io.github.davisvillelabs/ai-agent-analytics · v1.0.0 · agents-and-memory
AI Agent Analytics is healthy: it completed an MCP handshake in 2978 ms and exposes 3 tools.
Seller-side analytics for AI-agent discovery, settled revenue, delivery, and repeat use.
Endpoint: https://analytics.davisvillelabs.com/mcp (streamable-http)
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| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 3 |
| Latency | 2978 ms |
| Last checked (UTC) | 2026-10-15T03:30:41.020Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-15T03:30:41.020Z | Healthy | 2978 |
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 |