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What is an API (application programming interface)?

API (application programming interface): Definition, types, key use cases, and advantages of APIs.

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What is an API?

An API, or application programming interface, is a set of rules and protocols for building and interacting with software applications.

APIs act as intermediaries, allowing two different applications to communicate with one another. This communication can involve sending and receiving data via APIs, meaning that different software components can interact and perform tasks.

By defining a clear set of methods and tools, APIs ensure that different software components can interact reliably, regardless of their underlying architecture or technology. Because of this, APIs have played a critical role in the growth of the internet, enabling cloud services, mobile application development, the flourishing of e-commerce platforms and apps, and the integration of web-based services.

What APIs do:

A simple example that illustrates the “interface” part of the API definition is your weather app. The weather app doesn’t store the weather data on the phone itself—the app’s developer might have nothing to do with weather forecasting or meteorology. Instead, it sends a request to a weather service’s API and receives current weather data. And then on the user side, that data is displayed in a neat and convenient way—in the app’s interface. This interaction between the user’s mobile app and the weather service is made possible by APIs.

How do APIs work?

APIs work by exposing a limited number of actions and data points with which external software can interact. When a software system needs to access a resource provided by another system (such as data or functionality), it sends a request specifying the action it is going to perform. This is called an API request. If the API is authorised, the system processes this request and sends back an API response.

APIs are often designed to be triggered by business events. An event is any action or change of state that is important to a business, such as when someone swipes a credit card, checks in for a flight, resets a password, or updates stock in a warehouse. In this way, APIs are often used in event-driven architectures to facilitate end-to-end processes where multiple systems are accessed to accomplish specific tasks related to the process.

Core components and structure

The core components and structure of an API include:

Endpoints are specific addresses (URLs for web APIs) where APIs can be accessed. Each endpoint corresponds to a particular resource or functionality (for example, /users or /products).

Methods are the permissible actions that can be performed at these endpoints. They are defined by HTTP verbs, such as:

API requests are messages sent from the client to the API server, which include the required data and parameters to perform the action. Requests may contain:

API responses are the data returned by the API server to the client. API responses may contain:

Authentication and authorisation mechanisms are there to verify identity and authorise access, usually using API keys, tokens, or OAuth.

Today, APIs are primarily designed according to a schema that determines the rules of API interaction and how an API is formatted, validated, and documented. Structured to ensure secure, reliable, and efficient communication between systems, APIs include specifications for routines, data structures, object classes, and variables.

Synchronous APIs vs asynchronous APIs

Synchronous APIs and asynchronous APIs refer to different approaches in the way software systems handle and respond to requests. These terms are commonly used in the context of programming and web development.

With synchronous APIs, when a request is made, the programme blocks and waits for the operation to complete before moving on to the next task. This means that the application is "synchronised" with the operation, and it will not proceed until the requested action is finished. Synchronous APIs are often used when simplicity and code readability are crucial.

With asynchronous APIs, when a request is made, the programme continues to execute other tasks without waiting for the operation to finish. This often results in faster response times. Asynchronous APIs are often used when responsiveness and performance are critical.

Why are APIs important?

APIs are important because they drive scalability, enable automation, and facilitate integration.

Scalability

APIs are essential in scaling applications and systems. They enable modular development, where different components can be scaled independently without affecting the entire system.

This is particularly vital for cloud computing, where the ability to handle varying loads dynamically is crucial. APIs assist with this by enabling applications to integrate and utilise services that can be scaled up or down as required. This ensures that resources are used efficiently and cost-effectively.

Automation

APIs are key drivers of automation. They enable different software systems to communicate and interact without requiring the user at every stage. This automation is one of the advantages of APIs because speed and efficiency are essential in modern workflows. By automating routine tasks through APIs, businesses can simplify processes, reduce workloads, and free up valuable resources for more complex tasks that require human supervision.

Integration

The advantage of APIs in integrating disparate systems cannot be overstated. They enable various software components to work together, regardless of their underlying technologies. This integration capability is crucial for businesses that use a multitude of software solutions. APIs help these solutions work together, providing a unified user experience and ensuring that data flows smoothly across different parts of the organisation.

Top 3 benefits of APIs

The key benefits of APIs include improved cost-efficiency, greater data accessibility, and faster development.

1. Cost-effectiveness

APIs significantly reduce development costs by saving development time. APIs also allow for the integration of third-party services, which can be more cost-effective than building complex systems from scratch.

