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Decentralized API Marketplaces: The Future of Open, Permissionless Digital Infrastructure

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Decentralized API Marketplaces: The Future of Open, Permissionless Digital Infrastructure

Application Programming Interfaces (APIs) are the invisible engines powering today’s digital world. From payment processing and weather forecasts to AI models and blockchain data, APIs allow applications to communicate and exchange information seamlessly. Traditionally, however, API services have been controlled by centralized providers, creating concerns around pricing, censorship, availability, and vendor lock-in.

Decentralized API marketplaces are emerging as a blockchain-powered alternative, allowing developers and businesses to publish, discover, monetize, and consume APIs without relying on a single intermediary. By leveraging smart contracts, decentralized identity, and token-based incentives, these marketplaces aim to create a more open, resilient, and transparent internet economy.

What Is a Decentralized API Marketplace?

A decentralized API marketplace is a blockchain-based platform where developers can offer APIs directly to consumers while maintaining ownership of their services.

Instead of a centralized company managing infrastructure, payments, and access control, smart contracts automate:

  • API registration
  • Usage tracking
  • Payments
  • Revenue distribution
  • Reputation systems
  • Access permissions

The marketplace becomes an open ecosystem where anyone can participate without requiring approval from a central authority.

How It Works

The workflow is surprisingly straightforward.

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1. API Providers Publish Services

Developers upload API metadata, pricing models, documentation, and endpoint information.

Examples include:

  • AI inference APIs
  • Blockchain node access
  • Weather data
  • Financial market feeds
  • Identity verification
  • Machine learning services
  • Gaming APIs

2. Consumers Discover APIs

Businesses and developers browse available APIs through decentralized registries.

Smart filters can rank APIs by:

  • Performance
  • Cost
  • Reliability
  • Community ratings
  • Geographic availability
  • Response time

3. Smart Contract Payments

Instead of traditional monthly subscriptions, users pay automatically based on actual usage.

Possible payment models include:

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  • Pay per request
  • Pay per second
  • Monthly staking
  • Subscription NFTs
  • Token streaming
  • Micropayments

Payments settle directly between users and providers.

4. API Access

Once payment conditions are met, access credentials or decentralized authentication methods grant API usage.

Everything happens without manual approval.

Why Traditional API Platforms Have Limitations

Centralized API providers face several challenges.

Single Points of Failure

If the platform experiences downtime, thousands of applications may stop functioning.

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Vendor Lock-In

Developers often become dependent on one provider’s pricing, policies, and infrastructure.

Migrating can become costly.

Limited Monetization

Smaller developers struggle to reach customers because centralized platforms favor established providers.

Geographic Restrictions

Certain services may not be available in every region due to regulations or business decisions.

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Platform Fees

Central marketplaces frequently charge significant commissions that reduce developer earnings.

Benefits of Decentralized API Marketplaces

Permissionless Publishing

Anyone can publish an API without seeking approval.

Innovation becomes accessible to independent developers worldwide.

Global Payments

Blockchain enables instant international payments without relying on traditional banking systems.

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Developers can monetize services regardless of their location.

Transparent Pricing

Pricing is visible on-chain, reducing hidden fees and unexpected billing changes.

Automated Revenue Distribution

Smart contracts instantly split revenue among contributors, infrastructure providers, and partners.

Better Incentives

Token rewards encourage:

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  • Reliable uptime
  • High-quality documentation
  • Fast response times
  • Community support
  • Honest reviews

Increased Competition

Users gain access to multiple providers offering similar services, encouraging innovation while helping keep costs competitive.

Use Cases

Artificial Intelligence

Developers can publish AI models as APIs and earn revenue for every inference request.

Instead of relying on one AI provider, applications can choose from numerous decentralized options.

Blockchain Infrastructure

Developers often need:

  • RPC endpoints
  • Node services
  • Indexing APIs
  • Wallet integrations

Decentralized marketplaces allow infrastructure providers to compete on quality and pricing.

Financial Data

Real-time:

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  • Stock prices
  • Crypto prices
  • Commodity feeds
  • Forex markets

can all be monetized through decentralized APIs.

IoT Networks

Connected devices can purchase data from other sensors automatically.

Examples include:

  • Traffic information
  • Environmental monitoring
  • Energy grids
  • Smart cities

Gaming

Games may purchase:

  • Leaderboards
  • NFT metadata
  • Matchmaking services
  • Player statistics

through decentralized APIs.

