How to Use Kore.ai Public APIs: A Guide to the GetBot API with Pagination

Kore.ai provides a range of public APIs that allow developers to access bot configurations, manage conversations, and retrieve essential data programmatically.

This guide focuses on the GetBot API and explains how to effectively manage data retrieval through pagination, using parameters like limits and offsets.

Efficient API usage is critical for optimizing performance and ensuring that only the required data is processed.

This knowledge article is based on a series of demonstration videos detailing how to utilize these APIs effectively.

Key Concepts and Parameters

To utilize the GetBot API effectively, it’s essential to understand some core concepts and parameters:

Parameters:

  1. limit: Determines the maximum number of records to retrieve per request. By default, a small set of records may be returned, but adjusting the limit can help you pull more data per call.
  2. offset: Defines the starting point from which records should be retrieved. As you increase the offset, you can continue fetching additional records in a paginated manner.
  3. Pagination: When working with APIs that return a large dataset, it’s inefficient to retrieve all records at once. Instead, pagination allows you to pull records in chunks by adjusting the offset and limit values. This approach optimizes data retrieval and improves response times.

Best Practices for Efficient API Usage

  • Set Reasonable Limits: Avoid excessively large limits to prevent overloading the API server and your application. Instead, choose a reasonable limit (e.g., 10–20 records per call) that balances performance with response size.
  • Handle Errors Gracefully: Implement error handling for cases where the API call fails, e.g., due to connectivity issues or rate limits.
  • Review Response Metadata: The API response may include metadata indicating the total available records. Use this information to predict the required number of calls.
  • Optimize Offsets Dynamically: For larger datasets, dynamically adjusting the offset based on response size and data availability will help you manage memory usage efficiently.

Demonstration Videos:

Demo Content by @krishna.tanikella @aakash.tripathi