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How to Build an Intent-Based DEX Aggregator With Solver and Filler Networks

How to Build an Intent-Based DEX Aggregator With Solver and Filler Networks

Your protocol should define:

  • Solver eligibility
  • Bonding requirements
  • Bid format
  • Solver fees
  • Reward mechanisms
  • Failed-fill penalties
  • Reputation
  • Capital requirements
  • Auction frequency
  • Tie-breaking rules

This is not merely an economic detail. Recent research into intent-based exchange markets found that changes to solver reward mechanisms can materially affect solver concentration, particularly for larger orders.

A DEX Aggregator Development Company building this infrastructure should therefore model solver economics before deploying the auction system.

Recommended Technology Stack

A production architecture could use:

1. Frontend: React / Next.js
2. Wallet: WalletConnect, embedded wallets, EIP-712
3. Backend: Node.js or Go
4. Orderbook: PostgreSQL + Redis
5. Solver engine: Rust / Go / Python depending on optimization requirements
6. Blockchain access: viem / ethers / chain-specific RPC infrastructure
7. Smart contracts: Solidity
8. Simulation: Tenderly or equivalent transaction simulation infrastructure
9. MEV protection: Private transaction infrastructure
10. Monitoring: Prometheus + Grafana
11. Analytics: ClickHouse or a comparable high-throughput analytics database

For high-volume systems, keep quote generation, auction coordination, solver computation, and settlement monitoring separate. A single backend service becomes a bottleneck as solver participation grows.

Security Checklist

Before launching an intent-based aggregator, test:

  • Signature replay
  • Malicious solver bids
  • Fake liquidity quotes
  • Stale quotes
  • Partial fills
  • Expired intents
  • Nonce reuse
  • Token approval exploits
  • Reentrancy
  • Settlement-contract failures
  • Cross-chain message spoofing
  • Oracle manipulation
  • Filler collusion
  • Auction censorship
  • Solver centralization
  • Gas-price manipulation

The biggest mistake is treating the solver as trusted infrastructure. Solvers should be economically motivated but technically constrained.

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