2. Data accessibility

APIs democratise access to data. They provide controlled access to data sets that might otherwise be siloed within different departments or systems. This access supports data-driven decision-making. APIs ensure that data can be easily and securely accessed and shared where it is needed most, unlocking the potential for insights and innovation.

3. Faster development

APIs are designed with developers in mind. They offer well-documented, standardised ways of interacting with software, making it easier for developers to understand and use them. APIs support a modular, developer-friendly development process that reduces learning curves and enhances productivity.

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Examples and use cases for APIs

Examples and use cases for APIs are plentiful—most consumers who use computers or smartphones encounter them daily, without even realising it. Here are just a few common API examples most of us are likely familiar with:

Every time an app retrieves data from another service or performs an action through another platform, there is likely an API that is making it happen.

Industry-specific API use cases

APIs are able to connect different apps and systems. This capability enables many of the common industry use cases that have become ubiquitous. To give a few examples:

Finance: APIs have revolutionised the way banks and fintech companies operate, enabling services such as online payments, virtual wallets, real-time analytics, and automated trading.

Healthcare: APIs help connect patient records, hospital management systems, and telehealth services, improving care coordination and patient outcomes.

Travel: APIs are used to connect agencies and online booking platforms to airline databases, hotel reservation systems, and transport services.

Social media integration: APIs allow developers to integrate social features into their applications—not only the log-in, but also sharing content and retrieving user data.

E-commerce: APIs enable the integration of payment gateways, stock management, and customer service tools, creating a seamless shopping experience and enhancing customer satisfaction.

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Types of APIs

Types of APIs include RESTful API, OData, SOAP API, and GraphQL API:

RESTful API

Based on Representational State Transfer (REST) architecture, RESTful APIs are widely used for web services, operating over HTTP and using standard HTTP methods. They typically exchange data in JSON or XML format. RESTful APIs are stateless, meaning each request from a client contains all the information needed by the server to fulfil that request.

Key advantages: RESTful APIs are valued for performance, simplicity, ease of use, and scalability.

Commonly used in: Cloud services, mobile applications, and IoT devices.

OData API

OData, or Open Data Protocol, aims to simplify data sharing and integration across systems by providing a uniform way to expose and consume structured data. OData APIs follow specific conventions, enabling clients to interact with data resources using standard HTTP methods.

Key advantages: OData APIs support a rich query language, efficient data retrieval, and integrations between different services and platforms.

Commonly used in: Organisations seeking to improve data access and systems interoperability.

SOAP API

SOAP (Simple Object Access Protocol) APIs are highly structured and follow a strict protocol. They communicate via XML-based messages and are known for their robustness and extensibility. However, they can be more complex than RESTful APIs, leading to slower performance in certain scenarios.

Key advantages: SOAP APIs excel at transaction management and security.

Commonly used in: Enterprise-grade applications such as financial services and CRM systems.

GraphQL API

GraphQL is a query language for APIs and a runtime for executing those queries using a type system you define for your data. Unlike RESTful APIs, which have multiple endpoints, GraphQL APIs typically have a single endpoint. This approach allows clients to request exactly the data they require.

Key advantages: GraphQL APIs are more flexible and efficient, especially for complex systems with large amounts of different types of data.

Commonly used in: Data retrieval and requests that need to be tailored to specific requirements.

API lifecycle

A typical API lifecycle includes the following stages:

  1. Planning and design: Define the purpose, endpoints, data models, and authentication requirements, then create API specifications.
  2. Development: Build the API, implementing the logic, connecting it to databases or services, and ensuring proper error handling, versioning, and documentation.
  3. Testing: Verify that the API functions correctly, handles errors properly, and performs well under load.
  4. Deployment: Release the API to a production or staging environment where users can access it.
  5. Integration: Integrate the API into applications and provide clear documentation and SDKs if required.
  6. Monitoring: Track usage, performance, errors, and uptime to ensure the API runs smoothly.
  7. Maintenance: Apply updates, bug fixes, security patches, and improvements based on user feedback—or release new versions if the changes are substantial.
  8. Deprecation and retirement: Eventually, phase out older versions or the entire API if it is no longer needed, communicating changes and sunset plans to consumers.

API documentation and specifications

Clear, informative API documentation is an essential part of API development and use.

Without API documentation, even the best API can prove unusable. It’s the connective tissue between your API’s on-paper capabilities and actual use in the real world.

