DataNova OpenAPI

The DataNovaAI API serves as the backbone for integration and interaction between the DataNovaAI platform and external applications, services, or research tools. It is designed to facilitate data access, AI agent functionalities, and platform interactions in a secure, efficient, and user-friendly manner.

Key Features

• Data Access and Management:

  • Allows querying, uploading, downloading, and sharing of scientific data through standardized endpoints.

  • Supports pagination, filtering, and sorting of datasets based on various attributes like data type, quality score, or usage metrics.

• AI Agent Interaction:

  • Provides endpoints for submitting research questions or experiment designs to AI agents.

  • Enables retrieval of AI-generated answers, experiment results, or data analysis insights.

• User and Authentication Management:

  • Secure authentication mechanisms ensuring only authorized users can access or modify data.

  • Token-based authentication for seamless integration with third-party applications.

• Payment and Token Management:

  • API for handling transactions, including payments for data usage or AI services, using Nova tokens.

  • Endpoint for checking token balances, transaction histories, and initiating token transfers.

• Governance and Voting:

  • Interfaces for proposing and voting on governance changes within the DAO structure.

  • Real-time updates on governance proposals and voting outcomes.

API Architecture

• RESTful API: Utilizes REST principles for stateless operations, ensuring scalability and simplicity in client-server interactions.

• GraphQL: For more complex queries, offering flexibility in data retrieval where clients can specify exactly what data they need.

• WebSockets: For real-time data streaming, especially useful for live data updates or for monitoring AI agent processes.

API Security

• OAuth 2.0: For secure, token-based authentication, allowing fine-grained access control.

• SSL/TLS: All API endpoints are secured with SSL/TLS to ensure data in transit is encrypted.

• Rate Limiting: To prevent abuse and ensure fair usage among users.

API Examples

Example of Data Query API

GET /api/v1/datasets?type=genomics&minQuality=4 HTTP/1.1
Host: api.datanovaai.org
Authorization: Bearer YOUR_ACCESS_TOKEN

Example of AI Agent Interaction

POST /api/v1/ai/experiment HTTP/1.1
Host: api.datanovaai.org
Content-Type: application/json
Authorization: Bearer YOUR_ACCESS_TOKEN

{
  "experimentType": "simulation",
  "parameters": {
    "temperature": 300,
    "pressure": "1 atm"
  }
}

Development and Documentation

• SDKs: DataNovaAI will provide SDKs for popular programming languages (like Python, JavaScript, Java) to simplify API integration.

• Interactive Documentation: An OpenAPI/Swagger UI will be available for developers to test API endpoints directly from the browser, providing real-time feedback on API calls.

Future Enhancements

• Event-driven APIs: Expanding to include webhook services for real-time notifications.

• Machine Learning Model Serving: Potential future APIs for serving or training machine learning models directly through the platform.

• Interoperability: Enhancing API to work seamlessly with other blockchain and scientific data platforms for broader ecosystem integration.

By providing a robust, secure, and comprehensive API, DataNovaAI ensures that researchers and developers can leverage the full power of its decentralized data sharing and AI capabilities in their own applications or workflows.