CrowdIntelDefinition
What is Wallet clustering?
The process of grouping blockchain wallets that are likely operated by the same entity, using shared funding sources, timing correlation, and behavior similarity.
In detail
A single person can operate thousands of blockchain wallets. Wallet clustering algorithms infer common ownership from public on-chain evidence — shared funders, overlapping counterparties, correlated trade timing, similar gas-price fingerprints, or identical bet-sizing ladders. On Polymarket, clustering matters because one entity operating multiple wallets can inflate apparent crowd consensus, execute front-running, or hide insider activity across many small accounts.
How CrowdIntel measures it
CrowdIntel's ClusterDetector combines two clustering signals: (1) shared funding source via 1-hop USDC trace, and (2) timing cluster — wallets betting on the same market within a 60-minute window. Clusters of size ≥3 meeting minimum trade volume are persisted to the investigations table and scored for win-rate anomalies.
Frequently asked
How accurate is 1-hop funding clustering?
Good for catching naive Sybils (wallets funded directly from one source) and known exchange hot-wallets. Breaks against sophisticated operators who use multi-hop laundering or CEX withdrawals to fresh addresses.
Does wallet clustering violate privacy?
All data comes from the public Polygon blockchain; no off-chain identifiers are used. The technique is analogous to chain-analysis firms (Chainalysis, Elliptic) used by regulators and exchanges.
What's the difference between a funding cluster and a timing cluster?
Funding cluster = shared money source. Timing cluster = same market, same direction, similar time — without requiring shared funding. Both are separate signals; CrowdIntel tracks each independently and combines them for composite scoring.
Related terms
- Funding cluster
A group of Polymarket wallets that received their initial USDC from the same source address and often coordinate trades — a signature of Sybil behavior or organized insider activity.
- Polymarket insider
A Polymarket trader who bets with non-public information or against the consensus and wins at rates statistical models cannot explain by skill alone.
- On-chain trading analysis
The practice of drawing trading insights directly from blockchain transaction data rather than exchange-reported metrics — enabling verifiable, un-gameable analytics.
- Polymarket whale
A Polymarket wallet that trades significantly larger positions than the median user — typically $5,000+ per bet or $100,000+ lifetime volume.