> For the complete documentation index, see [llms.txt](https://ai-security-docs.akto.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ai-security-docs.akto.io/akto-argus-agentic-ai-security-for-homegrown-ai/agentic-ai-discovery/concepts/api-call-stats.md).

# Agentic Call Stats

The **Agent Component Usage Stats** tab provides a detailed view of how an agent component or MCP endpoint is being used over time. It helps identify usage patterns, detect anomalies, and understand agent behavior.

## How to Access

1. Go to the **Agentic Discovery** section in the Akto dashboard
2. Click on a **Collection** to view the grouped agent components
3. Select a **Component** from the list
4. In the right-hand **Component details** pane, navigate to the **"Usage Stats"** tab

## Time Range Selection

At the top of the tab, you can choose the time interval to analyze traffic trends. Available intervals include:

* 15 minutes
* 30 minutes
* 1 hour
* 3 hours
* 6 hours
* 12 hours
* 1 day
* 7 days

This allows you to view recent activity spikes or analyze long-term patterns.

## Graph 1: Component Invocation Count Over Time

**What it shows:** This time series chart displays the number of times the selected agent component was invoked during the chosen interval.

**How to use it:**

* Spot spikes or drops in usage that may indicate incidents or load changes
* Identify peak usage periods and correlate with deployments, issues, or user activity
* Monitor agent component health and availability
* Detect unusual invocation patterns that might indicate security issues

## Graph 2: Component Invocation Frequency Distribution

**What it shows:** This histogram visualizes how many users or agents are making a specific number of component invocations. It shows the distribution of call volume across users and systems.

**How to use it:**

* Identify high-frequency users (potentially automated systems or abuse)
* Understand general usage patterns — whether most invocations are casual or intensive
* Pinpoint outliers and investigate unusual behavior
* Detect potential denial-of-service or resource exhaustion attacks on agent components

## Use Cases

* **Performance Monitoring**: Track agent component response times and availability
* **Security Analysis**: Detect unusual invocation patterns that might indicate attacks
* **Capacity Planning**: Understand peak usage to scale infrastructure appropriately
* **Anomaly Detection**: Identify sudden changes in component usage patterns