Main challenges with APIs

When it comes to APIs, challenges primarily centre around issues such as API security, compliance, deprecation, and API rate limiting.

API security risks

APIs, as interfaces to software applications, are vulnerable to various security threats, such as:

Ensuring robust security measures, such as authentication, authorisation, and encryption, is critical. API security is an ongoing process, requiring continuous monitoring and updates to safeguard against emerging threats.

API rate limiting

Managing the load on an API is crucial for maintaining performance and availability. API rate limiting is a strategy used to control the amount of traffic an API handles, preventing overuse or abuse and reducing the effectiveness of DoS (single source) and DDoS attacks. Implementing effective rate limiting can be challenging, as it must balance protecting the API from overload with allowing legitimate requests through.

Deprecation and versioning

APIs evolve over time, requiring updates and changes. Managing this evolution through versioning and deprecating older versions is a significant challenge. It involves ensuring backward compatibility, communicating changes to users, and transitioning users to the new version without disrupting their operations.

Vendor lock-in

One significant challenge for businesses using APIs is the risk of supplier lock-in. This happens when a company becomes excessively dependent on a particular vendor’s API, making it difficult to switch to another provider. Some ways to mitigate this risk include:

Compliance and data privacy

In an era where data is a crucial asset, compliance with data privacy laws and regulations is paramount. Businesses must ensure that their use of APIs adheres to standards such as the General Data Protection Regulation (GDPR) and the Health Insurance Portability and Accountability Act (HIPAA). This involves:

Regular audits and staying up to date with the evolving regulatory landscape are also essential for maintaining compliance and protecting customer data.

APIs and business impact

The integration of APIs has had a foundational impact on modern enterprises. For businesses, APIs are more than just a technology:

Best practices for managing API endpoints

Best practices for managing API endpoints focus on endpoint security, clarity, and efficient data transfer.

  1. Use clear, consistent naming and methods: Follow clear conventions, using nouns for resources and logical hierarchies, plural nouns for collections, and standard HTTP method verbs.
  2. Keep endpoints focused: Each endpoint should have a single, clear purpose rather than trying to do too many things at once.
  3. Prioritise API security: Implement robust authentication and authorisation mechanisms, such as OAuth 2.0, and ensure the encryption of data in transit using SSL/TLS. Regularly test your security with penetration testing and API security audits.
  4. Optimise endpoints for performance: Minimise data payloads by returning only necessary data, leverage caching mechanisms to reduce server load, and implement API rate limiting to control traffic and prevent overloading.
  5. Document everything: Maintain detailed, rigorous, up-to-date documentation for all endpoints, with examples and clear logging of any changes.

Looking ahead, the trajectory of API development points towards more personalised, intelligent, and context-aware APIs. Integrations of AI and machine learning with APIs are set to deliver smarter interfaces that can anticipate user needs and automate processes more efficiently, especially as AI is increasingly utilised in development.

Additionally, as concerns around data privacy and security grow, we can expect to see a stronger emphasis on API security practices and governance. Zero-trust architecture, strict authentication methods, and automated threat detection are becoming commonplace.

Another likely trend is the rise of serverless APIs, which can function without managing servers, using cloud functions that scale automatically.

Finally, we can also expect the API developer experience to improve. The software available to developers has become increasingly sophisticated, featuring more advanced documentation tools, interactive testing environments, and coding instruments. AI-enhanced developer tools offer machine learning, natural language processing, and generative AI capabilities—sometimes built directly into the coding software and made very accessible thanks to AI copilots.

FAQs

What is an API in simple terms?
An API, or application programming interface, is a set of rules and protocols that allow different software applications and systems to interact with each other.
How does an API work?
APIs work by exposing a limited number of actions and data points with which external software can interact. When another software system requires access, it sends an API request specifying the action it is going to perform. If the API is authorised, the system processes this request and sends back an API response.
What is an example of an API?
The weather apps on most smartphones are a simple and easy-to-understand example of an API. Rather than possessing meteorological data themselves, these apps use APIs to obtain up-to-date weather data from weather forecasting services and then display it for the user in the convenient and familiar interface of their weather app.
What are the main types of APIs?
The main types of APIs are RESTful API, OData, SOAP API, and GraphQL API.
Where are APIs used?
APIs are used in a wide range of digital ecosystems, SaaS platforms, and services, including mobile applications, cloud services, e-commerce platforms and apps, fintech products, digital healthcare systems, and the integration of web-based services.