If you're an Ethereum developer or backend engineer, chances are your application or indexer frequently makes the same read-only RPC calls, such as eth_call, eth_getBalance, or eth_getLogs, against providers like Infura or Alchemy. You know the pattern: repeated queries for data that hasn't changed, yet each request contributes to your operational costs and rate-limit pressure. If you're seeking to avoid redundant eth_call operations and optimize your infrastructure, this scenario is likely all too familiar.
The Problem: Redundant RPC Calls and Unnecessary Overhead
Ethereum developers often find themselves making the same read-only RPC calls — eth_call, eth_getBalance, eth_getLogs, eth_getCode, eth_blockNumber, eth_chainId — over and over against their RPC provider. This happens in various common scenarios:
- Polling Loops: An application might repeatedly check a contract's state or a user's balance within a polling loop, even if the underlying data on the blockchain has not changed since the last query.
- Repeated State Checks: An indexer or dashboard might frequently query the balance of multiple addresses or the code at a specific address, leading to many identical
eth_getBalance or eth_getCode calls.
- Historical Log Queries: When processing historical data or re-syncing, an application might re-query
eth_getLogs for specific blocks or topics, even if those results were fetched recently.
Each of these repeated calls, despite often returning identical data, counts as a new request against your provider. This drives up cost and contributes to rate-limit throttling, with no caching layer sitting in front of the endpoint to catch requests for data that hasn't changed. This is exactly the kind of problem NodeCache is built to solve.
The Analysis: Why Current Models Don't Scale
As your application's user base and activity grow, this pattern creates a direct relationship between your request volume and the pressure on your RPC provider. This pressure scales with the number of requests, not necessarily with the actual frequency of data changes on the blockchain. Many states within smart contracts or account balances remain static for extended periods, yet the current RPC consumption model often treats every request as unique and new.
Without an intelligent intermediary, your application is forced to re-fetch data that is already known and stable, leading to unnecessary network round-trips and increased resource consumption at the provider level. This can quickly become a bottleneck for applications aiming for scalability and responsiveness.
Introducing NodeCache: A Smart Caching Layer for EVM RPC Calls
NodeCache is an EVM RPC caching layer designed to intercept and manage read-only JSON-RPC calls for Ethereum mainnet. It specifically targets methods like eth_call, eth_getBalance, eth_getCode, eth_getLogs, eth_blockNumber, and eth_chainId.
Here's how it works: When your application makes one of these supported read-only RPC calls, NodeCache intercepts the request. It checks if an identical request (same method and parameters) has been made recently and if its response is still valid within a predefined Time-To-Live (TTL). Each method has a method-appropriate TTL for how long different types of data are considered fresh.
If a valid, cached response exists, NodeCache serves it directly, preventing the request from ever reaching your upstream RPC provider. When a request's response is not in the cache or its TTL has expired, NodeCache does not serve a cached response. Responses received from the RPC provider are then cached by NodeCache for future use. This mechanism helps avoid redundant RPC calls for data that has not changed.
It is important to note that NodeCache supports Ethereum mainnet only today. It focuses exclusively on read-only operations and does not proxy or cache state-changing methods, such as transactions.
By intelligently caching responses for frequently accessed but infrequently changing data, NodeCache helps your application retrieve information without repeatedly querying your RPC provider. This approach addresses the core issue of redundant RPC calls, offering a practical solution for developers and engineers building on Ethereum mainnet.
To streamline your application's interaction with the Ethereum mainnet and avoid redundant RPC calls, consider integrating NodeCache. It provides a dedicated rpc caching layer for ethereum that can help cache eth_call responses by reducing the number of requests sent to your provider.
Ethereum · RPC · Caching · NodeCache · EVM · eth_call · eth_getBalance · eth_getLogs · Developer Tools · Blockchain
