API Calls

The call of a method of an API of a certain endpoint is called an API call. For example, API calls occur when the HubEngine communicates with the APIs of the systems. Without going into too much detail, to retrieve data from an API, you send an http request to it – more precisely, to an endpoint of that API. For example, the HubEngine sends requests to the systems’ APIs to retrieve changes, fetch data, send data to the systems, etc. These API calls cause web traffic and are therefore priced. The more API calls, the more load on the infrastructure and the more powerful hardware is needed, i.e. more memory (RAM) or processing power (CPU).

For example, the more frequently you synchronize, the more API calls your plans generate. Because e.g. changes are requested every minute. That means with intelligent configuration you save API calls.

Furthermore, the mass transfer function is available in most of our plans. This saves API calls besides their primary function to transfer data faster – namely by batch processing.

By the way, you can also see the number of API calls in the statistics view of HubEngine. Don’t be surprised why there is so little variance in the bar chart. This is our demo system. Calls are only generated here when we show our demo system to our customers and thus deliberately change or create new data 😉

HubEngine API Call Statistics
Under the tab "Statistics" you can see all API calls in real-time. You can also select freely the period that you want to consider.

Below the live bar chart, you can find logs about every single API call that was carried out. Here you have full transparency about what is happening!

HubEngine API Calls Overview
You can see all API calls of each plan in detail under the tab "Statistics".

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Book Recommendation

Customer Intelligence: Strategies and Use Cases for Leveraging Customer Data

Edited by Prof. Dr. Emanuel Bayer and Manuel Marini · Springer, 2026
The anthology shows how customer data becomes measurable value — with 22 contributions from academia and practice, structured along the five stages of the Customer Intelligence Evolution Framework (CIEF).

  • Framework: Targets & Commitment, Data Integration, Data Quality, Insights, Use Cases
  • Topics: Golden Record, Customer Data Platform, data enrichment, AI-driven personalization, compliance
  • Practice: Field reports from companies including Commerzbank, Deutsche Bank, ADAC, Dun & Bradstreet and IKB

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