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$0.09886USD
-1.36%1D
The price of 1 Mind Network (FHE) in is valued at $0.09886 USD as of 06:29 (UTC) today.
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Mind Network price chart (FHE/USD)
Last updated as of 2025-05-21 06:29:57(UTC+0)
Market cap:$24,616,068.17
Fully diluted market cap:$24,616,068.17
Volume (24h):$25,869,577.23
24h volume / market cap:105.09%
24h high:$0.1032
24h low:$0.09628
All-time high:$0.1283
All-time low:$0.02890
Circulating supply:249,000,000 FHE
Total supply:
1,000,000,000FHE
Circulation rate:24.00%
Max supply:
1,000,000,000FHE
Price in BTC:0.{6}9203 BTC
Price in ETH:0.{4}3822 ETH
Price at BTC market cap:
$8,570.75
Price at ETH market cap:
$1,254.06
Contracts:
0xd55C...962727E(BNB Smart Chain (BEP20))
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About Mind Network (FHE)

What Is Mind Network (FHE)?

Mind Network is a decentralized Fully Homomorphic Encryption (FHE) infrastructure founded in 2022 by Christian Pusateri, Mason Song, and George Shao. It is built to secure sensitive data across blockchain, AI, and Web3 environments. The current internet standard, HTTPS, only protects data in transit. Once data reaches its destination or enters computation, it becomes vulnerable. This gap in protection has led to widespread data breaches and privacy concerns in both traditional and decentralized systems.

Mind Network addresses this issue by allowing computations on encrypted data without needing to decrypt it. This is possible through FHE, which keeps information encrypted during storage, transfer, and processing. It creates a zero-trust framework known as HTTPZ, designed to eliminate reliance on centralized authorities and reduce exposure to data leaks and quantum computing threats.

The project goes beyond theoretical cryptography. It builds real infrastructure that integrates with decentralized finance (DeFi), decentralized physical infrastructure networks (DePIN), AI agents, and modular blockchains. Mind Network's technology supports confidential AI training, private asset transfers across blockchains, and secure governance for decentralized organizations. This positions it as a security-first protocol for the next generation of Web3 applications.

How Mind Network Works

Mind Network uses a multi-layered approach built around Fully Homomorphic Encryption (FHE) to bring privacy and security to blockchain, AI, and decentralized ecosystems. Each part of its infrastructure plays a role in protecting data while enabling scalable and efficient operations.

1. HTTPZ Protocol

HTTPZ is a proposed evolution of HTTPS, designed for the decentralized internet. Unlike HTTPS, which only encrypts data during transmission, HTTPZ ensures data stays encrypted throughout its full lifecycle—during storage, transit, and computation. This protocol enables zero-trust environments, where data doesn’t need to be exposed at any point, even when it’s being processed by AI models or blockchain nodes. It also includes protections against quantum computing threats by relying on lattice-based encryption.

2. MindChain: The FHE Blockchain

MindChain is a blockchain built specifically for secure AI agent interaction. It allows computations to be done directly on encrypted data without decrypting it. This makes it suitable for sensitive industries like healthcare, finance, and defense. The chain supports smart contracts, cross-chain communication, decentralized identity, and FHE-based consensus. It integrates technologies like ZKPs, TEEs, and GPU-based computation for scalable performance and privacy.

3. AgenticWorld: Decentralized AI Ecosystem

AgenticWorld is a simulated environment for AI agents to operate independently. Agents can manage tasks, make decisions, and interact with other agents or users—all while maintaining data privacy. The system includes Basic, Advanced, and Partner Hubs, which function as spaces where agents train, collaborate, and carry out encrypted workflows. AgenticWorld supports developers building custom AI agents and smart hubs, while users can subscribe to AI agents that perform tasks on their behalf.

