Solana Launches Verification Service (SAS): Analysis of the Differences Between Identification and Oracle Machine

On May 24th, Solana officially launched the Solana verification service (SAS) on its mainnet — an open, permissionless verifiable credential protocol system. This service allows trusted issuers to associate off-chain information ( such as KYC verification results, geographical qualifications, membership identity, or certification status, with user wallets. These verifications are digitally signed and can be shared across different applications, avoiding the issue of exposing sensitive personal data on the blockchain or duplicating verification steps.

![Solana launches AS identification verification service, how is this different from Oracle Machine?])https://img.gateio.im/social/moments-075d72b87fc5365464de6fcc7fcfe697(

By providing a neutral and permissionless proof layer, SAS is able to support compliance needs, access control, reputation system construction, and programmable identification applications across the Solana ecosystem, bringing users and developers a higher quality and smoother experience.

Although the Attestation Service ) and the Oracle Machine ( are both mechanisms for bringing off-chain information onto the blockchain, they have significant differences in their positioning, purpose, trust models, and how they operate. Below, we will conduct a systematic comparison:

Verification Service vs Oracle Machine Comparison Table

| Features | verification)Attestation Service( | Oracle Machine)Oracle( | |---------|---------------------------------------------------------------|------------------------------| | Main Functions | Convert off-chain "identification, status, behavior, and other subjective or static information" into on-chain credentials | Provide off-chain "objective, dynamic data" to the blockchain ) such as price, weather, etc. ( | | Data Nature | Subjective/Event-based: Whether adult, identification verification results, organizational membership verification | Numerical/Fact-based: Cryptocurrency prices, external API data, real-time weather data | | Data Structure | Reusable, wallet-bound verification "seal" ) claim ( | Data called in real-time in smart contracts ) such as price information stream ( | | Trust Basis | Specific "trusted publishers" ) such as identification agencies, decentralized organizations, device manufacturers ( provide signature proof | Multi-data source collection, aggregated and submitted by Oracle Machine network nodes | | Update Frequency | Low frequency, usually valid for a long time after generation | High frequency updates, possibly updating every minute or even shorter intervals | | Composability | Strong, one verification can be reused by multiple applications | Weak, price and other data mainly serve as input parameters for a specific transaction | | Privacy Protection | High level of privacy protection, only verifying "whether conditions are met", without disclosing detailed personal information | Usually does not involve user privacy data | | Project Representation | Solana Attestation Service, Ethereum Attestation Service )EAS( | Chainlink, Pyth, Band Protocol |

Application Comparison

Verification Service Application Scenarios: After users complete identity verification on the Web3 platform, they receive a blockchain certification credential labeled "Adult Verification". This credential is stored in the user's wallet, allowing any decentralized application that requires age verification to directly verify this credential in the future, without the user needing to resubmit identification documents or personal information.

Oracle Machine Application Scenarios: DeFi lending protocols need to obtain real-time ETH market prices to determine whether to trigger liquidation conditions. The system reads the current ETH/USD real-time price data through the Oracle Machine network, ensuring that financial operations are based on accurate market data.

Core Differences

Ultimately, the Oracle Machine is a mechanism for "providing data", focusing on the transmission of "objective facts" from outside the chain; while the verification service is a mechanism for "verifying identification or status", focusing on the on-chain expression of "subjective judgments or conditional verification" from outside the chain.

These two technologies play a complementary rather than a substitutive role in the blockchain ecosystem, together building bridges that connect the on-chain and off-chain worlds.