Blockscout Alternative for AI Agent Contract Reads: Where evmquery Fits (and Where Blockscout Still Wins)

Ask any of the big assistants which API an AI agent should use to read on-chain data, and Blockscout’s MCP server comes back near the top. That’s earned: it’s a real MCP server, hosted for free at mcp.blockscout.com, backed by an explorer that runs on more chains than anyone else’s. If you’re evaluating a Blockscout alternative for agent contract reads, the useful question isn’t “which one is better” — it’s which layer your read actually lives on.

What “Blockscout alternative” usually means

Two different searches share the phrase. The first is “I want a self-hosted block explorer that isn’t Blockscout” — this post has nothing for you; Blockscout is the reference implementation of that category and there’s no honest case against it.

The second is the one that brought most people here: an agent needs live contract state, Blockscout’s MCP server was the obvious first stop, and something about the tool loop feels heavier than the question deserves. That’s a layer mismatch, not a quality problem, and it’s worth walking through precisely.

What Blockscout actually does well

Worth naming plainly, because a fair comparison starts by conceding the other side’s real strengths.

• Chain breadth nobody else has. Blockscout counts more than 3,000 chains running its explorer software, though they’re upfront that the number includes ephemeral and experimental testnets. The Pro API that the MCP server now reads from launched July 1, 2026 with one key, one base URL, and coverage across 100+ chains via both REST and JSON-RPC.
• A genuinely good MCP surface. Sixteen tools, including get_address_info, get_transaction_info, get_tokens_by_address, get_token_transfers_by_address, nft_tokens_by_address, lookup_token_by_symbol, get_contract_abi, read_contract, and a direct_api_call escape hatch for any endpoint the typed tools don’t cover.
• Decoded, labelled output. Blockscout’s own framing is that their APIs return “well-structured JSON responses with decoded data, token metadata, and human-readable labels,” and that a model handed a decoded function name instead of raw hex writes better explanations. That’s true, and it’s the single biggest reason their MCP server does well in agent evaluations.
• Context discipline. The server truncates oversized fields, paginates with opaque cursors, and slices responses rather than dumping raw explorer JSON into a context window. Details that only matter if you’ve actually run an agent over an API before.
• You can run it yourself. The server ships as source on GitHub with published Docker images. It’s under Blockscout’s own licence rather than a standard OSI one, so read it before you build a product on top, but self-hosting is a supported path and the code is right there.
• Free to start. The hosted MCP endpoint is public, and the Pro API’s free tier is 100K credits/day at 5 RPS with no card.

None of that is a footnote. If your agent’s job is “explain this transaction,” “what does this wallet hold,” or “what happened on this chain last week,” Blockscout is the right answer and this post ends here.

Where the friction shows up for contract-logic reads

Blockscout is an explorer API. Explorers index what already happened — blocks, transactions, transfers, balances, verified sources. Reading what a contract says right now, through its own logic, is a different operation, and Blockscout exposes it through exactly one tool:

read_contract(chain_id, address, abi, function_name, args='[]', block='latest')

Note the third parameter. The agent supplies the ABI — specifically, per Blockscout’s own tool description, “the JSON ABI for the specific function being called,” which it’s told to obtain from get_contract_abi first. So a single field costs at least two tool calls, and each tool call is a separate model turn.

Then proxies land on top. Reading the Aave V3 Pool on Ethereum (0x87870Bca...), /api/v2/smart-contracts/ returns exactly what you’d expect from an explorer: the contract is verified, it’s named InitializableImmutableAdminUpgradeabilityProxy, proxy_type is eip1967, and the implementation is listed. But the abi field is the proxy’s own five functions — admin, implementation, initialize, upgradeTo, upgradeToAndCall. No getUserAccountData, no getReserveData. USDC behaves the same way: FiatTokenProxy, proxy_type of eip1967_oz, and a five-function ABI with no totalSupply in it.

The proxy information is available — get_address_info surfaces proxy type and implementation addresses, and Blockscout documents that clearly. It just isn’t carried by the tool that hands the agent an ABI, so the agent has to know to go look for it. Get that wrong and read_contract fails against a function the contract obviously has, which is a confusing failure for a model to recover from.

