Solana RPC for MEV

Searching is a race against other searchers, not against the chain. We publish exactly how far ahead we are, including the races we lose.
Developed by Solana-native engineers running infrastructure for searchers competing inside the slot

Solana RPC for MEV, built for searchers whose expected value is set by the races they lose, engineered to surface state changes sooner, discard attempts that cannot execute, and route the survivors into competitive blocks.

See the Signal Before the Block

Execution-Grade Streaming Architecture

Unlike generic RPC polling or delayed WebSocket feeds, Aperture TxStream taps into native raw shred ingestion and streams decoded, filterable transactions over one production-ready gRPC interface.

197–231 µs median lead over shredded streams

Batches of up to 64 transactions, with an index field to restore order

Decoded instructions with lookup tables already resolved

Server-side filters: accounts, programs, signatures

Predicted execution results attached to the stream (~95% accuracy)

Beam delivery, fastest or MEV-protected routing

Real-Time Simulation, ~95% accurate

1

A transaction enters the shred pipeline — before the block exists

2

Stream reconstructs and decodes it server-side

3

The prediction is attached at 791 µs for full payload, 832 µs for signatures only

4

The result lands in your stream as a flag: will execute or will fail

5

You drop the doomed attempts and spend tip budget on the rest

TxStream vs ShredStream vs Yellowstone

  • 20,000 transactions measured
  • Median and p90 published

vs Jito ShredStream, signatures only

77.6%

of races — TxStream first

vs Jito ShredStream, full payload

75.6%

of races — TxStream first

vs Yellowstone gRPC

99.97%

of races — TxStream first

Designed for Latency-Sensitive Systems

HFT Desks
Reduce signal distance between leader production and your execution engine.
DEX Aggregators
Stream structured transaction data to update quotes and paths in real time.
MEV Searchers
Shorten detection-to-submission cycles using shred-level transaction awareness.
Liquidation Engines
Trigger liquidation logic based on propagation-level transaction flow.
Backrunning
Decode the triggering transaction, then build the follow-up against a flagged stream.
Quant & RFQ Desks
Stabilize pricing models with decoded, filterable gRPC streams.

LEAD SOLANA. OWN THE TRADE

Ready to react before the block forms?

Access tuned RPC, gRPC, and trading-grade streams from day one.

The related cases and guides

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FAQ

What is MEV and how does it work on Solana?

MEV means Maximal Extractable Value: the profit available from reordering, including or excluding transactions in a block. On Solana, MEV bots watch pending transaction flow and act on it in a few recognizable ways — front-running a known large purchase, sandwiching a swap by buying before and selling after, liquidating risky positions on lending protocols, and arbitraging price differences between DEXes.

Solana's roughly 400ms block time is what makes this a high-frequency game. The faster your RPC, the sooner you see the opportunity and the more likely you beat competitors to it.

Why do MEV bots need ultra-fast RPC endpoints?

Because the whole window is measured in milliseconds. A large swap appears, a fast bot detects it within about ten milliseconds, buys ahead of it, and sells once the victim's trade has moved the price — the entire round trip finishing inside 150ms.

On a slow endpoint you see that same transaction half a second later, by which point it has already confirmed. There is nothing to front-run. The opportunity was never yours to lose; you simply never saw it in time. Every 100ms of latency costs real money daily.

What is the difference between Solana MEV and Ethereum MEV?

Block time is the main divide. Solana settles in around 400ms against Ethereum's 12 seconds, so Solana produces far more opportunities per day but each one is smaller. Ethereum is the reverse: fewer, larger extractions.

That shapes the competition too. Ethereum MEV is extremely saturated and requires competing against thousands of bots and Flashbots infrastructure. Solana needs sub-100ms bot speed to be viable at all, but the field is less crowded. More opportunities per day, less value per opportunity.

What types of MEV strategies are profitable on Solana?