The Role of Tokens

Many decentralized marketplaces introduce utility tokens that support ecosystem participation.

Tokens may be used for:

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  • Service payments
  • Staking
  • Governance
  • Reputation systems
  • Incentive programs
  • Security deposits
  • Premium API access

Rather than serving purely speculative purposes, tokens can align incentives between providers and consumers while supporting the long-term sustainability of the marketplace.

Challenges Ahead

Although promising, decentralized API marketplaces still face obstacles.

Scalability

High API volumes require infrastructure capable of handling millions of requests efficiently.

Security

APIs must be protected against:

  • Abuse
  • Spam
  • DDoS attacks
  • Fraudulent usage

Service Quality

Maintaining reliable uptime remains critical.

Reputation systems and decentralized monitoring help identify trustworthy providers.

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Developer Experience

Traditional API platforms offer mature documentation and tooling.

Decentralized platforms must deliver similarly seamless experiences to encourage adoption.

Regulation

Data privacy, intellectual property, and compliance requirements vary across jurisdictions, requiring thoughtful implementation.

How AI and Blockchain Strengthen the Ecosystem

Artificial intelligence can complement decentralized API marketplaces by:

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  • Monitoring performance
  • Detecting anomalies
  • Optimizing routing
  • Predicting demand
  • Recommending the best providers
  • Automating pricing strategies

Combined with blockchain’s transparency and programmable payments, AI can help marketplaces become more efficient, resilient, and user-friendly.

The Road Ahead

As Web3 infrastructure matures, decentralized API marketplaces could become foundational building blocks of the digital economy. Instead of relying on a handful of centralized providers, developers may gain access to a global network of services that compete on quality, reliability, and value.

For startups, this lowers barriers to monetization. For enterprises, it provides greater flexibility and resilience. For independent developers, it opens opportunities to earn directly from their innovations without depending on centralized gatekeepers.

The future of APIs may not belong to a few dominant platforms, but to open marketplaces where services, data, and intelligence flow freely across decentralized networks.

In Summary

Decentralized API marketplaces represent more than a new way to distribute software—they embody a shift toward a more open and collaborative internet. By combining blockchain technology, smart contracts, and token-based incentives, these platforms enable developers to publish services, receive transparent compensation, and reach a global audience without unnecessary intermediaries.

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As adoption grows and infrastructure improves, decentralized API marketplaces have the potential to power the next generation of AI, Web3 applications, decentralized finance, gaming, and enterprise software. In a world where digital services increasingly drive economic activity, open API ecosystems could become one of the defining pillars of the decentralized internet.

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At Least 15 Attackers Exploited Coldcard Vulnerability: Report

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Crypto Breaking News

Galaxy Digital’s research team says the Coldcard wallet exploit has been used by at least 15 different attackers, based on new victim reports submitted after the incident. In remarks shared this week, Alex Thorn, head of research at Galaxy Digital, suggested that these additional reports helped identify variants that might otherwise have remained hidden.

Thorn also indicated that losses tied to the exploit have risen as investigators mapped multiple waves of activity. Galaxy Research estimates the confirmed thefts total about $100 million across three waves, with an additional suspected fourth wave that could lift the figure to roughly $130 million in Bitcoin.

Key takeaways

  • Galaxy Digital reports at least 15 distinct attackers behind the Coldcard exploitation, based on newly received victim accounts.
  • Galaxy Research estimates confirmed losses at about $100 million across three attack waves, with a potential fourth wave raising the estimate to ~$130 million.
  • Security debate is returning to cold storage practices, particularly how much safety comes from self-custody versus wallet design.
  • Industry discussion highlights how emerging AI capabilities could lower the time and cost of vulnerability discovery—though independent validation remains limited.
  • Researchers point to wallet entropy and firmware behavior as potential factors that make exploitation easier under certain conditions.

Coldcard thefts widen as investigators compare victim reports

In a Tuesday post on X, Thorn said that new victim reports enabled Galaxy to identify additional attacker activity. He framed the significance of the new reporting as both quantitative and technical: the exploit behavior differed from typical theft patterns seen in hacks against centralized exchanges, making careful attribution and investigation more dependent on detailed victim information.