4. FHEBridge: Secure Cross-Chain Transfers

Built in collaboration with Chainlink, FHEBridge connects different blockchain ecosystems securely. It uses Chainlink's Cross-Chain Interoperability Protocol (CCIP) and a Stealth Address Protocol (SAP) based on FHE. This ensures that asset transfers between Ethereum, Polygon, Arbitrum, and BNBChain are confidential and quantum-resistant. SAP hides wallet addresses during transactions, protecting user identities and transaction histories.

5. FHE Voting System

The voting system enables private, verifiable governance across decentralized applications. Each vote is encrypted with FHE, preventing manipulation while maintaining transparency. This feature supports secure decision-making in DAOs, staking systems, and on-chain governance platforms—especially where anonymity and fairness are required.

6. Data Ownership and Monetization Layer

Mind Network empowers users to retain control over their data while still participating in the ecosystem. This means individuals can allow AI models or decentralized applications to use their encrypted data for analytics or training, without ever revealing the raw information. This structure supports use cases in decentralized science (DeSci), medical research, and personalized AI.

7. Modular Hubs and Integrations

The ecosystem includes Hubs tailored for different roles—Basic Hubs offer essential FHE infrastructure, Advanced Hubs enable industry-specific enhancements, and Partner Hubs allow collaboration with external blockchain services. These modules are extensible and allow developers, Web3 protocols, and research teams to plug into the system and build secure, interoperable solutions.

Mind Network Airdrop: Everything You Need to Know

Mind Network launched a native token airdrop to reward early participants and expand its community. Users can claim FHE tokens by connecting their wallets through the official airdrop portal. The project has committed to keeping a manual claim option open via the BNB Smart Chain for those who don’t receive tokens due to exchange issues.

To qualify for future rewards, users are encouraged to engage with the ecosystem by holding the CitizenZ Passport—a Soulbound NFT that acts as a digital identity. This NFT grants access to voting, hubs in AgenticWorld, and eligibility for future incentives and governance participation.

It's important to follow only official channels and guides when participating in the airdrop process to avoid phishing risks or incorrect claims. Mind Network has emphasized community involvement and continues to expand opportunities for contributors and token holders.

Should You Invest in Mind Network?

Mind Network offers a unique blend of privacy, encryption, and interoperability in the Web3 space. While it solves real problems in blockchain and AI, investors should always assess the project's development roadmap, partnerships, and long-term utility before making financial decisions.

Conclusion

Mind Network brings a new standard of privacy to blockchain and AI systems through Fully Homomorphic Encryption. It replaces traditional trust models with a zero-trust, encrypted-by-default framework across its core products: HTTPZ, MindChain, AgenticWorld, and FHEBridge. For users and developers, it provides tools for secure collaboration, AI autonomy, and decentralized governance.

For investors, Mind Network represents an early opportunity in a project focused on building the encrypted foundation of Web3. Like any investment in crypto, careful research and an understanding of the ecosystem are essential.

AI analysis report on Mind Network

Today's crypto market highlightsView report

Live Mind Network Price Today in USD

The live Mind Network price today is $0.09886 USD, with a current market cap of $24.62M. The Mind Network price is down by 1.36% in the last 24 hours, and the 24-hour trading volume is $25.87M. The FHE/USD (Mind Network to USD) conversion rate is updated in real time.
How much is 1 Mind Network worth in ?
As of now, the price of 1 Mind Network (FHE) in is valued at $0.09886 USD. You can buy 1 FHE for $0.09886, or 101.15344099725309 FHE for $10 now. In the past 24 hours, the highest FHE to USD price was $0.1032 USD, and the lowest FHE to USD price was $0.09628 USD.

Mind Network Price History (USD)

The price of Mind Network is +210.26% over the last year. The highest price of FHE in USD in the last year was $0.1283 and the lowest price of FHE in USD in the last year was $0.02890.
TimePrice change (%)Price change (%)Lowest priceThe lowest price of {0} in the corresponding time period.Highest price Highest price
24h-1.36%$0.09628$0.1032
7d-4.11%$0.08758$0.1013
30d-7.97%$0.08446$0.1283
90d+210.26%$0.02890$0.1283
1y+210.26%$0.02890$0.1283
All-time-0.77%$0.02890(2025-04-10, 41 days ago )$0.1283(2025-04-26, 25 days ago )
Mind Network price historical data (all time).

