This week we established two things: an RPC answer is just something a server told you, and eth_getProof lets you verify a single answer — if you have a block header you trust. That "if" is the last piece of the puzzle. Where does a trustworthy header come from, if you're not running your own node? The answer is a light client: a program small enough to run on a laptop, a phone, or inside another app, that verifies Ethereum's headers against the chain's actual validator signatures. Here's how that works, what it can and can't do, and why it pairs with — rather than replaces — an RPC provider.
The problem a light client solves
A full node verifies everything: it re-executes every transaction and maintains the full state. That costs hundreds of gigabytes and real operational work. The alternative most apps choose is to trust an RPC endpoint entirely. A light client is the middle path: it doesn't execute transactions or hold state — it only verifies headers, the ~600-byte summaries that commit to everything else. If you know a header is genuine, then its stateRoot anchors Merkle proofs for any account or storage slot, its receiptsRoot anchors proofs for logs and transaction outcomes, and any RPC response can be checked instead of believed.
So the whole question becomes: how do you verify a header is genuine without downloading the chain?
Sync committees: Ethereum's gift to light clients
Proof-of-stake Ethereum was designed with this exact use case in mind. Every ~27 hours, the protocol randomly selects a sync committee of 512 validators whose job is to sign every block header during their period. That signature set is the light client's foothold:
- Start from a checkpoint — a recent finalized block hash you obtain out-of-band (from a checkpoint provider, a friend's node, or hard-coded in an app). This is the one trust decision you make.
- From the checkpoint, the light client learns the current sync committee's 512 public keys.
- From then on, every new header arrives with an aggregate BLS signature from that committee. Verifying one aggregate signature — milliseconds of work — proves the header is what the validator set saw.
- Before a committee's period ends, it signs off on the next committee's keys, so the client hops from committee to committee indefinitely, staying in sync with ~25 KB of data per day.
That's the entire trick: instead of re-executing the chain, you follow a chain of signatures from a checkpoint you chose. The security model is honest-majority-of-the-committee — weaker than a full node's "verify everything," vastly stronger than "trust whatever the endpoint says."
What this looks like in practice: Helios and friends
The best-known implementation is Helios, a Rust light client that runs as a local process and exposes a standard JSON-RPC server on localhost. The architecture is the interesting part:
your app → localhost:8545 (Helios) → any untrusted execution RPC
↓
verifies headers via sync committee,
verifies state via eth_getProof
You point it at an execution RPC — any endpoint, trusted or not:
helios ethereum \
--execution-rpc https://rpc.swiftnodes.io/rpc/eth?key=YOUR_API_KEY \
--checkpoint 0x<recent_finalized_block_root>
When your app asks Helios for a balance, Helios fetches it from the execution RPC with a proof, verifies the proof against a header it verified against the sync committee, and only then returns it. The endpoint could lie, and the lie would simply fail verification. The same pattern exists in other stacks (Lodestar's light client in TypeScript, Nimbus's in Nim), and it's embedded invisibly inside some wallets and bridges.
Notice what happened to the trust relationship: the RPC endpoint stopped being an oracle and became a data availability layer. It has to be fast and correct to be useful — but it no longer has to be believed.
The honest limits
Light clients are sometimes described as "trustless nodes." They're not, quite:
- The checkpoint is trust. Your starting block hash has to come from somewhere honest. In practice you cross-check a couple of independent checkpoint providers — the same "trust a 32-byte hash, not a server" reduction from the getProof post.
- They still need a data source. A light client verifies data, it doesn't have data. Every query still hits an execution RPC — so endpoint speed, freshness, rate limits, and archive depth still matter. Verification stacks on top of a provider; it doesn't replace one.
- Honest-majority assumption. A captured sync committee (512 of ~1M+ validators) could sign a false header. Randomness makes that statistically wild, but it's a real difference from full verification.
-
Latency and coverage. Verified reads cost an extra round trip for proofs, and some queries (complex
eth_calls, log scans) are harder to verify than simple state reads — implementations vary in what they can prove vs. what they proxy.
Do you need one?
For most applications — dashboards, bots, indexers — the practical trust model is redundancy: multiple providers plus sanity checks, and that's fine. Light clients earn their complexity where the stakes justify verification: wallets that must show true balances no matter what, bridges and payout systems moving real value on the strength of a read, and any app whose users shouldn't have to trust the app's infrastructure choices.
Either way, the direction of travel is clear — and healthy for everyone: RPC providers compete on speed and reliability, while correctness becomes something you can check. We're comfortable on that field. Point a light client at our Ethereum endpoint and verify us — the free tier has room for plenty of proofs, and eth_getProof is served on every plan.
Originally published on the SwiftNodes blog. SwiftNodes provides flat-rate multi-chain RPC endpoints — HTTP + WebSocket, 75+ chains, no per-request metering. Grab a free key.