Thorn wrote that even a relatively small report—less than 1 BTC stolen from a victim—was sufficient to detect a new attack pattern. He noted that this new attack involved roughly 12 BTC siphoned from 126 addresses, underscoring how the same underlying vulnerability could be used in different operational ways.

Earlier coverage of the Coldcard exploitation described multiple “waves” of activity. Galaxy Research’s current figures build on that approach by tracking confirmed incidents and assessing whether activity patterns resemble a further wave of exploitation.

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Loss estimates: three confirmed waves, plus a suspected fourth

According to Galaxy Research, the total losses from the Coldcard exploit have grown to approximately $100 million across three confirmed attack waves. Thorn’s research also points to a suspected fourth wave that, if validated, would bring the potential total to about $130 million in Bitcoin.

For users and investors, the practical value of this breakdown is that it turns an incident that initially looked like a one-off event into something closer to an evolving campaign. Waves of theft imply repeated operational access—either through different attacker infrastructure, different timing, or different exploit paths that still converge on the vulnerable behavior.

Debate over “AI hardening” and whether models can rediscover exploits

The renewed attention has also reopened a broader debate: whether AI tools can meaningfully compress the time between disclosure and exploitation, and whether “AI hardening” could have prevented the attack.

Dragonfly managing partner Haseeb Qureshi argued on X that “$2 of AI hardening” could have stopped the Coldcard exploit, citing social media claims that some AI models rediscovered the underlying vulnerability in under 20 minutes. His comments referenced reports that a model named Claude could regenerate the vulnerability in eight minutes, as well as a separate claim that an open-source model (GLM 5.2) could rediscover the exploit in 20 minutes even with web access disabled.

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However, Tokenomist data lead Tatsapat Saerejittima told Cointelegraph that it is unlikely AI models would have independently found the vulnerability before it became public. Saerejittima argued that the most prominent “fast rediscovery” claim appears to stem from a pseudonymous user who scanned code after the vulnerability was already known, without a blind test, a documented methodology, or an assessment of false-positive rates.

“The claim that AI found it in 2 mins came from a pseudonymous Reddit user who scanned the code after the vulnerability had already become public. There was no blind test, no documented methodology, and no assessment of the model’s false-positive rate.”

That distinction matters. If “rediscovery” is based on post-disclosure inputs, then the timeframe reflects reuse of known information rather than a model’s ability to autonomously uncover unknown vulnerabilities under real-world conditions. For wallet users, builders, and auditors, the difference affects how confidently security teams can treat AI-assisted testing as a substitute for formal review and threat modeling.

Private key setup and entropy may have made exploitation easier

Another line of analysis focuses less on AI capabilities and more on the cryptographic design and implementation details of the device’s key generation process.

Crypto research company Castle Labs co-founder Francesco said that increasing AI capabilities could reduce the cost and time needed to discover cryptocurrency vulnerabilities. He also suggested that Coldcard’s private key may have played a role in why the exploit worked.

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Francesco pointed to a “level of private key entropy (40 bits) much lower than the standard adopted by other wallets (a 12-word seed is 128 bits).” He attributed this discrepancy to a firmware bug, which he said would make exploitation easier because the search space is smaller than it would be under typical seed-based entropy assumptions.

He further stated that he expects the cost of bug discovery to continue decreasing as AI models improve and become more embedded in both cybersecurity workflows and exploitation attempts. Even without relying on any single “AI rediscovery” claim, the underlying idea—that automation can accelerate identification and exploitation—aligns with the broader security trend toward faster vulnerability discovery and weaponization.

In practice, these findings shift attention to what should change next for hardware wallet security: not only whether vulnerabilities are found quickly, but how wallet firmware handles entropy, key generation, and edge cases that could alter the effective security assumptions.

As the industry digests Galaxy’s expanding attribution data and the ongoing discussion of exploit mechanics, readers should watch for whether additional theft activity continues to be classified into further waves—and, just as importantly, what technical mitigations are recommended or adopted to address the entropy or firmware conditions implicated by researchers.

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Risk & affiliate notice: Crypto assets are volatile and capital is at risk. This article may contain affiliate links. Read full disclosure

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Bitcoin bridge Boltz suspends services as AI hacks outpace patches

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Bitcoin bridge Boltz suspends services as AI hacks outpace patches

Bitcoin bridge Boltz has suspended services indefinitely due to repeated attacks on its infrastructure by hackers using AI tools.

