Trust System
Understand the core principles of the TRAST trust system, how it evaluates Web3 entities and user contributions, and its role in creating a more reliable digital ecosystem.
Last updated
Understand the core principles of the TRAST trust system, how it evaluates Web3 entities and user contributions, and its role in creating a more reliable digital ecosystem.
Last updated
The TRAST trust system is the backbone of the platform, ensuring that information is reliable and contributions are valued appropriately. It's a multi-layered framework designed to measure and reflect the trustworthiness of both Web3 entities (like projects or tokens) and the users contributing insights.
Instead of relying on simple votes, TRAST calculates trust using a combination of factors:
Trust Levels: Users progress through levels (Novice, Verified, Trusted, Expert) which determine review impact, validation requirements, and feature access.
Activity History: Consistent, positive interactions and validated contributions increase trust over time.
Verification Status: Users and entities can undergo verification processes (). Verified status significantly boosts trust and impact, signifying a commitment to transparency.
Peer Assessment: Users can rate other users' profile accuracy, helping maintain quality and authenticity.
AI Analysis: The system uses AI (, pattern recognition) to detect anomalies, potential manipulation, and assess risk, factoring this into trust calculations.
These factors contribute to both the dynamic of Web3 entities and the internal reputation score of users.
Users progress through distinct trust levels based on their verified contributions and reputation score. Each level unlocks greater capabilities and influence:
Novice (0-100 points): New verified users start here. They have basic access and their contributions require more community validation. It's a learning phase focused on building initial credibility.
Verified (101-500 points): Users gain more features, increased visibility, and their contributions require less validation. They can participate more fully in rating and validation.
Trusted (501-1000 points): These are established contributors with a strong track record. They gain access to premium features, potentially higher rewards, moderation privileges, and their input carries significantly more weight.
Expert (1001+ points): The highest level, reserved for users demonstrating exceptional knowledge and consistent, high-quality contributions. Experts have maximum influence, access to all features, leadership opportunities, and their contributions may be auto-approved (with checks).
(Anonymous users also participate but have a baseline, limited impact compared to verified users).
Trust is earned and maintained through:
Quality Contributions: Providing accurate, well-reasoned reviews and validations.
Consistent Activity: Regularly engaging with the platform constructively.
Positive Feedback: Receiving positive peer reviews and upvotes.
Adherence to Standards: Following community guidelines and avoiding violations.
Profile Accuracy: Keeping linked information up-to-date.
The trust system is deeply integrated across TRAST:
It powers the weighting in the Trust Score calculations.
It determines access levels for features and rewards.
It influences search result rankings and visibility.
It underpins the security measures against fraud and manipulation.
A dynamic, multi-faceted trust system makes TRAST more resilient to manipulation than simple voting systems. It rewards genuine expertise and contribution, fostering a reliable ecosystem where users can confidently assess information and navigate the Web3 space.
The relies on a robust validation system where contributions (like new entity data or AI analysis checks) are reviewed by other users. The number of validations required depends on the contributor's trust level. This peer-review process, incentivized with rewards, ensures data accuracy and strengthens the collective intelligence.
See how trust levels affect voting in .
Learn about the specific factors in .
Explore how experts contribute in the .