Compare Gravitee vs. Tokonomics

Gravitee is an enterprise platform for managing AI agents, APIs, event streams, and model interactions through a centralized security and governance layer. Its AI Gateway provides three primary entry points through an LLM Proxy, MCP Proxy, and A2A Proxy for governing model access, agent tools, and agent-to-agent communication. The platform can assign and verify agent identities, enforce least-privilege policies, and control which tools, services, and MCP servers individual agents are permitted to use. Security controls include authentication, authorization, PII filtering, API key protection, rate limiting, spending limits, and complete audit trails for AI activity. Gravitee also tracks LLM usage and costs so organizations can understand token consumption, control unplanned spending, and attribute AI usage across users and agents. Its observability features help teams monitor agent behavior, dependencies, traffic flows, and potentially risky or ungoverned interactions. The platform extends these capabilities to conventional APIs and event infrastructure, including REST, GraphQL, gRPC, Kafka, and other enterprise integration technologies. Organizations can also productize internal APIs, MCP tools, workflows, and event streams so they can be securely reused by developers, partners, and AI agents. Gravitee is intended for enterprises, platform teams, security organizations, and AI engineering groups that need a common management layer for agent security, API governance, observability, and AI infrastructure.

Tokonomics serves as an intermediary cost measurement tool that connects your application to various LLM providers. By simply altering a URL, you can access real-time expense monitoring, receive budget notifications, and enforce strict spending limits across platforms like OpenAI, Anthropic, DeepSeek, Google Gemini, Mistral, Groq, and others. To implement, just swap your LLM base URL with Tokonomics while retaining your current code. Each API interaction is meticulously documented, capturing token usage, cost in precise 8-decimal USD, response time, and personalized tags for attributing costs to specific teams or features. Highlighted features include: - Notifications for budget thresholds through email, Slack, or Teams - Enforced spending limits that prevent further requests once the monthly budget is reached - An analytics dashboard that provides insights on spending by model, daily patterns, and opportunities for cost reduction - Support for BYOK (Bring Your Own Keys) with robust AES-256 encryption - Rate limiting for each API key to manage usage - Compatibility with a wide array of programming languages and HTTP clients, such as PHP, Python, Node.js, Go, and Ruby, ensuring versatility for developers. Additionally, Tokonomics empowers teams to take control of their spending while enhancing their capability to manage diverse LLM integrations efficiently.