What is OpenLayer? All You Need to Know About OpenLayer

Intermediate2/7/2025, 3:00:35 AM
OpenLayer is an interoperable AI data layer designed to modernize data flows across digital ecosystems. It can be used for businesses and for training AI models.

What is OpenLayer?


Source: OpenLayer website

The blockchain space has three major problems. They are decentralization, security, and scalability. These problems are known as the blockchain trilemma, and the idea is that the three areas of blockchain technology cannot be optimized simultaneously.

Nowadays, data is important for anyone looking to build any solution on the Internet. However, to access this data, the interested party would have to pay a huge amount.

This huge amount of money creates an entry barrier and, combined with the blockchain trilemma, prevents the development of Web3 applications. OpenLayer is a project that solves all these problems by combining different existing approaches to create its unique solution.

OpenLayer is an interoperable AI data layer designed to modernize data flows across digital ecosystems. It aims to help users contribute and confirm data through a Chrome extension, with developers accessing this data upon user consent.

The project merges optimistic execution, cryptographic verification, and decentralized infrastructure to create a secure, efficient, and open platform for anyone to participate in.

History of OpenLayer

OpenLayer was co-founded in 2023 by Yuchen Jiang, Kevin Yin, and Chen Chen. The three founders previously worked at Robinhood, a financial technology company recognized for its commission-free trading platform.

Each co-founder has a wealth of experience in the tech industry. Chen served as a software engineer at Google, Yuchen as a software engineer at Facebook, and Kevin as a product manager at Dropbox.

In November 2024, OpenLayer raised $5 million in seed funding from investors, including a16z Crypto Startup Accelerator (CSX), Geometry Ventures, and others.

OpenLayer Functionalities: Data Contribution and Earning, Data Privacy, and Data Infrastructure


Source: OpenLayer website

Data Contribution and Earning

One of the project’s standout functionalities is its open-source data contribution. Participants can contribute their data through a user-friendly Chrome browser extension and earn rewards.

Users can earn daily points for completing simple tasks. These tasks are designed to be engaging and straightforward for anyone to participate in. In the future, these daily points are expected to be converted into tokens, rewarding early active participation.

Data Privacy

The OpenLayer project is about getting original data to those needing it. It is focused on providing access to real user data while maintaining privacy.

Users can tap into these authentic private data from different data sources. This access allows users to interact and make accurate predictions, as the data reflects genuine user behavior and preferences.

The platform also prioritizes AI training, enabling users to fine-tune AI models using this authentic data. This capability enables developers and businesses to create tailored solutions that meet specific needs.

Data Infrastructure

Having the right data is important for anyone serious about creating custom solutions, and this feature allows users to engage in precise targeting. The targeting is precise because it is based on users’ activities across different platforms.

The function is particularly useful for marketers and businesses seeking to reach specific demographics or user segments effectively.

The project also supports a custom data infrastructure enabling users to bring authenticated data feeds.

To create a custom data feed on OpenLayer, users typically start by identifying the API or website they wish to integrate. They must ensure that this source provides verified access, which may involve obtaining API keys or setting up permissions.

Once the source is established, users can configure their account to connect with the API using protocols aligned with OpenLayer’s infrastructure. The integration process involves defining how often the data should be pulled from the source and what specific information is required.

Users can set their rules within OpenLayer to filter and format the incoming data according to their needs. This customization allows for tailored solutions that fit various applications, whether it’s for AI training datasets, predictive analytics, or other use cases requiring specific types of information.

OpenLayer Main Features: Decentralized Data Layer, Optimistic Verifiable Computation (OVC), and Other Features

Decentralized Data Layer

Centralization is a big issue in the world of big data and AI, and one way the project solves this is through decentralization. This means the data used comes from different platforms, not from a central authority.

The project’s decentralized data layer is a fundamental component to enhance data security and accessibility. Decentralizing data storage and management reduces the risks associated with centralized systems, such as data breaches or single points of failure.

This means users can contribute their data while maintaining control over it. The project’s decentralized nature also ensures that data is confirmed through a network of participants rather than relying on a single authority.

The decentralized data layer also facilitates real-time updates and interactions, making it easier for users to access and utilize data as needed. The project supports various applications, from AI training to targeted marketing and data-driven decision-making.

