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Bitcoin's Four-Year Cycle Is Dead: What Replaces the Sacred Halving Pattern

· 11 min read
Dora Noda
Software Engineer

For over a decade, Bitcoin traders set their watches by one immutable rhythm: the four-year halving cycle. Like clockwork, each halving event sparked a predictable sequence of supply shock, bull market euphoria, and eventual correction. But in 2025, something unprecedented happened—the year following a halving finished in the red, declining approximately 6% from January's open. Major financial institutions including Bernstein, Pantera Capital, and analysts at Coin Bureau now agree: Bitcoin's sacred four-year cycle is dead. What killed it, and what new market dynamics are taking its place?

The Halving Cycle That Worked—Until It Didn't

Bitcoin's halving mechanism was elegant in its simplicity. Every 210,000 blocks (roughly four years), the block reward for miners gets cut in half, reducing new supply entering the market. In 2012, the reward dropped from 50 BTC to 25. In 2016, from 25 to 12.5. In 2020, from 12.5 to 6.25. And in 2024, from 6.25 to 3.125.

Historically, these supply shocks triggered predictable bull runs. The 2016 halving preceded Bitcoin's 2017 surge to $20,000. The 2020 halving set the stage for the 2021 peak at $69,000. Traders came to view halvings as reliable market catalysts, building entire investment strategies around this four-year cadence.

But the 2024 halving broke the pattern spectacularly. Rather than rallying throughout 2025, Bitcoin experienced its first-ever negative return in a post-halving year. The asset that once followed a predictable rhythm now dances to a different tune—one orchestrated by institutional flows, macroeconomic policy, and sovereign adoption rather than mining rewards.

Why the Halving No Longer Matters

The death of the four-year cycle stems from three fundamental shifts in Bitcoin's market structure:

1. Diminishing Supply Shock Impact

Each halving reduces supply by smaller absolute amounts. In the 2024 halving, Bitcoin's annual supply growth dropped from 1.7% to just 0.85%. With nearly 94% of all Bitcoin already mined, the marginal impact of cutting new issuance continues to shrink with each cycle.

Bernstein's research highlights this mathematical reality: when daily issuance represented 2-3% of trading volume, halvings created genuine supply constraints. Today, with institutional volumes measured in billions, the roughly 450 BTC mined daily barely registers. The supply shock that once moved markets has become a rounding error in global Bitcoin trading.

2. Institutional Demand Dwarfs Mining Supply

The game-changing development is that institutional buyers now absorb more Bitcoin than miners produce. In 2025, exchange-traded funds, corporate treasuries, and sovereign governments collectively acquired more BTC than the total mined supply.

BlackRock's IBIT alone holds approximately 773,000 BTC worth nearly $70.8 billion as of January 2026—making it the largest spot Bitcoin ETF by assets under management. The entire Bitcoin ETF complex holds roughly $113.8 billion in assets with cumulative net inflows of nearly $56.9 billion since January 2024. That's more than three years' worth of mining rewards absorbed in just two years.

Corporate treasuries tell a similar story. Strategy (formerly MicroStrategy) owns 713,502 bitcoins as of February 2, 2026, with a total cost basis of $33.139 billion. The company's aggressive "42/42 Plan"—raising $42 billion through combined equity and debt offerings—represents demand that eclipses multiple halvings' worth of supply.

Bernstein notes that minimal ETF outflows during Bitcoin's 30% correction from its $126,000 peak to the mid-$80,000s highlighted the emergence of long-term, conviction-driven institutional holders. Unlike retail traders who panic-sold during previous downturns, institutions treated the dip as a buying opportunity.

3. Macro Correlation Replaces Supply Dynamics

Perhaps most critically, Bitcoin has matured from a supply-driven asset to a liquidity-driven one. The cycle now correlates more with Federal Reserve policy, global liquidity conditions, and institutional capital flows than with mining rewards.

As one analyst noted, "By February 2026, the market is no longer watching a halving clock but watching the Fed's dot plot, searching for the 'oxygen' of another round of quantitative easing."

This transformation is evident in Bitcoin's price action. The asset now moves in tandem with risk assets like tech stocks, responding to interest rate decisions, inflation data, and liquidity injections. When the Fed tightened policy in 2022-2023, Bitcoin crashed alongside equities. When rate cut expectations emerged in 2024, both rallied together.

The New Bitcoin Cycle: Liquidity-Driven and Elongated

If the halving cycle is dead, what replaces it? Institutions and analysts point to three emerging patterns:

Elongated Bull Markets

Bernstein projects a "sustained multi-year climb" rather than explosive boom-bust cycles. Their price targets reflect this shift: $150,000 in 2026, $200,000 in 2027, and a long-term goal of $1 million by 2033. This represents annualized growth far more modest than previous cycles' 10-20x explosions, but far more sustainable.

The theory is that institutional capital flows create price floors that prevent catastrophic crashes. With over 1.3 million BTC (roughly 6% of total supply) locked in ETFs and corporate treasuries holding over 8% of supply, the floating supply available for panic selling has shrunk dramatically. Strategy CEO Michael Saylor's "digital credit factory" strategy—transforming Bitcoin holdings into structured financial products—further removes coins from circulation.

Liquidity-Driven 2-Year Mini-Cycles

Some analysts now argue Bitcoin operates on compressed, roughly 2-year cycles driven by liquidity regimes rather than calendar halvings. This model suggests that Bitcoin's price discovery flows through institutional vehicles primarily tied to macroeconomic and liquidity conditions.

Under this framework, we're not in "Year 2 of the 2024 halving cycle"—we're in the liquidity expansion phase following 2023's contraction. The next downturn won't arrive on schedule 3-4 years from now, but rather when the Fed pivots from accommodation to tightening, potentially in 2027-2028.

Sovereign Adoption as a New Catalyst

The most revolutionary shift may be sovereign nation adoption replacing retail speculation as the marginal buyer. A 2026 report reveals that 27 countries now have direct or indirect exposure to Bitcoin, with 13 more pursuing legislative measures.

The United States established a Strategic Bitcoin Reserve via executive order on March 6, 2025. Senator Cynthia Lummis's bill, if enacted, would mandate the U.S. purchase one million bitcoins as a strategic reserve. El Salvador made its largest single-day Bitcoin purchase in November 2025. Bhutan utilized its hydroelectric power for Bitcoin mining, earning over $1.1 billion—more than a third of the country's total GDP.

This sovereign demand operates on entirely different timeframes than speculative retail trading. Countries don't sell their gold reserves during corrections, and they're unlikely to trade Bitcoin holdings based on technical analysis. This "diamond hands" sovereign layer creates permanent demand that further decouples Bitcoin from its historical cyclical patterns.

What This Means for Investors

The death of the four-year cycle has profound implications for Bitcoin investment strategy:

Reduced Volatility: While Bitcoin remains volatile by traditional asset standards, institutional ownership and reduced floating supply should dampen the 80-90% drawdowns that characterized previous bear markets. Bernstein's call for a $60,000 bottom (rather than sub-$20,000 levels seen in 2022) reflects this new reality.

Longer Time Horizons: If bull markets extend over multi-year periods rather than explosive 12-18 month surges, successful investing requires patience. The "get rich quick" retail mentality that worked in 2017 and 2021 may underperform consistent accumulation strategies.

Macro Awareness Required: Bitcoin traders must now track Federal Reserve decisions, global liquidity conditions, and institutional capital flows. The crypto-native approach of analyzing on-chain metrics and technical patterns alone is insufficient. As one report notes, Bitcoin operates more like a "macro asset influenced by institutional adoption" than a supply-constrained commodity.

ETF Flow as the New Metric: Daily mining output used to be the key supply metric. Now, ETF inflows and outflows matter more. Citi's 2026 forecast puts Bitcoin around $143,000 with an expectation of roughly $15 billion in ETF inflows—a number comparable to an entire year's post-halving issuance value. If institutional interest plateaus and multi-month net outflows occur, the buy-the-dip mechanism will vanish.

The Counterargument: Maybe the Cycle Isn't Dead

Not everyone accepts the "cycle is dead" thesis. Some analysts argue we're experiencing a temporary deviation rather than permanent structural change.

The counterargument goes like this: every Bitcoin cycle featured mid-cycle doubters declaring "this time is different." In 2015, skeptics said Bitcoin couldn't recover from the Mt. Gox collapse. In 2019, they claimed institutional interest would never materialize. In 2023, they predicted ETF approvals would be "sell the news" events.

Perhaps 2025's negative return reflects timing more than transformation. The 2024 halving occurred in April, while ETF approvals came in January—creating an unusual situation where institutional demand front-ran the supply shock. If we measure from ETF approval rather than halving date, we might still be in the early stages of a traditional bull market.

Additionally, Bitcoin has historically required 12-18 months post-halving to reach cycle peaks. If this pattern holds, the true test won't come until late 2025 or early 2026. A surge to Bernstein's $150,000 target over the next 6-9 months would retroactively validate the cycle rather than disprove it.

Conclusion: Bitcoin Grows Up

Whether the four-year cycle is definitively dead or merely evolving, one conclusion is undeniable: Bitcoin has fundamentally transformed from a retail-driven speculative asset to an institutional-grade financial instrument. The question isn't whether this change has occurred—the $179.5 billion in ETF assets and $33 billion Strategy treasury prove it has—but rather what this maturation means for future price action.

