AI Gateway

AI Gateway for IBM API Connect® empowers you to accelerate your AI journey with confidence. This AI Gateway provides a single point of control for organizations to access AI services via APIs in the public domain and brokers secure connectivity between your different applications and third-party AI APIs both within and outside your organization’s infrastructure. It acts as the gatekeeper for data and instructions that flow between those components. The AI Gateway provides policies to centrally manage and control the use of AI APIs with your applications, as well as key analytics and insights to help you make decisions faster on Large Language Model (LLM) choices.

API Agent

Supercharge your AI team: built on an agentic framework, the API Agent automates key tasks across the API lifecycle. It works through a conversational interface, helping your team quickly generate specs, validate APIs, detect issues, apply governance and test. By handling repetitive work and providing expert guidance, API Agent shortens development cycles, reduces errors, and lets your developers focus on building better APIs faster.

API gateway

Based on IBM DataPower, this enterprise gateway is designed to securely expose data and business applications wherever they reside, on premises and across clouds. It provides a comprehensive set of policies for security, traffic management, mediation, accelerations and support for non-HTTP protocols. The gateway acts as the gatekeeper to the applications calling your APIs and helps protect your APIs at runtime; it also logs and reports API interactions to analytics for insights and reporting.

API manager

A UI to facilitate full-lifecycle API management, API manager user interface in IBM API Connect® helps you organize, publish and analyze any API across the API lifecycle. It provides capabilities for governance, versioning and full control over visibility across consumers, whether internal or external.

API testing

API testing is fundamental for creating trust in the API program. As enterprises add more micro-services and third-party APIs, it is essential to make sure the APIs are reliable. Implement performance evaluations early in the development process by integrating testing across the API lifecycle with a comprehensive set of testing capabilities from IBM API Connect®. Testing needs vary across the DevOps pipeline so IBM API Connect offers robust testing capabilities that leverage AI and automation to test APIs without having to manually write test cases.

Developer Portal

Share your APIs with app developers in a consumer-focused portal that enables easy onboarding, API discovery and more. With the Developer Portal from IBM API Connect, you can have an integrated web-based platform where application developers and API consumers can discover, explore, socialize and subscribe to your APIs.

Developer toolkit

The native developer toolkit from IBM API Connect® is a simpler way to create, optimize and publish your APIs: it provides a GUI and a command-line interface (CLI) with an optional local test environment, so you can iteratively develop, debug, test and then publish APIs to IBM API Connect. Use this comprehensive set of developer tools to create or import API definitions in REST, SOAP and GraphQL; secure them with OAuth Provider; and test them locally to help ensure they are defined and implemented correctly before they are published.

GraphQL API development

One of the fastest growing API formats in recent years is GraphQL. With GraphQL, companies can iterate faster on their APIs and application development by developing a unified GraphQL API layer for all their data. IBM API Connect® makes it easy to build and deploy a production-level GraphQL API in minutes. Simply provide the connection details of your data source and a secure and optimized GraphQL API will be generated instantly. You can also combine (or federate) data from multiple sources, such as SQL, NoSQL, REST, SOAP and other GraphQL APIs. GraphQL APIs built in API Connect are secure and high performing by nature, since they run in an in-memory, Golang-based GraphQL engine.