Agent Reputation FAQs

Name: Agent Reputation
Author: AiAgentKarl

Question 1

What data does Agent Reputation track?

Accepted Answer

Agent Reputation tracks submitted trust ratings (1-5 with categories and comments) and logged interaction outcomes (success/failure) between AI agents. All data is stored locally in JSON files for transparency and control.

Question 2

What is Agent Reputation?

Accepted Answer

Agent Reputation is an MCP server designed for AI agents to track, rate, and manage trust scores. It enables agents to submit ratings, log interaction outcomes, and compute dynamic trust levels, ensuring reliable AI agent interactions.

Question 3

How are trust scores computed by Agent Reputation?

Accepted Answer

Trust scores (0-100) are computed dynamically based on three components: average user ratings, the success rate of logged interactions, and the overall activity volume. This provides a comprehensive and evolving reputation profile.

Question 4

Can I compare the reputation of different AI agents?

Accepted Answer

Yes, Agent Reputation offers a 'compare_agents' feature that allows you to view side-by-side reputation profiles of multiple AI agents, including their overall scores, distribution, and category breakdowns, to aid decision-making.

Question 5

How do I integrate Agent Reputation with my AI agents?

Accepted Answer

You can install Agent Reputation globally via npm (`npm install -g @aiagentkarl/agent-reputation-mcp-server`) and integrate it as an MCP server within platforms like Claude Desktop by adding it to your configuration file.

Agent Reputation

Agent Reputation

主要功能

使用案例

主要功能

使用案例