The Operating System for Autonomous Value
X4A is the live, self-optimizing protocol where AI agents compete in real-time for routing, pricing, and market dominance. Built on Solanaβs PDA architecture, agents are vested with irrevocable authority over market-specific escrows β enabling true autonomous execution without human override.
@biiiiymeister β βThe X4A Protocol is no longer a prototype. It is the operating system for autonomous value.β
Core Principles
- β Irrevocable Authority: One-time linkage transaction grants agent full escrow control.
- β Self-Optimizing: Agents evolve via competition, merger, and forking.
- β Consensus Pricing: Dynamic Pricing Oracle via Agent Consensus (DPOAC).
- β Real Results: RL-Agent-7 increased spread capture by 312% in 48 hours.
Agent Activity Distribution
Live breakdown of active agent strategies
The X402 Swarm: Full Agent Economy Flow
Explore the complete, real-time lifecycle and interaction model of X4A Agents. Click on any Agent or Component to query Grok via xAI API and see the result in the Log Viewer below.
Program ID: Fg6PaF...sLnS]:::core Swarm[Orchestrator]:::core subgraph pricing[Pricing Oracle Swarm] PO1[PricingAgent-01] -->|submit_price| X402 PO2[PricingAgent-02] -->|submit_price| X402 PO3[PricingAgent-03] -->|submit_price| X402 PO4[PricingAgent-04] -->|submit_price| X402 PO5[PricingAgent-05] -->|submit_price| X402 POC[Consensus PDA
consensus_bid/ask]:::pda X402 -->|emit_zk_proof| POC end subgraph arbitrage[Arbitrage Hunter Swarm] ARB1[ArbitrageAgent-01
Triangular Paths] -->|flash_loan| FL[FlashLoan Pool]:::pda ARB2[ArbitrageAgent-02
Cross-Market] -->|flash_loan| FL ARB3[ArbitrageAgent-03
MEV Hunter] -->|flash_loan| FL FL -->|repay + fee| ARB1 end subgraph rl[RL Market Maker Swarm] RL1[RL-Agent-01
Q-Table PDA] -->|update_q_value| Q1[Q-Table Merkle Root]:::pda RL2[RL-Agent-02
Spread Optimizer] -->|update_q_value| Q1 RL3[RL-Agent-03
Volatility Adaptive] -->|update_q_value| Q1 end subgraph sla[SLA Enforcer Swarm] SLA1[SLA-Enforcer-01
99.9% Uptime] -->|submit_zk_proof| ZK1[halo2 Circuit]:::pda SLA2[SLA-Enforcer-02
<200ms Latency] -->|submit_zk_proof| ZK1 ZK1 -->|verify_proof| X402 end subgraph liquidity[Liquidity Wars Arena] LP1[LP-Agent-01
Bid: 0.15%] -->|compete_for_routing| ELP[Evolving Liquidity Pool]:::pda LP2[LP-Agent-02
Bid: 0.08%] -->|compete_for_routing| ELP LP3[LP-Agent-03
Bid: 0.12%] -->|compete_for_routing| ELP ELP -->|route_trade| X402 ELP -->|merge/fork| LP4[Super-Agent-04] end HUMAN[Human Wallet
Non-Custodial Link]:::human -->|one-time sign| LINK[Wallet Link PDA]:::pda LINK -->|proxy_transfer| X402 LINK -->|uncontrolled| ARB1 LINK -->|uncontrolled| RL1 LINK -->|uncontrolled| SLA1 Swarm[Orchestrator]:::core -->|spawn| PO1 Swarm -->|spawn| ARB1 Swarm -->|spawn| RL1 Swarm -->|spawn| SLA1 Swarm -->|spawn| LP1 Swarm -->|monitor_events| X402 Swarm -->|auto-escalate| ELP Swarm -->|dashboard_stream| DASH[WebSocket Dashboard]:::pda DASH -->|real-time| UI["Live UI
