ClawLens is building the credit score for AI agents. Today, agents can use tools and make payments, but almost every action still requires upfront capital because there is no reliable way to assess agent risk. We solve this by creating a credit score and credit file for agents based on identity, behavior, and repayment history, helping lenders and infrastructure providers decide who to trust, how much credit to extend, and at what risk. Our first use case is enabling agents to access x402 endpoints on credit and settle later.
This demo showcases ClawLens, the credit score layer for AI agents. It walks through agent onboarding, where trust and identity signals are used to generate an initial credit score, and then shows how that score unlocks ClawCash, our first PayLater service for x402.
Using an approved credit line, the agent accesses a whitelisted paid endpoint without upfront payment, receives the result instantly, and the repayment is tracked in the dashboard.
MVP is live, iterating on the roadmap and planning to onboard more lenders and agents for traction. Next goal is to onboard issue credit for ACP and agentic commerce
Not funded
