Why Web3 Needs Its Own AWS Lambda

Protocols like UniswapX and CowSwap decouple transaction declaration from execution. This creates a massive, unpredictable spike in backend demand for solvers and fillers who must compute optimal routes in ~500ms before a user's intent expires.

• On-Demand Compute: Solvers need burst capacity, not 24/7 servers.
• Cost Efficiency: Pay only for the auction cycles you win, not idle time.
• Global Latency: Execution must be triggered from the region closest to the winning solver to minimize latency.

DeFi protocols, NFT marketplaces, and social apps require sub-second indexing of events from EVM, Solana, and Cosmos chains. Maintaining bespoke, always-on indexers for each chain is a capital and operational nightmare.

• Multi-Chain Burden: Scaling indexers across 50+ chains is prohibitively expensive.
• Event-Driven: Compute should spawn only when a new block or log appears.
• Stateful Workflows: Complex pipelines (fetch -> transform -> store) need managed execution, not cron jobs.

The rise of AI agents and smart accounts (ERC-4337) means millions of autonomous wallets will need to perform gasless transactions, batch operations, and off-chain computations. This is the "backend for your wallet" problem.

• Massive Concurrency: Scaling for millions of potential agent triggers per hour.
• Paymaster Services: Agents need serverless functions to sponsor gas and validate policies.
• Fault Tolerance: Agent operations must be reliable without managing server uptime.

Traditional cloud functions are opaque and centralized. In Web3, you need verifiable execution and instant, global availability without managing infrastructure.

• ~5-10s latency for traditional cloud cold starts is unacceptable for on-chain triggers.
• Centralized points of failure break the trustless promise of dApps.
• No cryptographic proof that the function executed as promised.

ZK-proven compute that runs off-chain and posts verified results on-chain. This is the core primitive for autonomous agents and cross-chain intents.

• Sub-second proofs via zkWASM or zkEVM for ~500ms finality.
• Cost reduction of ~90% vs. executing complex logic directly on an L1 like Ethereum.
• Enables new use cases: trustless data feeds, ZK-automated strategies, cross-chain messaging.

Smart contracts are isolated state prisons. A DeFi strategy needing data from Chainlink, liquidity from Uniswap, and settlement on Arbitrum requires a brittle patchwork of oracles and bridges.

• High latency from sequential, multi-chain transactions.
• Security risk increases with each external dependency (Oracle manipulation, bridge hacks).
• Poor UX with failed partial executions across chains.

Declare your desired outcome, not the transaction steps. A solver network competes to fulfill it atomically across domains, abstracting away complexity.

• Optimal execution via solver competition, saving ~15-30% on slippage and fees.
• Atomic success/failure across multiple chains and protocols, eliminating partial fills.
• The backbone for cross-chain MEV capture and generalized intent markets.

dApps are data-starved. Pulling in real-world data or cross-chain state via oracles like Chainlink is expensive, slow, and introduces a central trust assumption.

• ~$0.50+ per data point cost for premium oracle updates.
• Update latency of ~1-2 blocks creates arbitrage windows.
• Centralized data sourcing undermines decentralization.

Don't just fetch data; fetch a cryptographically verified computation on that data. Execute SQL queries or ML inferences with ZK proofs.

• Proven data freshness with sub-block time attestations.
• Enable on-chain AI and complex event triggers previously impossible.
• Direct integration with GMX for leveraged positions or Aave for risk models.