The Battle for the Next-Generation DEX Gateway: Byreal Bets on “Agent-Native”
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The Battle for the Next-Generation DEX Gateway: Byreal Bets on “Agent-Native”
Agent-native DEX: Byreal aims to transform AI-powered trading capabilities from a privilege into an entry point.
Navigating Web3 tides with focused insightsAuthor: TechFlow
Trading KOL @Argona0x once shared on X that his Agent woke him up at 3 a.m., presented a trading opportunity and execution strategy, and after he replied “Yes,” he went back to sleep—only to wake up the next day and discover:
Funds were deployed in 11 seconds, generating $38,200 in profit.
In today’s onchain market, as tools like OpenClaw and Claude mature, such “public PnL sharing” scenarios are no longer rare: AI is transforming part of the trader population—from “overnight chart-watchers” into “people who merely nod to confirm.”
Where there’s profit, there’s business.
As AI begins earning money for people, more and more users are asking: This capability currently appears to be a privilege reserved for elite traders only—they understand frameworks, deployment, and how to connect models, wallets, instruction flows, and onchain execution tools.
Meanwhile, most ordinary users remain trapped in the cumbersome, unwieldy processes of onchain finance.
The battlefield for onchain trading infrastructure has quietly shifted—from simply stacking trading pairs and competing on liquidity—to democratizing AI capabilities.
DEXes, ever sensitive to trends, have long noticed this shift and have successively embedded AI functionality into their platforms. But the more aggressive players believe Agents will become the primary participants in the next-generation market—and have chosen to make exchanges native execution venues for Agents, striving to evolve Agents from an elite “cheat code” into a mainstream entry point.
This player is Byreal—the first onchain DEX incubated by Bybit;
and the “Agent-native DEX” is the bold new DEX direction this aggressive player is betting on.
Why should an Agent-native DEX matter?
As a core strategic pillar, the Agent-native DEX offers three key points of interest.
First, its directional correctness.
AI Agent takeover of DeFi is widely viewed as an inevitable trend.
The reason is simple: DeFi is exhausting.
You must monitor charts, calculate slippage, select liquidity pools, adjust price ranges (CLMM), track impermanent loss… In this quintessentially labor-intensive sector, barriers extend beyond capital requirements to include steep cognitive and operational hurdles.
AI Agents never tire. They operate 24/7, liberating humans from “operational drudgery.”
Hence, onchain trading patterns are shifting—from “monitor → act → monitor” to “express intent → automatic execution → continuous monitoring.” This transformation means whoever builds the foundational infrastructure first secures the entry point to the next phase of onchain trading.
Yet with such an obvious opportunity, many platforms are already leveraging AI—leading to our second point of interest: Byreal’s distinctive implementation path.
Other AI-driven solutions exist—for instance, Solana-ecosystem DEX Boltrade positions itself as an AI-powered DEX, embedding AI agent tools and emphasizing “AI-assisted trading + signal platform.”
Then there’s DeFi AI product TheoriqAI, which focuses on building AI Agent Swarms, stressing collective intelligence, and targeting DeFi liquidity provision and DEX market making—better suited for projects or large funds managing dynamic liquidity.
Byreal’s differentiation lies across two dimensions.
The first dimension is deep protocol-level compatibility between DEX and Agent. Byreal isn’t layering AI onto an existing DEX—it’s designing its entire execution architecture from the protocol layer upward with Agents as first-class citizens, building a capability layer enabling any Agent to integrate with Byreal at minimal cost.
The second dimension is democratization of Agent capability. Byreal doesn’t aim solely to serve technically proficient builders; it also seeks to empower everyday users—those with zero DeFi knowledge—to directly leverage Agent-powered trading execution.
Meanwhile, Byreal stands backed by two powerful pillars:
Byreal is a Solana-ecosystem DEX. Solana’s inherent speed and low fees are nearly tailor-made for AI Agent use cases involving “24/7 high-frequency micro-transactions.” More importantly, Solana and its Foundation have repeatedly underscored the strategic importance of AI Agents—and have proactively engaged with Byreal at multiple critical product milestones, signaling strong alignment in vision.
Simultaneously, Byreal is a DEX incubated by Bybit—the leading centralized exchange holding massive user volume, substantial trading activity, and top-tier professional market-making resources. Integrating these assets into Byreal means AI Agents executing trades gain access to superior pricing, tighter slippage, and deeper liquidity—key competitive advantages for any onchain DEX. Furthermore, Bybit’s vast user base provides Byreal with a natural traffic pipeline.
Directionally sound, uniquely executed, and well-resourced.
When all three conditions converge, growing numbers of observers are watching closely: How exactly will Byreal bring its “Agent-native DEX” strategy to life—step by step?
