Travala, the Singapore-based crypto travel platform, unveiled what it describes as the first agent-enabled AI travel protocol on Base, enabling artificial intelligence agents to search, reserve, and pay for hotels using USDC. The Travala Travel MCP (Multi-Channel Protocol) is live via Claude Desktop and opens to external developers who want to integrate their own travel agents with Travala’s hotel inventory.

The company says the system links Travala’s hotel inventory to AI agents through the Model Context Protocol, an open standard for connecting AI apps to external tools. Payments flow over Coinbase’s x402 protocol on Base, delivering gasless USDC transactions, near-instant settlement, and projected transaction costs around $0.01 per booking. Final payment authorization, however, still requires manual approval from the traveler, so the workflow remains semi-autonomous rather than fully automated.

Key takeaways

• The world’s first agentic AI travel protocol on Base enables AI-driven hotel bookings using USDC via the x402 framework, with gasless transactions and sub-cent costs per booking.
• Ultimate payment approval stays in the traveler’s hands, making the system more a guided automation than a full-autonomy checkout.
• Travala’s protocol provides access to more than 2.2 million hotel listings, including properties from Marriott, Hilton and IHG, and supports integration with third-party travel agents.
• Beyond hotels, Travala plans to extend the protocol to other travel products such as flights, with its AVA loyalty token poised to enable future MCP use cases.

How the AI-enabled travel protocol works and why it matters

At the core, Travala’s Travel MCP connects its hotel inventory to AI agents using the Model Context Protocol, a framework designed to let AI applications interact with real-world tools and data. This setup is paired with ERC-7715 session keys, allowing an AI agent to request a payment while preserving final signing authority within the traveler’s own wallet. In practice, a user can initiate a search and booking flow with an AI agent, and the agent will trigger a payment request that the traveler can approve, all within a single, continuous chat thread that preserves context across searches, bookings, and cancellations.

Travala emphasizes that the payment layer operates on Base via Coinbase’s x402 protocol, which enables gasless USDC transactions and faster settlement without the typical on-chain fee burden. The company estimates booking costs around $0.01 in transaction fees, a tiny fraction by crypto standards, though the exact figures can vary with network conditions and off-chain processing. In a nod to real-world practicality, the protocol does not eliminate human oversight—travelers must authorize every payment, ensuring consumer protection and control remain central to the experience.

Branding the move as a step toward a more autonomous travel economy, Travala’s leadership frames it as a shift away from the traditional checkout button. Chief Executive Juan Otero described the launch as “the death of the checkout button” and framed it as the opening salvo in a broader transition toward AI-driven bookings—while still keeping the traveler in the loop for final decisions.

The protocol’s architecture is designed to maintain continuity across the entire trip lifecycle. From a user’s initial search to a potential cancellation, the AI agent can operate within a single conversation, pulling in live inventory, rates, and terms without forcing the user to repeatedly re-enter information or re-approve steps in separate flows. The design aims to streamline user experiences and reduce friction in AI-assisted travel planning.

As part of the rollout, Travala is offering developers a 10% Coinbase Wrapped BTC (cbBTC) rebate on completed stays booked through its AI agents, providing a tangible incentive for integrating with the protocol and building out new use cases for AI-driven payments in travel.

A broader context: a wave of AI-agent payment infrastructure

The Travala announcement sits within a growing wave of crypto infrastructure aimed at enabling AI agents to transact. Cointelegraph reports that x402-linked wallets on Base have surpassed 100 million transactions, underscoring the momentum behind agentic payment rails on Layer 2. The ecosystem has seen a string of product launches from notable names, including Fireblocks, MoonPay, Exodus and Oobit, all pursuing AI-centric stablecoin payment capabilities to power autonomous or semi-autonomous workflows for users and businesses alike.