What is the highest price of Mind Network?

The all-time high (ATH) price of Mind Network in USD was $0.1283, recorded on 2025-04-26. Compared to the Mind Network ATH, the current price of Mind Network is down by 22.92%.

What is the lowest price of Mind Network?

The all-time low (ATL) price of Mind Network in USD was $0.02890, recorded on 2025-04-10. Compared to the Mind Network ATL, the current price of Mind Network is up by 242.10%.

Mind Network Price Prediction

What will the price of FHE be in 2026?

Based on FHE's historical price performance prediction model, the price of FHE is projected to reach $0.09614 in 2026.

What will the price of FHE be in 2031?

In 2031, the FHE price is expected to change by +40.00%. By the end of 2031, the FHE price is projected to reach $0.2978, with a cumulative ROI of +194.56%.

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FAQ

What is the current price of Mind Network?

The live price of Mind Network is $0.1 per (FHE/USD) with a current market cap of $24,616,068.17 USD. Mind Network's value undergoes frequent fluctuations due to the continuous 24/7 activity in the crypto market. Mind Network's current price in real-time and its historical data is available on Bitget.

What is the 24 hour trading volume of Mind Network?

Over the last 24 hours, the trading volume of Mind Network is $25.87M.

What is the all-time high of Mind Network?

The all-time high of Mind Network is $0.1283. This all-time high is highest price for Mind Network since it was launched.

Can I buy Mind Network on Bitget?

Yes, Mind Network is currently available on Bitget’s centralized exchange. For more detailed instructions, check out our helpful How to buy mind-network guide.

Can I get a steady income from investing in Mind Network?

Of course, Bitget provides a strategic trading platform, with intelligent trading bots to automate your trades and earn profits.

Where can I buy Mind Network with the lowest fee?

Bitget offers industry-leading trading fees and depth to ensure profitable investments for traders. You can trade on the Bitget exchange.

Mind Network Market

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  • 1
  • FHE/USDT
  • Spot
  • 0.0997
  • $782.49K
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    1 FHE = 0.09886 USD. The current price of converting 1 Mind Network (FHE) to USD is 0.09886. Rate is for reference only. Updated just now.
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    Bitget Insights

