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In a landmark collaboration between Allora Network and Mind Network, we’re proud to introduce the FHE TrustPrice Index—a groundbreaking initiative that redefines how price data is generated, secured, and consumed in decentralized finance (DeFi).

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This joint effort fuses Allora’s decentralized collective intelligence with Mind Network’s Fully Homomorphic Encryption (FHE) technology to build a tamper-resistant, institution-grade price index tailored for the next generation of DeFi applications.

Solving a Core Problem in DeFi: Trust and Privacy in Price Feeds

DeFi protocols depend on accurate and secure price data to function reliably.

Yet, current price indices remain vulnerable to manipulation and often fall short of institutional privacy requirements.

Whether it's front-running, oracle exploits, or unauthorized access to proprietary data, today’s solutions expose critical weaknesses in the infrastructure layer of DeFi.

The FHE TrustPrice Index addresses these vulnerabilities head-on by integrating Allora’s context-aware, self-improving AI with Mind Network’s encrypted computation stack.

The result is a price index that is:

• Privacy-preserving: sensitive data remains encrypted throughout the prediction and aggregation process.
  
  
• Tamper-resistant: even compromised nodes cannot decrypt or alter the data.
  
  
• Compliant: the design adheres to regulatory and institutional standards, making it attractive to enterprises.

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Allora MCP + Mind Network FHE: A First-of-its-Kind Integration

At the heart of this collaboration is a novel architecture that combines:

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• Allora’s Model Context Protocol (MCP): A decentralized network of machine learning models continuously generate and evaluate price predictions. These workers are context-aware, learning which predictors perform best under which market conditions. The resulting predictions are synthesized into a robust, consensus-based meta-inference.

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• Mind Network’s FHE Infrastructure: Enables secure, encrypted computation directly on price data. Using lattice-based cryptography (NIST’s post-quantum standard), Mind’s infrastructure ensures that computations—including model aggregation, validation, and consensus—occur entirely on encrypted inputs.

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Through this pipeline, predictive price feeds from Allora workers are aggregated within Mind Network’s FHE runtime, producing an encrypted output that is only decrypted at the final consensus stage—ensuring the inputs remain fully private throughout.

Institutional-Grade Privacy and Security

The FHE TrustPrice Index is purpose-built for institutional DeFi.

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Consider trading firms or hedge funds operating proprietary models—they can now submit predictions without ever revealing their strategies.

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Even as these models contribute to a public price index, their logic, parameters, and market signals remain confidential.

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This is more than just secure computation—it’s a new model of zero-knowledge collaboration, where competitive intelligence can shape shared infrastructure without being exposed.

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Additionally, FHE ensures that no single compromised node can alter the data or decrypt its contents, solving a longstanding security challenge in oracle systems and DeFi indexing.

Powering a New Class of DeFi Applications

The FHE TrustPrice Index is designed to become a foundational primitive for a wide range of privacy-aware DeFi use cases, including:

• Trading Bots & Agents: Automated systems can now access secure, trustworthy price feeds while protecting their algorithmic logic. With 62,000+ AI agents in Mind Network’s Agentic World alone, this opens a new frontier of safe, high-performance on-chain automation.
  
  
• Lending Protocols: Platforms like Aave and Compound can use encrypted price feeds to determine collateral values and liquidation thresholds without exposing borrower data or internal calculations.
  
  
• Decentralized Exchanges (DEXs): Enable private AMM operations, tamper-resistant pricing for LPs, and secure liquidity provisioning across high-volume venues.
  
  
• Cross-chain Finance: Paired with Chainlink’s CCIP, the encrypted index can serve as a universal data layer for cross-chain lending, derivatives, and stablecoin infrastructure.

This partnership represents a significant milestone in the emerging field of DeFAI—decentralized, privacy-preserving AI for financial systems.

As regulatory expectations rise and data privacy becomes a prerequisite, the fusion of decentralized intelligence with Allora and encrypted computation via Mind Network creates the infrastructure needed for DeFi to scale safely and compliantly.

By bringing Allora’s predictive performance together with Mind’s privacy-preserving computation, the FHE TrustPrice Index establishes a new bar for what trust and intelligence can look like in decentralized systems.

About Mind Network

Mind Network is a technology company pioneering the use of Fully Homomorphic Encryption (FHE) to build infrastructure for a fully encrypted web, particularly within the Web3 and AI ecosystem. Its core mission is to enable secure computation, validation, and consensus on encrypted data, allowing privacy-preserving operations and decision-making without ever exposing the underlying information.

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To learn more about Mind Network, visit the Mind Network website, X, and Developer Docs.

About the Allora Network

Allora is a self-improving decentralized AI network.

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Allora enables applications to leverage smarter, more secure AI through a self-improving network of ML models. By combining innovations in crowdsourced intelligence, reinforcement learning, and regret minimization, Allora unlocks a vast new design space of applications at the intersection of crypto and AI.

To learn more about Allora Network, visit the Allora website, X, Blog, Discord, Research Hub, and developer docs.