The Dashboard gives you an at-a-glance view of your AI assistant's activity and performance. Four metric cards summarize request volume, response speed, answer quality, and user engagement. Below them, interactive charts break down usage by time, channel, confidence level, and response time — and when programmable traffic is present, additional charts surface interface mix, block rate, caller type, and the credentials driving the most requests.

The Dashboard combines interactive KPIs with usage charts and programmable access analytics.

Metrics Cards

Four cards at the top of the page show your tenant's key performance indicators for the selected filter range.

Metric cards update automatically whenever you change the date range or interface filter.

When a service credential produced at least one request in the selected range, the fourth metric card changes its label from Active Users to Active Users / Credentials and displays a compound value such as 1,284 / 7. The first number is the count of distinct user IDs across every audit record in the range — credential-issued requests carry a user identity too, so this is not a count of interactive humans only. The second number is the count of distinct service credentials that produced at least one request.

Core Charts

Requests Over Time

A line chart showing daily request volume across the selected range. Use it to identify usage patterns, spot traffic spikes, and track adoption trends.

• X-axis — date in MM/DD format
• Y-axis — number of requests
• Days with no requests render as zero rather than gaps
• A toggle in the top-right of every chart switches the view between the visual chart and an accessible data table

Requests by Channel

A bar chart breaking down request volume by messaging channel. Each channel gets a unique color and appears in the legend above the chart. Use this to understand which channels your users prefer — for example, whether Teams traffic is eclipsing Web Chat.

Confidence Level Trends

A donut chart showing the distribution of AI confidence scores across three bands:

The center of the donut displays the total number of scored responses.

Response Time Distribution

A donut chart categorizing response times. It normally shows three buckets:

Each bucket shows the count and percentage of total responses. Those three strings are the exact labels the UI renders — the legend, the tooltip and the accessible table all print them verbatim — and the table's columns are Range, Count and Percentage. A fourth bucket, other, appears if any response falls outside the measured range.

Programmable Access Analytics

When at least one request in the selected range came from a service credential — an API, CLI, or MCP integration — an additional row of three charts appears below the core charts. This row is hidden whenever no programmable traffic is present, so tenants that only use Teams or Web Chat continue to see the classic dashboard without visual clutter.

The Programmable Access row appears whenever programmable traffic is detected in the selected range.

Each of these three cards has the same chart/table toggle as the core charts. Use the table view when you need exact values — the charts are sized for a quick read, and their x-axis tick labels can be cut off at the bottom of the card.

Requests by Interface

A bar chart splitting traffic into two buckets:

• programmable — requests that entered through a service credential (API, CLI, MCP)
• traditional — requests that entered through a human-facing channel (Teams, Web Chat, WhatsApp, Mobile App, SMS, Phone, Email)

Use this chart to see how much of your volume is driven by automations versus interactive users.

Block Rate by Interface

A bar chart showing the percentage of requests that were blocked by a guardrail. Despite its title, the breakdown is by channel, not by interface: the backend groups on channel.type and applies no programmable/traditional bucketing, so the chart draws one bar per channel type present in the range — traditional channels such as Teams and Web Chat appear alongside API, CLI and MCP.

In the table view, the rows are channels — the "Interface" column header notwithstanding.

The table view also reports the Total requests and the count of Blocked requests per channel, so you can contextualize the percentage against traffic volume. A sustained high block rate on a programmable channel typically indicates that an integration is sending malformed input or hitting a content-safety rule — review the blocked requests in Conversation Logs to confirm.

Requests by Caller Type

A bar chart grouping traffic by the caller type declared on the service credential that issued the request. Caller type is a property of the credential, so only programmable requests (API, CLI, MCP) carry one:

This chart lets you see at a glance whether your agentic traffic is growing relative to human-operated and application traffic.

Top Credentials

Below the Programmable Access row, a Top Credentials table lists the service credentials with the highest request volume in the selected range. The table is hidden when no credential usage exists.

The Top Credentials table is sorted by request volume and color-codes block rate for quick triage.

The Block Rate column uses a color dot next to the percentage:

• Green — block rate at or below 5% (healthy)
• Yellow — block rate between 5% and 20% (investigate soon)
• Red — block rate above 20% (urgent — the credential is producing frequent guardrail violations)

Click any row to jump to Programmable Access. The click opens that page, not the specific credential — locate the credential in the table there to open its details drawer or rotate its secret.

Filtering

Use the filter row in the sticky header to refine every metric and chart simultaneously.

The Interface filter is the quickest way to isolate programmable traffic — pick Programmable Only to hide interactive users from every chart and metric, or pick a specific channel like MCP to focus on a single integration type.

All metric cards and charts update whenever you change any filter. Filter selections are preserved in the URL as query parameters, so you can bookmark or share a filtered view.

Refreshing the Dashboard

Click the refresh icon next to the page title to re-fetch all metrics and charts without changing any filters. This is useful after a burst of traffic — for example, right after a product launch — when you want to see the latest numbers without losing your current filter state.

Field Reference

Related Pages

• Conversation Logs — drill into individual conversations and filter by caller type
• Programmable Access — manage service credentials surfaced in the Top Credentials table
• Tickets — review escalated conversations driven by low-confidence responses
• Confidence Thresholds — adjust the bands that drive Success Rate and the Confidence Level chart