Integrations

Supercharge Big Data Corp with Relevance AI

BigDataCorp offers powerful data enrichment capabilities, allowing access to comprehensive information about Brazilian entities. With Relevance AI, you can enhance this integration by utilizing AI Agents to automate data processing and gain deeper insights.

Give your AI Agents Big Data Corp Superpowers

BigDataCorp provides extensive data on Brazilian addresses, people, and companies, while Relevance AI empowers you to leverage this data with intelligent AI Agents that automate and optimize your processes.

Real-Time Intelligence Mastery

Process millions of data points instantly to deliver hyper-relevant insights and responses.

Predictive Foresight

Leverage advanced analytics and machine learning to anticipate user needs and market trends.

Unified Data Orchestration

Seamlessly connect and analyze data from 200+ sources for comprehensive understanding.

Tools

Equip AI Agents with the Big Data Corp Tools they need

Relevance AI seamlessly integrates with BigDataCorp to enhance your data workflows with enriched insights.

BigDataCorp - Get Address Data
Retrieves detailed geographical and environmental information for a given address or zipcode, including data about legal Amazon regions, preservation areas, biomes, and basic address details
BigDataCorp - Get Person Data
Fetches comprehensive personal information including contact details, registration data, related contacts, and vehicle ownership information for a specified individual
BigDataCorp - Get Person Data
Fetches comprehensive personal information including contact details, registration data, related contacts, and vehicle ownership information for a specified individual
BigDataCorp - Get Company Data
Retrieves detailed business information including contact details, registration data, related personnel, political connections, and online advertising presence for a specified company
Name
BigDataCorp API Call
Description
Make an authorized request to a BigDataCorp 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 financial services company uses BigDataCorp API integration to verify customer identities in real-time during onboarding, reducing fraud risk by automatically validating submitted documents and personal information against BigDataCorp's extensive database.
Quick Start

Connect Big Data Corp to Relevance AI in minutes

Security & Reliability

The integration between BigDataCorp and Relevance AI utilizes secure OAuth authentication, ensuring that only authorized workflows can access comprehensive data on Brazilian addresses, people, and companies. Relevance AI manages API operations (such as querying person, company, and address data) seamlessly in the background, allowing you to focus on leveraging enriched data without worrying about errors, formatting, or limits.

With built-in validation for Brazilian document formats (like CPF, CNPJ, and CEP), the integration guarantees that your data requests are accurate and reliable. Additionally, the streamlined API authentication and request handling enhance the efficiency of your data enrichment processes.

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 BigDataCorp + Relevance AI integration without writing code:
  • Start with valid credentials: Ensure you have a BigDataCorp account with API access and valid OAuth credentials.
  • Use clear document formats: Validate CPF, CNPJ, and CEP formats before making requests to avoid errors.
  • Leverage available datasets: Familiarize yourself with the datasets available for person, company, and address queries to maximize data enrichment.
  • Test queries with sample data: Run queries using test document numbers to ensure your integration works as expected before scaling.
  • Implement error handling: Use try-catch blocks to manage API errors gracefully and log issues for troubleshooting.
  • Monitor API usage: Be aware of rate limits and implement request throttling to prevent hitting the maximum request threshold.