The old playbook of buying after halvings and selling 18 months later may still generate returns, but it's no longer the only—or even the primary—framework for understanding Bitcoin markets. Today's Bitcoin moves with global liquidity, responds to Federal Reserve policy, and increasingly serves as a treasury asset for both corporations and nations.

For retail investors, this presents both challenges and opportunities. The explosive 100x gains that early adopters enjoyed are likely behind us, but so are the 90% drawdowns that wiped out overleveraged traders. Bitcoin is growing up, and like any maturing asset, it's trading excitement for stability, volatility for legitimacy, and boom-bust cycles for sustained multi-year growth.

The four-year cycle is dead. Long live the institutional Bitcoin market.


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Coinbase CEO Becomes Wall Street's 'Public Enemy No. 1': The Battle Over Crypto's Future

· 11 min read
Dora Noda
Software Engineer

When JPMorgan Chase CEO Jamie Dimon interrupted Coinbase CEO Brian Armstrong's coffee chat with former UK Prime Minister Tony Blair at Davos in January 2026, jabbing his finger and declaring "You are full of shit," it marked more than just a personal clash. The confrontation crystallized what may be the defining conflict of crypto's maturation: the existential battle between traditional banking and decentralized finance infrastructure.

The Wall Street Journal's branding of Armstrong as Wall Street's "Enemy No. 1" isn't hyperbole—it reflects a high-stakes war over the architecture of global finance worth trillions of dollars. At the center of this confrontation sits the CLARITY Act, a 278-page Senate crypto bill that could determine whether innovation or incumbent protection shapes the industry's next decade.

The Davos Cold Shoulder: When Banks Close Ranks

Armstrong's reception at the World Economic Forum in January 2026 reads like a scene from a corporate thriller. After publicly opposing the CLARITY Act's draft provisions, he faced a coordinated cold shoulder from America's banking elite.

The encounters were remarkably uniform in their hostility:

  • Bank of America's Brian Moynihan endured a 30-minute meeting before dismissing Armstrong with: "If you want to be a bank, just be a bank."
  • Wells Fargo CEO Charlie Scharf refused engagement entirely, stating there was "nothing for them to talk about."
  • Citigroup's Jane Fraser granted him less than 60 seconds.
  • Jamie Dimon's confrontation was the most theatrical, publicly accusing Armstrong of "lying on television" about banks sabotaging digital asset legislation.

This wasn't random hostility. It was a coordinated response to Armstrong's withdrawal of Coinbase's support for the CLARITY Act just 24 hours before the Davos meetings—and his subsequent media appearances accusing banks of regulatory capture.

The $6.6 Trillion Stablecoin Question

The core dispute centers on a seemingly technical provision: whether crypto platforms can offer yields on stablecoins. But the stakes are existential for both sides.

Armstrong's position: Banks are using legislative influence to ban competitive products that threaten their deposit base. Stablecoin yields—essentially high-interest accounts built on blockchain infrastructure—offer consumers better returns than traditional savings accounts while operating 24/7 with instant settlement.

The banks' counterargument: Stablecoin yield products should face the same regulatory requirements as deposit accounts, including reserve requirements, FDIC insurance, and capital adequacy rules. Allowing crypto platforms to bypass these protections creates systemic risk.

The numbers explain the intensity. Armstrong noted in January 2026 that traditional banks now view crypto as an "existential threat to their business." With stablecoin circulation approaching $200 billion and growing rapidly, even a 5% migration of U.S. bank deposits (currently $17.5 trillion) would represent nearly $900 billion in lost deposits—and the fee income that comes with them.

The draft CLARITY Act released January 12, 2026, prohibited digital asset platforms from paying interest on stablecoin balances while allowing banks to do exactly that. Armstrong called this "regulatory capture to ban their competition," arguing banks should "compete on a level playing field" rather than legislate away competition.

Regulatory Capture or Consumer Protection?

Armstrong's accusations of regulatory capture struck a nerve because they highlighted uncomfortable truths about how financial regulation often works in practice.

Speaking on Fox Business on January 16, 2026, Armstrong framed his opposition in stark terms: "It just felt deeply unfair to me that one industry [banks] would come in and get to do regulatory capture to ban their competition."

His specific complaints about the CLARITY Act draft included:

  1. De facto ban on tokenized equities – Provisions that would prevent blockchain-based versions of traditional securities
  2. DeFi restrictions – Ambiguous language that could require decentralized protocols to register as intermediaries
  3. Stablecoin yield prohibition – The explicit ban on rewards for holding stablecoins, while banks retain this ability

The regulatory capture argument resonates beyond crypto circles. Economic research consistently shows that established players exert outsized influence over rules governing their industries, often to the detriment of new entrants. The revolving door between regulatory agencies and the financial institutions they regulate is well-documented.

But banks counter that Armstrong's framing misrepresents consumer protection imperatives. Deposit insurance, capital requirements, and regulatory oversight exist because banking system failures create systemic cascades that wreck economies. The 2008 financial crisis remains fresh enough in memory to justify caution about lightly-regulated financial intermediaries.

The question becomes: Are crypto platforms offering truly decentralized alternatives that don't require traditional banking oversight, or are they centralized intermediaries that should face the same rules as banks?

The Centralization Paradox

Here's where Armstrong's position gets complicated: Coinbase itself embodies the tension between crypto's decentralization ideals and the practical reality of centralized exchanges.

As of February 2026, Coinbase holds billions in customer assets, operates as a regulated intermediary, and functions much like a traditional financial institution in its custody and transaction settlement. When Armstrong argues against bank-like regulation, critics note that Coinbase looks remarkably bank-like in its operational model.

This paradox is playing out across the industry:

Centralized exchanges (CEXs) like Coinbase, Binance, and Kraken still dominate trading volume, offering the liquidity, speed, and fiat on-ramps that most users need. As of 2026, CEXs process the vast majority of crypto transactions despite persistent custody risks and regulatory vulnerabilities.

Decentralized exchanges (DEXs) have matured significantly, with platforms like Uniswap, Hyperliquid, and dYdX processing billions in daily volume without intermediaries. But they struggle with user experience friction, liquidity fragmentation, and gas fees that make them impractical for many use cases.

The debate about exchange decentralization isn't academic—it's central to whether crypto achieves its founding promise of disintermediation or simply recreates traditional finance with blockchain plumbing.

If Armstrong is Wall Street's enemy, it's partly because Coinbase occupies the uncomfortable middle ground: centralized enough to threaten traditional banks' deposit and transaction processing businesses, but not decentralized enough to escape the regulatory scrutiny that comes with holding customer assets.

What the Fight Means for Crypto's Architecture

The Armstrong-Dimon showdown at Davos will be remembered as a pivotal moment because it made explicit what had been implicit: the maturation of crypto means direct competition with traditional finance for the same customers, the same assets, and ultimately, the same regulatory framework.

Three outcomes are possible:

1. Traditional Finance Wins Legislative Protection

If the CLARITY Act passes with provisions favorable to banks—prohibiting stablecoin yields for crypto platforms while allowing them for banks—it could cement a two-tier system. Banks would retain their deposit monopolies with high-yield products, while crypto platforms become settlement rails without direct consumer relationships.

This outcome would be a pyrrhic victory for decentralization. Crypto infrastructure might power back-end systems (as JPMorgan's Canton Network and other enterprise blockchain projects already do), but the consumer-facing layer would remain dominated by traditional institutions.

2. Crypto Wins the Competition on Merits

The alternative is that legislative efforts to protect banks fail, and crypto platforms prove superior on user experience, yields, and innovation. This is Armstrong's preferred outcome: "positive-sum capitalism" where competition drives improvements.

Early evidence suggests this is happening. Stablecoins already dominate cross-border payments in many corridors, offering near-instant settlement at a fraction of SWIFT's cost and time. Crypto platforms offer 24/7 trading, programmable assets, and yields that traditional banks struggle to match.

But this path faces significant headwinds. Banking lobbying power is formidable, and regulatory agencies have shown reluctance to allow crypto platforms to operate with the freedom they desire. The collapse of FTX and other centralized platforms in 2022-2023 gave regulators ammunition to argue for stricter oversight.

3. Convergence Creates New Hybrids

The most likely outcome is messy convergence. Traditional banks launch blockchain-based products (several already have stablecoin projects). Crypto platforms become increasingly regulated and bank-like. New hybrid models—"Universal Exchanges" that blend centralized and decentralized features—emerge to serve different use cases.

We're already seeing this. Bank of America, Citigroup, and others have blockchain initiatives. Coinbase offers institutional custody that looks indistinguishable from traditional prime brokerage. DeFi protocols integrate with traditional finance through regulated on-ramps.

The question isn't whether crypto or banks "win," but whether the resulting hybrid system is more open, efficient, and innovative than what we have today—or simply new bottles for old wine.

The Broader Implications

Armstrong's transformation into Wall Street's arch-nemesis matters because it signals crypto's transition from speculative asset class to infrastructure competition.

When Coinbase went public in 2021, it was still possible to view crypto as orthogonal to traditional finance—a separate ecosystem with its own rules and participants. By 2026, that illusion is shattered. The same customers, the same capital, and increasingly, the same regulatory framework applies to both worlds.

The banks' cold shoulder in Davos wasn't just about stablecoin yields. It was recognition that crypto platforms now compete directly for:

  • Deposits and savings accounts (stablecoin balances vs. checking/savings)
  • Payment processing (blockchain settlement vs. card networks)
  • Asset custody (crypto wallets vs. brokerage accounts)
  • Trading infrastructure (DEXs and CEXs vs. stock exchanges)
  • International transfers (stablecoins vs. correspondent banking)

Each of these represents billions in annual fees for traditional financial institutions. The existential threat Armstrong represents isn't ideological—it's financial.

