AI Agent Execution — Xhavic Docs

Xhavic provides first-class protocol support for autonomous AI agents operating on-chain. Unlike other L2s that treat AI integration as an application-layer concern, Xhavic builds agent support directly into the execution environment.

Why AI Agents Need a Different Chain

Standard EVM chains create friction for AI agents:

Non-deterministic ordering — MEV and gas auctions make multi-step strategies unpredictable
External oracle dependencies — Agents need real-time data but must rely on third-party oracle networks
Unpredictable costs — Gas price volatility makes budgeting impossible for autonomous systems
High latency — 12-second block times on Ethereum are too slow for real-time decision loops

Xhavic solves each of these at the protocol level.

Agent-Friendly Features

Deterministic Execution Ordering

The sequencer’s threshold encryption and time-weighted ordering ensure that multi-step agent strategies execute in the intended order without front-running or sandwich attacks.

Native Oracle Access

AI agents read price feeds and data directly from EVM precompiles at addresses 0x00...F0 through 0x00...FF. No external contract calls, no bridge latency, no third-party dependencies.

// Direct precompile call — no oracle middleware needed
(bool success, bytes memory data) = address(0xF0).staticcall(
    abi.encode("ETH/USD")
);
uint256 price = abi.decode(data, (uint256));

Gas-Metered Compute

Fixed, low gas costs allow agents to budget their operations precisely:

Operation	Gas Cost	USD Cost
Oracle price read	50 gas	< $0.001
Token swap	~150,000 gas	~$0.12
Multi-step strategy (5 ops)	~500,000 gas	~$0.40

Sub-200ms Latency

With 2-second block times and sub-200ms soft finality, agents can operate in real-time decision loops — reading data, computing strategies, and executing transactions within a single cycle.

Dual Wallet for Agents

AI agents can leverage both wallet types:

Instant Wallet — For time-sensitive DeFi operations (swaps, arbitrage, liquidations)
Secured Wallet — For high-value operations where human oversight is beneficial. The 24-hour escrow window allows a human operator to review and cancel agent actions if needed.

Agent Architecture Pattern

A typical on-chain AI agent on Xhavic follows this pattern:

┌─────────────────────────────────┐
│         Off-Chain Agent          │
│  (ML model / decision engine)   │
└─────────────┬───────────────────┘
              │ Signed transactions
              ▼
┌─────────────────────────────────┐
│      Xhavic Sequencer           │
│  Deterministic ordering          │
└─────────────┬───────────────────┘
              │
              ▼
┌─────────────────────────────────┐
│      On-Chain Execution          │
│  Oracle reads + state updates    │
└─────────────────────────────────┘

Off-chain component — Runs the AI model, reads on-chain state, computes actions
Transaction submission — Sends signed transactions to the sequencer
On-chain execution — Smart contracts execute the agent’s strategy with native oracle data

Floating-Point Precompiles

Xhavic includes custom precompiles for floating-point arithmetic, essential for ML inference and financial calculations:

Precompile	Operation	Gas Cost
`0x00...E0`	fp64_multiply	30 gas
`0x00...E1`	fp64_divide	35 gas
`0x00...E2`	fp64_sqrt	40 gas
`0x00...E3`	fp64_exp	50 gas

These precompiles are audited independently as part of the core protocol audit.

Oracle Overview → — Native oracle architecture
Oracle Precompiles → — Precompile address map and usage
Dual Wallet System → — Wallet types for agent operations