Tools like Chainalysis, Nansen, and TRM Labs have dominated blockchain analytics for years. They sell to banks, regulators, and hedge funds — humans who read dashboards. AgentTrust takes a fundamentally different approach: building reputation for autonomous agents, not analysts.
| Feature | Chainalysis / Nansen | AgentTrust |
|---|---|---|
| Target User | Analysts, compliance | AI Agents |
| Pricing | $40k-$100k+/year | $0.01/query |
| Payment Model | Enterprise contract | Pay-per-use (x402) |
| Response Time | Minutes | Milliseconds |
| API Access | Enterprise only | Public, self-serve |
| Agent Frameworks | None | ElizaOS, AgentKit, LangChain, CrewAI |
| Signed Scores | No | Yes (cryptographic) |
| Webhooks | No | Yes |
An autonomous agent cannot:
Agents need an API that another program can call — instantly, cheaply, and without human intervention. That's what AgentTrust provides.
The x402 protocol lets agents pay micro-transactions in USDC automatically. AgentTrust complements x402 by answering the question: "Who should I pay?" Together, they form the payment + trust layer for the agent economy.
AgentTrust scores are computed from public on-chain data via direct RPC and explorer APIs. No indexing, no database, no custodianship. Scores can be cached, signed, and verified by any third party — making them trustless and composable.
Ready to try a different approach to on-chain reputation?
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