BoltTx vs Helius: A Solana RPC Comparison

If you've been evaluating Solana RPC infrastructure, Helius probably came up in your shortlist. They're a well-known generalist platform with a broad API surface. We built BoltTx because we needed something different — an RPC purpose-built for sub-second transaction sending, with native Anti-MEV protection baked in. This post is a straightforward comparison so you can pick the right tool for what you're actually building.

We're going to be opinionated where it makes sense, and honest where Helius is the better fit. The goal is for you to leave with a clear picture, not a sales pitch.

If you are mid-evaluation and want a second endpoint to benchmark against, a free key takes one line. The comparison below is what we would want to know in your position.

At a Glance

Quick read: if you're sending transactions for a living, BoltTx. If you need indexing, NFT metadata, webhooks across wallet activity, Helius.

Helius API: What It's Good At

Helius is a serious player. Their generalist position means they've put real engineering into things that matter outside the transaction-sending hot path:

• Webhooks for on-chain events
• Parsed transaction history — much friendlier than raw Solana JSON
• NFT metadata APIs with denormalised data
• Indexing primitives for building dashboards and analytics
• Helius gRPC (their streaming product) for real-time transaction consumption

If you're building something where reads dominate — an indexer, an NFT marketplace, a wallet analytics tool — Helius's surface area is genuinely useful. We're not going to pretend otherwise.

For Helius pricing, they run credit-based tiers. The math works fine for moderate read traffic. It gets more expensive as your sendTransaction volume grows, because every send burns credits regardless of whether the transaction landed.

What BoltTx Optimises For

BoltTx is narrower on purpose. We focused on one thing: the transaction-sending path, optimised end-to-end.

That meant:

• Sub-second end-to-end confirmation as the design floor, not the marketing line
• Native Anti-MEV protection built into the routing layer — no separate product, no extra integration
• SWQoS-aware delivery so transactions land during congestion, not after
• Tip-based pricing — you pay per landed transaction, not per attempt

If you're shipping a trading bot, a market-maker, an arbitrage strategy, an AI agent that submits transactions, or any DEX-facing application where sandwich protection is real money — that's the workload BoltTx was built for.

Latency Profile

We're going to talk about latency the way we recommend you measure providers in general: tail behaviour, not averages.

For a typical Raydium swap from cross-region clients, BoltTx consistently produces:

Numbers vary by client geography, transaction complexity, and network conditions. We recommend running your own benchmarks.

Helius publishes similar order-of-magnitude numbers for their dedicated transaction-sending endpoint. The honest position is that for the median case, both are well into sub-second. The differentiator is what happens at P95 and during congestion.

The only way to know how this plays out for your workload is to benchmark both against your own traffic profile. Both have free tiers — use them.

Anti-MEV: A Native Feature vs an Add-On

This is where the architectural difference shows up clearly.

For BoltTx, Anti-MEV is part of the default routing path. There's nothing to opt into, nothing to integrate, nothing extra to pay. Every transaction routed through bolttx.io/?api-key=... is protected against pre-inclusion exposure.

For Helius, MEV protection is offered through a separate product with its own integration and pricing. It works, but it's a deliberate choice you have to make and configure — not the default path.

For trading workloads where every transaction needs sandwich protection, BoltTx's "Anti-MEV by default" model means less code, fewer footguns, and one fewer place where a missing config quietly costs money.

Helius Pricing vs BoltTx Pricing

Helius runs a credit system with monthly tiers. Reads cost credits, transaction sends cost credits, NFT API calls cost credits. Every operation, landed or not, deducts from your balance.

BoltTx is tip-based. The tip here is what you pay BoltTx — the more you tip, the higher the priority your transaction gets on BoltTx's submission side, and the faster it lands — and you only pay when it actually lands on-chain. If a transaction fails (invalid blockhash, insufficient priority fee, etc.), you don't pay.

Note that tip and priority fee are different things: priority fee is the on-chain gas fee (we recommend setting it meaningfully above the current network average so you reach the front of the inclusion queue); the tip goes to BoltTx in exchange for submission-side priority. Tune both together for the fastest landing.

If you're optimising at the edge — high-frequency trading, MEV strategies — this difference compounds.

Concrete example: a bot doing 1,000 sendTransaction calls per day, 80% landing rate, would burn 1,000 daily credits on Helius regardless of outcome. On BoltTx, it pays the tip on roughly 800 transactions and nothing on the failed 200.

For light read-heavy workloads, Helius's credit model is fine. For sustained transaction sending, the unit economics differ meaningfully.

Helius gRPC vs BoltTx Telemetry

If you're doing streaming consumption of on-chain data, Helius's offering — usually marketed as Helius gRPC — is purpose-built for that, with good documentation and a mature integration story. BoltTx isn't trying to compete on streaming-read use cases — that's not our problem space.

What BoltTx does provide is per-signature delivery telemetry: for every transaction you submit, you can query exactly when it was received, when it was relayed, when it landed (or why it didn't). This is what we'd want as an operator, so we built it.