What's Next: The CLARITY Act Showdown

The Senate Banking Committee has delayed markup sessions for the CLARITY Act as the Armstrong-banks standoff continues. Lawmakers initially set an "aggressive" goal to finish legislation by end of Q1 2026, but that timeline now looks optimistic.

Armstrong has made clear Coinbase cannot support the bill "as written." The broader crypto industry is split—some companies, including a16z-backed firms, support compromise versions, while others side with Coinbase's harder line against perceived regulatory capture.

Behind closed doors, intensive lobbying continues from both sides. Banks argue for consumer protection and level playing fields (from their perspective). Crypto firms argue for innovation and competition. Regulators try to balance these competing pressures while managing systemic risk concerns.

The outcome will likely determine:

  • Whether stablecoin yields become mainstream consumer products
  • How quickly traditional banks face blockchain-native competition
  • Whether decentralized alternatives can scale beyond crypto-native users
  • How much of crypto's trillion-dollar market cap flows into DeFi versus CeFi

Conclusion: A Battle for Crypto's Soul

The image of Jamie Dimon confronting Brian Armstrong at Davos is memorable because it dramatizes a conflict that defines crypto's present moment: Are we building truly decentralized alternatives to traditional finance, or just new intermediaries?

Armstrong's position as Wall Street's "Enemy No. 1" stems from embodying this contradiction. Coinbase is centralized enough to threaten banks' business models but decentralized enough (in rhetoric and roadmap) to resist traditional regulatory frameworks. The company's $2.9 billion acquisition of Deribit in early 2026 shows it's betting on derivatives and institutional products—decidedly bank-like businesses.

For crypto builders and investors, the Armstrong-banks showdown matters because it will shape the regulatory environment for the next decade. Restrictive legislation could freeze innovation in the United States (while pushing it to more permissive jurisdictions). Overly lax oversight could enable the kind of systemic risks that invite eventual crackdowns.

The optimal outcome—regulations that protect consumers without entrenching incumbents—requires threading a needle that financial regulators have historically struggled to thread. Whether Armstrong's regulatory capture accusations are vindicated or dismissed, the fight itself demonstrates that crypto has graduated from experimental technology to serious infrastructure competition.

BlockEden.xyz provides enterprise-grade blockchain API infrastructure designed for regulatory compliance and institutional standards. Explore our services to build on foundations that can navigate this evolving landscape.


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Consensys IPO 2026: How MetaMask's Wall Street Debut Will Reshape Ethereum Infrastructure Investment

· 13 min read
Dora Noda
Software Engineer

The walls separating crypto natives from traditional finance are about to get a lot thinner. Consensys, the software powerhouse behind MetaMask and Infura, has tapped JPMorgan Chase and Goldman Sachs to lead what could become 2026's most significant blockchain IPO. This isn't just another tech company going public—it's Wall Street getting direct equity exposure to Ethereum's core infrastructure, and the implications ripple far beyond a single stock ticker.

For a decade, Consensys operated in the shadows of crypto's infrastructure layer, the unsexy but essential plumbing that powers millions of daily blockchain interactions. Now, with MetaMask's 30 million monthly active users and Infura processing over 10 billion API requests daily, the company is preparing to transform from a venture-backed crypto pioneer into a publicly traded entity valued at potentially over $10 billion.

From Ethereum Co-Founder to Public Markets

Founded in 2014 by Joseph Lubin, one of Ethereum's original co-founders, Consensys has spent over a decade building the invisible infrastructure layer of Web3. While retail investors chased memecoins and DeFi yields, Consensys quietly constructed the tools that made those activities possible.

The company's last funding round in March 2022 raised $450 million at a $7 billion post-money valuation, led by ParaFi Capital. But secondary market trading suggests current valuations have already exceeded $10 billion—a premium that reflects both the company's market dominance and the strategic timing of its public debut.

The decision to work with JPMorgan and Goldman Sachs isn't merely symbolic. These Wall Street titans bring credibility with institutional investors who remain skeptical of crypto but understand infrastructure plays. JPMorgan has deep blockchain experience through its Onyx division and Canton Network, while Goldman has quietly built a digital assets platform serving institutional clients.

MetaMask: The Browser of Web3

MetaMask isn't just a wallet—it's become the de facto gateway to Ethereum and the broader Web3 ecosystem. With over 30 million monthly active users as of mid-2025, up 55% in just four months from 19 million in September 2024, MetaMask has achieved what few crypto products can claim: genuine product-market fit beyond speculation.

The numbers tell the story of Web3's global reach. Nigeria alone accounts for 12.7% of MetaMask's user base, while the wallet now supports 11 blockchains including recent additions like Sei Network. This isn't a single-chain play—it's infrastructure for a multi-chain future.

Recent product developments hint at Consensys's monetization strategy ahead of the IPO. Joseph Lubin confirmed that a native MASK token is in development, alongside plans to introduce perpetual futures trading within the wallet and a rewards program for users. These moves suggest Consensys is preparing multiple revenue streams to justify public market valuations.

But MetaMask's real value lies in its network effects. Every dApp developer defaults to MetaMask compatibility. Every new blockchain wants MetaMask integration. The wallet has become Web3's Chrome browser—ubiquitous, essential, and nearly impossible to displace without extraordinary effort.

Infura: The Invisible Infrastructure Layer

While MetaMask gets the headlines, Infura represents Consensys's most critical asset for institutional investors. The Ethereum API infrastructure service supports 430,000 developers and processes over $1 trillion in annualized on-chain ETH transaction volume.

Here's the stunning reality: 80-90% of the entire crypto ecosystem relies on Infura's infrastructure, including MetaMask itself. When Infura experienced an outage in November 2020, major exchanges including Binance and Bithumb were forced to halt Ethereum withdrawals. This single point of failure became a single point of value—the company that keeps Infura running essentially keeps Ethereum accessible.

Infura handles over 10 billion API requests per day, providing the node infrastructure that most projects can't afford to run themselves. Spinning up and maintaining Ethereum nodes requires technical expertise, constant monitoring, and significant capital expenditure. Infura abstracts all of this complexity away, letting developers focus on building applications rather than maintaining infrastructure.

For traditional investors evaluating the IPO, Infura is the asset that most resembles a traditional SaaS business. It has predictable enterprise contracts, usage-based pricing, and a sticky customer base that literally can't function without it. This is the "boring" infrastructure that Wall Street understands.

Linea: The Layer 2 Wild Card

Consensys also operates Linea, a Layer 2 scaling network built on Ethereum. While less mature than MetaMask or Infura, Linea represents the company's bet on Ethereum's scaling roadmap and positions Consensys to capture value from the L2 economy.

Layer 2 networks have become critical to Ethereum's usability, processing thousands of transactions per second at a fraction of mainnet costs. Base, Arbitrum, and Optimism collectively handle over 90% of Layer 2 transaction volume—but Linea has strategic advantages through its integration with MetaMask and Infura.

Every MetaMask user is a potential Linea user. Every Infura customer is a natural Linea developer. This vertical integration gives Consensys distribution advantages that independent L2 networks lack, though execution remains key in a crowded field.

The Regulatory Green Light

Timing matters in finance, and Consensys chose its moment carefully. The SEC's decision to drop its enforcement case against the company in early 2025 removed the single largest obstacle to a public listing.

The SEC had sued Consensys in June 2024, alleging that MetaMask's staking services—which offered liquid staking through Lido and Rocket Pool since January 2023—constituted unregistered securities offerings. The case dragged on for eight months before the agency agreed to dismiss it following leadership changes at the SEC under Commissioner Mark Uyeda.

This settlement did more than clear a legal hurdle. It established a regulatory precedent that wallet-based staking services, when properly structured, don't automatically trigger securities laws. For MetaMask's user base and Consensys's IPO prospects, this clarity was worth the legal costs.

The broader regulatory environment has shifted as well. The GENIUS Act's progress toward stablecoin regulation, the CFTC's expanding role in digital asset oversight, and the SEC's more measured approach under new leadership have created a window for crypto companies to enter public markets without constant regulatory risk.

Why TradFi Wants Ethereum Exposure

Bitcoin ETFs have captured the most attention, surpassing $123 billion in assets under management with BlackRock's IBIT alone holding over $70 billion. Ethereum ETFs have followed, though with less fanfare. But both products face a fundamental limitation: they provide exposure to tokens, not the businesses building on the protocols.

This is where Consensys's IPO becomes strategically important. Traditional investors can now access Ethereum ecosystem growth through equity rather than token ownership. No custody headaches. No private key management. No explaining to compliance why you hold cryptocurrency. Just shares in a company with revenue, employees, and recognizable metrics.

For institutional investors who face internal restrictions on direct crypto holdings, Consensys stock offers a proxy for Ethereum's success. As Ethereum processes more transactions, more developers use Infura. As Web3 adoption grows, more users download MetaMask. The company's revenue should theoretically correlate with network activity without the token price volatility.

This equity-based exposure matters especially for pension funds, insurance companies, and other institutional players with strict mandates against cryptocurrency holdings but appetite for growth in digital asset infrastructure.

The Crypto IPO Wave of 2026

Consensys isn't alone in eyeing public markets. Circle, Kraken, and hardware wallet maker Ledger have all signaled IPO plans, creating what some analysts call the "great crypto institutionalization" of 2026.

