Blockchair review: one search box for every chain

Blockchair was founded in 2016 by Nikita Zhavoronkov, an information security and anti-money-laundering specialist, with privacy written into the product from the start. A decade later the Blockchair Ethereum explorer sits in a family of more than forty chains, from Bitcoin and Litecoin to Monero, Cardano and Ethereum, all behind one search box that recognises what you paste. That breadth, together with SQL-like filters and a strict privacy stance, is the reason to use it. The trade-off is that Ethereum gets the same generic treatment as everything else.

We reviewed Blockchair from the perspective of an Ethereum user: someone checking a wallet, reading a transaction, researching token flows or pulling data through an API. Figures below come from Blockchair’s public Ethereum stats endpoint on 24 September 2026.

Multi-chain search: the core idea

Paste 0xd8dA6BF26964aF9D7eEd9e03E53415D37aA96045 into Blockchair and it opens the Ethereum address. Paste a Bitcoin address and you land on Bitcoin. You never pick a network first. For people who hold assets on more than one network, or for support teams who receive “where is my deposit?” tickets for five different coins, one interface with the same layout everywhere is a real productivity gain.

The data model is the same across chains, too. Blocks, transactions and addresses are tables with columns you can filter and sort, and Ethereum adds tables of its own for internal calls, uncles and ERC-20 tokens. That consistency is what makes Blockchair feel less like a website and more like a query tool.

The Blockchair Ethereum address explorer

An address page on Blockchair opens with the ETH balance and its dollar value, the number of transactions and the ERC-20 tokens the address holds. The transaction history is built on the same table engine as the rest of the site, so it can be sorted and filtered rather than just scrolled, which is quicker than paging through a long history when you are hunting for one transfer. For contracts, Blockchair adds the creator address and the creation transaction, and for ERC-20 contracts the token name, symbol and decimals.

What you will not find is the layer of interpretation that Ethereum-native explorers have built over the years. Name tags for exchanges and protocols are sparse, there is no token approval checker, and there is no verified source code to read. If your goal is to answer “is this address safe to interact with?”, our Ethereum address explorer guide covers the checks that matter and the tools that make them easy.

The Blockchair Ethereum transaction explorer

Transaction pages cover the essentials: status, block, time, sender and recipient, value, fee in ETH and USD, gas used against the gas limit, gas price and nonce. Blockchair also indexes internal calls as their own table, so ETH moved by a contract shows up, and it can show ERC-20 transfers and decoded event logs for a transaction. An experimental “effects” view summarises every ETH and token balance change in one block, which is handy when a single swap touches four tokens.

History is complete back to genesis. Block 46,147 on 7 August 2015 holds the first transaction ever sent on Ethereum: 31,337 wei at a gas price of 50,000 gwei, a fee of 1.05 ETH for a plain transfer. Pulling that up on Blockchair and filtering for similar early transfers takes seconds. Where the transaction explorer falls behind is on newer protocol features. We could not confirm dedicated views for blob transactions (type 3) or EIP-7702 authorisations (type 4); for those, use Blockscout or a specialised blob explorer. For a field-by-field walkthrough of any receipt, see our Ethereum transaction explorer guide.

SQL-like filters, sorting and aggregation

This is where Blockchair is genuinely different. Every table accepts filters (q=), sorting (s=), limits and offsets, and aggregation (a=) that behaves like SQL’s GROUP BY. The same syntax works in the website’s table views and in the API. A request such as ethereum/transactions?q=value_usd(1000000..),failed(false)&s=id(desc) lists the latest successful transfers worth more than a million dollars. Swap in a=month,median(fee_usd) on the transactions table and you get median fees by month, a chart that would otherwise need a data warehouse.

There are limits. The documentation guarantees up to five filters and two sort orders per query, a maximum of 100 rows per page and an offset ceiling of 10,000, and aggregation is still labelled beta. For serious research you will outgrow it and move to a SQL platform such as Dune or your own node. For quick questions like “how many failed transactions did this contract cause last week?” it is the fastest free tool we know. Blockchair also offers bulk data dumps in TSV format for people who want to load entire tables themselves.

Privacy stance: what the policy actually says

Blockchair has made privacy its identity. Its privacy policy commits to no third-party cookies, no web analytics such as Google Analytics, no hit counters and no scripts loaded from CDNs. The browser does not send an HTTP referer when you click away, so the next site does not learn which address you were looking at. Incoming IP addresses are kept, masked or in clear form, for one to two days to enforce API rate limits, and only anonymous, aggregated statistics about searches are retained. A Tor onion address and a no-JavaScript mode are available for users who want to go further.

That is a stronger set of promises than most explorers make, and it matters: an explorer that logs which addresses you view can link you to your wallets. Two caveats from our testing. First, the site now sits behind aggressive bot protection; on 24 September 2026 our connection received a 403 on the website and a 430 “temporarily blacklisted” error on the API after only a handful of requests, so shared VPN or cloud IPs may be locked out. Second, the published policy text has not changed much in years, so read the current version rather than relying on older summaries.

The Blockchair API and its free allowance

Blockchair’s API mirrors the website: dashboards endpoints for an address, a transaction or a block, the filterable tables described above, and stats endpoints per chain. The official documentation is clear that the service “is not free to use” in general but allows up to 1,440 requests a day without a key for occasional personal use, testing and non-commercial or academic projects, with an additional hard limit of 30 requests per minute. Commercial projects are expected to buy a Premium API plan at any volume. Some third-party write-ups quote 1,000 calls a day, so check the current plans page before you build on it.

Costs are counted in request points. A plain address lookup costs one point, but adding ERC-20 balances, event logs or balance effects adds more, and table queries cost more as the page size grows. Every response reports its request_cost, which makes budgeting easy. Two warnings for Ethereum developers: the v2 documentation still lists the retired Goerli testnet and describes ERC-721 support as planned, and live responses now point developers to the team’s newer 3xpl data API. The API sends open CORS headers, but the documentation itself tells you to proxy requests so a paid key is never exposed to users. Our Ethereum explorer API comparison puts these limits next to Etherscan, Blockscout and Ethplorer.

Blockchair vs Etherscan on Ethereum depth

Most readers arrive here with one question: can Blockchair replace Etherscan for Ethereum? For search and analytics, partly. For contract work, no. The table sums up the differences that mattered in our review.

The pattern is clear. Etherscan is deeper on Ethereum because it only has to be good at Ethereum-style chains. Blockchair is wider and more private. If you mainly read contracts, our Etherscan review and Blockscout review are the better starting points; if you mainly track token holdings, Ethplorer has the nicer portfolio view.

Who should use Blockchair

Multi-chain users and support teams get the most from it: one bookmark covers Ethereum, Bitcoin and most large networks. Researchers and journalists who need quick aggregate answers will love the filters. Privacy-conscious users who do not want their address lookups sent to analytics companies have few better public options. Solidity developers and auditors should look elsewhere, and so should anyone building an app on a free API budget.

Our bottom line: Blockchair earns its 8.0 as the most versatile and most private general explorer, not as the best Ethereum explorer. Keep it for cross-chain lookups and quick analytics, and pair it with an Ethereum specialist. For the full picture of where it ranks, see our best Ethereum explorers of 2026 and the wider list of Etherscan alternatives.