Boltz’ announced that it could no longer “responsibly re-enable Boltz swaps” while it’s “being actively targeted by what appear to be multiple resourceful groups while we race to deploy fixes.”

Indeed, the company claimed that over the past few months it had witnessed a “steady rise in automated, AI-assisted probing of our infrastructure” that resulted in several exploits. 

Every exploit has apparently been contained, but Boltz is now worried that it can’t keep up with fixing exploits as its attackers “iterate faster than a team our size can find and patch.”

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Boltz originally suspended its services on Monday morning.

Read more: Coldcard hacker’s BTC wallet flooded with on-chain messages

It said, “What we are seeing is a major paradigm shift for Bitcoin services operating on an open source stack, and it needs careful analysis. Do not expect swap services to resume shortly.”

The company stressed that “no user funds were ever at risk,” and that any “losses were ours alone.”

Boltz Swap Services didn’t hold user funds as a custodian. Instead, the company operated a non-custodial bridge that used hashed timelock contracts to execute atomic swaps between regular BTC, Lightning Network BTC, and Liquid Network BTC.

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Funds either fully swapped or fully reverted within one block.

Boltz suspension leads to collateral damage

Boltz’s closure of swap services has had a knock-on effect on Bitcoin firms Bull Bitcoin and Aqua Wallet.

Bull Bitcoin warned that lightning payments and Liquid to Bitcoin swaps in its wallet will now “fail without explanation,” and it’s working to find a solution. 

Aqua Wallet similarly warned that these types of swaps are no longer available, and that it’s working with Boltz and attempting to find alternative means for lightning swaps. 

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A major seed phrase exploit affecting the Bitcoin hardware wallet Coldcard, which has now reportedly led to the theft of over $100 million worth of BTC, is also believed to have originated from AI software. 

Read more: Former FBI agent indicted for stealing crypto from FBI

These two high profile exploits have led to concern over AI usage by hackers.

In response to Boltz’ pause, Swan co-founder Yan Pritzker said, “AI attackers are getting more and more sophisticated and small teams are going to have a tough time keeping up with the attacks.

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“There’s a significant overhead to building and running enterprise security in the age of LLMs, which will price out many innovative startups wanting to work on services related to client funds — even non custodial ones. Which really sucks.”

Former Lightning Labs business developer Lucas Ferreira described Boltz’ situation as “very unfortunate.” He noted that while its team was “brilliant,” it’s still only a small team facing AI-powered groups of hackers.

He added, “We’ll need more funding for the open-source space if we want our infrastructure to remain secure and resilient.”

Got a tip? Send us an email securely via Protos Leaks. For more informed news and investigations, follow us on XBluesky, and Google News, or subscribe to our YouTube channel.

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Polymarket seeks fundraising round at more than $20 billion valuation

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Polymarket seeks fundraising round at more than $20 billion valuation

A Polymarket billboard displaying New York City mayoral election odds in Times Square in New York, US, on Tuesday, Nov. 4, 2025.

Adam Gray | Bloomberg | Getty Images

Prediction market platform Polymarket is in talks for a fundraising round that would value the company at north of $20 billion, a person familiar with the matter confirmed to CNBC. 

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The talks and valuation come after the company told CNBC in late June that its annualized revenue was well above $1 billion, following the launch of its regulated U.S. exchange in May.

Bloomberg first reported on Tuesday about the new talks and valuation. Polymarket declined a request to comment by CNBC.

The person familiar with the situation — who asked not to be named to discuss the ongoing fundraising talks — also confirmed that the company previously closed a funding round in April that valued Polymarket at $15 billion. 

The Information first reported about the funding round that same month, but the company did not confirm the round’s closure at the time. That round included an additional $600 million direct cash investment by New York Stock Exchange owner Intercontinental Exchange announced in March, Bloomberg reported. 

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Prediction market platforms are continuing to experience huge growth while staying private. In May, Polymarket’s chief rival, Kalshi, announced the closure of a funding round that valued the company at $22 billion. The Financial Times reported in June that Kalshi was in talks to raise new funds in the third quarter and would seek a $40 billion valuation. 

If a new funding round for Polymarket closes, it would mark the first since the U.S. exchange’s official launch, though the platform debuted with a waitlist in December. The U.S. exchange is doing north of $100 million in notional volume per day — up from around $75 million at the end of May — while the company’s international platform is recording daily notional volume above $150 million, according to data from Dune Analytics.

