OriginTrail
TRAC- Analisado
- 3 de out. de 2026
- Motor
- v5.2.0
- Calculado
- 2026-10-03 05:15 UTC
- Hash de entradas
- cf28a202fdc6
O Pro desbloqueia OriginTrail por completo. Variação, cenário, sinal, fatores de risco, catalisadores.
Pesquisa, não constitui aconselhamento financeiro. Leia os termos.
Evidências dos pilares
Conjunto de dados 3 de out. de 2026. 6 fontes, 12 citações.Em inglês
Sustentabilidade76
Transparência82
Receita66
Inovação81
Comunidade74
Tokenomics61
Fontes
- 1origintrail.ioCitado por Sustentabilidade, Transparência, Receita, Inovação, Comunidade, Tokenomics
- 2coinmarketcap.com/currencies/origintrail/Citado por Sustentabilidade
- 3dkg.origintrail.ioCitado por Transparência
- 4defillama.comCitado por Receita
- 5coingecko.com/en/coins/origintrailCitado por Inovação, Tokenomics
- 6twitter.com/origin_trailCitado por Comunidade
Sobre OriginTrail
Análise de 3 de out. de 2026Em inglês Tradução pendente: esta análise é apresentada em inglês.
OriginTrail builds a Decentralized Knowledge Graph (DKG) for verifiable AI, supply-chain traceability, and enterprise data provenance. The project connects blockchain attestations, semantic data, and NeuroWeb infrastructure so organizations can publish knowledge assets that AI systems can query with clearer source lineage.
Visão geral completaMostrar menos
Current source checks show roughly 450M TRAC circulating from a 500M max supply and a market cap near $113M-$115M. A major May 18, 2026 liquidity event added TRAC trading on Upbit across KRW, BTC, and USDT markets.
That listing boosted access and volume, but the core thesis remains enterprise adoption of trusted data workflows across supply chains, transportation, standards, life sciences, construction, DeSci, and AI agent memory.
Tese de investimento
OriginTrail is a focused bet on the idea that AI systems will need reusable, verifiable data products rather than opaque web scraping alone. The DKG gives enterprises a way to structure and attest data for supply-chain integrity, standards compliance, transportation traceability, and knowledge retrieval by AI agents.
Tese completaMostrar menos
Evidence remains stronger on infrastructure and partnerships than on token cash flow: the project highlights real-world solution categories such as SCAN trusted factories, SBB railway traceability, standards and construction data, while TRAC utility depends on publishing, staking, and network usage. Upbit listing in KRW, BTC, and USDT materially improves market access, especially for Korean liquidity, but it is not by itself a fundamental upgrade.
The investment case improves if knowledge-asset growth converts into recurring usage fees and if decentralized provenance becomes a compliance requirement for enterprise AI.
Pontos fortes
- Clear technical niche: a blockchain-anchored Decentralized Knowledge Graph for trusted AI, provenance, and machine-readable knowledge assets
- Enterprise use cases are concrete rather than purely speculative, spanning supply-chain data integrity, SBB transportation traceability, standards, construction, healthcare, and DeSci workflows
- May 18, 2026 Upbit listing opened KRW, BTC, and USDT markets, broadening liquidity and direct Korean fiat access after years as a more niche AI infrastructure token
- Multichain deployment through Ethereum, Base, Gnosis, and NeuroWeb gives TRAC broader settlement and staking surface than a single-chain data protocol
- Fixed 500M max supply limits long-term dilution, with roughly 90% already circulating as of the July 2026 refresh
Riscos
- Token demand still needs clearer linkage to enterprise DKG usage, because partnerships and knowledge assets do not automatically translate into strong TRAC fee capture
- Upbit-driven liquidity can reverse quickly; TRAC is trading well below the immediate listing-spike levels by July 2026
- Centralized knowledge-graph, cloud AI, and data-governance vendors may satisfy many enterprise buyers without requiring a public token model
- Remaining token unlocks are smaller than earlier supply increases but can still pressure price if network demand grows slowly
- Execution risk is high because supply-chain and standards integrations often require slow procurement, data-cleaning, and compliance cycles
Posição competitiva
OriginTrail is differentiated by combining semantic knowledge graphs with blockchain-backed provenance, positioning TRAC between AI infrastructure, data governance, and supply-chain verification. Compared with centralized graph databases and cloud AI tools, its advantage is multi-party verifiability and shared data ownership; its weakness is added operational complexity and less proven enterprise budget capture.
Posição completaMostrar menos
The project has stronger real-world framing than many AI tokens because its DKG maps directly to traceability, standards, transportation, and industrial data problems. However, the market will likely demand evidence that knowledge assets and publishing activity produce durable protocol revenue, not only impressive ecosystem claims.
Conclusão
OriginTrail remains a credible AI infrastructure token with unusually specific enterprise and supply-chain fundamentals. The May 2026 Upbit KRW/BTC/USDT listing improves access, but the real question is whether DKG knowledge assets become recurring, token-linked demand.
Conclusão completaMostrar menos
With a 74/100 STRICT score, 6/10 risk, and base target above the July analysis price, ACCUMULATE is appropriate for investors who accept long enterprise adoption cycles and execution risk.