Travala also notes that its protocol taps into a broad pool of hotel inventory, with listings drawn from major brands via aggregator partners. In total, the platform’s catalog covers more than 2.2 million hotels, including properties from Marriott, Hilton and IHG. Beyond hotels, the company intends to extend the MCP to other travel components, notably flights, while the AVA loyalty token could underpin future MCP use cases as adoption grows.

From a competitive standpoint, Travala’s move shifts the frame from traditional crypto-enabled checkouts to AI-agent-enabled booking infrastructure. The company previously positioned itself as part of a competitive ecosystem that includes Sleap.io and Alternative Airlines, but the current announcement emphasizes infrastructure for AI agents, with a focus on seamless, agent-mediated payments rather than purely crypto-only checkout experiences.

What to watch next for AI travel and payments

Travala’s foray into agentic travel payments raises several questions for stakeholders: How will final-approval controls evolve as AI agents learn to anticipate user needs? Will more airlines and hotel chains join the Model Context Protocol ecosystem, and how will loyalty programs like AVA adapt to machine-to-machine or agent-mediated bookings? Regulators may also scrutinize semi-autonomous payment flows to ensure consumer protections keep pace with technology.

For developers and investors, the key signals will be how quickly the MCP gains traction across the travel vertical, how easily third-party agents can integrate, and whether cost savings from gasless Base transactions translate into measurable efficiency gains or improved customer experiences. Observers will also be watching how the wider crypto payments landscape adapts to growing AI usage, including the balance between automation and human oversight in financial transactions.

As the technology matures, travel participants—consumers, developers, and hospitality partners—will need to assess how far AI-driven, semi-autonomous bookings can improve convenience without sacrificing control or safety. The coming months should clarify how broadly the Model Context Protocol-based integrations will expand, which travel segments will follow hotels into automation, and what policy guardrails will shape the adoption of agent-based payments on Layer 2 networks.

TLDR:

• Crypto liquidation heatmap recorded $1.28 billion in losses as market leverage rapidly unwound.
• Long positions suffered nearly $996 million in liquidations, far exceeding short-side losses.
• Bitcoin and Ethereum accounted for over $830 million of total liquidations during the selloff.
• More than 264,000 traders were liquidated as cascading margin calls accelerated declines.

Crypto liquidation heatmap data revealed one of the largest leverage flushes seen in recent weeks, with more than $1.28 billion erased from crypto derivatives markets in a single day.

The event exposed excessive bullish positioning as traders faced a rapid wave of forced liquidations across major digital assets.

Long Traders Bore the Brunt of the Market Unwind

The crypto liquidation heatmap showed a clear imbalance between bullish and bearish positions. Of the $1.28 billion liquidated during the period, nearly $996 million came from long positions, while short liquidations totaled about $289 million.

The figures suggest traders entered the session with strong expectations of further upside. However, once prices started weakening, leveraged positions quickly became vulnerable.

As margin levels deteriorated, exchanges automatically closed positions to limit losses, accelerating selling pressure throughout the market.

Data from liquidation trackers showed how quickly conditions worsened. What started as modest liquidations during the early hours evolved into a broad market deleveraging event.

The process created a chain reaction where each forced sale contributed to further downside pressure, triggering additional liquidations.

More than 264,000 traders were reportedly liquidated during the move. The scale of participation indicates that both retail and larger market participants were caught in the downturn. One of the largest reported liquidations involved a BTCUSD position valued at approximately $9.02 million.

Bitcoin and Ethereum Dominate Liquidation Activity

Bitcoin and Ethereum accounted for the majority of losses displayed on the crypto liquidation heatmap. Bitcoin registered approximately $476.53 million in liquidations, while Ethereum followed with around $354.02 million.

Source: CoinGlass

Combined, the two largest cryptocurrencies represented more than $830 million of the total liquidations. Such concentration reflects the amount of leveraged capital typically deployed in major digital assets, particularly during periods of strong market optimism.

Separate heatmap snapshots also placed Ethereum at the top of liquidation rankings in certain intervals. This trend is often observed when traders seek higher returns through ETH exposure during bullish phases. As sentiment shifted, those positions faced heavier pressure.