Ledger is reportedly pursuing a $4 billion valuation in a New York listing. Circle, the issuer of USDC stablecoin, previously filed for a SPAC merger that fell apart but remains committed to going public. Kraken, after acquiring NinjaTrader for $1.5 billion, has positioned itself as a full-stack financial platform ready for public markets.

But Consensys holds unique advantages. MetaMask's consumer brand recognition dwarfs that of enterprise-focused competitors. Infura's infrastructure lock-in creates predictable revenue streams. And the Ethereum connection—through Lubin's co-founder status and the company's decade of ecosystem building—gives Consensys a narrative that resonates beyond crypto circles.

The timing also reflects crypto's maturation cycle. Bitcoin's four-year halving pattern may be dead, as Bernstein and Pantera Capital argue, replaced by continuous institutional flows and stablecoin adoption. In this new regime, infrastructure companies with durable business models attract capital while speculative token projects struggle.

Valuation Questions and Revenue Reality

The elephant in the IPO roadshow will be revenue and profitability. Consensys has remained private about its financials, but industry estimates suggest the company generates hundreds of millions in annual revenue primarily from Infura's enterprise contracts and MetaMask's transaction fees.

MetaMask monetizes through token swaps—taking a small percentage of every swap executed through the wallet's built-in exchange aggregator. With millions of monthly active users and increasing transaction volumes, this passive revenue stream scales automatically.

Infura operates on a freemium model: free tiers for developers getting started, paid tiers for production applications, and custom enterprise contracts for major projects. The sticky nature of infrastructure means high gross margins once customers integrate—switching infrastructure providers mid-project is costly and risky.

But questions remain. How does Consensys's valuation compare to traditional SaaS companies with similar revenue multiples? What happens if Ethereum loses market share to Solana, which has captured institutional interest with its performance advantages? Can MetaMask maintain dominance as competition from Coinbase Wallet, Phantom, and others intensifies?

Secondary market valuations above $10 billion suggest investors are pricing in substantial growth. The IPO will force Consensys to justify these numbers with hard data, not crypto-native enthusiasm.

What This Means for Blockchain Infrastructure

If Consensys's IPO succeeds, it validates a business model that much of crypto has struggled to prove: building sustainable, profitable infrastructure companies on public blockchains. For too long, crypto businesses have existed in a gray zone—too experimental for traditional venture capitalists, too centralized for crypto purists.

Public markets demand transparency, predictable revenue, and governance standards. A successful Consensys IPO would demonstrate that blockchain infrastructure companies can meet these standards while still delivering on Web3's promises.

This matters for the entire ecosystem. BlockEden.xyz and other infrastructure providers compete in a market where customers often default to free tiers or question whether blockchain APIs justify premium pricing. A publicly traded Consensys with disclosed margins and growth rates would establish benchmarks for the industry.

More importantly, it would attract capital and talent. Developers and executives considering blockchain careers will look to Consensys's stock performance as a signal. Venture capitalists evaluating infrastructure startups will use Consensys's valuation multiples as comps. Public market validation creates network effects throughout the industry.

The Road to Mid-2026

The IPO timeline points to a mid-2026 listing, though exact dates remain fluid. Consensys will need to finalize its financials, complete regulatory filings, conduct roadshows, and navigate whatever market conditions prevail when the offering launches.

Current market dynamics are mixed. Bitcoin recently crashed from a $126,000 all-time high to $74,000 following Trump's tariff policies and Kevin Warsh's Fed nomination, triggering over $2.56 billion in liquidations. Ethereum has struggled to capture the narrative against Solana's performance advantages and institutional pivot.

But infrastructure plays often perform differently than token markets. Investors evaluating Consensys won't be making bets on ETH's price movement—they'll be assessing whether Web3 adoption continues regardless of which Layer 1 wins market share. MetaMask supports 11 chains. Infura increasingly serves multi-chain developers. The company has positioned itself as chain-agnostic infrastructure.

The choice of JPMorgan and Goldman as lead underwriters suggests Consensys expects strong institutional demand. These banks wouldn't commit resources to an offering they doubted could attract meaningful capital. Their involvement also brings distribution networks reaching pension funds, sovereign wealth funds, and family offices that rarely touch crypto directly.

Beyond the Ticker Symbol

When Consensys begins trading under whatever symbol it chooses, the implications extend beyond a single company's success. This is a test of whether blockchain infrastructure can transition from venture-backed experimentation to publicly traded permanence.

For Ethereum, it's validation that the ecosystem can generate billion-dollar businesses beyond token speculation. For crypto broadly, it's proof that the industry is maturing beyond boom-bust cycles into sustainable business models. And for Web3 developers, it's a signal that building infrastructure—the unglamorous plumbing behind flashy dApps—can create generational wealth.

The IPO also forces difficult questions about decentralization. Can a company that controls so much of Ethereum's user access and infrastructure truly align with crypto's decentralized ethos? MetaMask's dominance and Infura's centralized nodes represent single points of failure in a system designed to eliminate them.

These tensions won't resolve before the IPO, but they'll become more visible once Consensys reports to shareholders and faces quarterly earnings pressures. Public companies optimize for growth and profitability, sometimes at odds with protocol-level decentralization.

The Verdict: Infrastructure Becomes Investable

Consensys's IPO represents more than one company's journey from crypto startup to public markets. It's the moment when blockchain infrastructure transforms from speculative technology into investable assets that traditional finance can understand, value, and incorporate into portfolios.

JPMorgan and Goldman Sachs don't lead offerings they expect to fail. The $10+ billion valuation reflects genuine belief that MetaMask's user base, Infura's infrastructure dominance, and Ethereum's ongoing adoption create durable value. Whether that belief proves correct will depend on execution, market conditions, and the continued growth of Web3 beyond hype cycles.

For developers building on Ethereum, the IPO provides validation. For investors seeking exposure beyond token volatility, it offers a vehicle. And for the blockchain industry broadly, it marks another step toward legitimacy in the eyes of traditional finance.

The question isn't whether Consensys will go public—that appears decided. The question is whether its public market performance will encourage or discourage the next generation of blockchain infrastructure companies to follow the same path.

Building reliable blockchain infrastructure requires more than just code—it demands the kind of robust, scalable architecture that enterprises trust. BlockEden.xyz provides enterprise-grade node infrastructure for developers building on Ethereum, Sui, Aptos, and other leading chains, with the reliability and performance that production applications require.

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Eight Implementations in 24 Hours: How ERC-8004 and BAP-578 Are Creating the AI Agent Economy

· 12 min read
Dora Noda
Software Engineer

On August 15, 2025, the Ethereum Foundation launched ERC-8004, a standard for trustless AI agent identity. Within 24 hours, the announcement sparked over 10,000 social media mentions and eight independent technical implementations—a level of adoption that took months for ERC-20 and half a year for ERC-721. Six months later, as ERC-8004 hit Ethereum mainnet in January 2026 with over 24,000 registered agents, BNB Chain announced complementary support with BAP-578, a standard that transforms AI agents into tradeable on-chain assets.

The convergence of these standards represents more than incremental progress in blockchain infrastructure. It signals the arrival of the AI agent economy—where autonomous digital entities need verifiable identity, portable reputation, and ownership guarantees to operate across platforms, transact independently, and create economic value.

The Trust Problem AI Agents Can't Solve Alone

Autonomous AI agents are proliferating. From executing DeFi strategies to managing supply chains, AI agents already contribute 30% of trading volume on prediction markets like Polymarket. But cross-platform coordination faces a fundamental barrier: trust.

When an AI agent from platform A wants to interact with a service on platform B, how does platform B verify the agent's identity, past behavior, or authorization to perform specific actions? Traditional solutions rely on centralized intermediaries or proprietary reputation systems that don't transfer across ecosystems. An agent that has built reputation on one platform starts from zero on another.

This is where ERC-8004 enters. Proposed on August 13, 2025, by Marco De Rossi (MetaMask), Davide Crapis (Ethereum Foundation), Jordan Ellis (Google), and Erik Reppel (Coinbase), ERC-8004 establishes three lightweight on-chain registries:

  • Identity Registry: Stores agent credentials, skills, and endpoints as ERC-721 tokens, giving each agent a unique, portable blockchain identity
  • Reputation Registry: Maintains an immutable record of feedback and performance history
  • Validation Registry: Records cryptographic proof that the agent's work was completed correctly

The standard's technical elegance lies in what it doesn't do. ERC-8004 avoids prescribing application-specific logic, leaving complex decision-making to off-chain components while anchoring trust primitives on-chain. This method-agnostic architecture allows developers to implement diverse validation methods—from zero-knowledge proofs to oracle attestations—without modifying the core standard.

Eight Implementations in One Day: Why ERC-8004 Exploded

The 24-hour adoption surge wasn't just hype. Historical context reveals why:

  • ERC-20 (2015): The fungible token standard took months to see its first implementations and years to achieve widespread adoption
  • ERC-721 (2017): NFTs only exploded in the market six months after the standard's release, catalyzed by CryptoKitties
  • ERC-8004 (2025): Eight independent implementations on the same day of the announcement

What changed? The AI agent economy was already boiling. By mid-2025, 282 crypto×AI projects had received funding, enterprise AI agent deployment was accelerating toward a projected $450 billion economic value by 2028, and major players—Google, Coinbase, PayPal—had already released complementary infrastructure like Google's Agent Payments Protocol (AP2) and Coinbase's x402 payment standard.

