🔐Data as a Service

Using DataBot's API

Introduction DataBot's API provides seamless access to our comprehensive web3 analytics, allowing developers to integrate our insights directly into their products. This guide will walk you through the steps to utilize our API effectively.

Getting Started

  1. API Key: To use DataBot's API, you first need an API key. Register on our platform and navigate to the API section to generate your unique key

  2. Documentation: Familiarize yourself with our API documentation. It provides detailed information on available endpoints, request methods, parameters, and response formats

Making Requests

  1. Base URL: All API requests should be made to the base URL provided in the documentation. Append endpoints to this base URL for specific data queries.

  2. Headers: Include your API key in the request header as Authorization: Bearer YOUR_API_KEY_HERE. This authenticates your requests.

  3. Endpoints: Use the specific endpoints for accessing different types of data. For example, /api/projects/trending to get trending projects or /api/kol/activities for activities of key opinion leaders.

Examples

  • Fetch Trending Projects:

    GET /api/projects/trending?timeframe=weekly
    Authorization: Bearer YOUR_API_KEY_HERE
  • KOL Activities:

    GET /api/kol/activities?kol=@username
    Authorization: Bearer YOUR_API_KEY_HERE

Response Handling

  • Responses are returned in JSON format. Ensure your application can parse JSON.

  • Check response status codes to handle errors gracefully. 200 OK indicates success, while codes like 401 Unauthorized suggest issues with API key authentication.

Rate Limits

  • Be mindful of rate limits to avoid service interruptions. If you exceed the limit, you will receive a 429 Too Many Requests status code. Consider caching responses or adjusting your request frequency.

Support

  • If you encounter issues or have questions, our support team is available. Reach us via our community channels for assistance.

Conclusion

DataBot's API opens up a world of possibilities for integrating web3 analytics into your applications. By following these guidelines, you can leverage our Data as a Service to enhance your products with valuable insights and predictions.

Last updated