DataTrails is an API-first platform designed for digital content provenance and authenticity verification. With Relevance AI, you can leverage AI Agents to streamline asset management and enhance the integrity of your data workflows.
DataTrails provides a robust platform for verifying digital content authenticity. Relevance AI amplifies this capability by enabling intelligent AI Agents to automate processes and derive insights from your data.
Immutable Truth Verification
AI agent gains ability to verify and validate data authenticity through blockchain-backed audit trails
Supply Chain Orchestration
Agent leverages real-time tracking and smart contracts to coordinate complex multi-party supply chain operations
Smart Contract Optimization
Agent dynamically improves and automates business rules through intelligent contract analysis
Relevance AI seamlessly integrates with DataTrails to enhance your workflows with advanced asset tracking and event logging.
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 RKVST account
- A Relevance AI account with access to your workspace and datasets
- Authorization (you'll connect securely using API keys—no sensitive info stored manually)
Security & Reliability
The integration enables seamless interaction with DataTrails (formerly RKVST), an API-first platform for digital content provenance and authenticity verification. This integration allows you to create, manage, and track assets and events while maintaining an immutable audit trail of all activities.
With automated asset tracking and event logging, secure OAuth-based authentication, and RESTful API access to DataTrails functionality, you can ensure blockchain-backed data integrity for your workflows.
To get started, ensure you have a DataTrails account with API access and the necessary OAuth credentials. Your environment should support HTTPS and JSON parsing, with network access to app.datatrails.ai.
Once set up, you can create assets and events using simple JSON payloads, and handle custom API calls effortlessly. Built-in error handling and data validation ensure your operations run smoothly, even when dealing with complex data formats.
For troubleshooting, common issues include authentication errors, asset creation failures, and event recording issues. Always validate your input data and implement rate limiting to manage API requests effectively.
For additional support or specific issues, consult the DataTrails API documentation or contact technical support.
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 DataTrails (RKVST) + Relevance AI integration without writing code:
- Start with a clear asset structure: Use descriptive names and consistent attribute formats for your assets.
- Utilize predefined behaviors: Leverage built-in behaviors like "RecordEvidence" to streamline event logging.
- Authenticate securely: Ensure you use valid OAuth credentials and have the necessary permissions for API access.
- Test API calls with sample data: Validate your API requests using test assets and events to avoid issues in production.
- Monitor for errors: Implement error handling to catch and address authentication or data validation issues promptly.
