data Cloud integration leverages robust REST APIs to provide seamless access to geolocation, time zone, and IP intelligence capabilities. This integration allows developers to effortlessly incorporate location-based services into their applications, enhancing functionalities in eCommerce, advertising, financial services, and CRM systems.

Utilizing secure OAuth authentication, the integration ensures that only authorized workflows can access your Big Data Cloud data. Relevance AI manages API operations (such as GET, POST, PATCH, DELETE) in the background, alleviating concerns about errors, formatting, or limits.

With built-in validation and type conversion, your workflows will operate smoothly, even when dealing with varying data formats. The platform offers performant and scalable API access, comprehensive location intelligence, and flexible data formats and responses, making it an ideal choice for developers looking to integrate advanced location services.

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 Big Data Cloud + Relevance AI integration without writing code:
  • Start with clear API configurations: Ensure your OAuth credentials and base URL are correctly set up for seamless integration.
  • Utilize built-in functions: Leverage the reverse geocoding, time zone lookup, and IP geolocation features to enhance your applications quickly.
  • Validate inputs: Always check that latitude and longitude values are within valid ranges to avoid errors.
  • Implement error handling: Use try-catch blocks to manage authentication and rate limit errors effectively.
  • Monitor API usage: Keep an eye on your rate limits and consider caching responses to optimize performance and reduce API calls.