Users can easily integrate their contributions into the project’s broader ecosystem, allowing for dynamic interactions that reflect current trends and behaviors. This open model encourages diverse contributions from various sources, enriching the overall dataset available for analysis and AI training.

Optimistic Verifiable Computation (OVC)

OVC is a key technology of the project, allowing it to integrate real-world data into its blockchain ecosystem. This means users can access and utilize external data sources without compromising the security and integrity of the blockchain.

An optimistic computation is a computation that makes guesses about its future behavior and then proceeds with execution based on these guesses. The optimistic nature of OpenLayer means computations are assumed correct unless proven otherwise.

OVC allows for efficient computation of off-chain data while ensuring that results can be verified on-chain. OVC significantly reduces the computational burden on the network by enabling rapid verification processes while maintaining high levels of trust.

Furthermore, OVC enhances user confidence in the platform by providing transparent mechanisms for verifying computations. Users can independently confirm that the results they receive are accurate and based on legitimate data sources.

Validation-as-a-Service Model (VaaS)

VaaS is another innovative component of OpenLayer that ensures the correct transaction validation processes. VaaS allows users to outsource complex validation tasks to dedicated infrastructures rather than managing them internally.

The VaaS model reduces operational costs and enhances efficiency using specialized resources designed for rapid validation. This service-oriented approach enables faster confirmations of transactions and reduces delays when interacting with the platform.

The VaaS model can accommodate increasing transaction volumes while maintaining high standards of accuracy and reliability.

EigenLayer Integration

EigenLayer is a protocol built on the Ethereum blockchain for the restaking of assets, and it is an important component that enhances OpenLayer’s capabilities. It works by facilitating on-chain transfers of data from public internet sources.

The technology allows users to pull verifiable external data into their workflows, broadening the information available for analysis and decision-making. EigenLayer works by connecting off-chain data with on-chain applications and acting as the bridge between traditional web services and blockchain technology.

Additionally, EigenLayer’s architecture promotes transparency by ensuring that all external data brought into the system is verifiable. Users can trust that the information they utilize has been authenticated through established protocols.

Node Operator

OpenLayer is particular about community involvement in the project and any type of user with minimal hardware requirements to become a node operator. The Node operator’s function is to promote decentralization and inclusivity in the project ecosystem.

A diverse set of node operators enhances resilience within the system as it reduces reliance on any single entity or group. Furthermore, having multiple node operators contributes to greater network security and reliability.

With many participants validating transactions and contributing resources, it becomes increasingly difficult for malicious actors to disrupt operations or manipulate outcomes. This distributed approach strengthens trust among users as they engage with a platform built on collective participation rather than centralized control.

Chrome Extension


Source: Chrome Webstore

To participate in the project users need to download the project Chrome extension, which allows them to engage with the platform features. The project Chrome extension is easy to use and designed with user experience in mind, allowing users to contribute their data.

This extension also allows users to track their daily tasks, earn points, and access real-time insights from contributed data sources. Its straightforward design ensures that even those who may not be tech-savvy can navigate it effectively without feeling overwhelmed.

OpenLayer AVS

OpenLayer AVS (Authenticated Value Streams) is a fast and secure solution that allows project users to bring anything on the public internet to the blockchain. Users can connect their external APIs or websites, pulling in verified and authenticated data.

OpenLayer AVS set-up usually involves a connection to the desired data source. This data source could be anything from a public API providing weather data to a proprietary market insight database.

Using its OVC feature, OpenLayer ensures that the data being integrated is accurate and tamper-proof. This means computations performed on the data can be verified, providing an additional layer of trust for users.

To create an authenticated value stream, users must first identify the API or website they wish to integrate. They will then configure their OpenLayer setup to establish a connection with this source, often requiring API keys or other authentication methods.

Once the connection is established, users can define parameters such as how frequently to pull data and what specific information is needed. OpenLayer AVS empowers users to build more applications that need real-time insights.

OpenLayer’s Risk Analysis

Advantages

OpenLayer offers several advantages that make it an attractive project. One of its key strengths is its ability to provide a decentralized data layer that enhances trust and security in AI applications.

Another significant advantage of OpenLayer is its user-friendly interface, which makes it accessible to a wide range of users. Additionally, OpenLayer’s focus on real-time data processing enables timely insights and decision-making, which is particularly valuable in dynamic environments like finance and marketing.