ERC-8004 wasn't creating demand; it was unlocking latent infrastructure that developers were desperate to build. The standard provided the missing trust layer that protocols like Google's A2A (Agent-to-Agent communication spec) and payment rails needed to function securely across organizational boundaries.

By January 29, 2026, when ERC-8004 went live on Ethereum mainnet, the ecosystem had already registered over 24,000 agents. The standard expanded deployment to major Layer 2 networks, and the Ethereum Foundation's dAI team incorporated ERC-8004 into their 2026 roadmap, positioning Ethereum as a global settlement layer for AI.

BAP-578: When AI Agents Become Assets

While ERC-8004 solved the identity and trust problem, BNB Chain's February 2026 announcement of BAP-578 introduced a new paradigm: Non-Fungible Agents (NFAs).

BAP-578 defines AI agents as on-chain assets that can hold assets, execute logic, interact with protocols, and be bought, sold, or leased. This transforms AI from "a service you rent" into "an asset you own—one that appreciates through use."

Technical Architecture: Learning That Lives On-Chain

NFAs employ a cryptographically verifiable learning architecture using Merkle trees. When users interact with an NFA, learning data—preferences, patterns, confidence scores, outcomes—is organized into a hierarchical structure:

  1. Interaction: User engages with the agent
  2. Learning extraction: Data is processed and patterns identified
  3. Tree building: Learning data is structured into a Merkle tree
  4. Merkle root calculation: A 32-byte hash summarizes the entire learning state
  5. On-chain update: Only the Merkle root is stored on-chain

This design achieves three critical objectives:

  • Privacy: Raw interaction data stays off-chain; only the cryptographic commitment is public
  • Efficiency: Storing a 32-byte hash instead of gigabytes of training data minimizes gas costs
  • Verifiability: Anyone can verify the agent's learning state by comparing Merkle roots without accessing private data

The standard extends ERC-721 with optional learning capabilities, allowing developers to choose between static agents (conventional NFTs) and adaptive agents (AI-enabled NFAs). The flexible learning module supports various AI optimization methods—Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), fine-tuning, reinforcement learning, or hybrid approaches.

The Tradeable Intelligence Market

NFAs create unprecedented economic primitives. Instead of paying monthly subscriptions for AI services, users can:

  • Own specialized agents: Purchase an NFA trained in DeFi yield optimization, legal contract analysis, or supply chain management
  • Lease agent capacity: Rent out idle agent capacity to other users, creating passive income streams
  • Trade appreciating assets: As an agent accumulates learning and reputation, its market value increases
  • Compose agent teams: Combine multiple NFAs with complementary skills for complex workflows

This unlocks new business models. Imagine a DeFi protocol that owns a portfolio of yield-optimizing NFAs, each specializing in different chains or strategies. Or a logistics company that leases specialized routing NFAs during peak seasons. The "Non-Fungible Agent Economy" transforms cognitive capabilities into tradeable capital.

The Convergence: ERC-8004 + BAP-578 in Practice

The power of these standards becomes clear when combined:

  1. Identity (ERC-8004): An NFA is registered with verifiable credentials, skills, and endpoints
  2. Reputation (ERC-8004): As the NFA performs tasks, its reputation registry accumulates immutable feedback
  3. Validation (ERC-8004): Cryptographic proofs confirm the NFA's work was completed correctly
  4. Learning (BAP-578): The NFA's Merkle root updates as it accumulates experience, making its learning state auditable
  5. Ownership (BAP-578): The NFA can be transferred, leased, or used as collateral in DeFi protocols

This creates a virtuous cycle. An NFA that consistently delivers high-quality work builds reputation (ERC-8004), which increases its market value (BAP-578). Users who own high-reputation NFAs can monetize their assets, while buyers gain access to proven capabilities.

Ecosystem Adoption: From MetaMask to BNB Chain

The rapid standardization across ecosystems reveals strategic alignment:

Ethereum's Play: Settlement Layer for AI

The Ethereum Foundation's dAI team is positioning Ethereum as the global settlement layer for AI transactions. With ERC-8004 deployed on mainnet and expanding to major L2s, Ethereum becomes the trust infrastructure where agents register identity, build reputation, and settle high-value interactions.

BNB Chain's Play: Application Layer for NFAs

BNB Chain's support for both ERC-8004 (identity/reputation) and BAP-578 (NFAs) positions it as the application layer where users discover, purchase, and deploy AI agents. BNB Chain also introduced BNB Application Proposals (BAPs), a governance framework focused on application-layer standards, signaling intent to own the user-facing agent marketplace.

MetaMask, Google, Coinbase: Wallet and Payment Rails

The involvement of MetaMask (identity), Google (A2A communication and AP2 payments), and Coinbase (x402 payments) ensures seamless integration between agent identity, discovery, communication, and settlement. These companies are building the full-stack infrastructure for agent economies:

  • MetaMask: Wallet infrastructure for agents to hold assets and execute transactions
  • Google: Agent-to-agent communication (A2A) and payment coordination (AP2)
  • Coinbase: x402 protocol for instant stablecoin micropayments between agents

When VIRTUAL integrated Coinbase's x402 in late October 2025, the protocol saw weekly transactions surge from under 5,000 to over 25,000 in four days—a 400% increase demonstrating pent-up demand for agent payment infrastructure.

The $450B Question: What Happens Next?

As enterprise AI agent deployment accelerates toward $450 billion in economic value by 2028, the infrastructure these standards enable will be tested at scale. Several open questions remain:

Can Reputation Systems Resist Manipulation?

On-chain reputation is immutable, but it's also gameable. What prevents Sybil attacks where malicious actors create multiple agent identities to inflate reputation scores? Early implementations will need robust validation mechanisms—perhaps leveraging zero-knowledge proofs to verify work quality without revealing sensitive data, or requiring staked collateral that's slashed for malicious behavior.

How Will Regulation Treat Autonomous Agents?

When an NFA executes a financial transaction that violates securities law, who is liable—the NFA owner, the developer, or the protocol? Regulatory frameworks lag behind technological capabilities. As NFAs become economically significant, policymakers will need to address questions of agency, liability, and consumer protection.

Will Interoperability Deliver on Its Promise?

ERC-8004 and BAP-578 are designed for portability, but practical interoperability requires more than technical standards. Will platforms genuinely allow agents to migrate reputation and learning data, or will competitive dynamics create walled gardens? The answer will determine whether the AI agent economy becomes truly decentralized or fragments into proprietary ecosystems.

What About Privacy and Data Ownership?

NFAs learn from user interactions. Who owns that learning data? BAP-578's Merkle tree architecture preserves privacy by keeping raw data off-chain, but the economic incentives around data ownership remain murky. Clear frameworks for data rights and consent will be essential as NFAs become more sophisticated.

Building on the Foundation

For developers and infrastructure providers, the convergence of ERC-8004 and BAP-578 creates immediate opportunities:

Agent marketplaces: Platforms where users discover, purchase, and lease NFAs with verified reputation and learning histories

Specialized agent training: Services that train NFAs in specific domains (legal, DeFi, logistics) and sell them as appreciating assets

Reputation oracles: Protocols that aggregate on-chain reputation data to provide trust scores for agents across platforms

DeFi for agents: Lending protocols where NFAs serve as collateral, insurance products covering agent failures, or derivative markets trading agent performance

The infrastructure gaps are also clear. Agents need better wallet solutions, more efficient cross-chain communication, and standardized frameworks for auditing learning data. The projects that solve these problems early will capture outsized value as the agent economy scales.

BlockEden.xyz provides enterprise-grade blockchain infrastructure powering AI agent deployments across Ethereum, BNB Chain, and 20+ networks. Explore our API services to build agent-first applications on foundations designed for autonomous coordination.

Conclusion: The Cambrian Explosion of Cognitive Assets

Eight implementations in 24 hours. Over 24,000 agents registered in six months. Standards backed by Ethereum Foundation, MetaMask, Google, and Coinbase. The AI agent economy isn't a future narrative—it's infrastructure being deployed today.

ERC-8004 and BAP-578 represent more than technical standards. They're the foundation for a new asset class: cognitive capabilities that are ownable, tradeable, and appreciating. As AI agents move from experimental tools to economic actors, the question isn't whether blockchain will be part of that transition—it's which blockchains will own the infrastructure layer.

The race is already underway. Ethereum is positioning itself as the settlement layer. BNB Chain is building the application layer. And the developers building on these standards today are defining how humans and autonomous agents will coordinate in a $450 billion economy.

The agents are already here. The infrastructure is going live. The only question left is: are you building for them?


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Initia's Omnichain Gambit: How Binance-Backed L1 Is Solving the 0-to-1 Rollup Problem

· 14 min read
Dora Noda
Software Engineer

Most blockchain infrastructure projects fail not because of bad technology, but because they solve the wrong problem. Developers don't need another generic L1 or yet another EVM rollup template. They need infrastructure that makes launching application-specific chains as easy as deploying a smart contract—while preserving the composability and liquidity of a unified ecosystem.

This is the 0-to-1 rollup problem: how do you go from concept to production-ready blockchain without assembling validator sets, fragmenting liquidity across isolated chains, or forcing users to bridge assets through a maze of incompatible ecosystems?

Initia's answer is audacious. Instead of building another isolated blockchain, the Binance Labs-backed project is constructing an orchestration layer that lets developers launch EVM, MoveVM, or WasmVM rollups as "Minitias"—interwoven L2s that share security, liquidity, and interoperability from day one. With 10,000+ TPS, 500ms block times, and a 50 million token airdrop launching before mainnet, Initia is betting that the future of blockchain isn't choosing between monolithic and modular—it's making modularity feel like a unified experience.