CNBC’s Ananya Chetia contributed reporting

Disclosure: CNBC and Kalshi have a commercial relationship that includes customer acquisition and a minority investment.

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Banking giant Intesa Sanpaolo cuts IBIT stake 94%, triples ether ETF holding

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Italian banking giant Intesa Sanapolo discloses near $100 million bitcoin ETF holdings, along with Strategy hedge

It wasn’t alone in rejigging its exposure to cryptocurrencies. U.S. spot bitcoin ETFs overall recorded roughly $4.89 billion of net outflows in the three months through June, according to SoSoValue data. IBIT alone lost $2.95 billion. Spot ether ETFs also suffered, with more than $715 million in outflows.

Intesa Sanpaolo, in contrast, tripled its stake in BlackRock’s iShares Staked Ethereum Trust ETF (ETHB) to 349,600 shares. The position was worth $7.10 million at quarter-end, up from $3.15 million.

Among crypto-linked equities, the bank nearly doubled its BitGo Holdings (BTGO) position to 323,000 shares, while reducing its stake in Coinbase Global (COIN) by 32%, Circle Internet (CRCL) by 10% and Robinhood Markets (HOOD) by 43%.

The filing also shows a new 5.66 million-share SpaceX (SPCX) position valued at $966.42 million, making it Intesa’s largest disclosed holding. SpaceX, which went public on June 12, holds 18,712 bitcoin worth $1.18 billion. It reduced its holdings in Tesla (TSLA) by 92%.

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Intesa made its first direct bitcoin purchase in January 2025, acquiring 11 BTC for about 1 million euros ($1.2 million) as part of what CEO Carlo Messina described as an experiment.

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Polymarket targets $20 billion valuation as competition heats up in prediction market sector

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Polymarket to challenge France’s nationwide website block

Blockchain-based prediction markets platform Polymarket is looking to raise fresh capital at a $20 billion valuation, Bloomberg reported Tuesday, citing people familiar with the matter.

According to the person, the company closed a funding round at a $15 billion valuation in April which included a $600 million investment from the Intercontinental Exchange, the owner of the New York Stock Exchange.

In June, Polymarket told CNBC that its annualized revenue had climbed well above $1 billion even after the platform saw a decline in trading volumes in April and May which were offset by record highs during the World Cup.

Polymarket founder and CEO Shayne Coplan has long argued Polymarket should be viewed as an information platform rather than a betting site. In a March appearance, he said prediction markets let people “put your money where your mouth is” when they disagree with consensus, describing the platform as “a very useful thermometer of the world” that helps people assess the likelihood of future events. He also said his long-term vision is to expand beyond headline events into a broader “almanac for the future” covering a much wider range of markets.

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Bitdeer Signs $4.7B AI Data Center Lease in Norway

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Bitdeer Signs $4.7B AI Data Center Lease in Norway

Bitcoin mining company Bitdeer has signed a 16-year lease agreement valued at as much as $4.7 billion to secure artificial intelligence and high-performance computing data center capacity, underscoring how crypto miners are increasingly expanding into AI infrastructure as demand for computing power grows.

Under the agreement, Bitdeer will provide 121 megawatts of IT capacity at its Tydal, Norway, AI data center to a tenant that the company identified only as a subsidiary of Volta Infra. The facility will be configured to support Nvidia GPU-based AI workloads, though Bitdeer did not disclose the tenant’s identity or specify whether Volta is the end customer or an intermediary.

Bloomberg News reported that the Nvidia-backed Volta’s $10 billion ‌cloud contract is with ⁠Anthropic, citing people familiar with the matter.

The lease remains subject to customary closing conditions and is not yet effective, according to the company. To secure the tenant’s payment obligations, affiliates of JP Morgan and another unnamed global financial institution are expected to issue approximately $1.3 billion in letters of credit, or a bank guarantee that ensures the landlord can recover funds if the tenant fails to meet its contractual payment obligations.

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Bitdeer shares jumped about 8% in early Nasdaq trading following the announcement, suggesting investors welcomed the company’s continued expansion into AI infrastructure and data centers.

