Moralis vs Alchemy vs QuickNode vs evmquery: Picking the Right API for Smart Contract Reads

If you need to read smart contract data in a product, the hardest part isn’t writing the code — it’s picking the right layer. Alchemy, QuickNode, Moralis, and evmquery all let you “read data from the blockchain,” and they all have pricing pages that make the decision look obvious. Spend a week integrating the wrong one and it stops looking obvious.

This post is a fair read on where each of the four wins. We make one of them — spoiler — so the last column has a bias, but we’ve tried to stay honest about what the others do better. The decision should depend on what problem you actually have, not on which logo is cleanest.

The question you should actually ask

Before comparing vendors, narrow the question. Most teams pick wrong because they’re optimizing for “cheapest per-call” when the real bottleneck is developer time.

Pick a layer based on the shape of your read:

• “Give me the raw chain, fast and everywhere.” Alchemy / QuickNode. They run the nodes, they cache responses, they give you a firehose.
• “Give me indexed, pre-joined views of wallets, tokens, and NFTs.” Moralis (or an alternative indexer). They’ve crawled the chain already; you’re querying their database.
• “Give me specific contract state via one expression, with auto-resolved ABIs and proxies.” evmquery. You point at contracts and ask questions; we handle the plumbing.

These are different layers. You can use more than one. The wrong choice isn’t fatal — it’s just a few weeks of glue code you didn’t need to write.

Alchemy

What it is: A managed RPC provider with a set of “Enhanced APIs” stacked on top — token metadata, NFT ownership, transaction history.

Where it wins:

• Reliable, well-cached RPC on every major EVM chain. Their eth_call latency is consistently best-in-class.
• The Enhanced APIs cover the most common read patterns (ERC-20 balances across a wallet, NFT metadata, transfer history) without you having to index yourself.
• Great observability — the dashboard shows you which methods your app calls most, which lets you size plans sensibly.

Where it stops helping:

• You still write the RPC-layer code. eth_call, ABI encoding, proxy resolution, Multicall3 batching — all on you. The Enhanced APIs only cover their happy paths; anything outside (a custom Governor contract, a new DEX) and you’re back to raw RPC.
• Pricing is CU-based (compute units). A single getLogs with a wide block range can silently burn a significant slice of your monthly allowance.

Pick Alchemy when: You need industrial-grade RPC and you’re comfortable writing client-side read logic. The Enhanced APIs are a nice bonus, not the reason you’d pay.

QuickNode

What it is: Also a managed RPC provider, with a feature set that’s closer to a platform — custom endpoints, QuickNode Functions (serverless on top of RPC), Streams (realtime webhooks), and marketplace add-ons for indexing and analytics.

Where it wins:

• Widest chain coverage of the big four. If you need Blast, Fraxtal, or the latest Arbitrum Orbit chain before anyone else, QuickNode usually has it first.
• Streams is a real-deal webhook product — define a filter, get a POST per matched event. Fewer teams need to run their own indexer because of it.
• Functions let you deploy small bits of logic next to the RPC, which cuts round-trips for stateful reads.

Where it stops helping:

• Same core constraint as Alchemy: you’re writing RPC-flavored code. The abstractions are bigger and more composable, but you’re still responsible for ABIs, decoding, and proxy resolution.
• The marketplace is a mixed bag. Some add-ons are essential; others are thin and you’ll outgrow them quickly.

Pick QuickNode when: You want RPC plus webhook-driven workflows, or you’re on a long tail chain where Alchemy doesn’t go yet.

Moralis

What it is: A web3 data API. Moralis crawls every major EVM chain ahead of time and exposes wallet-shaped REST endpoints — /:wallet/tokens, /:wallet/nfts, /:wallet/history, plus NFT and token metadata endpoints.

Where it wins:

• If your question is wallet-shaped — “what tokens does this address hold on these five chains?” — Moralis gives you a JSON answer in one HTTP call. Building the same thing on raw RPC means indexing transfer events across every chain.
• NFT metadata handling (IPFS resolution, animated URIs, rarity where available) is a real product. Rolling your own is miserable.
• Cross-chain by default. One request, multi-chain response.

