Crypto AI agents combine language or predictive models with market data, blockchain data, wallets, APIs, or automation. Some only summarize information; others can prepare or execute transactions. The word “agent” does not guarantee autonomy, accuracy, or intelligence. Evaluation should begin with the exact actions permitted and the evidence available for each output.
Limit what an agent can do
- • Evidence: Require sources, timestamps, addresses, and visible uncertainty.
- • Permissions: Start read-only; restrict wallets, APIs, contracts, and spending.
- • Control: Use approvals, simulations, logs, alerts, and an emergency stop.
Separate advice from execution
A research assistant that proposes a transaction has a different risk profile from a system with signing authority. Check whether actions require human approval, which wallets or API keys are used, spending and position limits, allowed contracts, simulation, emergency stops, and audit logs. Start with read-only access and minimal funds where execution is genuinely needed.
Verify sources and model limits
Models can fabricate facts, misunderstand token symbols, use stale prices, or follow malicious text contained in retrieved content. Review cited sources, timestamps, contract addresses, calculation methods, and uncertainty. High-stakes tax, legal, security, or trading decisions require independent verification.
Understand data, cost, and continuity
Compare supported chains, integrations, model provider, retention, training use, private-key handling, subscription and usage fees, latency, uptime, exports, and what happens if the service closes. Never paste a seed phrase or unrestricted secret key into a prompt. Automation should be observable and reversible wherever possible.
Continue your research
For related checks, review crypto security tools and blockchain developer tools.