OtterFlow (Data Feed)

OtterFlow is Toby's high-performance data infrastructure, delivering real-time blockchain data to searchers and protocols through the Laser Stream feed.

OtterFlow is Toby's high-performance data infrastructure, delivering real-time blockchain data to searchers and protocols through the Laser Stream feed.

MEV on Solana is a speed game. Searchers need clean, fast access to transaction and block data to identify and execute strategies (arbitrage, liquidations, backruns) before anyone else. OtterFlow exists to make that data accessible without requiring a six-figure hardware budget.

Laser Stream

Laser Stream is the core data feed powering OtterFlow. It delivers the same real-time Solana blockchain data that searchers and trading firms need, but through a refined pipeline that cuts the fat.

The result: 30-50% lower hardware requirements compared to alternatives like Jito's Firehose.

That's not a marginal improvement. For a searcher running multiple nodes across colocated infrastructure, cutting hardware costs by a third changes the economics of the entire operation. Strategies that were previously unprofitable become viable. Firms that couldn't afford to compete can now enter the market.

How It Works

Laser Stream optimizes data delivery at every layer:

• Stripped-down data pipeline -- removes unnecessary overhead from the raw data stream, delivering only what searchers actually need for strategy execution

• Reduced bandwidth consumption -- compressed, efficient data transmission that minimizes network load without sacrificing latency

• Optimized for MEV execution -- data is structured and delivered in formats that map directly to common MEV strategy patterns, reducing the processing work searchers need to do on their end

Built for Firedancer

OtterFlow is built exclusively for Solana's next-generation Firedancer validator architecture. The legacy Agave client is deprecated and unsupported.

This is a deliberate choice. Firedancer represents the future of Solana's validator infrastructure with higher throughput, better performance, and a fundamentally different architecture. Building exclusively for Firedancer means OtterFlow can take full advantage of its capabilities without carrying backward compatibility debt.

Who Uses OtterFlow

OtterFlow is for anyone who needs real-time Solana data to make fast decisions:

• MEV searchers -- the primary audience. Searchers need the fastest possible access to transaction data to identify and execute strategies. Laser Stream gives them that data at a fraction of the typical infrastructure cost.

• Trading firms -- quantitative and algorithmic trading operations that rely on real-time market data from the blockchain level, not just exchange APIs.

• Protocols -- DeFi protocols that need real-time chain data for oracle feeds, risk monitoring, or on-chain analytics.

Why It Matters for the Ecosystem

When MEV infrastructure costs are high, only a few well-capitalized firms can compete. That concentration leads to less competition, worse price discovery, and more extractive MEV behavior.

OtterFlow flips this. Lower hardware requirements mean more searchers can enter the market. More searchers mean more competition. More competition means more efficient MEV markets, with tighter arbitrage, faster liquidations, and better prices for everyone trading on Solana.

This is a core piece of Toby's OpenMEV thesis: making MEV infrastructure accessible isn't just good for searchers. It's good for the entire ecosystem.

Technical Reference

Laser Stream Connection (Devnet)

WebSocket for real-time streaming:

wss://laser.toby.so/v1/stream

REST API for historical queries:

https://laser.toby.so/v1/query

Subscribing to DEX Events

import WebSocket from "ws";

const ws = new WebSocket("wss://laser.toby.so/v1/stream", {
  headers: { "X-Toby-Key": process.env.TOBY_API_KEY },
});

// Subscribe to specific event types
ws.on("open", () => {
  ws.send(JSON.stringify({
    action: "subscribe",
    channels: ["dex_swaps", "liquidation_triggers"],
    filters: {
      dexes: ["raydium", "orca", "meteora"],
      minValueUsd: 1000,
    },
  }));
});

ws.on("message", (raw) => {
  const event = JSON.parse(raw.toString());
  console.log(event);
});

Event Payload Examples

DEX Swap Event:

{
  "type": "dex_swap",
  "timestamp": 1710284400123,
  "slot": 284719403,
  "data": {
    "dex": "raydium",
    "pool": "So11...USDC",
    "direction": "buy",
    "amountIn": { "mint": "USDC", "amount": 50000.0 },
    "amountOut": { "mint": "SOL", "amount": 342.8 },
    "priceImpact": 0.0023,
    "txSignature": "5KjR...xm9v"
  }
}

Liquidation Trigger:

{
  "type": "liquidation_trigger",
  "timestamp": 1710284401456,
  "slot": 284719404,
  "data": {
    "protocol": "marginfi",
    "account": "7xKp...b3Nq",
    "healthFactor": 1.02,
    "collateralValue": 128400.0,
    "debtValue": 125882.3,
    "liquidatableAmount": 12588.2
  }
}

Performance Benchmarks

Metric	Laser Stream	Jito Firehose	Self-hosted
Avg latency (ms)	~12	~18	~8
Hardware cost/month	$800-1,200	$2,000-3,500	$4,000+
Bandwidth (GB/day)	~45	~120	~180
Setup time	Minutes	Hours	Days

⚠️ Devnet Only: The endpoints, data, and benchmarks above are from the devnet environment. Mainnet endpoints will be published at launch.

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Next steps:

• How searchers use Toby's infrastructure

• Searcher integration guide