Build components first, then foundations
Embarking on this differentiated “Agent-native DEX” path, Byreal Agent Skills marks Byreal’s first public call to action for users.
On March 4, 2026, Byreal Agent Skills was officially open-sourced.
If onchain trading is likened to a motorsport competition, Agents are the race cars determining victory—and Byreal Agent Skills’ role is precisely to manufacture parts: precise, standardized components installable into any “race car.”
Designed exclusively for AI Agents, it delivers a structured CLI toolkit covering the full spectrum of onchain trading actions, including:
- Pools: Compare all liquidity pools and identify those offering attractive returns with manageable risk.
- Tokens: Search for any token and retrieve real-time prices.
- Swap: Buy or sell tokens with one click—including customizable slippage protection.
- Positions: Open new liquidity positions, add or remove funds, close positions, and instantly copy top traders’ position strategies.
- Wallet & Config: View addresses and balances, manage keypairs, and customize RPC endpoints, slippage tolerance, priority fees, etc.
Previously, Byreal integrated Hyperliquid to enable Perps functionality—meaning Byreal Agent Skills’ execution capabilities now extend beyond spot, LP, and Copy Farm use cases into leveraged, long/short, and trend-oriented derivatives markets.
Equipping an Agent with these Skills is akin to fitting a race car with radar, transmission, steering wheel, and autonomous driving modules: while AI features elsewhere remain stuck at decision-support stages, Byreal Agent Skills empowers your Agent to interpret markets, analyze opportunities, and execute transactions onchain.
Beyond functionality, another crucial keyword surrounding Byreal Agent Skills is “open-source.”
Open-source first ensures security and transparency:
Developers can audit every line of code to verify the absence of backdoors, hidden logic, or malicious behavior. Users retain full control over local private keys, and all commands support dry-run mode and JSON output—further enhancing determinism and auditability.
This transparency is a prerequisite for Agents to become primary trading actors, as Agents autonomously execute fund operations where trust hinges directly on visibility.
The broader significance of open-source lies in openness:
A single command installs Skills representing onchain DeFi capability seamlessly into leading AI frameworks like Claude, OpenClaw, and Claude Code. Any developer can fork, modify, adapt, or even contribute upstream improvements.
Byreal hasn’t walled off its execution layer as a moat—it’s inviting the entire ecosystem to innovate atop it.
The underlying logic is clear: Whoever’s Skills become the default interface for Agents calling onchain DeFi will dominate the standard layer for next-generation trading entry—and Byreal Agent Skills is clearly vying for this composable execution foundation role.
And early results suggest this approach is gaining traction: Within three weeks of launch, Byreal Agent Skills surpassed 1,000 independently running AI Agents; by mid-April, over 2,000 Agents were executing operations on Byreal.
Yet stopping at “foundation” is far from sufficient:
Because to effectively use Byreal Agent Skills, you must first possess an Agent (“race car”) and possess the technical skill to assemble Skills (“parts”). Yet the market consists mostly of people eager to get in the driver’s seat—but lacking assembly know-how.
Thus, the second call to action—RealClaw—follows immediately.
Building an AI supercar to democratize AI capability
If Byreal Agent Skills answers “Can Agents act?”, RealClaw answers “How do ordinary users access this capability?”
On April 13, 2026—40 days after Byreal Agent Skills launched—RealClaw officially launched.
Continuing the “race car parts” analogy, RealClaw goes further: It assembles those parts into a fully built supercar—you need neither assembly expertise nor tuning knowledge. Just insert the key, press the accelerator, and hit the track.
This is a custom product built on OpenClaw, preloaded with Byreal Skills + Solana Agent Kit, and runs entirely within Telegram. Its underlying models currently support Claude Sonnet 4.6, Minimax, and Gemini—with Byreal planning to gradually add more models based on demand and user preferences.
Setup takes less than 10 minutes. Visit the official website, click to obtain RealClaw, and upon registration completion, a non-custodial wallet secured by Privy is automatically created—eliminating lengthy tutorials and mnemonic anxiety. Meanwhile, your private key is separately stored in Privy’s secure infrastructure and on your device; RealClaw never accesses your private key.
Your task is simple: Deposit USDC, then start trading.
In terms of interaction, RealClaw’s logic is refreshingly direct: You communicate with it in plain language—even via voice.
Many “conversational” Agents exist, but RealClaw’s core strength lies in being a fully automated interaction engine capable of executing numerous complex tasks.
Markets never sleep—but people need rest. No problem: RealClaw watches for you.
It monitors markets 24/7, scans for higher-yielding liquidity pools, detects onchain “smart money” position shifts, and—by integrating breaking news and macro events—identifies new trading opportunities. It translates information asymmetries into concrete execution strategies and asks for your approval before proceeding.