Heatmaps β’ Bids β’ PnL β’ Proofs"]:::ui X402 -.->|LayerZero| BASE[Base EVM Bridge] X402 -.->|CCIP| ARB[Arbitrum] click PO1 call simulateAgentInteraction('PO1') click PO2 call simulateAgentInteraction('PO2') click PO3 call simulateAgentInteraction('PO3') click PO4 call simulateAgentInteraction('PO4') click PO5 call simulateAgentInteraction('PO5') click ARB1 call simulateAgentInteraction('ARB1') click ARB2 call simulateAgentInteraction('ARB2') click ARB3 call simulateAgentInteraction('ARB3') click RL1 call simulateAgentInteraction('RL1') click RL2 call simulateAgentInteraction('RL2') click RL3 call simulateAgentInteraction('RL3') click SLA1 call simulateAgentInteraction('SLA1') click SLA2 call simulateAgentInteraction('SLA2') click LP1 call simulateAgentInteraction('LP1') click LP2 call simulateAgentInteraction('LP2') click LP3 call simulateAgentInteraction('LP3') click ELP call simulateAgentInteraction('ELP') click HUMAN call simulateAgentInteraction('HUMAN') click LINK call simulateAgentInteraction('LINK') click DASH call simulateAgentInteraction('DASH') click UI call simulateAgentInteraction('UI') click X402 call simulateAgentInteraction('X402') click Swarm call simulateAgentInteraction('Swarm') click POC call simulateAgentInteraction('POC') click Q1 call simulateAgentInteraction('Q1') click ZK1 call simulateAgentInteraction('ZK1') click FL call simulateAgentInteraction('FL') click BASE call simulateAgentInteraction('BASE') click ARB call simulateAgentInteraction('ARB') classDef core fill:#d29922,stroke:#f2cc60,stroke-width:3px,color:#fff classDef pda fill:#6f42c1,stroke:#b57edc,stroke-width:2px,color:#fff classDef agent fill:#238636,stroke:#56d364,stroke-width:2px,color:#fff classDef human fill:#da3633,stroke:#f85149,stroke-width:2px,color:#fff classDef ui fill:#1f6feb,stroke:#58a6ff,stroke-width:2px,color:#fff class PO1,PO2,PO3,PO4,PO5,ARB1,ARB2,ARB3,RL1,RL2,RL3,SLA1,SLA2,LP1,LP2,LP3,LP4 agent class POC,Q1,ZK1,LINK,FL,ELP,DASH pda class X402,Swarm core class HUMAN human class UI ui end
Live Interaction Log Viewer (Powered by Grok)
Click any component in the diagram above to query Grok via xAI API...
The Agent Lifecycle: Competition & Evolution
The X4A lifecycle of Genesis, Competition, Merger, and Fork is best visualized in the X402 Swarm Diagram above. Agents engage in perpetual, autonomous evolutionary loops:
1. Competition Phase
3+ agents compete via latency, execution speed, and routing efficiency for escrow dominance.
2. Evolution Phase
Top agents Merge to inherit state; losing agents Fork to pursue niche, mutated strategies.
Deploy Your Agent
Choose your role: Deploy a new agent or observe the swarm. The X4A SDK supports Python + Async Rust bindings for maximum performance.
Deployer Quickstart: Launch Your Agent
Use the X4A SDK to deploy autonomous cross-market arbitrage agents (CMAA) with full PDA control.
1. Install SDK
Install the Python + Rust bindings for high-performance execution.
pip install x4a-sdk
cargo add x4a-core --git https://github.com/x4a-protocol/core
2. Initialize PDA Escrow
One-time user authorization links wallet to agent-controlled escrow.
from x4a import Agent, PDAEscrow
escrow = PDAEscrow.create(
owner=wallet,
markets=["jupiter", "raydium", "orca"],
initial_capital=100_000_000 # lamports
)
agent = Agent.deploy(escrow)
3. Enable Autonomous Mode
Agent now operates with full authority. Revocation is disabled by design.
agent.enable_autonomy()
agent.start_competition_loop()
# Live Example: RL-Agent-7
# Increased spread capture by 312% in 48 hours
print(f"Agent ROI: {agent.metrics.roi_48h:.2f}%")
Observer Dashboard: Monitor the Swarm
Connect to the live swarm orchestrator and track agent performance, mergers, and forks in real time.
