By design, blockchain is a highly closed system. Nodes validate transactions and data in blocks through consensus mechanisms. Any information written to the blockchain must be independently verified by nodes in the network. This structure guarantees system security and consistency, but it also means that the blockchain cannot proactively access external networks.
From a technical perspective, smart contracts run within a virtual machine environment and can only read existing on-chain data such as account balances, transaction records, or the state of other contracts. Any data from the internet or the real world, if not written to the blockchain, cannot be directly accessed by smart contracts.
This design is actually a security choice. If blockchain allowed smart contracts to freely access external data sources, nodes would be unable to verify the authenticity of that data, and the system’s consensus mechanism would lose its meaning. Therefore, blockchain chooses to limit itself to a verifiable but closed data environment.
In other words, blockchain can guarantee the trustworthiness of on-chain data but cannot ensure that real-world data automatically enters the chain. This is the first data dilemma blockchain faces at the application layer.
When developers begin building on-chain applications, the problems of this closed structure gradually emerge. Many financial applications require real-time data as triggers, such as asset prices, interest rates, or market indices. However, smart contracts cannot call external servers for information via APIs like traditional applications.
This limitation brings several key challenges:
Decentralized trading protocols or lending platforms need real-time prices to determine liquidation conditions, but the blockchain itself does not store external market prices.
Insurance protocols may need to determine if a flight is delayed or if weather meets certain criteria—these pieces of information exist in real-world data systems.
Some financial products need to execute based on specific time points or market conditions, but blockchain nodes do not proactively monitor real-world changes.
Therefore, without a mechanism that can securely bring external data onto the chain, many Web3 applications cannot operate normally. Innovative scenarios such as DeFi, prediction markets, and on-chain insurance are difficult to realize.
Oracles were created precisely to solve this problem as foundational infrastructure. The core task of an oracle is to bring off-chain data onto the chain and provide it to smart contracts in a way that can be verified and used by blockchain.
Oracle systems typically undertake several key functions:
In the Web3 ecosystem, oracles have already become critical infrastructure. For example, lending protocols rely on price oracles to trigger liquidations; derivatives protocols need real-time prices to calculate returns; stablecoin systems require oracles to monitor the value of collateral assets.
It can be said that oracles open a window of data for blockchain. They allow the closed on-chain environment to interact with the real world, turning blockchain from just a transaction record system into a platform capable of running complex economic activities.