Spotting opportunities demands meticulous analysis; executing strategies involves friction—but RealClaw executes cleanly and decisively.
Leveraging top-tier routing aggregators like Jupiter, RealClaw achieves optimal token swaps across Solana;
Through Farm/LP strategies, RealClaw makes money work—e.g., when idle USDC sits in your account, RealClaw automatically identifies pools, compares yields, and deploys funds to earn fees and rewards; if positions drift, it alerts you—or rebalances automatically.
One-click smart-money position copying and dollar-cost averaging (DCA) functions simplify onchain trading: RealClaw automatically captures top smart-money range strategies, replicates them with one click, and applies risk controls for added safety; its automated DCA covers both crypto and traditional finance—executing periodic purchases across crypto assets, U.S. equities, gold, and more.
Additionally, RealClaw serves as a vigilant risk manager and onchain P&L overseer:
Positions drifting out of range? Fee accrual halts. Sharp price volatility? Impermanent loss starts eroding profits… Upon detecting deviations, RealClaw triggers immediate alerts.
How much did you earn—or lose? Previously, you’d manually check multiple dashboards. Now, just ask upon waking: “How did my money do today?”—and RealClaw delivers a digestible briefing in plain language, acting like an always-on personal assistant summarizing your performance daily.
From opportunity discovery and strategy execution to position management, risk control, and P&L review, RealClaw covers the complete journey—from “watching markets” to “earning profits”—for the average trader.
Previously, traversing this path required doing each step manually.
Now, RealClaw turns it into a single sentence.
Rooting downward, extending upward: Byreal’s continuous evolution toward an “Agent-native DEX”
From Byreal Agent Skills to RealClaw, Byreal has completed the full journey: “building components → building a complete vehicle.”
Byreal Agent Skills—as an open-source Skill library—standardizes, exposes, and composes DeFi actions, continually advancing Byreal’s role as an integrable capability foundation;
RealClaw transforms Agent capabilities—previously accessible only to power users—into a consumer-grade trading terminal usable by anyone.
Yet interpreting these two steps merely as “launching two products” underestimates Byreal’s deeper strategic game.
Everything evolves continuously—and Byreal embeds this philosophy into its product design.
The market isn’t short on Agents—some chat, some watch charts, some place orders—but their functions are hardcoded.
What you can do with them depends entirely on what developers originally programmed.
Byreal Agent Skills and RealClaw differ fundamentally.
RealClaw adopts a modular “plug-and-play Skill” architecture—functionally resembling a Web3 skill app store. When new Byreal-Skills launch, they’re inserted directly, instantly upgrading capabilities—and Byreal-Skills keep evolving.
This means today, Agents can help you Swap, Farm, Copy Farm, DCA, scan for opportunities, and issue market alerts.
In the future, with new Skills launching, they’ll do even more.
Each new Skill release marks a fresh starting point for enhanced Agent capability.
According to official announcements, RealClaw will expand further—including introducing a task system where users earn usage quotas by completing tasks, deploying more powerful models and richer trading strategies, and launching upcoming Skills such as event-driven trading based on macroeconomic indicators, prediction markets, and Byreal Perps.
Byreal Agent Skills functions as the root system of Byreal’s “Agent-native DEX” tree—continuously deepening to strengthen the innovator ecosystem—while RealClaw acts as the canopy, extending upward to connect everyday users. These two pivotal products evolve continuously, expanding AI trading capability from an elite privilege to an everyday utility for all.
Naturally, the most direct way to experience the capability boundaries of an “Agent-native DEX” is participation.
Currently, Byreal Agent Skills is fully open, freely available for anyone to enhance their own AI Agents with onchain trading capabilities.
RealClaw remains in Beta testing, requiring interested users to first join the Waitlist via the official website. Official invites are distributed regularly through official X posts and the official Telegram community. Additionally, to further refine functionality, test the product, and unlock new use-case scenarios ahead of public launch, RealClaw has partnered with Mantle to launch the ClawHacks hackathon, where participants can experience RealClaw while competing for a $20,000 prize pool.
From this, we see Byreal’s “Agent-native DEX” initiative is still in its early, formative stage.
Its future product performance and market acceptance remain uncertain.
Yet amid uncertainty, one thing is certain:
As DeFi trading shifts from “monitor → act → monitor” to “express intent → automatic execution → continuous monitoring,” few will persist with unnecessary manual intervention.
Byreal aims to demonstrate—through Byreal Agent Skills and RealClaw—that combining AI with blockchain further eliminates execution as a barrier and renders technology no longer an exclusive privilege.
Regardless of who ultimately wins, in this AI-driven rewriting of onchain trading rules, those who participate earlier may become the first to master the new rules.
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