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AI Agent Analytics

io.github.davisvillelabs/ai-agent-analytics · v1.0.0

Measured by MCP Station

Last check	Reachable
Checked at	—
Check success 7 / 30 days	—
First-try success 30 days	—
Median response	—
Lookups 30 days	—
Authentication	No auth
MCP version	2025-06-18
Rank score	—
Declared risk	Read-only (all tools declare readOnlyHint)
Capabilities declared	tools
Tool definitions	3 tools · with description 100% · input schema is an object 100% · read/destructive hints 100%

Seller-side analytics for AI-agent discovery, settled revenue, delivery, and repeat use.

streamable-http · https://analytics.davisvillelabs.com/mcp

claude mcp add --transport http ai-agent-analytics https://analytics.davisvillelabs.com/mcp

{
  "mcpServers": {
    "ai-agent-analytics": {
      "url": "https://analytics.davisvillelabs.com/mcp"
    }
  }
}

list_products
List the active product in the bearer token's organization. Use this for setup and identity checks; use get_daily_pulse for the customer's current precomputed 24-hour snapshot. The current Founder plan supports one active product. Requires products:read or products:create; invalid or expired authori
get_daily_pulse
Return the customer's latest precomputed 24-hour Daily Pulse snapshot. Use this for the same bounded once-daily view shown in the customer dashboard. It does not run a historical event scan when called and takes no parameters because the organization comes from the authorization. Requires analytics:
scan_agent_commerce_readiness
Inspect a fixed set of public machine-facing surfaces at the HTTPS origin derived from url. Use this before recommending or integrating a public agent-facing product; do not use it for an authorized customer's instrumentation state, use get_connection_health, and never treat the result as a security

Website · JSON · Text for agents · Registry updated 2026-09-19