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FabricObservability

Review analytics

Analytics summarizes traffic through the gateway over a time window. This topic shows you how to use the Overview, LLM, and MCP tabs.

Prerequisites

Before you begin, make sure you have the following:

  • A route that has received requests.
  • Access to the organization that owns the route.

View overview analytics

To view overall traffic, do the following:

  1. In the sidebar, click Admin, and then click Analytics.
  2. Select the Overview tab.
  3. Select a time window: 1H, 24H, 7D, or 30D.
  4. Optionally, filter by protocol with All protocols, HTTP, MCP, or LLM at the top right of the page.
  5. Optionally, select + Namespace to limit the data to one or more namespaces.
  6. To reload the data, select the refresh icon.

The tab shows the following:

SectionWhat it shows
Summary tilesTotal requests, error rate, P95 latency, and active consumers for the selected window.
TrafficA chart of requests per minute, stacked by protocol.
ErrorsA chart of client (4xx) and server (5xx) errors over time.
P95 latencyA chart of the 95th percentile request duration.
Top routes and top consumersTables that rank routes and consumers by traffic.

View LLM traffic analytics

To view LLM analytics, do the following:

  1. In the sidebar, click Admin, and then click Analytics.
  2. Select the LLM tab.
  3. Select a time window.

The LLM tab shows the following:

SectionWhat it shows
Summary cardsTotal requests, total tokens, estimated cost, and error rate for the selected window.
Cost over timeA chart of estimated spend, broken out by model.
Top modelsA table of models ranked by estimated spend.
Top consumersA table of consumer identities ranked by estimated spend, with requests and tokens per consumer.

View MCP traffic analytics

To view MCP analytics, do the following:

  1. In the sidebar, click Admin, and then click Analytics.
  2. Select the MCP tab.
  3. Select a time window.

The MCP tab shows the following:

SectionWhat it shows
Summary cardsTotal tool calls, error rate, P95 latency, and active consumer count for the selected window.
ActivityA requests-per-minute chart broken out by tools, resources, and prompts.
Top toolsA table of MCP tools (for example, search, integrate, or execute_nrql_query) ranked by requests, with error rate and P95 latency per tool.
Top consumersA table of authenticated identities ranked by request volume, with error rate and P95 latency per consumer.

Next steps