    INVESTERCLUB
    INVESTERCLUB
    1d
    Mind Network’s Mission to Mainstream Fully Homomorphic Encryption (FHE) in Web3 and Agentic AI
    $FHE As privacy concerns intensify in the age of AI and decentralized computing, Fully Homomorphic Encryption (FHE) is emerging as a game-changing technology. Mind Network is leading the charge to integrate FHE into the Web3 and Agentic AI stack — enabling encrypted computation without compromising performance or user control. In this exclusive interview, the Mind Network team breaks down how FHE works, why it matters now, and what it means for the future of privacy, DeFi, and decentralized intelligence. Understanding FHE: Vision and Value 1- Let’s start with the basics. What is Fully Homomorphic Encryption (FHE), and how does it differ from Zero-Knowledge Proofs (ZKPs) and Multi-Party Computation (MPC)? Fully Homomorphic Encryption (FHE) enables computations to be performed directly on encrypted data without ever needing to decrypt it. Unlike Zero-Knowledge Proofs, which validate results without revealing the data, or MPC, which splits computation across parties to maintain privacy, FHE allows a single party to process encrypted information — ensuring both data confidentiality and integrity throughout. 2- FHE has long been considered the “holy grail” of encryption. Why is now the right time for its mass adoption? The convergence of optimized FHE algorithms, hardware acceleration, and software improvements has drastically reduced the computational cost of FHE. At the same time, rising demand for data privacy in blockchain and AI applications makes this the ideal moment for real-world adoption. 3- Why is FHE a must-have in the Web3 and decentralized AI ecosystem — not just a nice-to-have? In decentralized AI and Web3, users need to retain control over their data. FHE ensures that even during computation, sensitive data remains encrypted. This empowers true data ownership and secure collaboration without compromising user privacy. 4- Can FHE replace ZKPs, or is it complementary? Where does it fit in the Web3 cryptographic stack? FHE and ZKPs are highly complementary. While ZKPs verify the integrity of a computation without exposing data, FHE enables the computation itself on encrypted inputs. Together, they create a powerful toolkit for privacy-preserving Web3 applications. Architecture & Technical Innovation 5- How is FHE integrated into Mind Network’s system architecture? FHE is foundational to Mind Network's architecture. It powers secure encrypted data storage, processing, and communication modules, enabling end-to-end privacy and verifiable computation. 6- How does FHE enable encrypted consensus in multi-agent workflows? Mind Network allows agents to reach consensus over encrypted data using FHE, maintaining confidentiality while verifying integrity — a key feature for secure, collaborative computation. 7- What computations does your FHE environment support? Can you run smart contracts or AI inference in real-time without decryption? Yes. Mind Network supports encrypted smart contract execution and AI model inference directly on encrypted data, ensuring confidentiality without sacrificing functionality. 8- FHE is known for performance bottlenecks. What breakthroughs have made it production-ready? We've implemented algorithmic enhancements, integrated hardware acceleration, and optimized data structures to reduce latency — bringing FHE closer to real-time performance. 9- Which FHE libraries inspired Mind Network? Have you built your SDK from scratch or built on top of existing frameworks? While frameworks like Zama, Microsoft SEAL, and TFHE have influenced the space, Mind Network developed a proprietary FHE SDK, custom-built to serve decentralized AI and blockchain needs with enhanced efficiency. Security, Privacy & Trust Framework 10- How does FHE enhance your four-pillar security model: computation, communication, consensus, and data security? FHE strengthens each layer: Computation: Data remains encrypted during processing. Communication: Encrypted data is transmitted securely. Consensus: Agents reach encrypted consensus without leaks. Data: Confidentiality is preserved end-to-end. 11- How can users trust encrypted AI outputs or smart agent decisions without seeing raw data? We pair FHE with cryptographic proofs to validate computation accuracy, ensuring trust in outcomes without compromising data privacy. 12- Are there attack vectors in FHE networks? How are you addressing risks like noise growth and side-channel attacks? Our approach includes advanced cryptography, real-time monitoring, and regular audits to mitigate threats like ciphertext malleability, noise growth, and hardware-based side-channel vulnerabilities. 