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API pagination guide

This document explains how to implement cursor-based pagination in API requests. It's designed to help developers efficiently retrieve data using our API.



In our API, a cursor is a base64 encoded string that represents a position in a dataset. It's used to fetch the next set of results in a paginated API query.

After decoding, a cursor might look like this:

"id": "0x6f304a275...",
"name": null,
"updated_at": "2022-11-15T14:13:02.591287Z"

Page size

Page size refers to the number of results returned in a single API response.Its purpose is to control the volume of data retrieved per request to manage server load and client-side data handling.

Remaining field

The remaining field indicates if more data is available (1: yes, 0: no).

Implementing pagination

  1. Initial request:
  • Make your first API call without a cursor to retrieve the first set of data.
  • Specify the page_size to control the number of results.
  1. Subsequent requests:
  • Use the cursor provided in the previous response to request the next set of data.
  • Repeat this step until remaining is 0.

Practical example

This script demonstrates fetching a list of filled orders from the Immutable X API for specified collections, using pagination with throttling in the Typescript SDK.

// Import SDK modules
import { config, x } from "@imtbl/sdk";

const { Environment } = config;

const {
imxClientConfig, // helper method to create a client config
ImmutableX, // alias for IMXClient
} = x;

// Function to fetch orders in a collection
async function listOrdersInCollections(cursor: string, collection: string) {
const environment = Environment.SANDBOX; // or Environment.PRODUCTION
const client = new IMXClient(imxClientConfig({ environment }));;
const ordersRequestParam: x.OrdersApiListOrdersV3Request = {
cursor: cursor,
pageSize: 20,
sellTokenAddress: collection,
status: "filled"
return await client.listOrders(ordersRequestParam);

// Function to paginate through orders with throttling
async function enumerateOrdersCursor(collection: string) {
let orders = [];
let remaining = 1;
let cursor = '';
let throttleCount = 0;

while (remaining === 1) {
const response = await listOrdersInCollections(cursor, collection);
remaining = response.remaining;
cursor = response.cursor;
orders = [...orders, ...response.result];

// Throttling mechanism: pause after every 5 requests
if (throttleCount % 5 === 0) {
await new Promise(resolve => setTimeout(resolve, 1000)); // 1-second delay
return orders;

// Main function for processing orders from multiple collections
async function main() {
const collections = ['0x07f68c5...', '0xb40a0df...'];
let orders = [];
for (const collection of collections) {
const result = await enumerateOrdersCursor(collection);
orders = [...orders, ...result];

// Execute and handle errors
.then(() => console.log('Completed listing orders'))
.catch(err => {


This guide provided a comprehensive overview of implementing cursor-based pagination, complete with a practical example incoporating throttling to ensure a smooth interaction with the API.

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