If you need a real-time stream of every transaction in a slot, Helius gRPC is the right tool for that side of the workload. If you need granular, per-signature observability for the transactions you are sending, BoltTx telemetry is the right tool. They're complementary, not substitutes.

Helius Updates and Documentation

A note on the broader vendor experience: Helius is mature. They have extensive documentation, regular product updates, and a recognisable presence in the Solana developer community. BoltTx is newer and narrower. We document what we do well, but you won't find a parsed-transaction tutorial on our docs because that's not what we do.

If you value vendor maturity and breadth of resources, Helius has more accumulated content. If you value being someone's most important customer rather than one of many, smaller is sometimes better — that's a values judgment, not a metric.

When to Choose Helius

Pick Helius if your primary needs are:

• Indexing on-chain activity for dashboards, analytics, or downstream pipelines
• NFT metadata, ownership history, mint activity
• Webhooks for arbitrary on-chain events
• A broad multi-purpose Solana platform for a team that hasn't specialised yet

You'll do fine. Their core platform is solid.

When to Choose BoltTx

Pick BoltTx if your primary needs are:

• Sub-second transaction confirmation as a non-negotiable
• Sandwich protection baked in by default, no add-on
• Tip-based pricing that aligns cost with landed transactions
• Production-grade tail latency for trading, market-making, MEV strategies
• An AI agent or bot that submits transactions on behalf of a user

We built BoltTx for this workload specifically. If that's you, we'd like to be the right answer.

Migrating From Helius to BoltTx

If you're already on Helius and want to test BoltTx, the migration is one URL change:

// Before
const connection = new Connection(
  "https://mainnet.helius-rpc.com/?api-key=YOUR_HELIUS_KEY",
  "processed"
);

// After
const connection = new Connection(
  "https://bolttx.io/?api-key=YOUR_BOLTTX_KEY",
  "processed"
);

Run both side-by-side for a week. Compare your P95 confirmation latency and your sandwich attack incidence. The data will tell you which one fits your workload.

Try BoltTx Side by Side With Helius

Sign up for BoltTx (free tier, pay only when transactions land) and benchmark against your existing Helius integration. Don't trust marketing claims — measure.

If you're getting the latency and cost profile you want from Helius, stay there. We'd rather you make the call on data than because you read this post.

FAQ

Is BoltTx an alternative to Helius RPC? For transaction sending, yes. For Helius's broader API surface (parsed transactions, NFT metadata, webhooks), no — they serve different use cases.

Does BoltTx have a Helius gRPC equivalent? No. BoltTx is focused on transaction relay, not streaming on-chain data consumption.

What's Helius's equivalent to BoltTx's Anti-MEV? Helius offers MEV protection through a separate product that requires opting in. BoltTx's equivalent is the default routing path, no separate product.

Can I use both BoltTx and Helius? Yes, and many teams do. Helius for reads, indexing, webhooks. BoltTx for transaction sending. The integration points are independent.

Is Helius pricing better than BoltTx pricing? For read-heavy workloads, often yes. For send-heavy workloads, BoltTx's tip-on-landed model usually works out better because failed sends don't cost anything.

Which Solana RPC is better for a trading bot? The one whose submission path is built for sending. General-purpose providers optimise across reads, history, and webhooks; a delivery-focused endpoint optimises for one thing. For a bot that mostly sends, that focus is what shows up under congestion.

Can I use two Solana RPC providers at once? Yes, and many production setups do. A general-purpose provider for reads and a delivery-focused endpoint for sends. The integration points are independent, so you can change one without touching the other.

How do I compare two Solana RPC providers fairly? Send alternating transactions through both for at least a week, bucketed by network condition, and compare landing rate rather than latency. Testing during calm periods measures the case where every path performs the same.

Does switching Solana RPC providers require code changes? Usually one line: the endpoint URL. If a provider requires restructuring your code, that is worth knowing before you commit.

What does a general-purpose RPC do better? Parsed transaction history, indexing, webhooks, NFT metadata, and broad API surface. If your workload is read-heavy, that breadth saves real engineering time.

Why do two providers report similar latency but different fill rates? Latency is the round trip to the endpoint. Fill rate depends on what happens after that: stake weight, routing, and behaviour when block space is contested. Latency benchmarks do not capture the second half.

Should I pay for a dedicated node or a delivery-focused endpoint? Depends on which constraint you actually have. Dedicated nodes solve rate limits. Delivery endpoints solve landing under congestion. Buying one when you needed the other is the common mistake.

How do I migrate from one Solana RPC to another safely? Run both in parallel with a share of traffic on the new one, compare landing rate and error rate for a week, then shift over. Do not cut over during a launch window.

Further Reading

• Best Solana RPC Provider in 2026
• How to Send Solana Transactions in Sub-Second
• BoltTx Documentation
• Anti-MEV Protection Guide