Tech Stack
Last updated
Last updated
The Ringfence Protocol is an agentic, blockchain-integrated decentralized infrastructure for managing, securing, and monetizing data.
At the core of this system are data sources, data agents, the data lake, the platform, and the NEAR Blockchain, which work together to create a transparent, compliant, and revenue-generating data ecosystem.
Through this architecture, data originators retain control over their data. They are compensated whenever their data is utilized within the protocol, and data buyers can easily access the data they need.
The Ringfence Protocol is a layered system that integrates on-chain and off-chain components, facilitating secure data handling, storage, and monetization.
This architecture incentivizes data providers and Data Agent owners, supporting a seamless data monetization flow.
Here’s a breakdown of the components:
These include Escher, the Ringfence API, and additional consumer apps and blockchains, all of which provide essential data and user data to the Ringfence Protocol.
Data Originators: Users who provide data that powers the Ringfence Protocol. All third-party data origination must come through the Ringfence API for initial quality and uniqueness checks. Data can include browser activity, images, documents, and other digital assets.
Data Scrapers: Collect user data with user consent and securely forward it to the User Vault for storage.
Users contribute, manage, and control their data within the protocol. Their data, such as browser activity, photos, and documents, flows through the protocol for secure storage and potential monetization.
Ringfence Data Agents are autonomous AI agents involved in data processing, validation, and management, ensuring data quality, integrity, and compliance. Data Agents act as the Protocol's own data brokers, fetching, cleaning and validating data before selling it to data buyers via the Data Lake.
Data Processor: Prepares and organizes data to ensure it is structured and ready for distribution across the protocol.
Data Validator: Confirms data quality and integrity, verifying accuracy before datasets are finalized for use within the ecosystem.
Data Register System: Records metadata on-chain to confirm data provenance, creating a secure and transparent record of data origins.
Users can operate these Data Agents and are compensated with token rewards for their participation and contributions to data processing and decentralization. Learn more.
After data undergoes these processes, it is uploaded to the Ringfence Data Lake—an off-chain storage system—and registered within the protocol by signing a data hash, ensuring security and traceability.
The Ringfence Data Lake is the off-chain storage hub for processed data, housing it in secure databases. This structure provides efficient storage and retrieval capabilities, supporting complex data structures while minimizing on-chain storage costs.
Data Upload Controller: Manages the flow of data into storage.
Data Storage: Structured storage, supporting SQL databases, document databases, and more repositories.
Search API: Allows datasets to be efficiently retrieved, searched for and accessed.
Verification: Ensures data and Data Agents involved in processing are authenticated and compliant.
The Data Lake maximizes distribution reach and revenue potential for data originators by connecting to various DAOs, subnets, and marketplaces, including:
Ringfence Creator DAO on Story Protocol: Enables creators to share, monetize, and remix IP assets in a decentralized framework, ensuring secure ownership and rewarding contributions with $RCD and $RFAI tokens.
Ringfence Data DAO on Vana: Provides structured datasets for businesses, creating a steady revenue stream for data originators, who are rewarded in $RDD and Ringfence tokens.
Ringfence TAO Subnet on Bittensor: Supplies AI-ready data to the Bittensor ecosystem for model and agent development, with TAO rewards distributed to data originators, enhancing Ringfence’s role as a preferred data provider for decentralized AI.
Through these connections, the Ringfence Data Lake supports a comprehensive, user-owned ecosystem that enhances data monetization while ensuring compliance and security at every step.
Read more about the Data Lake.
The Platform offers a User Interface for data buyers, allowing the tools to interact with the protocol.
Authorization: Grants access to datasets based on permissions and contracts.
Dataset Preview: Buyers can view sample data before purchasing.
Purchased Datasets: Facilitates seamless access to acquired datasets.
Payment Processing: Ensures smooth financial transactions via the blockchain.
The platform interfaces with the Blockchain layer for transaction verification.
The blockchain layer is the underlying infrastructure providing essential contracts that power the protocol.
Data Agents Registry Contract:
Maintains a decentralized registry of all active Data Agents.
Records each agent’s performance, contributions, and reputation in the protocol.
Facilitates seamless onboarding and management of Data Agents.
Data Ledger Contract:
Tracks all data provenance activities, including validation, registration, and usage.
Provides immutable, on-chain records to ensure data integrity and traceability.
Links datasets to their originators, ensuring transparent attribution for compliance and compensation.
Ringfence Token Contract:
Governs the protocol’s native token ($RFAI), enabling reward distribution for Data Agents and contributors.
Ensures compliance with tokenomics, such as the 85% revenue share for contributors and the 15% protocol fee.
Powers incentive mechanisms like Perpetual Incentive Pools and referral rewards.
Payment Contract:
Automates payment distribution for all transactions within the protocol.
Supports stablecoin and token-based payouts, ensuring flexibility for users and Data Agents.
Provides escrow functionality to guarantee fair payments for data transactions.
Together, this helps to provide:
Frictionless Peer-to-Peer Payments: Enables direct and efficient transactions between Data Agents, data contributors, and buyers.
Data Provenance and Registry: Tracks data origins and metadata, ensuring compliance and transparent ownership records.
Smart Contract Automation: Manages incentives, licensing fees, royalties, and revenue distribution, reducing operational overhead.
