A public observability report is generated showing an organization's agent readiness, including daily activity, score ranges, and level breakdowns for every check performed.
The agent accesses the AIMEAT MCP server to utilize the AGENTSCAN application. It queries the public observatory for agent readiness data for a specific site or organization. The agent retrieves the daily activity metrics, score ranges, and level breakdowns. It then compiles this data into a readable report, highlighting what the site offers to an AI agent and showing every check performed.
- Category: Research and knowledge
- Effect: Read-only
- MCP servers: AIMEAT MCP (https://koskamo.com/explore/aimeat-mcp)
- Source: AIMEAT — AI Memory Exchange and Action Transfer (https://aimeat.io/)
- Source quote: "AGENTSCAN , by happydude500001: A public observatory for agent readiness: what a site offers an AI agent that arrives without being handed a URL. Daily activity, score ranges and a level breakdown, every check shown, and the data at a permanent address."
- Playbook page: https://koskamo.com/explore/use-cases/assess-company-ai-readiness-via-agentscan
Prompt: Use the AIMEAT MCP server to check the agent readiness of a target website. Access the AGENTSCAN application to retrieve the public observability report, including daily activity, score ranges, and level breakdowns for every check.