Disadvantages

Despite its several advantages, OpenLayer faces many disadvantages that could impact its adoption and success. One of the primary concerns is the complexity of integrating AI with blockchain technology.

Another disadvantage is the energy consumption associated with blockchain operations. Additionally, OpenLayer’s reliance on user contributions for data could lead to inconsistencies in data quality.

This variability might impact the reliability of AI models trained on such data, potentially affecting their performance in real-world applications.

Challenges

OpenLayer faces several challenges as it continues to grow and evolve. One significant challenge is regulatory compliance, particularly in the crypto and AI sectors, which are subject to evolving and often unclear regulations.

Another challenge OpenLayer faces is competition from established players in AI and blockchain. Projects like GenLayer and other AI-blockchain integrations are developing rapidly, offering similar functionalities and competing for market share.

Competitive Analysis

OpenLayer and GenLayer are both innovative projects that combine the powers of AI and blockchain technology. They use almost the same underlying technology but differ in their approach.

OpenLayer is focused on creating a decentralized data layer that enhances AI training and applications, while GenLayer is a decentralized blockchain platform. GenLayer integrates AI directly into smart contracts, creating “Intelligent Contracts.”

OpenLayer focuses on a modular data infrastructure that supports diverse applications across web2 and web3 ecosystems, while GenLayer is built around its GenVM execution environment and Optimistic Democracy consensus mechanism.

OpenLayer excels in providing accessible AI tools for crypto applications, while GenLayer stands out for its advanced smart contract capabilities and robust consensus mechanism.

OpenLayer’s approach is directed towards data management and AI training in the crypto space, whereas GenLayer is positioned as a platform for developing complex AI-driven blockchain applications.

Take Action on OpenLayer

Learn more about the OpenLayer project on Gate.io.

Author: Bravo
Translator: Viper
Reviewer(s): Matheus、Piccolo、Joyce
Translation Reviewer(s): Ashley
* The information is not intended to be and does not constitute financial advice or any other recommendation of any sort offered or endorsed by Gate.io.
* This article may not be reproduced, transmitted or copied without referencing Gate.io. Contravention is an infringement of Copyright Act and may be subject to legal action.

What is OpenLayer? All You Need to Know About OpenLayer

Intermediate2/7/2025, 3:00:35 AM
OpenLayer is an interoperable AI data layer designed to modernize data flows across digital ecosystems. It can be used for businesses and for training AI models.

What is OpenLayer?


Source: OpenLayer website

The blockchain space has three major problems. They are decentralization, security, and scalability. These problems are known as the blockchain trilemma, and the idea is that the three areas of blockchain technology cannot be optimized simultaneously.

Nowadays, data is important for anyone looking to build any solution on the Internet. However, to access this data, the interested party would have to pay a huge amount.

This huge amount of money creates an entry barrier and, combined with the blockchain trilemma, prevents the development of Web3 applications. OpenLayer is a project that solves all these problems by combining different existing approaches to create its unique solution.

OpenLayer is an interoperable AI data layer designed to modernize data flows across digital ecosystems. It aims to help users contribute and confirm data through a Chrome extension, with developers accessing this data upon user consent.

The project merges optimistic execution, cryptographic verification, and decentralized infrastructure to create a secure, efficient, and open platform for anyone to participate in.

History of OpenLayer

OpenLayer was co-founded in 2023 by Yuchen Jiang, Kevin Yin, and Chen Chen. The three founders previously worked at Robinhood, a financial technology company recognized for its commission-free trading platform.

Each co-founder has a wealth of experience in the tech industry. Chen served as a software engineer at Google, Yuchen as a software engineer at Facebook, and Kevin as a product manager at Dropbox.

In November 2024, OpenLayer raised $5 million in seed funding from investors, including a16z Crypto Startup Accelerator (CSX), Geometry Ventures, and others.

OpenLayer Functionalities: Data Contribution and Earning, Data Privacy, and Data Infrastructure


Source: OpenLayer website

Data Contribution and Earning

One of the project’s standout functionalities is its open-source data contribution. Participants can contribute their data through a user-friendly Chrome browser extension and earn rewards.

Users can earn daily points for completing simple tasks. These tasks are designed to be engaging and straightforward for anyone to participate in. In the future, these daily points are expected to be converted into tokens, rewarding early active participation.

