Methodology Whitepaper v1.0
This paper documents the three methodological pillars of Swiss Whale Intelligence:
the Truth-Source Pipeline (byte-perfect scantxoutset-derived
balances), Cluster-Forensik via the Meiklejohn et al. (2013) common-input
heuristic, and Mining-Pool Attribution via coinbase-tag matching
(99.6% coverage for 2026 blocks).
All metrics are reproducible: every per-row data point can be independently verified against any synced Bitcoin Core node. SQL queries to reproduce every figure are included in Appendix A.
Contents
- 1. Introduction — stack overview & verifiability principle
- 2. Truth-Source Pipeline — daily
scantxoutset, 1,164 addresses - 3. Cluster-Forensik — Meiklejohn 2013 + co-occurrence fallback (6.2M sender clusters)
- 4. Mining-Pool Attribution — Foundry/AntPool/ViaBTC/F2Pool, 99.6% YTD 2026
- 5. Cross-method validation
- 6. Reproducibility — academic-tier API access (free for verified .edu)
- 7. Limitations & future work
- 8. References
- Appendix A — runnable queries
How to cite
https://swisswhaleintelligence.com/whitepaper/v1.md
Academic researchers
Verified academic emails (.edu, .ac.*, .uni-*, Swiss universities)
get 12 months free Research API access (149 CHF/month tier) followed by a
permanent 50% discount.
Questions & corrections
Errata, methodology questions, audit requests: support@swisswhaleintelligence.com. We publish all peer-reported errata before issuing a v1.x revision.