13- How do agents collaborate in private while protecting their logic and inputs from each other? With FHE, agents can process and exchange encrypted data — enabling secure collaboration without revealing private logic, inputs, or outputs. Use Cases & Real-World Impact 14- What’s one real-world use case where FHE unlocked something impossible with traditional encryption? In partnership with DeepSeek, Mind Network enabled secure AI collaboration via FHE — allowing multiple agents to work on encrypted data without revealing anything, which legacy encryption couldn’t support. 15- What did FHE enable in your collaboration with DeepSeek? DeepSeek’s agents could perform encrypted AI computations while maintaining full data privacy — critical for secure, cross-agent collaboration in sensitive tasks. 16- What types of developers or industries are using your FHE SDK today? Developers from healthcare, finance, identity management, and AI sectors are leveraging our FHE tools to build privacy-first, encrypted applications. FHE Tokenomics & Ecosystem Incentives 17- How does the $FHE token power your encrypted compute economy? $FHE is used for governance, staking, and paying for encrypted compute and storage — incentivizing network participation and maintaining decentralized trust. 18- How are node operators rewarded for encrypted computation? Node operators earn $FHE based on computing resources contributed and tasks completed. Our staking and reward system discourages spam and encourages efficient processing. 19- Will $FHE also power private DeFi applications? What’s the long-term vision for its role in Web3? Absolutely. $FHE will enable privacy-preserving DeFi, data marketplaces, and decentralized applications where privacy and secure computation are essential. Challenges, Regulation & Long-Term Vision 20- What are FHE’s biggest technical limitations today — and how are you tackling them? The main challenge is latency. We’re investing in ongoing algorithmic refinement, parallelization, and hardware optimization to make FHE scalable and production-ready. 21- Could FHE face regulatory scrutiny in sectors like finance and healthcare? Yes, due to its privacy-preserving nature. Mind Network proactively engages with regulators to ensure compliance, while advocating for secure, responsible innovation. 22- In 5–10 years, how will FHE transform Web3 if widely adopted? FHE will be foundational to a new era of decentralized applications. It will empower users with full data control, enable trustless collaboration, and unlock AI systems that are private, verifiable, and censorship-resistant. 23- What is Mind Network’s ultimate mission with FHE? Our goal is to become the privacy compute layer of Web3 — delivering encrypted computation infrastructure for AI, DeFi, identity, and beyond.
    FHE-1.09%
    GAME-3.51%
    PAMSTrader
    PAMSTrader
    3d
    PRAI/USDT Analysis on Bitget – In-Depth Insight for Traders and Investors
    Privasea AI (PRAI) is a next-generation blockchain protocol enabling privacy-preserving artificial intelligence through advanced cryptographic techniques. By using Fully Homomorphic Encryption (FHE), the platform enables encrypted AI computations without exposing sensitive data. This unlocks real-world applications across healthcare, biometrics, and finance. With PRAI recently listed on Bitget, both spot and futures traders are now engaging with this emerging asset. This article explores PRAI’s fundamentals, technical setup, and trading strategies suitable for beginners and experienced traders alike. Market Sentiment Overview PRAI's listing drew considerable attention due to its positioning at the intersection of two of crypto’s hottest narratives: privacy and AI. The token experienced an initial surge to approximately 0.1200 USDT before retracing to a key support zone around 0.0675 USDT, a drawdown of about 45 percent. Despite the pullback, trading volume remains healthy and shows consistent interest across all timeframes. Fundamental Analysis Use Cases and Vision Privasea enables encrypted AI execution on decentralized infrastructure. This allows secure data processing without the need for raw data exposure. Notable applications include: * Biometric authentication for digital identity * Private medical data analytics * Encrypted enterprise AI modeling The integration of these use cases positions PRAI for potential real-world adoption, especially in industries with high regulatory sensitivity. Token Utility and Supply Total supply: 1,000,000,000 PRAI Core utilities include: * Payment for AI compute services * Rewards for node operators providing encrypted compute * Staking to secure the network and earn yield * Governance voting on protocol decisions The controlled emission schedule and multifaceted utility support long-term token value and user engagement. Technical Analysis: PRAI/USDT Key Levels * Resistance: 0.0750 to 0.0780 * Support: 0.0670 to 0.0700 * Major psychological resistance: 0.1000 * All-time high: approximately 0.1200 4-Hour Chart (Short-Term View) * Structure: Clear downtrend after peak, forming a descending wedge pattern * Momentum: RSI approaching oversold territory; MACD shows momentum flattening * Volume: Declining on recent drops, indicating seller exhaustion Short-term view suggests a possible bounce if 0.0670 continues to hold. A breakout above 0.0750 could trigger a move toward 0.0850. 