The timeline of liquidations further demonstrated the speed of the move. Losses climbed from roughly $7.82 million in the first hour to $40.76 million within four hours. By the 12-hour mark, liquidations had surpassed $336 million before ultimately reaching $1.28 billion.

While the selloff caused substantial losses, the event also removed a significant amount of leverage from the market.

The crypto liquidation heatmap captured a rapid transition from aggressive risk-taking to defensive positioning, illustrating how quickly sentiment can change within the digital asset sector.

A Bitcoin address that had held 35.55 bitcoin worth $2.54 million untouched since March 2011 moved its coins earlier this wee,, becoming one of the first publicly visible responses from a named defendant in a New York state lawsuit that claims legal title over 39,069 dormant bitcoin wallets.

The wallet, 1LwWtSs7tMCwcRczQd5kVMv3xpWw6w4Sxe, sent 15 BTC to a new address and held the remaining 20.55 BTC as change in transaction b90755b at 16:46 UTC on June 2, recorded in Bitcoin block 952,104, per mempool.space data.

The original coins were received on March 27, 2011, when bitcoin traded at less than a dollar.

The lawsuit, filed March 11, 2026 at the New York County Supreme Court under index number 153119/2026 and amended on May 1, names a pseudonymous plaintiff identified only as Noah Doe along with two Wyoming LLCs holding assigned interests, ABC Company and XYZ Company.

The plaintiffs seek legal ownership of roughly 3.8 million bitcoin valued at approximately $285 billion under New York Personal Property Law Article 7-B, the state’s lost-property statute, with Noah Doe positioned as a “finder” under abandoned-property doctrine.

The court authorized on-chain service of the defendants through OP_RETURN messages, a Bitcoin transaction field that lets users embed short text or URLs permanently on the blockchain.

Noah Doe’s blockchain consultant, Salomon Brothers Strategic Advisors, broadcast 98 batches of dust transactions across Bitcoin blocks 950,446 to 950,576 in June and July 2025, each carrying 546 satoshis and a link to the abandonment notice. The 1LwWt wallet was served on July 31, 2025, with a 90-day window to respond.

Galaxy Research’s Alex Thorn flagged the move on X Tuesday morning, identifying the wallet as the firm’s tracked Noah Doe defendant #38215. “Apparently, they were not, in fact, abandoned,” Thorn wrote.

The move came nearly seven months after the 90-day response window expired and roughly three months after the lawsuit was formally filed. Per Galaxy’s analysis, hundreds of wallets moved coins during the original notice campaign and were excluded from the final defendant list.

The 1LwWt move, occurring after the lawsuit was already underway with the wallet named as a defendant, is among the first publicly visible responses from inside the active case.

Meanwhile, a separate 15-year-dormant wallet, 1CDSyXAQxro4FPUoqAQb81642ruqDsUiNp, moved 20 BTC ($1.48 million) to a SegWit address approximately 13 hours before the 1LwWt move, per Arkham Intelligence data. The 1CDSy wallet received its original coins around the same 2011 window but does not appear to have been targeted by the Noah Doe notice campaign or named in the lawsuit.

The movements come during a sharp bitcoin slide that has taken BTC to near $70,000 for the first time in weeks, with Strategy’s first publicized bitcoin sale, a record 10-session spot ETF outflow streak, and stalled U.S.-Iran ceasefire talks all weighing on the market.

Satoshi-era coins were acquired before bitcoin had a meaningful dollar price, meaning any sale at current levels would mark a near-infinite gain on cost basis.

Chicago-based trading giant DRW has spent decades profiting from mismatches between different asset classes, and now it’s building a dedicated prediction market desk targeting platforms such as Polymarket and Kalshi.

The move is one of the clearest signs yet that sophisticated “quantitative trading” firms — traders that use complex math and analysis to set up strategies — are increasingly viewing prediction markets as a legitimate trading venue rather than a niche betting product.

