WalletDNA

For Investigators & Analysts

Follow the money.
You decide where it ends.

An investigation canvas you drive across 18 chains. Expand what matters, cut the noise without hiding it, follow funds through bridges, and find the off-ramps where a recipient becomes reachable. The tracing judgment stays yours.

No auto-trace, on purpose.

WalletDNA will not build the graph for you from a few criteria. A trace assembled by a tool looks authoritative and falls apart the moment somebody asks why it stopped where it stopped. Your reasoning is what makes a trace defensible, so the tool gives you a sharper instrument and leaves the reasoning where it belongs.

Where it fits in your caseload

Theft and scam recovery

Follow funds from the victim's wallet through the hops that follow, past the peel chains and consolidation wallets, to wherever the trail reaches a service that knows who its customer is.

Corporate and internal investigations

Trace outbound transfers from a company or employee wallet, establish where value went and when, and produce a record that survives being handed to counsel or an insurer.

Exchange and fintech fraud teams

Screen an address before onboarding or before releasing funds, see indirect exposure rather than only direct hits, and document the basis for a decision to freeze or to let it through.

Counterparty due diligence

Check who a wallet has actually transacted with before a deal, a payment, or a listing, with sanctions screening and attribution rather than a bare score.

Insurance and fidelity claims

Establish what moved, when, and to where, with a dated report and evidence links a loss adjuster can verify independently rather than take on trust.

Supporting law enforcement referrals

Package a trace so an agency can act on it: the off-ramp, the dates, the amounts, the attribution and its sources, in a document that stands on its own. See walletdna.com/government.

What you get

A canvas you drive

Expand the counterparties worth expanding, prune the ones that are not, annotate what you found, and save the graph to come back to. Try it without an account at walletdna.com/canvas/demo.

Noise control that says what it hid

Busy wallets bury the trail in dust and spam. Filters cut that down, and anything a threshold removes is still reported in aggregate, because a hidden below-threshold cluster is exactly what structuring and peeling look like.

The trail does not stop at a bridge

When funds cross to another chain, the recipient on the destination chain is decoded from the deposit and offered as a linked continuation, so a bridge is a step in the trace rather than the end of it.

Off-ramps, which is where identity becomes reachable

Deposits into exchanges and other regulated services are surfaced by name and date. That is the point where a subpoena or an agency request can attach a person to an address, and no amount of on-chain work substitutes for it.

Attribution with its sources attached

Every label carries a confidence tier and the sources behind it, so you can say why an address is called what it is called. The scoring model and its limitations are published at walletdna.com/methodology.

Monitoring while the case is open

Watch the wallets in a trace and get told when they move, by email or Telegram, with a value threshold and direction filter so a busy address does not bury the alert that matters.

Work that survives scrutiny

Reports carry a content hash anyone can verify, an optional analyst sign-off in your name and credential, and an Excel workpaper with a methodology sheet, so the finding can be checked rather than believed.

Volume, when the caseload needs it

Bulk analysis and an API for screening at scale, with webhooks so a hit reaches your own systems instead of an inbox. Documented at walletdna.com/docs/api.

How a trace runs

1

Start from what you have

A victim wallet, a transaction hash, an address from a complaint. The first analysis returns holdings, counterparties, attribution and a risk breakdown.

2

Follow it on the canvas

Expand the counterparties that matter, prune the ones that do not, cross bridges where funds change chain, and annotate as you go.

3

Document where it landed

Off-ramps by name and date, a report with a verifiable content hash, your sign-off, and an Excel workpaper with the methodology attached.

Crypto tracing for investigators: FAQ

Does it build the trace for me?

No, and that is deliberate. The tool expands what you ask it to expand and prunes what you tell it to prune. Auto-building a graph from a few criteria produces something that looks authoritative and that nobody can defend under questioning, because the reasoning belongs to the tool rather than to the analyst. Your judgment about where to follow and where to stop is the part of the work that is yours, and it stays yours.

Can you tell me who owns a wallet?

Not from the chain alone, and neither can anyone else. On-chain data establishes what happened: that a transfer of a stated amount occurred on a stated date between stated addresses. Attaching a name normally requires legal process against a service that holds identity, which is why the off-ramp is the most valuable thing a trace can find. Where a cooperating party is available, a signed challenge message proves control of an address cryptographically.

How far does the trace go?

As far as you take it. Hops are expanded on demand rather than to a fixed depth, bridge crossings continue on the destination chain, and 18 chains are covered including Bitcoin, Ethereum, Tron, Solana and the major EVM networks. Practical limits are published with the methodology rather than left for you to discover mid-case.

If I filter out small transfers, am I hiding structuring?

You would be, which is why the filter does not simply drop them. Anything removed by a value threshold is still counted and reported in aggregate, so a pattern of many small transfers is visible as a pattern even when the individual rows are not on screen. A trace that quietly discards the evidence of structuring is worse than one that never filtered at all.

Can I put my own firm's name on the output?

On the Advanced and Enterprise plans the PDF can carry your logo and header instead of ours. On every plan the analyst sign-off records the name, credential and firm of the person who stands behind the finding.

What does it cost to try?

Nothing. The free plan includes 5 analyses a month with the canvas included, and the demo canvas and a finished example report need no account at all. Pricing is published at walletdna.com/pricing with no sales call in front of it.

Live canvas demoCrypto wallet forensicsFor attorneysFor accountantsFor governmentHow to track stolen cryptoMethodology & limitations

Open the canvas and follow something

The demo canvas runs a full trace with no account. When you are ready, the free plan includes 5 analyses a month.

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