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On-chain proof of reserves (PoR) combines evidence of crypto assets an exchange says it controls with a commitment to some customer liabilities. A Merkle tree can let you check whether your balance record is included in that commitment; some systems add zero-knowledge proofs to check how records contribute to totals. The result is a dated, scoped snapshot—not a guarantee that an exchange is solvent now or that every liability has been counted.
What does on-chain proof of reserves prove?
A PoR report tries to answer two related questions: what assets were held at a particular time, and whether the customer liabilities included in the report were covered by those assets. The asset evidence may include public blockchain addresses and balances. The liability evidence is generally a dataset of in-scope customer balances committed to a cryptographic structure such as a Merkle tree.
Those two sides are meaningful only when the report states their scope. A reported reserve ratio compares covered assets with covered liabilities. At or above 100%, it indicates reported assets meet or exceed the included liabilities at that snapshot, assuming the measurements and scope are sound. It does not automatically account for excluded customer claims, corporate debts, liens, or other exposures.
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How does the Merkle-tree check work?
1. The exchange takes a liability snapshot
At a stated date and time, the exchange identifies the customer balances covered by the report. The report should make clear which assets, account products, and customer categories are included. Later deposits, withdrawals, trades, or changes to the account fall outside that particular snapshot.
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2. Balance records become leaves
Each included balance record is represented as a leaf in a Merkle tree. The system hashes the leaves, combines pairs of hashes into higher-level hashes, and repeats the process until one hash remains: the Merkle root. Binance describes the root as a summary hash used to let users check inclusion in its liabilities report.
The root commits the exchange to a particular dataset: changing a record will ordinarily change the relevant hashes and the root. To check a record, a customer needs the leaf information and the sibling hashes along the route through the tree. Recomputing that path should produce the root published for the report.
3. A valid path shows inclusion, not completeness
If the recomputed root matches, the check shows that the supplied record is included in the data committed by that root. It does not, by itself, show that the exchange included every customer liability. A Merkle tree can faithfully commit to an incomplete list.
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Completeness therefore depends on additional controls over how the liability dataset was built. Some implementations add constraints intended to ensure that balances contribute correctly to reported totals or that an account’s net balance is not negative. Those checks are specific to the implementation; they are not an automatic feature of every Merkle-tree proof.
What do zero-knowledge proofs add?
A zero-knowledge proof can demonstrate that a computation met stated rules without publishing all of its private inputs. In Binance’s description of its own system, circuit checks cover whether each user’s asset balance appears in a global-state list, whether each user’s total net balance is non-negative, and whether an account-information update results in a valid Merkle-root change.
Other privacy-preserving proof-of-liability designs can use commitments to avoid revealing individual holdings or total liabilities. These approaches have different properties. A report should identify what its proof checks rather than treating “zero knowledge” as a universal guarantee of completeness, solvency, or privacy.
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How are the on-chain assets checked?
The exchange or reviewer identifies the assets claimed as reserves and establishes evidence of control, often by examining balances at public blockchain addresses. Blockchain explorers can make balances at those addresses observable. But the ledger does not, on its own, establish that an address belongs to the exchange or that the exchange has exclusive control of its keys. Attribution and control depend on the evidence and review procedures.
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Even proof of control at a review date is limited: it does not establish that no other party has a duplicated private key. Nor does a wallet balance reveal every possible claim on the assets. Borrowing funds for a review, hidden liens, or other encumbrances may not be apparent from the on-chain balance alone.
How can you verify your own balance?
The exact process depends on the exchange and review. Use the exchange’s official account interface or published proof data, and follow the verification method identified for that report. Kraken provides visual and programmatic instructions for reviews from 2023 onward; its approach describes recreating record and leaf identifiers and checking the path to the published root.
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- Find the dated report. Note the snapshot date, reviewer, and methodology. A report is not a live reading of the exchange’s balances.
- Check the scope. Identify which assets, account products, and customer balances are included, along with any exclusions.
- Retrieve your proof data. Use the official account tool or published proof data to obtain the relevant record or leaf information.
- Validate the path. Recompute the leaf and its Merkle path to the report’s root, or use the named reviewer’s verification tool. Check that the result matches the root for that report.
- Read the asset-side methodology. Look for how control of the claimed on-chain assets was assessed and what the reviewer actually did.
A successful personal check is useful, but it verifies your record against a particular commitment. It does not independently prove that the commitment includes every liability or that the assets remain available after the snapshot.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What should you compare between PoR reports?
A headline ratio is not enough: two reports can use different dates, assets, or liability denominators. Compare the underlying evidence and assurance scope.
- Snapshot date and cadence: How recent is the review, and how often is it repeated?
- Liability coverage: Which customer balances and products are included, and what checks address omitted accounts or incomplete records?
- Asset scope: Which assets, chains, and wallets count toward reserves?
- Customer-level verification: Can an individual reproduce an inclusion check against the published root?
- Asset control: How were wallet ownership or control claims assessed?
- Reviewer assurance: Who performed the work, what was their role, and what do their competence, independence, and stated methodology establish?
- Borrowing and encumbrances: Does the report address borrowed assets, liens, or other claims against the reserves?
A larger ratio is not necessarily stronger evidence if the asset scope or liability denominator differs. Read the ratio together with the report’s definitions and exclusions.
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What are the limits of a PoR snapshot?
- It is point-in-time evidence. A review says something about the stated snapshot, not later withdrawals, trades, theft, or other changes.
- It may cover only part of the business. Excluded assets or account products are outside the reported comparison.
- Inclusion is not proof of a complete liability list. A valid Merkle path confirms a committed record, not the absence of omitted customers.
- Control is not exclusive key possession. Evidence that an exchange can control an address does not prove that no one else has a copied key.
- On-chain balances do not expose every encumbrance. Borrowing, liens, or other claims may not be visible from the wallet balance.
- The reviewer matters. Confidence depends partly on the reviewer’s competence, independence, scope, and procedures.
What do dated exchange examples show?
Kraken’s update for a review completed as of March 31, 2025 listed BTC, ETH, SOL, USDC, USDT, XRP, and ADA, and described liability inclusion with user-level Merkle proofs. That is a dated example of one exchange’s stated process, not a claim about its coverage in 2026 or a standard that every exchange follows.
Kraken’s announcement for a November 30, 2023 snapshot was reported as saying that approximately 78% of all clients’ cryptoassets held on the platform were covered. That historical coverage figure is not a current statistic; it illustrates why readers should check what proportion and categories of assets a particular report actually covers. There is no general industry-wide PoR coverage figure established here.
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