The firm that has been a dominant force in derivatives, fixed income and crypto markets since 1992, recently posted a job listing requiring candidates to monitor prices in real time across both platforms simultaneously, identify gaps where one is mispricing an outcome relative to the other and react quickly to profit before the pricing converges. The strategies listed in these posts — including microstructure arbitrage, cross-platform arbitrage, and news-driven momentum trading at sub-second speeds — are techniques honed in crypto derivatives markets and now being applied to sports and political events.

DRW is not alone. Wintermute, the algorithmic market maker that processes billions in daily crypto volume, is hiring algorithmic traders with experience in prediction markets. IMC, another proprietary trading firm, is also looking for quantitative traders comfortable operating across binary event contracts. Meanwhile, traditional crypto exchanges like OKX and Crypto.com have also recently posted job listings.

The hiring wave suggests institutional trading firms increasingly believe prediction markets have matured into a serious asset class and are ripe for profit.

Exploiting the mismatch

So what’s driving the sudden push? The catalyst is the volume being traded on these platforms.

Polymarket alone processed between $22 billion and $40 billion across political, economic and sports markets in 2025, up from virtually nothing three years ago and a growing share of that is concentrated in sports.

As of last week, Polymarket’s market on the UEFA Champions League Winner has processed $256 million, the 2026 NBA Champion market has done $399 million, and the 2026 NHL Stanley Cup market sits at $79 million after wild swings that saw Carolina Hurricanes rise from sub-10% implied probability to around 50% as they emerged from the Eastern Conference.

Combined, those three markets alone represent over $730 million in volume on sports outcomes, approaching the annual trading volume of some mid-sized European sports betting exchanges.

But the real reason traditional firms are pushing into this industry may not be to predict outcomes better than everyone else, market observers say.

“I don’t expect the institutional capital is contributing meaningfully to the accuracy of these markets, especially in the case of sports,” said Harry Crane, a statistics professor at Rutgers University who studies prediction market calibration.

“The accuracy of the markets is driven by specialized sports betting groups, which are much sharper at pricing sports outcomes.

Instead, Crane argues, firms such as DRW are likely applying trading techniques developed in traditional financial markets to exploit pricing mismatch.

“To the extent they are profitable, the institutions are likely applying techniques on short-term market dynamics and other technical aspects of trading that capitalize on short-term market fluctuations without insight into the event outcome.”

Simply put, DRW is not trying to predict who wins the Champions League. It is trying to profit from the way prices move before that question is answered.

A recent example appeared in the market for Britain’s next prime minister.

On the morning of May 14, Andy Burnham’s odds of becoming the next U.K. leader in the betting of “Next UK Prime Minister” on Polymarket surged from 24 cents to 43 cents as political speculation intensified around a potential Labour leadership challenge. But Betfair, the London-based betting exchange with over a billion pounds in annual volume, had already identified the move, pricing Burnham at the equivalent of 50 cents while Polymarket still showed 24 cents.

It took Polymarket hours to catch up.

For casual bettors, the gap was an interesting anomaly, but to a sophisticated quant trader, it was a textbook cross-market inefficiency waiting to be exploited.

In theory, a trader could have bought $10,000 of Burnham contracts on Polymarket at 24 cents after noticing the mismatch, before locking in $7,900 worth of profit in a matter of hours by selling when it caught up to Betfair, which would have made a profit without the event even needing to take place.

It’s a technique that has been used for decades by traditional trading firms: finding a mispriced asset across exchanges and either simultaneously buying/selling, as in arbitrage, or buying the underpriced asset and waiting for it to catch up.

Prediction markets, however, introduce an additional challenge. Betfair settles in sterling while Polymarket settles in crypto, requiring infrastructure capable of moving capital across currencies, exchanges and settlement systems.

That kind of complexity plays directly into the strengths of large trading firms, such as DRW

What’s driving them?

Beyond outright arbitrage, traders point to two structural features that make prediction markets attractive today.