1-Day Chart (Mid-to-Long-Term View) * Trend: Currently in correction following a parabolic move * Indicators: RSI neutral, MACD bearish but stabilizing * Price Action: Forming a base with lower volatility near support Daily structure implies a consolidation phase. Sustained closes above 0.0800 could confirm a bullish reversal targeting the 0.1000 area. Trading Strategies Short-Term Strategy – Based on 4H Timeframe Strategy: Range trading near support with strict stop-loss Entry zone: 0.0675 to 0.0700 Target 1: 0.0750 Target 2: 0.0780 Stop-loss: Below 0.0660 Confirmation: Look for bullish divergence, breakout candles, or wedge breakout with increasing volume. Leverage: Use low leverage (3x to 5x) to minimize risk in a volatile setup. Long-Term Strategy – Based on Daily Timeframe Strategy: Position trading and accumulation during correction Accumulation zone: 0.0670 to 0.0720 Target 1: 0.0950 Target 2: 0.1150 Stop-loss: Close below 0.0640 on a daily candle This strategy suits investors with a longer time horizon, focusing on real adoption and network growth. Risk Management * PRAI is highly volatile, especially post-listing. Use small position sizes. * Always apply stop-loss orders when trading futures. * Avoid emotional trading or chasing green candles. * Monitor broader market trends and token-specific news. Conclusion PRAI/USDT presents unique opportunities backed by a solid privacy-first AI vision. As the token continues its early price discovery, traders can benefit from short-term volatility while long-term investors assess the project's roadmap and adoption metrics. With careful execution, disciplined risk management, and awareness of technical levels, PRAI on Bitget is a pair worth watching in the evolving AI crypto sector.
    X+1.13%
    CORE+0.52%
    Mrbello
    Mrbello
    2025/05/14 17:07
    Privasea Ecosystem Insight: Privasea Token Overview. 🔥🔥
    Privasea ( $PRAI ) is an innovative project building a decentralized privacy computing infrastructure, powered by Fully Homomorphic Encryption (FHE). Its mission is to deliver efficient, user-friendly FHE solutions tailored for both Web2 and Web3 environments, with a strong focus on machine learning (ML) applications. Privasea (PRAI) stands out as an impressive and forward-thinking project, combining cutting-edge technologies like Fully Homomorphic Encryption, AI, and blockchain to deliver secure, privacy-focused solutions. Its rapid growth and strong emphasis on decentralized, verifiable AI applications across vital industries such as healthcare and finance highlight both its innovation and real-world potential. PRAI/USDT 0.08670 +1,634.00% Privasea AI Ranking: NO.927 Market cap: $17.92M Fully diluted market cap: $86.98M 24h volume/market cap: 132.38% All-time high: $0.1058 (2025-05-14) All-time low: $0.08019 (2025-05-14) Circulating supply: 206.03M Max supply: 1B Total supply: 1B Circulation rate: 20.60%
    FHE-1.09%
    PRAI-0.57%
    Pintu_Mod
    Pintu_Mod
    2025/05/14 16:15
    🚨 New Listing Alert 🚨
    $PRAI (MYX Finance) is now live on #Bitget Spot! 🎉 Trade & join the CandyBomb event to earn exclusive $PRAI airdrops! 🗓️ Promotion: 14–21 May 2025 🛡️ Powered by Privasea & Fully Homomorphic Encryption (FHE) 🔗 Details: https://www.bitget.com/support/articles/12560603827390 #Crypto #Airdrop #Web3 #Bitget #PRAI
    FHE-1.09%
    PRAI-0.57%
    Bpay-News
    Bpay-News
    2025/05/13 20:10
    Analysis: DeCC has raised over $1 billion in funding to solve the key encryption requirements of data in blockchain systems Messari released a research report, which pointed out that the field of decentralized confidential computing (DeCC) is exploding, and projects in this field have received more than $1 billion in venture capital. This capital inflow reflects the industry's growing interest in DeCC technology, and the team is focusing on practical application integration and infrastructure construction for developers. DeCC introduces the ability to protect data privacy while maintaining the inherent transparency of public blockchains, thereby enabling private computing and status without sacrificing decentralization. This technology combines encryption tools such as zero-knowledge proofs (ZKPs), multi-party computations (MPC), garbled circuits (GC), fully homomorphic encryption (FHE), and trusted execution environments (TEEs) with authentication to address key vulnerabilities faced by data in traditional and blockchain systems when in use, and enables encrypted computing without exposing plaintext. With the influx of funds, DeCC is moving from theory to actual deployment, and is expected to become a standard layer of the decentralized technology stack, supporting secure and trustless applications that were previously impossible on public infrastructure.
    S+2.03%
    LAYER+0.48%

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