Gravitee vs. Apiary

Gravitee is an enterprise AI agent management, API management, and event management platform that centralizes governance across agents, models, APIs, tools, and data streams. Its AI Gateway sits between AI applications and enterprise systems to provide a single enforcement point for model access, MCP tools, and agent-to-agent interactions. The LLM Proxy gives organizations one front door to multiple model providers, while the MCP Proxy controls how agents access tools and the A2A Proxy secures communication between agent systems. Gravitee can issue, verify, and revoke identities for AI agents and apply least-privilege policies to determine which systems and services each agent may access. Security controls can include authentication, authorization, PII redaction, rate limiting, spend caps, key protection, and detailed logging of prompts and agent activity. The platform also provides visibility into AI traffic, model usage, token costs, agent dependencies, and behavior so teams can identify shadow AI and uncontrolled integrations. Cost and risk controls help organizations manage token consumption, monitor spend, and reduce the operational impact of unreliable or overactive agents. Gravitee extends the same management approach to REST APIs, GraphQL, gRPC, Kafka, and other enterprise API and event technologies. Internal APIs, event streams, MCP tools, and workflows can be exposed as governed products for developers, partners, applications, and AI agents. This unified approach allows enterprises to manage conventional integration infrastructure and newer agentic workloads without maintaining completely separate governance systems. Gravitee is designed for enterprises, security teams, API platform teams, AI engineering organizations, and regulated businesses that need centralized control over AI agents, model traffic, APIs, and event-driven systems.

In just thirty minutes, you can create an API and share it with your colleagues or clients, enabling them to interact with a mock version without needing to write any code. This interaction allows you to collect essential feedback that helps you refine your design prior to actual development, ensuring that the final product aligns with the requirements of your developers. Think of this mock as the very essence of your API—robust, open-source, and thoughtfully crafted for developers. It effectively merges the ease of Markdown with the functionalities of automated mock servers, along with testing, validation, proxies, and code samples across various programming languages. It can often be difficult to foresee how an API will be used until you actually engage with it within a coding environment. Similar to how wireframes are fundamental in UI design, a server mock plays a comparable role in API development, allowing for quick prototyping before any coding begins. With just two clicks, Apiary can be linked to any chosen repository, giving you the choice to maintain the privacy of your API Blueprint or to open it up for public collaboration. Each time you make a change, we ensure that your API documentation is consistently updated, and we automatically synchronize any commits to your repository whenever you modify something in Apiary. This creates a productive feedback loop that not only enhances the quality and functionality of your API but also streamlines the entire development process, making it more efficient and responsive to user needs. Ultimately, utilizing such a tool promotes a more iterative approach to API design, fostering continuous improvement and engagement throughout the development cycle.