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OriginTrail
OriginTrailTRAC

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Market Stats

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Price
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TRAC

TRAC

OriginTrail

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TRAC

TRAC

OriginTrail

  • Price

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    Price change(24h)

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    Market cap
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    N/A 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 can be bought on the SwissBorg app with just a few clicks. Download the app for Android or iOS and exchange cryptos instantly at the best price.

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.

OriginTrail DCA calculator (TRAC/USD)

Simulate a recurring OriginTrail purchase: pick an amount, a frequency and a period to see what dollar-cost averaging into TRAC would have returned, based on SwissBorg's historical prices.

Dollar-cost averaging (DCA) means buying a fixed amount of a crypto at regular intervals, whatever its price. Each purchase gets more units when the price is lower and fewer when it is higher, which spreads your entry price over time.

Discover DCA performance for other tokens

Simulation based on historical prices, without fees. Past performance is not indicative of future results.

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