The main ones, with rough returns and how crowded they are:

Liquidation hunting — monitor lending protocols like Solend and Marinade, liquidate risky positions. Around 5-10% of the liquidated amount, medium-high competition

DEX arbitrage — buy on Raydium, sell on Orca or vice versa. 0.1-0.5% per trade, very high competition

Sandwich attacks — front-run large swaps. 0.5-2% per target, extremely high competition since it is the most profitable

Token launch sniping — buy at launch before price moves. Potentially 5-50x, high competition and high risk since most launches fail

Flash loan arbitrage — borrow, trade, repay with fee. 0.2-1% per trade, very high competition

Liquidation hunting is the easiest entry point: clearer signals and less competition than the rest.

How much latency do I need for profitable MEV?

Under 50ms covers everything, including front-running and sandwich attacks. Between 50 and 100ms works for liquidations and arbitrage. Between 100 and 300ms you are limited to arbitrage alone. Above 300ms, MEV stops being realistic.

As a rule of thumb, each 100ms of latency removes roughly 30% of your profitable opportunities. At 500ms, most MEV is simply out of reach. RPC Fast delivers sub-40ms, which keeps every strategy on the table.

What is mempool monitoring and how critical is it?

It means watching pending transactions before they confirm, and for MEV it is the whole basis of the strategy. It is how you spot large swaps to front-run, liquidation transactions to compete on, new launches to snipe, and price movements worth arbitraging.

Without it you only learn about opportunities once they are already in blocks, which is too late to act on. With it you get a head start measured in blocks rather than milliseconds.

Is MEV extraction legal or ethical?

Legally, yes. MEV is a structural property of how blockchains order transactions, and validators and block builders extract it routinely.

Ethically it is genuinely debated. The case against is that sandwich attacks take value directly from retail users. The case for is that MEV exists at the consensus level regardless, so wider distribution beats concentration. On Solana the retail impact is smaller than on Ethereum because fees are low — a sandwich might cost a user a dollar rather than fifty.

Professional traders and protocols already anticipate MEV and structure transactions around it. If the ethics bother you, liquidation hunting is the strategy to pick: it supports protocol solvency rather than extracting from individual traders.

How much capital do I need?

It varies sharply by strategy. Liquidation hunting and flash loan arbitrage need essentially no trading capital, since one requires only an RPC connection and the other borrows the funds it uses; realistic daily profit sits in the low hundreds. DEX arbitrage wants somewhere between $1,000 and $5,000 working capital for $50-200 a day. Sniping needs $500-5,000 and produces volatile results that can run into thousands. Sandwich attacks are the most capital-intensive at $5,000-20,000, with correspondingly larger daily numbers.

For anyone starting with little capital, liquidation hunting is the obvious entry.

What is a sandwich attack and how do bots execute it?

Three transactions in sequence. You buy first, pushing the price up. The victim's larger swap then executes at that worse price. You sell immediately after, pocketing the difference.

Concretely: a victim swaps 1,000 USDC expecting 100 COPE. The bot front-runs by buying 50 COPE, which moves the price so the victim receives only 90. The bot then sells its 50 COPE into the elevated price, capturing roughly half of what the victim lost.

Execution depends entirely on speed: sub-40ms detection of the pending swap, instant order placement, priority execution, and minimal slippage on the bot's own two trades.

Are MEV bots more profitable on Solana or Ethereum?

Ethereum has the larger prizes, with sandwiches ranging from ten thousand to over a million dollars, and far more established research behind it. The problems are saturation, with thousands of bots competing, high gas fees eating margins, and Flashbots dominance making entry hard.

Solana is less saturated, with hundreds of bots rather than thousands, negligible fees, and a simpler architecture that makes bots easier to build. The trade-off is smaller opportunities, in the hundreds to low thousands, and less historical research to lean on.

For a new MEV developer, Solana is the more accessible starting point.

How does congestion affect MEV?

More congestion means more transactions, which means more sandwich targets and more opportunity overall. Quiet periods leave bots idle.

The catch is that congestion also degrades execution: the network is slower, transactions fail more often, and everyone is competing for the same extractions, so prices worsen. The practical answer is to scale aggressiveness with conditions — extract hard during peaks, and fall back to arbitrage and liquidations during quiet stretches, since those depend less on winning a race.

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