The Modular Blockchain Fragmentation Crisis

The modular blockchain thesis promised specialization: separate execution, data availability, and consensus into distinct layers, allowing each to optimize independently. Celestia handles data availability. Ethereum becomes a settlement layer. Rollups compete on execution efficiency.

The reality? Fragmentation chaos.

As of early 2026, there are 75+ Bitcoin L2s, 150+ Ethereum L2s, and hundreds of Cosmos app-chains. Each new chain requires:

  • Validator coordination: Recruiting and incentivizing a secure validator set
  • Liquidity bootstrapping: Convincing users and protocols to move assets onto yet another chain
  • Bridge infrastructure: Building or integrating cross-chain messaging protocols
  • User onboarding: Teaching users how to manage wallets, gas tokens, and bridge mechanics across incompatible ecosystems

The result is what Vitalik Buterin calls "the rollup fragmentation problem": applications are isolated, liquidity is scattered, and users face nightmarish UX navigating 20+ chains to access simple DeFi workflows.

Initia's thesis is that fragmentation isn't an inevitable cost of modularity—it's a coordination failure.

The 0-to-1 Rollup Problem: Why App-Chains Are Too Hard

Consider the journey of building an application-specific blockchain today:

Option 1: Launch a Cosmos App-Chain

Cosmos SDK gives you customizability and sovereignty. But you need to:

  • Recruit a validator set (expensive and time-consuming)
  • Bootstrap token liquidity from zero
  • Integrate IBC manually for cross-chain communication
  • Compete for attention in a crowded Cosmos ecosystem

Projects like Osmosis, dYdX v4, and Hyperliquid succeeded, but they're exceptional. Most teams lack the resources and reputation to pull this off.

Option 2: Deploy an Ethereum L2

Ethereum's rollup frameworks (OP Stack, Arbitrum Orbit, ZK Stack) simplify deployment, but:

  • You inherit Ethereum's execution environment (EVM-only)
  • Shared sequencers and interoperability standards are still experimental
  • Liquidity fragmentation remains—each new L2 starts with empty liquidity pools
  • You compete with Base, Arbitrum, and Optimism for developer and user attention

Option 3: Build on an Existing Chain

The easiest path is deploying a dApp on an existing L1 or L2. But you sacrifice:

  • Customization: You're constrained by the host chain's VM, gas model, and governance
  • Revenue: Transaction fees flow to the base layer, not your application
  • Sovereignty: Your application can be censored or throttled by the host chain

This is the 0-to-1 problem. Teams that want customizability and sovereignty face prohibitive bootstrapping costs. Teams that want easy deployment sacrifice control and economics.

Initia's solution: give developers the customizability of app-chains with the integrated experience of deploying a smart contract.

Initia's Architecture: The Orchestration Layer

Initia isn't a monolithic blockchain or a generic rollup framework. It's a Cosmos SDK-based L1 that serves as an orchestration layer for application-specific L2s called Minitias.

Three-Layer Architecture

  1. Initia L1 (Orchestration Layer)

    • Coordinates security, routing, liquidity, and interoperability across Minitias
    • Validators stake INIT tokens to secure both L1 and all connected Minitias
    • Acts as a settlement layer for optimistic rollup fraud proofs
    • Provides shared economic security without requiring each Minitia to bootstrap its own validator set
  2. Minitias (Application-Specific L2s)

    • Customizable Cosmos SDK rollups that can use EVM, MoveVM, or WasmVM
    • Achieve 10,000+ TPS and 500ms block times (20x faster than Ethereum L2s)
    • Publish state commitments to Initia L1 and data to Celestia's DA layer
    • Retain full sovereignty over gas models, governance, and application logic
  3. Celestia DA Integration

    • Minitias post transaction data to Celestia for off-chain storage
    • Reduces data availability costs while maintaining fraud-proof security
    • Enables scalability without bloating the L1 state

The OPinit Stack: VM-Agnostic Optimistic Rollups

Initia's rollup framework, OPinit Stack, is built entirely with Cosmos SDK but supports multiple virtual machines. This means:

  • EVM Minitias can run Solidity smart contracts and inherit Ethereum tooling compatibility
  • MoveVM Minitias leverage Move's resource-oriented programming for safer asset handling
  • WasmVM Minitias offer flexibility for Rust-based applications

This is blockchain's first true multi-VM orchestration layer. Ethereum's rollups are EVM-only. Cosmos app-chains require separate validator sets for each chain. Initia gives you Cosmos-level customizability with Ethereum-level simplicity.

Interwoven Security: Shared Validators Without Full L2 Nodes

Unlike Cosmos's shared security model (which requires validators to run full nodes for every secured chain), Initia's optimistic rollup security is more efficient:

  • Validators on Initia L1 don't need to run full Minitia nodes
  • Instead, they verify state commitments and resolve fraud proofs if disputes arise
  • This reduces validator operational costs while maintaining security guarantees

The fraud-proof mechanism is simplified compared to Ethereum L2s:

  • If a Minitia submits an invalid state root, anyone can challenge it with a fraud proof
  • The L1 governance resolves disputes by re-executing transactions
  • Invalid state roots trigger rollbacks and slashing of the sequencer's staked INIT

Unified Liquidity and Interoperability: The Enshrined IBC Advantage

The breakthrough feature of Initia's architecture is enshrined IBC (Inter-Blockchain Communication) across Minitias.

How IBC Solves Cross-Chain Messaging

Traditional cross-chain bridges are fragile:

  • They rely on multisig committees or oracles that can be hacked or censored
  • Each bridge is a custom integration with unique trust assumptions
  • Users must manually bridge assets through multiple hops

IBC is Cosmos's native cross-chain messaging protocol—a light-client-based system where chains verify each other's state transitions cryptographically. It's the most battle-tested bridge protocol in blockchain, processing billions in cross-chain volume without major exploits.

Initia enshrines IBC at the L1 level, meaning:

  • All Minitias automatically inherit IBC connectivity to each other and to the broader Cosmos ecosystem
  • Assets can transfer seamlessly between EVM Minitias, MoveVM Minitias, and WasmVM Minitias without third-party bridges
  • Liquidity isn't fragmented—it flows natively across the entire Initia ecosystem

Cross-VM Asset Transfers: A First in Blockchain

Here's where Initia's multi-VM support becomes transformative. A user can:

  1. Deposit USDC into an EVM Minitia running a DeFi lending protocol
  2. Transfer that USDC via IBC to a MoveVM Minitia running a prediction market
  3. Move earnings to a WasmVM Minitia for a gaming application
  4. Bridge back to Ethereum or other Cosmos chains via IBC

All of this happens natively, without custom bridge contracts or wrapped tokens. This is cross-VM interoperability at the protocol level—something Ethereum's L2 ecosystem is still trying to achieve with experimental shared sequencers.

MoveVM + Cosmos IBC: The First Native Integration

One of Initia's most technically significant achievements is integrating MoveVM natively with Cosmos IBC. Move is a programming language designed for asset-centric blockchains, emphasizing resource ownership and formal verification. It powers Sui and Aptos, two of the fastest-growing L1s.

But Move-based chains have been isolated from the broader blockchain ecosystem—until now.

Initia's MoveVM integration means:

  • Move developers can build on Initia and access IBC liquidity from Cosmos, Ethereum, and beyond
  • Projects can leverage Move's safety guarantees for asset handling while composing with EVM and Wasm applications
  • This creates a competitive advantage: Initia becomes the first chain where Move, EVM, and Wasm developers can collaborate on the same liquidity layer

The 50 Million INIT Airdrop: Incentivizing Early Adoption

Initia's token distribution reflects lessons learned from Cosmos's struggles with chain fragmentation. The INIT token serves three purposes:

  1. Staking: Validators and delegators stake INIT to secure the L1 and all Minitias
  2. Governance: Token holders vote on protocol upgrades, parameter changes, and ecosystem funding
  3. Gas Fees: INIT is the native gas token for the L1; Minitias can choose their own gas tokens but must pay settlement fees in INIT

Airdrop Allocation

The airdrop distributes 50 million INIT (5% of the 1 billion total supply) across three categories:

  • 89.46% to testnet participants (rewarding early builders and testers)
  • 4.50% to partner ecosystem users (attracting Cosmos and Ethereum users)
  • 6.04% to social contributors (incentivizing community growth)

Claiming Window and Mainnet Timeline

The airdrop is claimable for 30 days after mainnet launch. Unclaimed tokens are forfeited, creating scarcity and rewarding active participants.

The tight claiming window signals confidence in rapid mainnet adoption—teams don't wait 30 days to claim airdrops unless they're uncertain about the network's viability.

Initia vs. Ethereum L2 Scaling: A Different Approach

Ethereum's L2 ecosystem is evolving toward similar goals—shared sequencers, cross-L2 messaging, and unified liquidity. But Initia's architecture differs fundamentally:

FeatureEthereum L2sInitia Minitias
VM SupportEVM-only (with experimental Wasm/Move efforts)Native EVM, MoveVM, WasmVM from day one
InteroperabilityCustom bridges or experimental shared sequencersEnshrined IBC at L1 level
LiquidityFragmented across isolated L2sUnified via IBC
Performance2-10s block times, 1,000-5,000 TPS500ms block times, 10,000+ TPS
SecurityEach L2 submits fraud/validity proofs to EthereumShared validator set via L1 staking
Data AvailabilityEIP-4844 blobs (limited capacity)Celestia DA (scalable off-chain)

Ethereum's approach is bottoms-up: L2s launch independently, and coordination layers (like ERC-7683 cross-chain intents) are added retroactively.

