Frontegg AgentLink Part 3: Agent Analytics

AI agents are becoming the preferred way for users to consume and interact with software. But allowing AI agents into your SaaS app without the proper visibility creates a black box. Which agents are accessing what? How do you perform an agent activity audit? How do you know if your security measures are actually being used?

Frontegg AgentLink creates a hosted MCP server that contains all the guardrails and permissions you need to open up to AI agents as an entry point into your SaaS product. AgentLink is powered by three core capabilities: Agent Connector (hosted MCP server), Agent IAM (identity and access management), and Agent Analytics (a granular observability dashboard).

You’ve already learned in Part 1 about Agent Connector and in Part 2 about Agent IAM.

In Part 3, we’ll take a closer look at Agent Analytics, which allows you to monitor key aspects of agent behavior within your product.

Agent adoption

Once your product supports AI agents, adoption metrics matter. Your AgentLink Agent Analytics dashboard helps you answer:

• Which customers are using agents?
• What models are they using?
• How active are their agents over time?

You get a clear breakdown by customer, platform, and user activity. For example, you might see that Claude is being used more than ChatGPT for support tasks, or that a single customer’s Copilot integration is calling your “Refund API” thousands of times across multiple departments.

This visibility helps you plan capacity, identify monetization opportunities, and better prioritize which agent platforms to optimize for.

Tool insights

Once you expose tools to AI agents, you’ll want to understand how those tools are actually being used. Agent Analytics shows call volume and error rates, while also surfacing issues like latency or resource strain.

That kind of visibility makes it easier to spot when tools are being misused or unexpectedly overloaded. It also helps highlight the tools that have become essential in real customer workflows, so you know where to focus your attention.

Observability and auditability

AI agents can behave in unexpected ways, even when they follow the rules. That’s why Agent Analytics includes full observability and a tamper-evident audit trail.

Every agent action is recorded. This includes the agent identity, user context, prompt content, tool call history, and authorization path. If someone asks why a record changed or whether a policy was applied, you’ll have the answer.

AgentLink also supports SIEM integration, so you can forward logs into your security and compliance stack without adding another layer to maintain.

Security monitoring

Guardrails are only as effective as their usage. Agent Analytics tracks which security policies are being enforced and how often they intervene.

You can see how frequently step-up authentication is triggered, how many operations are blocked by access controls, and where human-in-the-loop approvals are slowing down or streamlining agent workflows.

This feedback loop also allows you to refine your policies, ensuring they’re serving your real-life use cases.

Opening the black box

Agent Analytics turns AI agent access from a black box into a transparent, trackable channel. With customer-level insights, tool diagnostics, real-time audits, and security visibility, you’re no longer guessing what’s happening behind the scenes.

Want to learn more about how Agent Analytics provides essential visibility in Frontegg AgentLink?

• Learn more about Agent Analytics
• Explore the full Frontegg AgentLink platform
• Explore the docs