Where it stops helping:

• If your question isn’t wallet-shaped, Moralis has less to offer. Reading a custom Governor’s proposalSnapshot(id) isn’t a standard endpoint; you’re back to raw RPC via their node gateway.
• Index freshness varies per chain. For trading UIs where the last 30 seconds matter, you’ll want a direct RPC read, not an indexed API.
• Pricing can surprise you on NFT-heavy apps. A single “get all NFTs” call for a whale wallet is expensive.

Pick Moralis when: Your product revolves around wallets, NFTs, or transfer history across chains. That’s their sweet spot and they’re good at it.

evmquery

What it is: A contract-logic query layer. You point it at one or more contracts, write an expression (our Smart Expression Language, SEL, looks a lot like JavaScript), and get back typed results. It handles ABI resolution, proxy unwinding, and Multicall3 batching under the hood. Chain is a request-level parameter — pick Ethereum, Base, or BNB Smart Chain per query.

Where it wins:

• When the data you want lives in a specific contract — a Governor, a Vault, a custom AMM, a new protocol that shipped yesterday — you don’t wait for us to index anything. You point, you query, you’re done.
• One expression can read across many contracts on the same chain, with all the independent calls auto-batched into a single Multicall3 round. Compared to writing Multicall3 by hand, the abstraction saves real time. Compared to calling an indexer, you get data that’s fresh to the block.
• Ships with a REST API, an n8n node, and an MCP server for Claude/Cursor — same query engine, three clients. You don’t have to pick one.

Where it stops helping:

• evmquery is read-oriented. For wallet-shaped indexed history (“all transfers in this address’s lifetime”), Moralis is the right tool.
• We don’t replace a full RPC provider. If your app needs eth_sendRawTransaction or debug_traceTransaction, you still need Alchemy or QuickNode behind the curtain — and that’s fine; a lot of our users run us alongside an RPC they already have.
• New protocol? If there’s no verified source on Etherscan/Sourcify, we can’t auto-resolve the ABI and you’ll need to upload it. That takes a minute; still worth flagging.

Pick evmquery when: You’re reading from specific contracts, especially across chains or behind proxies, and you want to spend zero minutes on ABI/decoding plumbing. The MCP and n8n integrations are the most common “oh, that’s why” moment.

Decision matrix

Use case	Best fit
Production dApp serving raw RPC to a wallet	Alchemy or QuickNode
Wallet page showing tokens + NFTs + history across chains	Moralis
Dashboard reading 50 positions from 8 protocols on one chain	evmquery
Webhook when a specific event happens on a contract	QuickNode Streams (or Alchemy Notify)
AI agent that answers questions about live contract state	evmquery MCP
n8n / Zapier-style automation over contract reads	evmquery n8n node
Bulk historical event scan across millions of blocks	Alchemy getLogs with careful chunking, or a purpose-built indexer

None of these rows are gospel — you can do most tasks with most tools, it’s a question of how much code you write. The matrix reflects what we see teams default to when they stop fighting their stack.

What about a “free RPC + homegrown layer” option?

Fair question. Many teams start with a public RPC (ethereum.publicnode.com and friends) plus a folder of utility scripts. That works until one of three things happens:

1. You add a second chain and have to generalize. Now readContract needs a chain parameter, an RPC selector, and per-chain ABI handling.
2. You hit a proxy and spend an afternoon debugging why totalSupply returned zero.
3. Your public RPC rate-limits you mid-demo.

At that point, paying someone — any of the four vendors in this post — buys back your time. The question is just which one maps best to your product shape.

A note on switching cost

Every vendor in this comparison will tell you their client library is the right one to standardize on. We disagree with that framing. Use whichever works today and keep the boundaries thin — a single “read this expression against these addresses” function that you can re-point is worth more than deep integration with any provider’s SDK.

evmquery is designed for this: our MCP server, REST API, and n8n node all accept the same expression language, so switching between them (or running them side-by-side) is free. Other vendors vary.

Next steps

• If you’ve decided the right layer is evmquery, the developer page has concrete integration examples.
• Building for AI agents? The MCP server post covers the Claude/Cursor integration in detail.
• Want to skip code entirely? The n8n integration has paste-in recipes.