Basic
Analysis designed for high volumes, suggested for wallets that run micropayments or lower values.
It can also be used as a pre-filter to detect signals that warrant a deeper analysis for certain wallets.
We offer a virtual wallet analysis based on the depth our client needs: Basic, Standard, or Expert. Each depth delivers different levels of the signals.
Basic
Analysis designed for high volumes, suggested for wallets that run micropayments or lower values.
It can also be used as a pre-filter to detect signals that warrant a deeper analysis for certain wallets.
Coverage
Ecosystem Presence signal across 15 networks (including: eth, polygon, bsc, avalanche, arbitrum, gnosis, base, optimism, among others).
Portfolio Quality signal across more than 38 networks (including: eth, polygon, bsc, avalanche, arbitrum, gnosis, base, optimism, among others).
Origin of Funds signal on the two networks with the most wallet transactions; the first 100 inbound funding transactions are analyzed on each.
Recent Activity signal for the last 15 days on the two networks with the most wallet transactions.
Additionally, whether the wallet is flagged as sanctioned on official OFAC lists is analyzed.
Deliverables
SynchronousThe call returns immediately with the full package ready to consume in your flow.
Package
Integrity and verification
Chain![]()
Standard
A complete analysis of the signals associated with a wallet. It offers a one-level analysis of the origin of funds.
Recommended when you want a more detailed filter on a wallet’s information or when the amount involved is larger.
Coverage
Ecosystem Presence signal across 100 networks (including: eth, polygon, bsc, avalanche, arbitrum, gnosis, base, optimism, among others).
Portfolio Quality signal across more than 38 networks (including: eth, polygon, bsc, avalanche, arbitrum, gnosis, base, optimism, among others).
Origin of Funds signal on the five networks with the most wallet transactions; the first 250 inbound funding transactions are analyzed on each.
An additional origins analysis on the two wallets that sent the most funds into the analyzed wallet within those transactions.
An additional analysis that evaluates whether all wallets that funded the analyzed wallet were sanctioned on official OFAC lists.
Recent Activity signal for the last 45 days on the five networks with the most wallet transactions.
Additionally, whether the wallet is flagged as sanctioned on official OFAC lists is analyzed.
Deliverables
AsynchronousRequested via API; when processing finishes you are notified by email with the analysis PDF, or you can view the result in the same dashboard.
Package
Integrity and verification
Chain![]()
Expert
A deep analysis not only in number of transactions but also in number of networks.
It offers an analysis that covers the counterparties with the most interaction and a two-level analysis of the origin of funds.
Coverage
Ecosystem Presence signal across 100 networks (including: eth, polygon, bsc, avalanche, arbitrum, gnosis, base, optimism, among others).
Portfolio Quality signal across more than 38 networks (including: eth, polygon, bsc, avalanche, arbitrum, gnosis, base, optimism, among others).
Origin of Funds signal on the ten networks with the most wallet transactions; the first 500 inbound funding transactions are analyzed on each.
An additional two-level origins analysis on the five wallets that sent the most funds into the analyzed wallet within those transactions.
An additional analysis that evaluates whether all wallets that funded the analyzed wallet were sanctioned on official OFAC lists.
Recent Activity signal for the last 90 days on the ten networks with the most wallet transactions.
A basic origin-of-funds analysis on the five wallets with the most interaction during that period.
Additionally, whether the wallet is flagged as sanctioned on official OFAC lists is analyzed.
Deliverables
AsynchronousRequested via API; when processing finishes you are notified by email with the analysis PDF, or you can view the result in the same dashboard.
Package
Integrity and verification
Chain![]()
Each part of the analysis is built from internal signals the recipient can read and audit. Below we explain what they measure and what information they convey so the recipient can make an informed decision.
01 / 04
A map of which networks the wallet appears on, how continuous that presence is, and how intensely it operates across chains.
| Internal signal | How it informs the decision |
|---|---|
| 01Number of networks with activity | How many distinct blockchains show a footprint. More networks can mean diversified operations or a wider surface to review. |
| 02Multi-network activity age | How long on-chain traces exist across networks. Helps separate brand-new wallets from longer trajectories. |
| 03Recently active networks | Which networks show movement in short windows (e.g. 30 or 90 days). Separates historical presence from current use. |
| 04Share of dormant networks | How much of the footprint is inactive. Avoids over-reading old networks with no recent activity. |
| 05Consistency across networks | Whether behavior is stably distributed or unevenly concentrated across chains. |
| 06Recency of latest activity | How recent the last relevant trace is. Indicates whether the wallet still looks active or abandoned. |
| 07Presence in core ecosystems | Whether it operates on market-reference networks. Adds maturity and environment context. |
| 08Footprint concentration | Whether multi-network history is spread out or dominated by a few chains. |
| 09Longevity per network | Signals of lasting presence on specific chains versus pass-through behavior. |
| 10Cross-network intensity | In Standard and Expert: transaction intensity across chains, primary network, and relative weight. Basic focuses on presence footprint. |
The analysis emphasizes signals, with auditable detail. The recipient should take the signals provided and apply their own decision model to decide whether to interact with the wallet. Even if the analysis includes some form of score, it is delivered for information only and must not be used as a decision source.