Data Privacy

The OpenLayer project is about getting original data to those needing it. It is focused on providing access to real user data while maintaining privacy.

Users can tap into these authentic private data from different data sources. This access allows users to interact and make accurate predictions, as the data reflects genuine user behavior and preferences.

The platform also prioritizes AI training, enabling users to fine-tune AI models using this authentic data. This capability enables developers and businesses to create tailored solutions that meet specific needs.

Data Infrastructure

Having the right data is important for anyone serious about creating custom solutions, and this feature allows users to engage in precise targeting. The targeting is precise because it is based on users’ activities across different platforms.

The function is particularly useful for marketers and businesses seeking to reach specific demographics or user segments effectively.

The project also supports a custom data infrastructure enabling users to bring authenticated data feeds.

To create a custom data feed on OpenLayer, users typically start by identifying the API or website they wish to integrate. They must ensure that this source provides verified access, which may involve obtaining API keys or setting up permissions.

Once the source is established, users can configure their account to connect with the API using protocols aligned with OpenLayer’s infrastructure. The integration process involves defining how often the data should be pulled from the source and what specific information is required.

Users can set their rules within OpenLayer to filter and format the incoming data according to their needs. This customization allows for tailored solutions that fit various applications, whether it’s for AI training datasets, predictive analytics, or other use cases requiring specific types of information.

OpenLayer Main Features: Decentralized Data Layer, Optimistic Verifiable Computation (OVC), and Other Features

Decentralized Data Layer

Centralization is a big issue in the world of big data and AI, and one way the project solves this is through decentralization. This means the data used comes from different platforms, not from a central authority.

The project’s decentralized data layer is a fundamental component to enhance data security and accessibility. Decentralizing data storage and management reduces the risks associated with centralized systems, such as data breaches or single points of failure.

This means users can contribute their data while maintaining control over it. The project’s decentralized nature also ensures that data is confirmed through a network of participants rather than relying on a single authority.

The decentralized data layer also facilitates real-time updates and interactions, making it easier for users to access and utilize data as needed. The project supports various applications, from AI training to targeted marketing and data-driven decision-making.

Users can easily integrate their contributions into the project’s broader ecosystem, allowing for dynamic interactions that reflect current trends and behaviors. This open model encourages diverse contributions from various sources, enriching the overall dataset available for analysis and AI training.

Optimistic Verifiable Computation (OVC)

OVC is a key technology of the project, allowing it to integrate real-world data into its blockchain ecosystem. This means users can access and utilize external data sources without compromising the security and integrity of the blockchain.

An optimistic computation is a computation that makes guesses about its future behavior and then proceeds with execution based on these guesses. The optimistic nature of OpenLayer means computations are assumed correct unless proven otherwise.

OVC allows for efficient computation of off-chain data while ensuring that results can be verified on-chain. OVC significantly reduces the computational burden on the network by enabling rapid verification processes while maintaining high levels of trust.

Furthermore, OVC enhances user confidence in the platform by providing transparent mechanisms for verifying computations. Users can independently confirm that the results they receive are accurate and based on legitimate data sources.

Validation-as-a-Service Model (VaaS)

VaaS is another innovative component of OpenLayer that ensures the correct transaction validation processes. VaaS allows users to outsource complex validation tasks to dedicated infrastructures rather than managing them internally.

The VaaS model reduces operational costs and enhances efficiency using specialized resources designed for rapid validation. This service-oriented approach enables faster confirmations of transactions and reduces delays when interacting with the platform.

The VaaS model can accommodate increasing transaction volumes while maintaining high standards of accuracy and reliability.

EigenLayer Integration

EigenLayer is a protocol built on the Ethereum blockchain for the restaking of assets, and it is an important component that enhances OpenLayer’s capabilities. It works by facilitating on-chain transfers of data from public internet sources.

The technology allows users to pull verifiable external data into their workflows, broadening the information available for analysis and decision-making. EigenLayer works by connecting off-chain data with on-chain applications and acting as the bridge between traditional web services and blockchain technology.

Additionally, EigenLayer’s architecture promotes transparency by ensuring that all external data brought into the system is verifiable. Users can trust that the information they utilize has been authenticated through established protocols.

Node Operator

OpenLayer is particular about community involvement in the project and any type of user with minimal hardware requirements to become a node operator. The Node operator’s function is to promote decentralization and inclusivity in the project ecosystem.

