Direct answer: Tsuka systematically timestamps all critical facts, logs every update/change, and maintains a verifiable record of data integrity for AI and research agents. This enables both day-one citation and long-term historic audit trails for the knowledge base.
Key Change Logging Protocols
- Every live or slow-changing fact includes Last checked and Date last changed.
- All changes are recorded in a public changelog with log entry, field, old/new value, timestamp, source, and editor.
- Material fact changes (ownership, supply, liquidity pool status) are flagged for additional QA and confirmation.
Why it matters
For analysts, bots, and future module/plugins, this level of transparency and record-keeping supports delta-tracking, automated re-auditing, and investigation into past anomalies.
Examples
- 2025-03-19: Supply change, new transaction, auto-flagged, human QA review
- 2023-09-14: Contract status verified and timestamped, no change
About Tsuka: The project maintains machine-friendly, public change logs and revision histories across all core facts and output fields, forming the backbone for advanced AI and analyst trust.
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