Intuition’s On-Chain Knowledge Graph, Trust Signals, and TRUST Token
Summary
The article presents Intuition as a blockchain protocol for creating, attesting to, curating, and querying claims about facts, identities, and reputation. Its knowledge graph uses identifiers called Atoms and subject-relation-object Triples, with human or AI participants able to support or challenge claims. The described incentive model uses staking, curation rewards, query fees, and penalties for backing inaccurate information. The TRUST token is assigned roles in staking, governance, network operations, and access to data.
The document also outlines a Base-settled Layer-3 architecture, a Rust indexing service, token allocations, and claimed throughput and transaction-cost characteristics. These details explain the proposed system rather than establish its adoption, security, or real-world reliability. Funding, partnerships, exchange listing information, and technical performance figures are presented by the article and are not independently substantiated there. The material is a protocol and token overview, not an assessment of TRUST’s investment value or trading performance.
Key ideas
- Intuition represents claims and relationships as composable on-chain knowledge graph data.
- Participants can stake tokens to support or challenge claims, with rewards and penalties tied to curation.
- TRUST is described as serving governance, staking, data access, and network operation functions.
- The architecture combines a Base-settled Layer-3 network with off-chain indexing services.
- The article describes intended design and claimed capabilities but provides no independent performance assessment.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.