Oracle Artificial Intelligence for Blockchains
Oraichain is a data oracle platform that aggregates and connects Artificial Intelligence APIs to smart contracts and regular applications. The world’s first oracle AI has arrived.
Why conventional blockchain doesn’t include AI models?
Current smart contracts cannot run AI models inside, and it is almost impossible to integrate an AI model into a smart contract. AI models should be complex approaches, such as SVM, neural network, and clustering. The reasons come from three characteristics of smart contracts as follows:
Strictness: smart contracts always follow strict rules in which the inputs must be 100% accurate (e.g. signature) to generate an output. However, AI models can hardly give such accuracy (e.g. face recognition). As a result, Oraichain is there to reduce some aspects of strictness to obtain better functionality and user experience.
Environment: smart contracts are mostly written in high-level programming languages such as Solidity and Rust that provide stricter syntax and better security. Nevertheless, the AI models are is typically written in Python or Java.
Data size: On one hand, smart contracts often have relatively small storage since it helps reduce transaction fees in some blockchain networks such as Ethereum. On the other hand, the size of an AI model is much bigger.
We’re offering Oracle Artificial Intelligence for Blockchains!
The proposed Oraichain could be a bridge to bring AI to smart contracts. The Oraichain mechanism seems similar to Band Protocol and Chainlink, but it focuses more on AI APIs and the quality of the provided AI models. In each user request, test cases are attached, and the providers’ API must pass a certain number of test cases to receive payment. The validators manage the features of test cases and AI model quality, and that makes Oraichain unique and different.
- Oracle AI: Oraichain enables smart contracts to securely access external AI APIs. Artificial Intelligence helps enhance smart contracts.
- AI Marketplace: search, trial, and select from an ever-growing library of AI algorithms created by a community of service providers. Integrate AI services into your applications (both Dapps and regular apps).
- AI Publisher: our publishing infrastructure provides both a central hub for creating, editing, and managing your AI services and the tools to launch those services to a global market.
- ORAI Staking: earn more while holding ORAI tokens by vesting them in 30-day staking sessions. By staking ORAI tokens, you support the operations of our blockchain network while getting rewarded with more ORAI tokens for your contributions.
- Request for AI (RFAI): a community crowdsource portal allowing anyone to make requests for, and offer to fund, new AI services that are currently not available on the market.
- ORAI DAO: you are the governor of the product serving you. Oraichain is of, for, and by the community. Oraichain team just helps initialize the project and when the mainnet is started, any changes of Oraichain should be reviewed by validators and stakeholders.
Oraichain’s System Overview
Oraichain is a public blockchain that allows users to create different data requests. Instead of users, smart contracts can also request data securely from AI APIs through Oraichain. The blockchain network is built based on Cosmos SDK along with Tendemint’s Byzantine Fault Tolerance consensus that helps speed up transactions’ confirmation time.
The ORAI consensus protocol is similar to the delegated proof-of-stake (DPoS). Indeed, the network consists of numerous validators, each owning ORAI tokens while other ORAI token holders can be delegators staking their tokens to validators and get rewards for each newly created block.
The second task of the validators is to collect data from AI providers and validate that data before they are written to the blockchain. To validate an AI API, validators will do testing based on the test cases given by users, smart contracts, and test providers. If users do not know which test case is good, they can request some test cases from test providers.
The flow of requesting an AI API is illustrated in the Oraichain’s System Overview figure. To perform a request, users or smart contracts need to call an oracle script that is available on the ORAI gateway or marketplace. In an oracle script, there are AI data sources (provided by AI providers), test cases, test source (optional), and transaction fees for each request. When a request comes, a random willing validator is chosen to perform this request. The chosen validator will fetch data from one or more AI providers on behalf of the user after executing the test scenarios, and if the AI provider fails in testing, the request is canceled.
A request is successful if its result is written to the Oraichain blockchain. The transaction result, which can be fetched from smart contracts and regular applications, is proof of execution, and fees are applied in this transaction. There is an overhead of reading results from Oraichain’s transactions, but it helps ensure that the AI API quality is good and there is no data tampering during the process of fetching data from AI providers.
Compared to Band Protocol and Chainlink, API testing based test cases is the unique functionality. Since Oraichain focuses on AI APIs, testing is very important to control the quality of AI providers. Besides, test providers can propose suitable test cases that users can choose to test an AI API. Test cases in the Oraichain marketplace can encourage AI providers to improve the accuracy of AI models.
Another interesting feature is that the Oraichain community has the power to rate the validators’ reputation for quality AI APIs improvement. If a validator has bad behavior, such as failing to perform test cases and validate AI providers, slow response time, and low availability, its holding token will be slashed.
Nevertheless, validators in Oraichain is responsible for performing many important tasks and could be a centralized point. Therefore, the number of chosen validators should be high in order to increase request performance, scalability, and high availability. Meanwhile, because we need many validators to participate in the Oraichain network and maintain their quality work, block reward and transaction fees must be applied for such validators to earn more ORAI tokens.
Token Economics
Running an AI request sent to the Oraichain network requires spending some ORAI tokens. In fact, the token plays a role as the transaction fee that is paid for request-executing validators, AI-API providers, test-case providers, and block-creating validators.
The transaction fee is different depending on the fee requirement of request-executing validators, AI-API providers, and test-case providers. Hence, it should be explicitly defined in MsgRequestData of a request. When there is a request, request-executing validators must decide if they want to execute it. After that, a random validator is chosen from the willing request-executing validators to execute the oracle script and create MsgResultReport in the end. The validator must clarify the fee paid to AI-API providers, test-case providers, and block-creating validators in the MsgResultReport.
If more than one validator is asked in the MsgRequestData (AskCount), the transaction fee is divided equally among the validators. The request-executing validators must decide if they accept such transaction fee.
When we mention the ORAI token, it means that it is the native token type that is created and contained in the Oraichain network. There is also another type of ORAI token created and issued using the ERC20 interface on the Ethereum network that we call ERC20 ORAI token. This ERC20 token is for ICO purposes, and there is a mechanism to synchronize ORAI tokens on the Oraichain network and ERC20 ORAI tokens on the Ethereum network.
The ORAI token is rewarded for each newly created block, so to keep the value of ORAI token, holders must stake their token to the Oraichain network. The rewarding token is divided based on the number of tokens that a holder is staking to a validator. Moreover, there is a mechanism to punish bad behaviors of validators in aspects of AI API quality, response time, and availability.
Oraichain’s Use Cases
- Flexible smart contracts using face authentication
There are several scenarios in which face authentication is very useful as follows: using your face to get your balance instead of using a private key, withdrawing tokens to registered wallets using your face, using your face in order to reset your private/public key pair, and using both your private key and face in order to execute a smart contract.
Using face authentication might be riskier than a private key, but it helps increase user experience. In cases of checking balance and withdrawing tokens to registered wallets, face authentication is safe and convenient.
- Fake news detection using different AI providers from Oraichain
This use case focuses more on a regular application that wants to check if the news can be trusted. Oraichain provides a marketplace in a decentralized manner in which combining results from different providers is possible. If the providers want to receive payments, their APIs must pass the test cases, which is when the APIs return the correct results of your own test cases.
- More use cases:
Smart contracts help check if a product is fake in the supply chain; Smart contracts deciding a loan based on users’ credit score; Smart contracts automatically pricing game items based on their characteristics and DNA; Marketplace of automated diagnostics for X-ray images, spam classification, handwriting detection using OCR, and citizen ID card detection using OCR.
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