What is wallet graph analysis?
Wallet graph analysis represents addresses as nodes and observable relationships as edges. The graph becomes useful when every edge has a clear meaning — for example a direct transfer, transaction co-occurrence or funding relationship — rather than simply drawing lines between wallets.
The edge matters more than the picture
| Graph edge | What it can support | What it does not prove |
|---|---|---|
| Direct transfer | Value moved between addresses. | Common owner or intent. |
| Transaction context | Addresses appeared in related activity. | That they represent the same entity. |
| Shared funding source | Wallets received funds from a common source. | That the source controls the recipients. |
| Repeated relationship | The connection recurred over time. | Malicious coordination by itself. |
Basic relationships vs multi-hop graphs
AYZO Free currently exposes basic relationship intelligence where evidence supports it. Deeper wallet relationships are part of the Pro direction, while full multi-hop wallet graph capability is positioned for Advanced. The purpose of the deeper graph is to follow relevant relationships beyond a single direct interaction without flattening different evidence types into one claim.
When wallet graphs are useful
- Following related wallets beyond a single transfer.
- Investigating shared funding or repeated transaction patterns.
- Understanding how major token holders interact.
- Separating a direct connection from a multi-hop path.
Try the live AYZO workflow
AYZO Hub Alpha currently includes 3 free analyses every 24 hours. Network depth and provider coverage can vary, so the product keeps limitations visible when an evidence layer cannot support a stronger conclusion.