analytics_dashboardGet a fleet-wide analytics dashboard for all AI agents. Returns total events, unique agents, success rate, token usage, cost estimates, per-agent brea
agent_insightsGet deep insights for a specific AI agent — top queries, unhandled intents, latency stats (avg + P95), token usage, cost estimate, daily volume, and u
list_agentsList all registered AI agents with their total events, success rate, and last seen timestamp.
detect_anomaliesCheck for anomalies across the agent fleet — error rate spikes, latency degradation, and unusual patterns compared to baseline.
query_eventsQuery stored agent events with optional filters. Returns raw event data for analysis.
track_eventIngest a new agent interaction event. Use this to track queries, completions, errors, and feedback for any AI agent.
compare_agentsCompare two agents side by side on key metrics: event volume, success rate, latency, token usage, and cost.
We re-grade npm:mcp-server-agent-analytics on a schedule and alert your Slack/webhook the moment its tools change or its grade drops — rug-pull insurance for the connection.
Add the wmcp.sh trust oracle as an MCP server and call grade_mcp_server / check_mcp_drift in your agent's pre-connection gate:
https://wmcp.sh/mcp/trust
readOnly vs observed behavior) layer on via the wmcp.sh proxy.