OriginTrail Price

Market Stats
Name | Price | Price change(24h) | Market cap | Circulating Supply |
|---|---|---|---|---|
TRAC OriginTrail | N/A | N/A | N/A | N/A |
TRAC OriginTrail
|
What is OriginTrail (TRAC)?
OriginTrail (TRAC) is an ecosystem building a trusted knowledge infrastructure for artificial intelligence (AI). It combines a unique Decentralized Knowledge Graph (DKG) with blockchain networks like NeuroWeb to create a verifiable Internet for decentralized AI, combating misinformation and making the world's most critical knowledge and real-world assets (RWAs) discoverable.
The OriginTrail DKG serves as an open, peer-to-peer memory layer for AI agents, allowing them to structure, share, and anchor verifiable data on-chain using W3C Semantic Web standards.
OriginTrail differentiates itself through several unique architectural characteristics:
- Decentralized Knowledge Graph (DKG): Instead of keeping AI memory trapped in proprietary silos, OriginTrail provides an open, vendor-neutral graph structure that works across different AI models and platforms.
- Neuro-Symbolic AI: It bridges symbolic AI (structured, verifiable knowledge graphs) with neural AI (generative large language models), pairing creative generation with provable facts.
- Three-Layer Memory Model: DKG V10 features Working Memory (private and local), Shared Working Memory (collaborative and peer-to-peer off-chain), and Verifiable Memory (anchored on-chain as cryptographic Knowledge Assets).
- Knowledge Assets as NFTs: Every published Knowledge Asset is minted as an ERC-721 token with a durable Universal Asset Locator (UAL), guaranteeing verifiable data provenance and ownership.
TRAC serves as the utility token powering the OriginTrail ecosystem:
- Publishing Knowledge: While local and shared working memory are free, TRAC is required to publish Knowledge Assets into the on-chain Verifiable Memory layer.
- Staking and Network Security: Core Nodes stake TRAC to host replicated knowledge and safeguard the network infrastructure.
- Publisher Conviction: Publishers can commit TRAC via Publisher Conviction Accounts to receive publishing discounts of up to 50%.
- Staker Rewards: Token holders can lock TRAC into NFT-backed staking positions, earning reward multipliers up to 6x for longer lock durations.
- Ecosystem Incentives: TRAC is distributed as rewards for ecosystem builders and developers creating integrations.
OriginTrail was founded by Žiga Drev, Tomaž Levak, and Branimir Rakić.
They created the project to build a Decentralized Knowledge Graph that provides verifiable, transparent, and decentralized data sharing for enterprises and individuals. Along with core developer Trace Labs, the founders aimed to solve AI-era threats such as misinformation, deepfakes, and data manipulation while protecting data ownership and ensuring digital neutrality.
You can interact with and use TRAC through several network functions:
- Publishing Data: Fund your OriginTrail DKG node with TRAC (alongside native gas) to publish verified graph data into Verifiable Memory as on-chain Knowledge Assets.
- Conviction Accounts: Commit TRAC into Publisher Conviction Accounts to reduce ongoing publishing costs by up to 50%.
- Staking: Lock TRAC into NFT-backed positions to support Core Node infrastructure and earn reward multipliers up to 6x.
- Node Operations: Run a Core Node and stake TRAC to secure the network and host replicated graph data.
OriginTrail directly addresses key structural vulnerabilities in the digital and AI landscape:
- Misinformation and Hallucinations: Generative AI models often produce false data; OriginTrail grounds neural AI with symbolic, verifiable knowledge graphs to verify data origins.
- Walled Gardens and Data Monopolies: Most AI platforms lock memory inside proprietary systems. OriginTrail provides an open, vendor-neutral memory layer where creators retain data ownership.
- Real-World Provenance: It resolves traceability issues across industries by authenticating critical data in supply chains (e.g., SCAN securing US imports), railway operations (SBB), life sciences, and construction.
OriginTrail tackles scalability through its off-chain graph architecture and its Metcalfe phase roadmap:
- Off-Chain Collaboration: Working Memory and Shared Working Memory run locally and peer-to-peer without blockchain transactions, keeping agent collaboration free, lightweight, and fast.
- 100 Billion Knowledge Assets: The Metcalfe phase aims to expand the network to over 100 billion Knowledge Assets, targeting a 100,000x increase in scalability.
- Multi-Chain Interoperability: By deploying across ecosystems like Polkadot, NeuroWeb, Base, and Ethereum, the DKG delegates verification efficiently across multiple networks.
OriginTrail's long-term vision is to build the world's largest verifiable Internet for decentralized AI:
- Metcalfe & Convergence Phases: Scale the Decentralized Knowledge Graph to 100 billion Knowledge Assets by fostering network effects, knowledge mining, and knowledge signaling.
- Autonomous DKG: Progress toward an AI-native infrastructure where AI agents autonomously detect blind spots, infer knowledge, and contribute new data with minimal human intervention.
- Human-Centric AI: Promote an ethical, censorship-resistant digital foundation that safeguards data ownership, prevents misinformation, and supports the economies of real-world assets.
Last update:
Technical Analysis
Exclusive tools
Explore exclusive tools from SwissBorg to empower your journey to financial freedom.