A diverse set of node operators enhances resilience within the system as it reduces reliance on any single entity or group. Furthermore, having multiple node operators contributes to greater network security and reliability.

With many participants validating transactions and contributing resources, it becomes increasingly difficult for malicious actors to disrupt operations or manipulate outcomes. This distributed approach strengthens trust among users as they engage with a platform built on collective participation rather than centralized control.

Chrome Extension


Source: Chrome Webstore

To participate in the project users need to download the project Chrome extension, which allows them to engage with the platform features. The project Chrome extension is easy to use and designed with user experience in mind, allowing users to contribute their data.

This extension also allows users to track their daily tasks, earn points, and access real-time insights from contributed data sources. Its straightforward design ensures that even those who may not be tech-savvy can navigate it effectively without feeling overwhelmed.

OpenLayer AVS

OpenLayer AVS (Authenticated Value Streams) is a fast and secure solution that allows project users to bring anything on the public internet to the blockchain. Users can connect their external APIs or websites, pulling in verified and authenticated data.

OpenLayer AVS set-up usually involves a connection to the desired data source. This data source could be anything from a public API providing weather data to a proprietary market insight database.

Using its OVC feature, OpenLayer ensures that the data being integrated is accurate and tamper-proof. This means computations performed on the data can be verified, providing an additional layer of trust for users.

To create an authenticated value stream, users must first identify the API or website they wish to integrate. They will then configure their OpenLayer setup to establish a connection with this source, often requiring API keys or other authentication methods.

Once the connection is established, users can define parameters such as how frequently to pull data and what specific information is needed. OpenLayer AVS empowers users to build more applications that need real-time insights.

OpenLayer’s Risk Analysis

Advantages

OpenLayer offers several advantages that make it an attractive project. One of its key strengths is its ability to provide a decentralized data layer that enhances trust and security in AI applications.

Another significant advantage of OpenLayer is its user-friendly interface, which makes it accessible to a wide range of users. Additionally, OpenLayer’s focus on real-time data processing enables timely insights and decision-making, which is particularly valuable in dynamic environments like finance and marketing.

Disadvantages

Despite its several advantages, OpenLayer faces many disadvantages that could impact its adoption and success. One of the primary concerns is the complexity of integrating AI with blockchain technology.

Another disadvantage is the energy consumption associated with blockchain operations. Additionally, OpenLayer’s reliance on user contributions for data could lead to inconsistencies in data quality.

This variability might impact the reliability of AI models trained on such data, potentially affecting their performance in real-world applications.

Challenges

OpenLayer faces several challenges as it continues to grow and evolve. One significant challenge is regulatory compliance, particularly in the crypto and AI sectors, which are subject to evolving and often unclear regulations.

Another challenge OpenLayer faces is competition from established players in AI and blockchain. Projects like GenLayer and other AI-blockchain integrations are developing rapidly, offering similar functionalities and competing for market share.

Competitive Analysis

OpenLayer and GenLayer are both innovative projects that combine the powers of AI and blockchain technology. They use almost the same underlying technology but differ in their approach.

OpenLayer is focused on creating a decentralized data layer that enhances AI training and applications, while GenLayer is a decentralized blockchain platform. GenLayer integrates AI directly into smart contracts, creating “Intelligent Contracts.”

OpenLayer focuses on a modular data infrastructure that supports diverse applications across web2 and web3 ecosystems, while GenLayer is built around its GenVM execution environment and Optimistic Democracy consensus mechanism.

OpenLayer excels in providing accessible AI tools for crypto applications, while GenLayer stands out for its advanced smart contract capabilities and robust consensus mechanism.

OpenLayer’s approach is directed towards data management and AI training in the crypto space, whereas GenLayer is positioned as a platform for developing complex AI-driven blockchain applications.

Take Action on OpenLayer

Learn more about the OpenLayer project on Gate.io.

Author: Bravo
Translator: Viper
Reviewer(s): Matheus、Piccolo、Joyce
Translation Reviewer(s): Ashley
* The information is not intended to be and does not constitute financial advice or any other recommendation of any sort offered or endorsed by Gate.io.
* This article may not be reproduced, transmitted or copied without referencing Gate.io. Contravention is an infringement of Copyright Act and may be subject to legal action.
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