Initia's approach is tops-down: the orchestration layer exists from day one, and Minitias inherit interoperability by default.

Both models have trade-offs. Ethereum's permissionless L2 deployment maximizes decentralization and experimentation. Initia's coordinated architecture maximizes UX and composability.

The market will decide which matters more.

Binance Labs' Strategic Investment: What It Signals

Binance Labs' pre-seed investment in October 2023 (before Initia's public emergence) reflects strategic alignment. Binance has historically invested in infrastructure that complements its exchange ecosystem:

  • BNB Chain: The exchange's own L1 for DeFi and dApps
  • Polygon: Ethereum L2 scaling for mass adoption
  • 1inch, Injective, Dune: DeFi and data infrastructure that drives trading volume

Initia fits this pattern. If Minitias succeed in abstracting away blockchain complexity, they lower the barrier for consumer applications—games, social platforms, prediction markets—that drive retail trading volume.

The follow-on $7.5M seed round in February 2024, led by Delphi Ventures and Hack VC, validates this thesis. These VCs specialize in backing long-term infrastructure plays, not hype-driven token launches.

The 0-to-1 Use Case: What Developers Are Building

Several projects are already deploying Minitias on Initia's testnet. Key examples include:

Blackwing (Perpetual DEX)

A derivatives exchange that needs high throughput and low latency. Building as a Minitia allows Blackwing to:

  • Customize gas fees and block times for trading-specific workflows
  • Capture MEV revenue instead of losing it to the base layer
  • Access Initia's liquidity via IBC without bootstrapping its own

Tucana (NFT and Gaming Infrastructure)

Gaming applications need fast finality and cheap transactions. A dedicated Minitia lets Tucana optimize for these without competing for blockspace on a generalized L1.

Noble (Stablecoin Issuance Layer)

Noble is already a Cosmos chain issuing native USDC via Circle. Migrating to a Minitia preserves Noble's sovereignty while integrating with Initia's liquidity layer.

These aren't speculative projects—they're live applications solving real UX problems by deploying app-specific chains without the traditional coordination overhead.

The Risks: Can Initia Avoid Cosmos's Pitfalls?

Cosmos's app-chain thesis pioneered sovereignty and interoperability. But it fragmented liquidity and user attention across hundreds of incompatible chains. Initia's orchestration layer is designed to solve this, but several risks remain:

1. Validator Centralization

Initia's shared security model reduces Minitia operational costs, but it concentrates power in L1 validators. If a small set of validators controls both the L1 and all Minitias, censorship risk increases.

Mitigation: INIT staking must distribute broadly, and governance must remain credibly neutral.

2. Cross-VM Complexity

Bridging assets between EVM, MoveVM, and WasmVM environments introduces edge cases:

  • How do EVM contracts interact with Move resources?
  • What happens when a Wasm module references an asset on a different VM?

If IBC messaging fails or introduces bugs, the entire interwoven model breaks.

3. Adoption Chicken-and-Egg Problem

Minitias need liquidity to attract users. But liquidity providers need users to justify providing liquidity. If early Minitias fail to gain traction, the ecosystem risks becoming a ghost town of unused rollups.

4. Competition from Ethereum L2s

Ethereum's L2 ecosystem has momentum: Base (Coinbase), Arbitrum (Offchain Labs), and Optimism (OP Labs) have established developer communities and billions in TVL. Shared sequencers and cross-L2 standards (like OP Stack interoperability) could replicate Initia's unified UX within the Ethereum ecosystem.

If Ethereum solves fragmentation before Initia gains traction, the market opportunity shrinks.

The Broader Context: Modular Blockchain's Evolution

Initia represents the next phase of modular blockchain architecture. The first wave (Celestia, EigenDA, Polygon Avail) focused on data availability. The second wave (OP Stack, Arbitrum Orbit, ZK Stack) standardized rollup deployment.

The third wave—represented by Initia, Eclipse, and Saga—focuses on orchestration: making modular chains feel like a unified ecosystem.

This evolution mirrors cloud computing's journey:

  • Phase 1 (2006-2010): AWS provides raw infrastructure (EC2, S3) for technical users
  • Phase 2 (2011-2015): Platform-as-a-Service (Heroku, Google App Engine) abstracts complexity
  • Phase 3 (2016-present): Serverless and orchestration layers (Kubernetes, Lambda) make distributed systems feel monolithic

Blockchain is following the same pattern. Initia is the Kubernetes of modular blockchains—abstracting infrastructure complexity while preserving customizability.

BlockEden.xyz provides enterprise-grade API infrastructure for Initia, Cosmos, and 20+ blockchain networks. Explore our services to build Minitias on foundations designed for cross-chain interoperability.

Conclusion: The Race to Unify Modular Blockchain

The blockchain industry is converging on a paradox: applications need specialization (app-chains) but users demand simplicity (unified UX). Initia's bet is that the solution isn't choosing between these goals—it's building infrastructure that makes specialization feel integrated.

If Initia succeeds, it could become the default deployment platform for application-specific blockchains, the same way AWS became the default for web infrastructure. Developers get sovereignty and customizability without coordination overhead. Users get seamless cross-chain experiences without bridge nightmares.

If it fails, it will be because Ethereum's L2 ecosystem solved fragmentation first, or because coordinating multi-VM environments proves too complex.

The 50 million INIT airdrop and mainnet launch will be the first real test. Will developers migrate projects to Minitias? Will users adopt applications built on Initia's orchestration layer? Will liquidity flow naturally across EVM, MoveVM, and WasmVM ecosystems?

The answers will determine whether modular blockchain's future is fragmented or interwoven.


Sources:

DeFAI Architecture: How LLMs Are Replacing Click-Heavy DeFi With Plain English

· 12 min read
Dora Noda
Software Engineer

In a research lab at MIT, an autonomous AI agent just rebalanced a $2.4 million DeFi portfolio across three blockchains — without a single human clicking "Approve" on MetaMask. It parsed a natural language instruction, decomposed it into seventeen discrete on-chain operations, competed against rival solvers for the best execution path, and settled everything in under nine seconds. The user's only input was one sentence: "Move my stablecoins to the highest yield across Ethereum, Arbitrum, and Solana."

Welcome to DeFAI — the architectural layer where large language models replace the tangled dashboards, multi-step approvals, and chain-switching headaches that have kept decentralized finance a playground for power users. With 282 crypto-AI projects funded in 2025 and DeFAI's market cap surging past $850 million, this is no longer a whitepaper narrative. It is production infrastructure, and it is rewriting the rules of how value moves on-chain.

DGrid's Decentralized AI Inference: Breaking OpenAI's Gateway Monopoly

· 11 min read
Dora Noda
Software Engineer

What if the future of AI isn't controlled by OpenAI, Google, or Anthropic, but by a decentralized network where anyone can contribute compute power and share in the profits? That future arrived in January 2026 with DGrid, the first Web3 gateway aggregation platform for AI inference that's rewriting the rules of who controls—and profits from—artificial intelligence.

While centralized AI providers rack up billion-dollar valuations by gatekeeping access to large language models, DGrid is building something radically different: a community-owned routing layer where compute providers, model contributors, and developers are economically aligned through crypto-native incentives. The result is a trust-minimized, permissionless AI infrastructure that challenges the entire centralized API paradigm.

For on-chain AI agents executing autonomous DeFi strategies, this isn't just a technical upgrade—it's the infrastructure layer they've been waiting for.

The Centralization Problem: Why We Need DGrid

The current AI landscape is dominated by a handful of tech giants who control access, pricing, and data flows through centralized APIs. OpenAI's API, Anthropic's Claude, and Google's Gemini require developers to route all requests through proprietary gateways, creating several critical vulnerabilities:

Vendor Lock-In and Single Points of Failure: When your application depends on a single provider's API, you're at the mercy of their pricing changes, rate limits, service outages, and policy shifts. In 2025 alone, OpenAI experienced multiple high-profile outages that left thousands of applications unable to function.

Opacity in Quality and Cost: Centralized providers offer minimal transparency into their model performance, uptime guarantees, or cost structures. Developers pay premium prices without knowing if they're getting optimal value or if cheaper, equally capable alternatives exist.

Data Privacy and Control: Every API request to centralized providers means your data leaves your infrastructure and flows through systems you don't control. For enterprise applications and blockchain systems handling sensitive transactions, this creates unacceptable privacy risks.

Economic Extraction: Centralized AI providers capture all economic value generated by compute infrastructure, even when that compute power comes from distributed data centers and GPU farms. The people and organizations providing the actual computational horsepower see none of the profits.

DGrid's decentralized gateway aggregation directly addresses each of these problems by creating a permissionless, transparent, and community-owned alternative.

How DGrid Works: The Smart Gateway Architecture

At its core, DGrid operates as an intelligent routing layer that sits between AI applications and the world's AI models—both centralized and decentralized. Think of it as the "1inch for AI inference" or the "OpenRouter for Web3," aggregating access to hundreds of models while introducing crypto-native verification and economic incentives.

