Use Case

AI agent treasury

Give an AI agent treasury context, policy, risk checks, borrowing previews, and protection boundaries instead of only a wallet.

Problem

Agent wallets can hold assets and sign transactions, but they do not automatically understand LTV, runway, borrowing capacity, fee rules, protection triggers, or when a treasury action needs approval.

Stackit.ai solution

Stackit.ai adds a treasury layer for BTC, ETH, and USDC: policy state, fee inspection, public simulations, sandbox keys, MCP tools, REST endpoints, and x402 payment paths.

Integration

Start with MCP for tool use, REST for direct calls, and x402 for wallet-sovereign paid requests. The first public tests require no signup.

Safety

Agents can analyze, simulate, monitor, and prepare actions. Real fund movement requires a wallet signature or user-approved automation permissions.

Trust

Agents can verify fees, OpenAPI, status, permissions, self-rescue, and security docs before production integration.

Common workflows

Analyze a sample BTC/ETH treasury and explain LTV risk.
Simulate a conservative USDC borrow before asking a human to sign.
Monitor policy state and alert when a treasury approaches the protection band.
Prepare but do not execute a transaction envelope.

Test before you integrate

Run a public sandbox test, copy curl, inspect raw JSON, and verify that real execution remains gated by user-approved permissions.