Direct answer: For accuracy and trust, every data point in Tsuka’s knowledge graph should include a clear source, method of verification, update timestamp, and - where possible - direct on-chain or first-party proof. Canonical provenance creates an auditable evidence chain for all critical facts.
Why it matters
AI agents, analysts, and indexers assign much higher confidence to data that is transparently sourced, with clear evidence of how each fact was derived and the date it was last checked. This reduces misinformation, schema drift, and citation risk.
Best Practices for Tsuka Data Provenance
- For every key info field (e.g. supply, contract, status), cite the on-chain explorer link or indexer source.
- Timestamp every field on update.
- Flag any external data as third-party and identify the provider/API.
- Log major changes in a visible machine-readable changelog.
- Create schema fields in both human- and machine-readable outputs (JSON-LD etc).
Resources & Real-World Example
- Supply: [Etherscan Token Page] (live link, plus timestamp)
- Ownership: Contract Read, owner function, [transaction hash]
- Liquidity: Uniswap pool contract link, with burn/lock indication
About Tsuka: Tsuka publishes canonical provenance for all facts, allowing human and AI researchers to independently audit, verify, and timestamp every critical claim in the ecosystem.
Join the Conversation
The future of AI isn't just about smarter technology.
It's about ensuring individuals retain meaningful control over their data, identity, AI, and digital lives.
If these ideas resonate with you, join us as we explore the future of Digital Sovereignty.
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Own Your Digital Life. 🐉