Intuition (TRUST) Project Introduction: Building Trust Infrastructure for Web3, Connecting Data, Identity, and Reputation

11/6/2025, 4:32:54 AM
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Intuition (TRUST) builds foundational trust infrastructure for Web3 by verifying relationships on-chain to connect identity and data. Following the completion of Beta testing, Intuition released ecosystem maps for Base and Arbitrum.

Project Overview: Trust as an Asset


Image: https://www.intuition.systems/

Within decentralized networks, verifying identity and data authenticity poses significant challenges. Intuition (TRUST) introduces the “Trust as an Asset” framework, harnessing blockchain and cryptographic graph technologies to record endorsements of individual or institutional actions on-chain, creating a transparent and verifiable trust network.

Intuition empowers users to create, share, and validate reputation data across platforms, directly addressing the persistent “information silos” and “fragmented identities” that have long plagued Web3 applications.

Technical Core: Verifiable Trust Relationship Graph

The project’s core innovation is the Verifiable Relationship Graph, enabling users to cryptographically endorse others’ actions or data. These endorsements collectively form a decentralized “trust graph.”

This design allows Web3 applications to confirm information authenticity without relying on centralized databases, establishing a foundation for decentralized social networks, credit scoring, AI data validation, and more.

Beta Test Completed, Technical Validation Achieved

During its Beta testing phase, Intuition enhanced transaction throughput, security protocols, and user experience. The team gathered thousands of feedback entries and successfully demonstrated trust relationship cross-chain calls and data synchronization. Intuition’s core mechanisms are now ready for mainnet deployment.

Ecosystem Development: Strategic Partnerships with Base and Arbitrum

Intuition has officially revealed ecosystem integration maps with Base and Arbitrum. By embedding trust data services into Layer 2 networks, developers can directly access Intuition’s trust interfaces in these ecosystems. This streamlines user verification and data sharing.

This open architecture positions Intuition as more than a standalone project—it’s poised to become the underlying trust middleware for Web3 applications.

Token and Economic Model

The TRUST token serves multiple key functions within the network:

  • Staking for node operation and governance voting;
  • Rewarding contributors who provide valid trust data;
  • Functioning as a protocol fee across ecosystem applications.

Total supply is 50 million tokens, with an initial circulating supply of 25%. The model prioritizes sustainable governance and long-term ecosystem incentives.

As of November 6, 2025, TRUST trades at approximately $0.21. To trade TRUST, visit: https://www.gate.com/trade/TRUST_USDT

Use Cases and Future Directions

Intuition’s strongest application prospects are in three areas:

  • Web3 social platforms: Building authentic identity networks through on-chain reputation;
  • DeFi lending: Delivering more precise credit scoring via trust data;
  • AI training data: Supplying reliable datasets through verifiable on-chain relationships.

Looking ahead, as AI and blockchain technologies further converge, Intuition’s trust layer will serve as a vital bridge between machine algorithms and human judgment. This connection will be increasingly important for future applications.

Conclusion

Intuition (TRUST) establishes a new foundation for Web3—the Trust Layer. By enabling cross-chain verification, decentralized identity, and encrypted trust graphs, it ensures real credibility and economic value for on-chain data. This sets the stage for the next era of Web3 built on trust.

Author: Max
* The information is not intended to be and does not constitute financial advice or any other recommendation of any sort offered or endorsed by Gate.
* This article may not be reproduced, transmitted or copied without referencing Gate. Contravention is an infringement of Copyright Act and may be subject to legal action.

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