The first is information lag. Traditional betting exchanges often react more quickly than decentralized prediction platforms, creating windows where prices have not yet fully adjusted.

The second is liquidity fragmentation. Champions League, NBA and Stanley Cup markets can trade simultaneously across Polymarket, Kalshi and traditional sportsbooks, meaning no single venue necessarily reflects the full market consensus.

For traders focused on forecasting outcomes rather than market structure, the toolkit looks increasingly familiar to quantitative finance.

Soccer traders often rely on “Dixon-Coles Poisson” models. The toolkit, developed in a 1997 academic paper, estimates team attack and defense strength and generates probability distributions for potential scorelines. This is something similar to how a weather forecaster assigns precise probabilities to every possible outcome rather than making a single prediction.

Meanwhile, Basketball traders frequently use “Bayesian Hierarchical” models that update assessments of team strength as new information arrives.

The goal for both models is to identify discrepancies between a model’s estimated probability and the probability implied by market prices.

A trader whose model values Arsenal’s Champions League chances at 47% while contracts trade at 43 cents may buy and profit if the market eventually converges toward that estimate.

The concept is known as closing line value, or CLV.

Crane explains why the CLV matters: “It incorporates all known pre-game information, such as injuries and lineup changes, and the sharpest players tend to wait until closer to game time to place bets because that is when the limits tend to be highest.”

Competition is here

Still, Crane remains skeptical that institutional firms will dominate sports prediction markets simply because they have arrived with larger balance sheets.

“Right now, the sharpest players in the sports betting markets are not the institutions,” he said. “The sharpest players have been in these markets for decades, and the prevailing market prices are likely driven by the same groups and the same information sources since long before prediction markets existed.”

Despite the skepticism, the talent migration is already underway.

Crypto market makers are studying sports analytics and expected-goals models, while traditional sports betting specialists are increasingly being recruited by crypto firms seeking expertise that took years to develop.

And it’s not just theoretical.

HyperLiquid, the onchain perpetuals exchange that processed over $10 billion in daily volume at its peak, is already preparing to launch prediction markets ahead of the 2026 World Cup, featuring 64 games over six weeks and generating thousands of correlated binary outcomes.

The infrastructure is being built, and the desks are now being staffed, with models working on potential outcomes.

The main question is whether institutions can outperform veteran sports bettors by finding their edge and applying sophisticated trading models used in traditional finance. But on latency, market structure and cross-platform inefficiencies, the competition has already begun.

Read more: Hyperliquid is emerging as a challenger to traditional exchanges and prediction markets, says FalconX

For a long time, online gambling in the United States has been ruled by a small group of big brands. Caesars and DraftKings are two of the names that come up the most. Both have huge marketing budgets, strong sports ties, and loyal player bases. But the market is starting to change. Crypto-focused platforms are pulling more players away from the old names every month, and ZunaBet, launched in 2026, is one of the newer brands making waves.

This piece breaks down how Caesars and DraftKings stack up against each other, and where ZunaBet fits as a fresh option built for a different kind of player.

The Two Big Names in Traditional Betting

Caesars has roots that go back decades in physical casinos. The company brought that history online with Caesars Palace Online Casino and the Caesars Sportsbook. It runs on fiat currency, with deposits through cards, bank transfers, and PayPal. Its loyalty program ties online play to real-world rewards like hotel stays and meals at Caesars properties.

DraftKings came from a different starting point. It began with daily fantasy sports and grew into a full betting platform. Now it is one of the most recognized brands in US sports betting, with strong mobile apps and major league partnerships. It works in the same fiat-based, state-licensed system as Caesars.

Both brands are dependable and easy to use if you live in a supported state. But both also share the same downsides. They are limited by state laws, slower on payouts than crypto sites, and their game libraries are small compared to what global platforms offer. Their VIP programs follow the same point-and-tier setup that has been around for years.