Shares of Bitdeer Technologies Group (BTDR) rose sharply on Tuesday.
Source: Yahoo Finance

Bitdeer has steadily diversified beyond its core Bitcoin mining business in an effort to broaden its revenue base. Alongside its push into AI and high-performance computing infrastructure, the company has expanded its mining hardware manufacturing operations to reduce its reliance on third-party suppliers. Last month, Bitdeer announced a $36 million investment in a manufacturing facility in Nevada to support that strategy.

Related: Galaxy, MARA Holdings deepen Texas expansion with land acquisitions

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Bitdeer bucks industry trend by selling all BTC holdings

Bitdeer has taken a different approach from many of its publicly traded mining peers by fully liquidating its Bitcoin treasury.

In early February, the company held roughly 943 BTC before announcing that it had reduced its holdings to zero, while maintaining that it remains committed to the Bitcoin ecosystem. According to Bitdeer executive Ross Gann, the sales were made to help fund the company’s broader expansion strategy, including acquisitions of powered land for AI and Bitcoin mining infrastructure.

By contrast, several major Bitcoin miners continue to maintain large Bitcoin treasuries. MARA Holdings, Riot Platforms, CleanSpark and Hut 8 each hold at least 10,000 BTC, according to BitcoinTreasuries.NET, with MARA’s holdings exceeding 36,000 BTC.

Magazine: Sorry everyone, Bitcoin is headed down to $43,500: Michael Terpin

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Wells Fargo joins JPMorgan and Citi in the race to tokenize Wall Street’s settlement rails

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U.S. CPI, JPMorgan, Citi earnings reports: Crypto Week Ahead

Wells Fargo (WFC) will offer tokenized deposits for select corporate and commercial clients later this year, starting with enabling round-the-clock U.S. dollar-to-British pound transactions on its proprietary blockchain.

The bank frames round-the-clock settlement, programmable payments and parity with its existing deposit protections as future enhancements, saying the system will let clients move, program and settle funds 24/7/365 “when fully deployed.”

The limited initial rollout will expand to more clients, countries and currencies throughout 2027. Its system will automatically route eligible payments through tokenized deposits when doing so improves speed or flexibility, without changing how clients interact with the bank.

Tokenized deposits represent conventional bank balances on a blockchain. Unlike stablecoins, they remain commercial bank money and Wells Fargo says they will carry the same regulatory protections and deposit-insurance eligibility as its existing deposit products.

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Future features will include conditional payments using smart contracts, according to the bank.

The platform could also support in-house custodial wallets and connections to other blockchains. Wells Fargo said it can integrate with a shared tokenized-deposit network being developed by The Clearing House, according to the Wall Street Journal.

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Bitcoin’s Most Active Day Since 2024. What Happened On-Chain During the Coldcard Panic

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Bitcoin’s Most Active Day Since 2024. What Happened On-Chain During the Coldcard Panic

Bitcoin (BTC) daily active addresses jumped from 645,000 on July 30 to nearly 1 million on July 31. The reading was the highest since December 10, 2024, and the Coldcard panic, not new demand, drove it.

BTC traded at $60,347 at press time, up 1.24% in 24 hours, BeInCrypto data shows. Three on-chain charts reveal what holders actually did during a weekend of severe stress for self-custody.

Nearly 1 Million Addresses Moved, the Most Since December 2024

Glassnode data shows about 980,000 active addresses on July 31, up more than 50% in a single day. The jump came days after attackers began draining Coldcard hardware wallets through a flawed random number generator.

Three confirmed attack waves have been linked to 1,367 BTC, worth $88.6 million, stolen from 4,585 addresses. A suspected fourth wave has since swept over 380 BTC more.

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The last time this many addresses moved, on December 10, 2024, bitcoin traded near $100,000 during a euphoric rally. This time, the same activity arrived with BTC around $60,000. Same metric, opposite emotion.

Bitcoin Number of Active Addresses / Source: Glassnode

CryptoQuant Head of Research Julio Moreno noted on X that sending addresses drove nearly all of the growth. Receiving addresses barely moved in proportion, which suggests consolidation. Thousands of wallets emptied toward a much smaller set of destinations.

Historically, active addresses had churned between 550,000 and 750,000 for most of 2026. Therefore, the spike reads as a one-off event rather than a new trend.

Small Holders Moved the Most BTC Since the FTX Collapse

CryptoQuant’s Spent Output Value Bands point to who panicked. Transfers below 1 BTC totaled 39,600 BTC on July 31. The only comparable daily reading came on November 16, 2022, at 39,900 BTC, days after FTX failed.

