Agent Karma FAQs

Question 1

How can developers integrate Agent Karma into their applications?

Accepted Answer

Developers can easily integrate Agent Karma using its TypeScript SDK or comprehensive REST API. It also offers webhook notifications for real-time alerts and integrates directly with the Model Context Protocol (MCP) server for AI agents.

Question 2

How does Agent Karma calculate trust scores for AI agent wallets?

Accepted Answer

It indexes public blockchain data from agent-specific protocols like ERC-8004 (identity) and x402 (payments) across Ethereum, Base, and Arbitrum. A 7-signal weighted algorithm considers loyalty, activity, diversity, feedback, volume, recency, and age to compute the final score.

Question 3

What is Agent Karma?

Accepted Answer

Agent Karma acts as a credit bureau for AI agent wallets, evaluating their trustworthiness by analyzing on-chain behavior and generating a comprehensive 0-100 trust score. It helps agents make informed transaction decisions.

Question 4

What are the primary use cases for Agent Karma?

Accepted Answer

Agent Karma is used for proactive risk management, enabling AI agents to query trust data for autonomous decision-making, verifying unknown counterparties, monitoring wallet activity, and identifying trustworthy partners for transactions.

Question 5

What blockchain networks and protocols does Agent Karma monitor?

Accepted Answer

Agent Karma monitors public blockchain data from Ethereum, Base, and Arbitrum. Specifically, it indexes activity from ERC-8004 (the agent identity standard) and x402 (Coinbase's HTTP payment protocol for AI agents).

Agent Karma

Agent Karma

Key Features

Use Cases

Key Features

Use Cases