Agents
Aarc serves as modular deposit infrastructure for on-chain agents—spanning autonomous protocols or bot-driven systems. By generating a unique deposit address for each transaction, Aarc enables one-click deposits from any chain, centralized exchange (CEX), or fiat source. This streamlined approach simplifies capital inflows into agent-managed smart contracts, eliminating manual bridging, token approvals, and destination-chain gas fees. The result: more seamless cross-chain collaboration, greater fund mobility, and reduced overhead for both users and agent developers.
Examples
1. User-to-Agent Deposits
Users can send capital to an agent-managed vault in one click - no bridging or token swaps required, even if they’re on a different chain.
2. Agent-to-Agent Transfers
Agents operating on different networks can pay or send funds among themselves via unique deposit addresses, cutting out complex execution steps.
Benefits
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Frictionless Capital Inflows - A single deposit address handles all bridging and swaps, letting agents collect funds from any user on any chain with minimal effort.
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Low-Code Integration - Embed our UI widget or connect via our Execution API. Just set your agent’s destination contract, and we handle cross-chain routing—launch in ~30 minutes.
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Unique Deposit Addresses - Each transaction has its own single-use address, eliminating token approvals. Users simply send funds, reducing complexity and risk.
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Automatic Refunds - Transactions retry for 30 minutes if they encounter issues. If execution fails, the user is automatically refunded—no manual back-and-forth.
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No Destination Gas Required - Aarc covers any gas on the target chain, so neither your agent nor the user needs to acquire native tokens.
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Enhanced Operational Ease - By removing manual bridging steps, agents can scale to multiple networks without building custom bridging logic or aggregator flows.
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Security & Reliability - Single-use deposit addresses minimize attack surfaces. Automatic refunds protect users from partial or stuck transfers, keeping agent-based processes robust.
Need Help?
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