OriginTrail has spent years working on a problem that is only now becoming obvious: AI needs information it can trace and verify.
Its Decentralized Knowledge Graph gives AI agents a shared layer of context, with provenance attached to the knowledge they use.
TRAC has a fixed supply of 500 million tokens, all already in circulation, and is used to publish Knowledge Assets and compensate the nodes hosting them.
The more agents begin to make decisions and interact with the real world, the more valuable this infrastructure becomes.
Reliable AI will depend heavily on knowing whether the information behind an answer can actually be trusted.
TRAC may have already found a bottom, although I would still wait for clearer price confirmation and better alignment with the broader market.
If both arrive, a move back toward its previous all-time high becomes a realistic scenario.
Its Decentralized Knowledge Graph gives AI agents a shared layer of context, with provenance attached to the knowledge they use.
TRAC has a fixed supply of 500 million tokens, all already in circulation, and is used to publish Knowledge Assets and compensate the nodes hosting them.
The more agents begin to make decisions and interact with the real world, the more valuable this infrastructure becomes.
Reliable AI will depend heavily on knowing whether the information behind an answer can actually be trusted.
TRAC may have already found a bottom, although I would still wait for clearer price confirmation and better alignment with the broader market.
If both arrive, a move back toward its previous all-time high becomes a realistic scenario.
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