The AI Smart Gateway

DGrid's Smart Gateway functions as an intelligent traffic hub that organizes highly fragmented AI capabilities across providers. When a developer makes an API request for AI inference, the gateway:

  1. Analyzes the request for accuracy requirements, latency constraints, and cost parameters
  2. Routes intelligently to the optimal model provider based on real-time performance data
  3. Aggregates responses from multiple providers when redundancy or consensus is needed
  4. Handles fallbacks automatically if a primary provider fails or underperforms

Unlike centralized APIs that force you into a single provider's ecosystem, DGrid's gateway provides OpenAI-compatible endpoints while giving you access to 300+ models from providers including Anthropic, Google, DeepSeek, and emerging open-source alternatives.

The gateway's modular, decentralized architecture means no single entity controls routing decisions, and the system continues functioning even if individual nodes go offline.

Proof of Quality (PoQ): Verifying AI Output On-Chain

DGrid's most innovative technical contribution is its Proof of Quality (PoQ) mechanism—a challenge-based system combining cryptographic verification with game theory to ensure AI inference quality without centralized oversight.

Here's how PoQ works:

Multi-Dimensional Quality Assessment: PoQ evaluates AI service providers across objective metrics including:

  • Accuracy and Alignment: Are results factually correct and semantically aligned with the query?
  • Response Consistency: How much variance exists among outputs from different nodes?
  • Format Compliance: Does output adhere to specified requirements?

Random Verification Sampling: Specialized "Verification Nodes" randomly sample and re-verify inference tasks submitted by compute providers. If a node's output fails verification against consensus or ground truth, economic penalties are triggered.

Economic Staking and Slashing: Compute providers must stake DGrid's native $DGAI tokens to participate in the network. If verification reveals low-quality or manipulated outputs, the provider's stake is slashed, creating strong economic incentives for honest, high-quality service.

Cost-Aware Optimization: PoQ explicitly incorporates the economic cost of task execution—including compute usage, time consumption, and related resources—into its evaluation framework. Under equal quality conditions, a node that delivers faster, more efficient, and cheaper results receives higher rewards than slower, costlier alternatives.

This creates a competitive marketplace where quality and efficiency are transparently measured and economically rewarded, rather than hidden behind proprietary black boxes.

The Economics: DGrid Premium NFT and Value Distribution

DGrid's economic model prioritizes community ownership through the DGrid Premium Membership NFT, which launched on January 1, 2026.

Access and Pricing

Holding a DGrid Premium NFT grants direct access to premium features of all top-tier models on the DGrid.AI platform, covering major AI products globally. The pricing structure offers dramatic savings compared to paying for each provider individually:

  • First year: $1,580 USD
  • Renewals: $200 USD per year

To put this in perspective, maintaining separate subscriptions to ChatGPT Plus ($240/year), Claude Pro ($240/year), and Google Gemini Advanced ($240/year) alone costs $720 annually—and that's before adding access to specialized models for coding, image generation, or scientific research.

Revenue Sharing and Network Economics

DGrid's tokenomics align all network participants:

  • Compute Providers: GPU owners and data centers earn rewards proportional to their quality scores and efficiency metrics under PoQ
  • Model Contributors: Developers who integrate models into the DGrid network receive usage-based compensation
  • Verification Nodes: Operators who run PoQ verification infrastructure earn fees from network security
  • NFT Holders: Premium members gain discounted access and potential governance rights

The network has secured backing from leading crypto venture capital firms including Waterdrip Capital, IOTEX, Paramita, Abraca Research, CatherVC, 4EVER Research, and Zenith Capital, signaling strong institutional confidence in the decentralized AI infrastructure thesis.

What This Means for On-Chain AI Agents

The rise of autonomous AI agents executing on-chain strategies creates massive demand for reliable, cost-effective, and verifiable AI inference infrastructure. By early 2026, AI agents were already contributing 30% of prediction market volume on platforms like Polymarket and could manage trillions in DeFi total value locked (TVL) by mid-2026.

These agents need infrastructure that traditional centralized APIs cannot provide:

24/7 Autonomous Operation: AI agents don't sleep, but centralized API rate limits and outages create operational risks. DGrid's decentralized routing provides automatic failover and multi-provider redundancy.

Verifiable Outputs: When an AI agent executes a DeFi transaction worth millions, the quality and accuracy of its inference must be cryptographically verifiable. PoQ provides this verification layer natively.

Cost Optimization: Autonomous agents executing thousands of daily inferences need predictable, optimized costs. DGrid's competitive marketplace and cost-aware routing deliver better economics than fixed-price centralized APIs.

On-Chain Credentials and Reputation: The ERC-8004 standard finalized in August 2025 established identity, reputation, and validation registries for autonomous agents. DGrid's infrastructure integrates seamlessly with these standards, allowing agents to carry verifiable performance histories across protocols.

As one industry analysis put it: "Agentic AI in DeFi shifts the paradigm from manual, human-driven interactions to intelligent, self-optimizing machines that trade, manage risk, and execute strategies 24/7." DGrid provides the inference backbone these systems require.

The Competitive Landscape: DGrid vs. Alternatives

DGrid isn't alone in recognizing the opportunity for decentralized AI infrastructure, but its approach differs significantly from alternatives:

Centralized AI Gateways

Platforms like OpenRouter, Portkey, and LiteLLM provide unified access to multiple AI providers but remain centralized services. They solve vendor lock-in but don't address data privacy, economic extraction, or single points of failure. DGrid's decentralized architecture and PoQ verification provide trustless guarantees these services can't match.

Local-First AI (LocalAI)

LocalAI offers distributed, peer-to-peer AI inference that keeps data on your machine, prioritizing privacy above all else. While excellent for individual developers, it doesn't provide the economic coordination, quality verification, or professional-grade reliability that enterprises and high-stakes applications require. DGrid combines the privacy benefits of decentralization with the performance and accountability of a professionally managed network.

Decentralized Compute Networks (Fluence, Bittensor)

Platforms like Fluence focus on decentralized compute infrastructure with enterprise-grade data centers, while Bittensor uses proof-of-intelligence mining to coordinate AI model training and inference. DGrid differentiates by focusing specifically on the gateway and routing layer—it's infrastructure-agnostic and can aggregate both centralized providers and decentralized networks, making it complementary rather than competitive to underlying compute platforms.

DePIN + AI (Render Network, Akash Network)

Decentralized Physical Infrastructure Networks like Render (focused on GPU rendering) and Akash (general-purpose cloud compute) provide the raw computational power for AI workloads. DGrid sits one layer above, acting as the intelligent routing and verification layer that connects applications to these distributed compute resources.

The combination of DePIN compute networks and DGrid's gateway aggregation represents the full stack for decentralized AI infrastructure: DePIN provides the physical resources, DGrid provides the intelligent coordination and quality assurance.

Challenges and Questions for 2026

Despite DGrid's promising architecture, several challenges remain:

Adoption Hurdles: Developers already integrated with OpenAI or Anthropic APIs face switching costs, even if DGrid offers better economics. Network effects favor established providers unless DGrid can demonstrate clear, measurable advantages in cost, reliability, or features.

PoQ Verification Complexity: While the Proof of Quality mechanism is theoretically sound, real-world implementation faces challenges. Who determines ground truth for subjective tasks? How are verification nodes themselves verified? What prevents collusion between compute providers and verification nodes?

Token Economics Sustainability: Many crypto projects launch with generous rewards that prove unsustainable. Will DGrid's $DGAI token economics maintain healthy participation as initial incentives decrease? Can the network generate sufficient revenue from API usage to fund ongoing rewards?

Regulatory Uncertainty: As AI regulation evolves globally, decentralized AI networks face unclear legal status. How will DGrid navigate compliance requirements across jurisdictions while maintaining its permissionless, decentralized ethos?

Performance Parity: Can DGrid's decentralized routing match the latency and throughput of optimized centralized APIs? For real-time applications, even 100-200ms of additional latency from verification and routing overhead could be deal-breakers.

These aren't insurmountable problems, but they represent real engineering, economic, and regulatory challenges that will determine whether DGrid achieves its vision.

The Path Forward: Infrastructure for an AI-Native Blockchain

DGrid's launch in January 2026 marks a pivotal moment in the convergence of AI and blockchain. As autonomous agents become "algorithmic whales" managing trillions in on-chain capital, the infrastructure they depend on cannot be controlled by centralized gatekeepers.

The broader market is taking notice. The DePIN sector—which includes decentralized infrastructure for AI, storage, connectivity, and compute—has grown from $5.2B to projections of $3.5 trillion by 2028, driven by 50-85% cost reductions versus centralized alternatives and real enterprise demand.

DGrid's gateway aggregation model captures a crucial piece of this infrastructure stack: the intelligent routing layer that connects applications to computational resources while verifying quality, optimizing costs, and distributing value to network participants rather than extracting it to shareholders.

For developers building the next generation of on-chain AI agents, DeFi automation, and autonomous blockchain applications, DGrid represents a credible alternative to the centralized AI oligopoly. Whether it can deliver on that promise at scale—and whether its PoQ mechanism proves robust in production—will be one of the defining infrastructure questions of 2026.

The decentralized AI inference revolution has begun. The question now is whether it can sustain the momentum.

If you're building AI-powered blockchain applications or exploring decentralized AI infrastructure for your projects, BlockEden.xyz provides enterprise-grade API access and node infrastructure for Ethereum, Solana, Sui, Aptos, and other leading chains. Our infrastructure is designed to support the high-throughput, low-latency requirements of AI agent applications. Explore our API marketplace to see how we can support your next-generation Web3 projects.

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