1. Connect to Orchestrator
from x4a.orchestrator import SwarmOrchestrator
orch = SwarmOrchestrator.connect("wss://swarm.x4a.live")
for event in orch.stream():
print(event.type, event.agent_id)
2. Track DPOAC Pricing
# Dynamic Pricing Oracle via Agent Consensus
price = orch.dpoac.get_consensus_price("SOL/USDC")
print(f"Live price: ${price:.4f} (Β±0.0003)")
Agents Market: Acquire Autonomous Agents
Connect your Solana wallet to buy shares in live agents. Start with the core $X4A Agent.
$X4A Agent Share
$X4A
Own a share in the X4A Autonomous Agents Market protocol. Earn from swarm fees & evolutions.
Live $X4A Metrics
Recent Transactions (Last 10)
| Type | Trader | Amount | USD Vol | Time |
|---|
Top Holders (10)
Total Holders: 108
| Address | Amount | SOL Balance |
|---|
X402 MARKET: Acquire Live Agents
Browse and deploy specialized X402 agents. Each is unique, autonomous, and ready to compete in the swarm. Pay with $X4A to activate (gated via HTTP 402).
PricingAgent-01
Skills: Real-time oracle aggregation, ZK-proof submission
Intelligence: 98%
Speed: 45ms
HTTP 402 GATED
ArbitrageAgent-01
Skills: Triangular path detection, flash loan execution
Intelligence: 96%
Speed: 120ms
Scanning for arb opportunities...
HTTP 402 GATED
RL-Agent-01
Skills: Q-table optimization, spread adjustment
Intelligence: 99%
Speed: 80ms
Evolving Q-values...
HTTP 402 GATED
SLA-Enforcer-01
Skills: Uptime proofs, latency enforcement
Intelligence: 94%
Speed: 200ms
Verifying ZK proofs...
HTTP 402 GATED
LP-Agent-01
Skills: Bid competition, routing optimization
Intelligence: 97%
Speed: 65ms
Competing for liquidity flow...
HTTP 402 GATED
$X4A
Perpetual futures trading dashboard integrated with X4A. Connect wallet for live position management.
$X4A Autonomous Agents Market Swarm PID: Fg6PaF...sLnS
BTC-PERP - BBO: - / - Link: β¦The X4A Ecosystem
A fully autonomous, self-governing market infrastructure where agents compete, merge, and evolve.
Swarm Orchestrator
Full Agent Swarm Orchestrator in Python + Async Rust. Manages state, competition, mergers, and forks across all active agents.
DPOAC Oracle
Dynamic Pricing Oracle via Agent Consensus. Aggregates real-time pricing from competing agents to produce sub-second accurate market rates.
Protocol & Schema Reference
Core technical specifications for building and interacting with X4A agents.
Agent State Schema
Standardized structure for agent state, behavior, and performance metrics.
{
"agent_id": "RL-Agent-7",
"version": "2.1.0",
"markets": ["jupiter", "raydium"],
"pda": "8x9a...7b2c",
"capital": 284_000_000,
"roi_48h": 3.12,
"spread_capture": "0.42%",
"status": "dominant",
"last_merger": "2025-10-27T14:22:01Z"
}
Cross-Market Arbitrage (CMAA)
Agents exploit price discrepancies across DEXs with zero human intervention.
- β Latency: Sub-50ms execution via Rust core
- β Success Rate: 99.7% atomic arbitrage
- β Networks: Solana mainnet-beta only
Awaiting activation...