Stack it up for one modest question — the USDC supply rate on Aave plus USDC’s own supply and decimals:

1. Session init (__unlock_blockchain_analysis__)
2. get_address_info on the Pool to discover the proxy target
3. get_contract_abi on the implementation
4. read_contract for getReserveData
5. get_address_info on USDC
6. get_contract_abi on the USDC implementation
7. read_contract for totalSupply
8. read_contract for decimals

Eight turns, each one a model round trip with tokens and latency attached. An agent that already knows the ABIs can skip a few. An agent meeting the contract for the first time cannot.

What evmquery does differently

evmquery is a contract-logic query layer rather than an explorer API. You name the contracts, write one expression in SEL (our CEL-based expression language), and ABI resolution, proxy unwinding, and Multicall3 batching all happen server-side before you see a typed result. Same engine behind the REST API and the MCP server, so an agent gets the identical behaviour.

The same question as above, in one request:

const query = {
  chain: "evm_ethereum",
  schema: {
    contracts: {
      pool: { address: "0x87870Bca3F3fD6335C3F4ce8392D69350B4fA4E2" },
      usdc: { address: "0xA0b86991c6218b36c1d19D4a2e9Eb0cE3606eB48" },
    },
    context: { usdcAddress: "sol_address" },
  },
  context: { usdcAddress: "0xA0b86991c6218b36c1d19D4a2e9Eb0cE3606eB48" },
  expression:
    "[pool.getReserveData(usdcAddress).currentLiquidityRate, usdc.totalSupply(), usdc.decimals()]",
};

const res = await fetch("https://api.evmquery.com/api/v1/query", {
  method: "POST",
  headers: { "Content-Type": "application/json", "x-api-key": apiKey },
  body: JSON.stringify(query),
});

No ABI lookup, no proxy check, no per-field round trip. That’s the whole difference: not better data than an explorer, less agent reasoning between the address and the answer.

A concrete side-by-side

Rows one, two, and six are Blockscout’s outright. Row three is a definitional difference rather than a win for either side. Rows four and five are the reason a team ends up searching for a Blockscout alternative: the read is real, the data is public, and the cost is entirely in resolution bookkeeping the agent shouldn’t be doing in its context window.

Where Blockscout is still the better fit

Reach for Blockscout, not evmquery, when:

• You need chains beyond Ethereum, Base, and BNB Smart Chain. This is the big one. evmquery covers three chains; Blockscout’s Pro API covers 100+ and its explorer software runs on thousands. If you’re on an Orbit chain, an OP Stack rollup, or a testnet, this isn’t a live comparison.
• Your question is historical. Transaction lists, transfer history, block contents, “what changed since Tuesday” — that’s indexed explorer data. evmquery answers questions about state at a block; it has no history endpoints and won’t grow them.
• Your question is wallet- or NFT-shaped. Holdings with market data, NFT ownership, ENS resolution, token search by symbol. Blockscout has crawled all of it; evmquery would make you enumerate contracts by hand.
• You want decoded transactions and address labels. Turning a hex calldata blob into swap(address,uint256,uint256) with a labelled counterparty is exactly what an explorer is for, and it makes agent explanations noticeably better.
• You need to self-host or audit the stack. Blockscout’s MCP server and explorer are both published as source with Docker images. evmquery is a hosted service.
• You’re browsing rather than querying. If the agent doesn’t yet know which contract matters, explorer search beats an expression language that requires you to name addresses up front.

Can you run both

Most agent stacks should. The two servers answer different question shapes and there’s no client-library lock-in on either side to make the pairing awkward: both speak MCP, both are one entry in an mcpServers config, and an agent with both connected picks per question without any glue from you.

A shape we see often: Blockscout for discovery and history — find the contract, read the transaction, label the counterparty — and evmquery for the live state read once the address is known and the answer has to be typed, current, and cheap enough to poll. The AI agent integration overview covers wiring evmquery into Claude, Cursor, or any other MCP client alongside whatever else you already have connected.

Next steps

• Alchemy alternative for contract reads makes the same argument against an RPC provider rather than an explorer, if that’s the layer you’re actually on.
• Moralis vs Alchemy vs QuickNode vs evmquery is the broader four-way view of where each layer starts and stops.
• The evmquery MCP server walks through connecting the query engine to Claude, Cursor, or VS Code in a couple of minutes.
• AI agent integrations if you want the overview before picking a client.