> ## Documentation Index
> Fetch the complete documentation index at: https://docs.originhq.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Endpoint Explorer: Fleet-Wide AI Activity Overview

> Explore fleet-wide AI requests, sessions, token volume, and activity traces across all your endpoints in Origin's central observability dashboard.

The Endpoint Explorer is Origin's central observability dashboard. It gives you a fleet-wide summary of AI activity across every reporting endpoint, organized by agent and model over a time window you choose. From a single screen you can gauge overall AI usage volume, drill into individual agents, follow request traces, and spot unusual activity patterns — without leaving the console.

## Left Panel

The left panel scopes the entire view and lets you navigate between agents.

* **Date range picker** — sets the time window for all data displayed on the page. Click to select a preset window or type a custom start and end date.
* **Overview** — returns you to the fleet-wide summary from any agent-specific view.
* **Agents** — shows every AI agent detected during the selected period. The section header displays a total agent count. Each entry includes the agent name, a sparkline summarizing its activity across the selected range, and a total request count for the period.

  Use **Filter agents** to search the list by name, and use **Sort** to reorder entries — for example, by **Most active** — so the highest-volume agents surface first.

<Note>
  Agents that Origin cannot identify are grouped together under **Unknown Agent**. If you see a large Unknown Agent volume, it may indicate new tooling in your fleet that has not yet been classified.
</Note>

## Right Panel — Overview

When you select **Overview** in the left panel, the right panel shows three headline metrics for the chosen time range.

| Metric        | Description                                                           |
| ------------- | --------------------------------------------------------------------- |
| **Requests**  | Total number of AI API requests captured across all endpoints         |
| **Endpoints** | Number of distinct endpoints that reported activity during the period |
| **Sessions**  | Number of distinct user sessions observed across the fleet            |

These three numbers give you an at-a-glance pulse check on fleet-wide AI consumption before you dive into charts or traces.

## Activity Surface Chart

Below the headline metrics, the **Overview activity** chart plots fleet activity over time. Use the time-range buttons in the top-right corner of the chart to change the visible window:

| Button | Window         |
| ------ | -------------- |
| **1D** | Last 1 day     |
| **5D** | Last 5 days    |
| **1M** | Last 1 month   |
| **1Q** | Last 1 quarter |
| **1Y** | Last 1 year    |

Switch between the five tabs to view different dimensions of the same period:

| Tab                  | What it shows                                                                                                                                |
| -------------------- | -------------------------------------------------------------------------------------------------------------------------------------------- |
| **Active endpoints** | Count of endpoints making AI requests at each point in time                                                                                  |
| **Active sessions**  | Session volume over time, useful for understanding how many users are actively generating requests                                           |
| **Prompt volume**    | Number of prompts sent across all providers, giving a raw measure of AI interaction frequency                                                |
| **Token volume**     | Total tokens exchanged across the fleet; hover over any data point to see a per-model-version breakdown for that interval                    |
| **Cluster swimlane** | Fleet activity grouped by behavioral cluster, so you can see which topic areas are spiking without switching to the Activity Clustering view |

<Tip>
  Use the **Token volume** tab with the hover tooltip to identify which specific model versions are consuming the most tokens. This is especially useful when you are evaluating model consolidation or tracking spend by provider.
</Tip>

## Bottom Panel

The bottom of the Endpoint Explorer surfaces two log views that let you move from aggregate trends to individual events.

* **Trace Log** — a chronological record of individual AI requests captured by the fleet. Each entry represents a single request and shows the endpoint, agent, model, and prompt metadata, giving you the granular detail you need to investigate a specific interaction.
* **Execution Log** — a record of agent-level execution events. Use this to understand the sequence of actions an agent took during a session, beyond individual prompt-response pairs.

<Note>
  The Trace Log and Execution Log both respect the date range and agent filters set in the left panel, so what you see is always scoped to the context you have selected.
</Note>