These bands capture retail-sized wallets, exactly the profile of Coldcard’s user base. One holder lost 18.25 BTC, worth $1.6 million, in under seven minutes. Stories like his pushed thousands of users to act.

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Moreno framed the migration as a healthy reflex rather than capitulation.

“The Bitcoin plebs had not move[d] this amount of BTC in a day since the FTX collapse… I like to see that people seem to be taking action.”

He shared the observation on X on August 1.

Bitcoin Spent Output Value Bands / Source: X

However, the direction of travel has reversed since 2022. Back then, users pulled coins off exchanges and into cold storage. This time, a cold storage failure sent coins the other way. The reversal feeds the self-custody debate that Binance founder Changpeng Zhao reignited this week.

Many Wallets, Few Transactions. The Anatomy of the Coldcard Panic

The third chart completes the picture. Glassnode counted 761,796 transfers on July 31, a local spike but far from a record. Prior peaks on December 13, 2024, April 19, 2025, and May 9, 2026, all cleared 1 million transfers.

The divergence matters. Active addresses hit a 20-month high while transfer counts stayed inside their ordinary range. In other words, an enormous number of wallets moved, but each made only one or a few transactions.

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Bitcoin Number of Transfers / Source: Glassnode

That is the anatomy of a mass emergency sweep, not an activity boom. In contrast, earlier transfer records came from concentrated, high-frequency churn by far fewer entities.

Galaxy Research head Alex Thorn observed sweep transactions running at 13.8 per block, roughly 45 times the pre-incident baseline. The shock even reached protocol politics, as developers postponed the BIP-110 soft fork activation, citing the incident.

The Chain Recorded Fear, Not a Trend

Raw on-chain metrics will look distorted for days. Analysts may prefer entity-adjusted data until sweep activity fades, and active addresses could normalize just as sharply as they spiked.

Notably, the price barely reacted. Bitcoin held near $60,000 through its most active day in 20 months. That calm suggests the moved coins fled risk rather than sought exits.

The next signal to watch sits on the exchange books. If migrated coins stay put, the episode remains a security story. If they start selling, the Coldcard panic could yet become a market story.

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These 25 U.S. States Are Suing the Trump Administration. Here’s Why

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These 25 U.S. States Are Suing the Trump Administration. Here's Why

But the Democratic-led states strongly refute this reasoning, insisting in the lawsuit that “the Administration cannot use forced labor as a pretext to continue its illegal tariff scheme. The tariffs the USTR imposed are so broad that they defy the USTR’s own stated aims and make a mockery of the statute used to justify them.”

California Attorney General Rob Bonta, who co-led the coalition, claimed Trump is “so intent on raising the cost of living for Americans that he is willing to break law after law after law to do so.”

“Tariffs are taxes, and the American people cannot and should not shoulder the extra costs that come from the President’s failed and illegal economic policy—no matter how much the President wants them to,” he added, in a statement announcing he is suing the Trump Administration over its tariffs for a third time.

Joining California in the lawsuit are Arizona, New York, Colorado, Connecticut, Delaware, Kentucky, Hawaii, Illinois, Massachusetts, Michigan, Maryland, Maine, Minnesota, Nevada, New Jersey,  North Carolina, New Mexico, Oregon, Pennsylvania, Rhode Island, Vermont, Virginia Washington, and Wisconsin.

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What OpenAI’s Hugging Face Hack Tells Us About AI’s Risks

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What OpenAI’s Hugging Face Hack Tells Us About AI’s Risks

And these models, as impressive as they may be now, will be quaint compared to their successors. 

As many AI executives such as Sam Altman, Dario Amodei, Demis Hassabis, Elon Musk, and Mark Zuckerberg will freely admit, a primary goal of the tech industry is to build AI that can fully automate its own research and development—known as recursive self-improvement—which, if possible, would be the most crucial step toward rendering all of us obsolete.

For my reporting, I’ve spent the last three years talking to dozens of AI safety staffers at the leading companies. Typically, I have found that these genuinely well-intentioned researchers believe that AI will become superhuman across the board, but we might be able to create superhuman automated safety researchers to watch over them. 

How will they be able to understand and control systems that truly outsmart us? Or catch subtle drift between what we want and how the models behave that compounds over generations? Who knows. 

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