See how easily Konnect Metering & Billing transforms API and AI traffic management into new revenue streams.
We've talked about why 2026 is the year of AI unit economics. There, we explored the "2025 hangover" where organizations realized that without financial governance, AI isn't just a science project but has become a margin-bleeding cost center.
But "governance" and "monetization" shouldn't just be buzzwords in a resolution; they need to be part of your active infrastructure.
Today, we’re taking you beyond the strategy. We’ve released a new zero-to-hero demo that shows exactly how easy it is to move from simply managing traffic to realizing new revenue streams with Konnect Metering & Billing.
The walkthrough takes you through a real-world scenario using a serverless gateway to manage both traditional REST APIs (Kong Air) and AI traffic (OpenAI LLM). Here are the four key takeaways:
Flexible Product Plans & Tiers: See how to package these features into diverse offerings. The demo covers:
As we mentioned previously, Konnect Metering & Billing isn’t just a reporting tool: it’s an AI revenue supercharger. Because this sits at the runtime layer, the demo highlights how you can trigger notifications on quotas and limits at the point of access. This ensures that your AI costs don't just get reported on a surprise bill but drive action in real-time.
Don't let your AI strategy remain an "experiment." Start treating your AI and API infrastructure like the business asset it is.
The companies that win in the age of AI connectivity won't just have the best models — they'll have the best unit economics. Whether you're looking to monetize external AI & APIs or simply govern internal usage, the tools are now at your fingertips.
Ready to see your own data in action? You can get a demo today or read the full documentation to start your implementation.
Every January, the same resolutions show up: eat better, exercise more, finally learn that language, finally figure out that production use case for AI agents (OK, this one isn’t so typical unless you operate in our universe). But if you're respons
Picture this: you’ve spent months building a slick API that developers love, and it’s already humming behind the scenes in production. But every time someone calls your endpoint, what happens? You get an invisible hit across multiple cost centers, i
The AI boom has a dirty secret: for most enterprises, it's bleeding money. Every LLM call, every agent invocation, every API request that powers your AI products — they all cost something. And right now, most organizations have no idea what they're
If you've used KAi before, you'll notice the difference immediately. The enhanced version has deeper access to your Konnect environment and new tools for debugging, analytics, and configuration management: Active tracing and debugging: KAi can now
Today, we’re announcing that Kong has acquired OpenMeter , the open source and SaaS leader for real-time usage metering and billing. OpenMeter’s capabilities will be integrated into Kong Konnect, enabling usage-based pricing, entitlements, and invo
Architecture Overview A multicloud DCGW architecture typically contains three main layers. 1\. Konnect Control Plane The SaaS control plane manages configuration, plugins, and policies. All gateways connect securely to this layer. 2\. Dedicated C
The Shifting Economic Landscape: The AI token economy in 2026 is evolving, and enterprise leaders must distinguish between low-cost input tokens and high-premium output tokens to maintain profitability. Agentic AI Financial Risks: The transition t