ZunaBet Joins the Conversation

ZunaBet is a newer name that has been picking up steam since it launched in 2026. It is run by Strathvale Group Ltd and licensed in Anjouan. Unlike Caesars and DraftKings, which were built for the traditional US system, ZunaBet was designed as a crypto-first platform from day one. That changes a lot about how it feels to use.

The casino has over 11,000 games from more than 60 providers, including big names like Pragmatic Play, Hacksaw Gaming, Yggdrasil, BGaming, and Evolution. That library is far bigger than what most US-licensed sites can run. Players get slots, table games, and live dealer rooms all under one account.

ZunaBet also runs a full sportsbook. It covers football, basketball, tennis, NHL, and other major sports, along with esports like CS2, Dota 2, League of Legends, and Valorant. Virtual sports and combat sports are part of the lineup too, which makes it a hybrid platform similar to DraftKings but with wider coverage.

Crypto Changes the Game

This is where the difference between ZunaBet and the older platforms really shows. Caesars and DraftKings deal in dollars. That means bank processing, possible holds, and slower withdrawals.

ZunaBet works with more than 20 cryptocurrencies, including Bitcoin, Ethereum, USDT across several chains, Solana, Dogecoin, Cardano, and XRP. There are no platform processing fees, and withdrawals move quickly. For players who already use crypto or want faster, cheaper transactions, this is a big upgrade.

Crypto platforms also tend to operate globally instead of being locked to specific states. Players in many regions can get the full library and sportsbook without the geographic walls that come with US-based brands. For younger players who already live in a digital, crypto-friendly world, this is closer to what they expect from a modern platform.

How the Welcome Offers Compare

Caesars and DraftKings offer welcome bonuses that usually take the form of a deposit match or a risk-free first bet. These promos depend on state rules and often come with tight wagering requirements.

ZunaBet offers a welcome package worth up to $5,000 plus 75 free spins, split across three deposits. The first deposit comes with a 100% match up to $2,000 plus 25 spins. The second adds a 50% match up to $1,500 plus 25 spins. The third gives another 100% match up to $1,500 plus 25 spins. It is marketed as a 250% bonus across three deposits, giving new players more chances to try the platform than a single-deposit offer would.

Loyalty Programs Side by Side

Caesars Rewards is one of the most well-known loyalty programs in gambling. It connects online play to real-world perks at Caesars properties, which is great if you visit Las Vegas or Atlantic City. DraftKings Dynasty Rewards offers points you can swap for bonuses, free bets, and event tickets.

Both work, but both follow the same model that has been used for decades. ZunaBet takes a different approach. Its loyalty program is built around a dragon evolution theme with a mascot called Zuno. There are six tiers: Squire with 1% rakeback, Warden with 2%, Champion with 4%, Divine with 5%, Knight with 10%, and Ultimate with 20% rakeback at the top.

Players also earn tier-based free spins up to 1,000 spins, VIP club access, and double wheel spins as they level up. The whole setup feels more like progressing through a video game than collecting points on a card. For players who grew up with that kind of reward loop, it lands better than a standard VIP system.

Why ZunaBet Is the One to Watch

Caesars and DraftKings are still strong choices if you want a traditional, regulated US betting experience. Neither brand is going anywhere, and both have earned their place in the industry. But the way players pay, play, and stick with a platform is changing fast.

ZunaBet is built around that change. The crypto-first setup means quicker payments and lower fees. The game library is bigger than what the older brands can match. The sportsbook covers traditional sports and esports in one place. The dragon-themed loyalty program turns regular play into something that feels rewarding and fun to chase.

For players who want speed, variety, and a more modern feel, ZunaBet is one of the more exciting options out there right now. It is still an emerging platform, but everything about it points to where online casinos are heading next. A new generation of players expects crypto support, gamified rewards, and global access as standard features, not bonuses.

Caesars and DraftKings built what online betting looks like today. ZunaBet is one of the platforms shaping what it will look like tomorrow.

Disclaimer: This is a Press Release provided by a third party who is responsible for the content. Please conduct your own research before taking any action based on the content.