Mind Network × Allora: Introducing the FHE TrustPrice Index for DeFAI

As DeFi advances, ensuring the integrity, privacy, and security of financial data is becoming essential for the next generation of decentralized applications.

Mind Network and Allora have jointly launched the FHE TrustPrice Index, a secure and privacy-preserving oracle designed for the era of DeFAI (Decentralized Financial AI). By enabling agents to submit encrypted predictions and protocols to access verifiable price signals, this index forms a trusted foundation for intelligent, secure, and compliant DeFi coordination.

To demonstrate practical implementation, Mind Network has open-sourced Mind Voter, a prototype agent that fetches, encrypts, and submits BTC price data to Allora’s decentralized network.

🔗 GitHub: mind-voter-btc-index-allora

Trust That Can Be Computed: From Prediction to Privacy

At the core of the FHE TrustPrice Index are two essential components:

1. Fully Homomorphic Encryption (FHE) provided by Mind Network, which allows data to remain encrypted throughout the entire computation and aggregation process.
2. Allora’s decentralized network of price prediction agents, which deliver high-precision forecasts using its Multi-Agent Consensus Protocol.

Together, these technologies allow thousands of Allora agents to submit encrypted price predictions. Mind Network performs aggregation using homomorphic computation, revealing only the final index while preserving the privacy and security of all intermediate data.

This architecture ensures that the resulting price index is verifiable, privacy-first, and resistant to manipulation.

Why the FHE Index Matters for DeFAI

DeFAI represents a new architecture of decentralized finance enhanced by artificial intelligence and agent-based computation. In this emerging landscape, autonomous agents execute tasks, process sensitive information, and coordinate across trust boundaries.

To support this model, key requirements must be met:

• Secure processing of confidential strategies and market signals
• Compliance with institutional standards for privacy and data protection
• Reliable pricing infrastructure for DeFi protocols including lending, trading, and derivatives

Traditional plaintext data aggregation cannot address these requirements. The FHE TrustPrice Index is designed specifically to meet these challenges.

Privacy Protection

Prediction agents often rely on proprietary algorithms and private data. Sharing this information in plaintext would expose intellectual property and create security risks. FHE ensures that each agent’s data remains encrypted throughout the process, maintaining competitive privacy while enabling collective insight.

Tamper-Resistant Security

Price indices serve as a foundational layer for DeFi. If a single node or data source is compromised, the entire system may be at risk. With FHE, even if a computation node is attacked, the encrypted data cannot be read or altered. This significantly enhances the robustness of the index.

Compliance and Institutional Access

Institutional participants require strict adherence to regulatory frameworks such as GDPR and financial data protection standards. FHE enables end-to-end encrypted computation, allowing institutions to access accurate pricing information without exposing sensitive internal data. This positions the index as a gateway for institutional adoption.

Use Cases Across DeFAI

The FHE TrustPrice Index supports a wide range of applications within the DeFAI ecosystem.

Trading Agents and Bots

Over sixty thousand agents in the Mind Network Agentic World can access the index to execute trading strategies including arbitrage and market-making. With privacy preserved, proprietary algorithms are protected, supporting more advanced and secure autonomous trading systems.

Decentralized Exchanges

DEX platforms such as Uniswap and SushiSwap can utilize the index as a pricing reference for token swaps and liquidity pool calculations. The encrypted aggregation process prevents manipulation while safeguarding the privacy of contributing agents.

Lending and Liquidation Protocols

Protocols like Aave and Compound rely on accurate pricing to assess collateral, calculate loan-to-value ratios, and trigger liquidation events. With the FHE index, these processes can be carried out securely without exposing user or protocol-sensitive information.

Cross-Chain Integration

The FHE TrustPrice Index is designed to integrate with platforms like Chainlink through CCIP. This enables compliant, privacy-preserving price feeds across chains, providing essential infrastructure for cross-chain DeFi.

Building a Secure Foundation for DeFAI

Allora delivers decentralized intelligence through its network of predictive agents. Mind Network provides the privacy-preserving infrastructure necessary for secure computation. The launch of the FHE TrustPrice Index is a major step forward in building the next layer of trust for decentralized financial systems.

In this architecture, agents can contribute encrypted insights, protocols can make informed decisions, and institutions can confidently participate in the ecosystem. The index enables intelligent coordination while upholding the principles of privacy, decentralization, and compliance.

Outlook

The next generation of Web3 will depend on secure, intelligent computation. Autonomous agents, encrypted workflows, and decentralized collaboration will define how finance is built and used.

The FHE TrustPrice Index is Mind Network and Allora’s joint response to these needs. It is a live implementation of encrypted intelligence, offering real utility for DeFi today and a critical foundation for DeFAI tomorrow.

Explore the FHE TrustPrice Index and start building the future of decentralized financial intelligence.

About Allora

The Allora Network is a state-of-the-art protocol that uses decentralized AI and machine learning (ML) to build and deploy predictions among its participants. It offers actors who wish to use AI predictions a formalized way to obtain the output of state-of-the-art ML models on-chain and to pay the operators of AI/ML nodes who create these predictions.

Allora bridges the information gap between data owners, data processors, AI/ML predictors, market analysts, and the end-users or consumers who can execute these insights. The AI/ML agents within the Allora Network use their data and algorithms to broadcast their predictions across a peer-to-peer network, and they ingest these predictions to assess the predictions from all other agents.

The network consensus mechanism combines these predictions and assessments and distributes rewards to the agents according to the quality of their predictions and assessments. This carefully designed incentive mechanism enables Allora to continually learn and improve, adjusting to the market as it evolves.

About Mind Network

Mind Network pioneers quantum-resistant Fully Homomorphic Encryption (FHE) infrastructure, powering a fully encrypted internet through secure data and AI computation. In collaboration with industry leaders, Mind Network is establishing HTTPZ — a Zero Trust Internet Protocol — to set new standards for trusted AI and encrypted on-chain data processing in Web3 and AI ecosystems.

Mind Network is backed by notable investors including Binance Labs, Cogitent, Hashkey, Animoca Brands, Chainlink, and has received two Ethereum Foundation Grants for its FHE research. Partnering with industry leaders like Zama, Mind Network is building a fully encrypted infrastructure, committed to realizing the vision of HTTPZ for the next generation internet.

Visit Our Website and Social Media Channels:

Website | Twitter | Medium | YouTube | Github | Gitbook Discord | Telegram