Pagination

Overview

Our API supports paginated results to help manage and navigate through large sets of data efficiently. Pagination can be controlled using the limit and offset query parameters.

Query Parameters

• limit: Specifies the maximum number of records to return. This parameter is used to limit the size of the result set.

  • Type: Integer

  • Default: 10

  • Example: limit=20

• offset: Specifies the number of records to skip before starting to return results. This parameter is used to paginate through the data.

  • Type: Integer

  • Default: 0

  • Example: offset=40

Request

To fetch paginated results, include the limit and offset query parameters in your API request.

Endpoint

GET /v1/investments

Example Request

GET /v1/investments?limit=20&offset=40

Response

The response will include the requested records, along with metadata about the pagination.

Response Format

{
  "data": [
    {
      "id": 1,
      "name": "Example Item 1",
      ...
    },
    {
      "id": 2,
      "name": "Example Item 2",
      ...
    },
    ...
  ],
  "meta": {
    "totalRecords": 1000,
    "limit": 20,
    "offset": 40
  }
}

Response Fields

• data: An array of the requested records.

• meta: An object containing metadata about the pagination.

  • totalRecords: The total number of records available.

  • limit: The number of records returned in the current request.

  • offset: The number of records skipped before starting to return results.

Error Handling

Invalid limit or offset

If the provided limit or offset is invalid (e.g., non-integer or negative values), the API will return a 400 Bad Request status code.

Example Error Response

{
  "error": "Invalid query parameters",
  "message": "The 'limit' and 'offset' parameters must be non-negative integers."
}

Usage Example

Fetching the First Page of Results

GET /v1/investments?limit=10&offset=0

Fetching the Second Page of Results

GET /v1/investments?limit=10&offset=10

Fetching Results with a Custom Limit

GET /v1/investments?limit=50&offset=0

Best Practices

1. Set Reasonable Limits: To optimize performance and reduce load, set a reasonable limit value.

2. Handle Large Data Sets Efficiently: Use the offset parameter to paginate through large data sets without overwhelming the server or client.

3. Check Metadata: Always check the meta object in the response to understand the context of the returned data and plan further pagination if needed.