Intel Incentivized Testnet
Last updated
Last updated
The Rivalz Testnet, which concluded on January 24, 2025, was established to scale, optimize, and grow the entire Rivalz infrastructure—encompassing five core modules: OCY DePIN, ADCS, NOSTRINGS, ROME, and VORD, collectively forming the World Abstraction Layer for AI agents. Each module addresses a key aspect of data management, connectivity, identity, resource orchestration, and AI application development. The successful testnet demonstrated the network’s ability to support millions of daily users, while laying the groundwork for ROME, our swarm protocol central to a self-sovereign AI economy.
These accomplishments highlight the robust scalability and community-driven adoption needed to validate large-scale AI and resource tokenization use cases.
Over 40 million registered rClients
Exceeding 1 million daily active rClients
1.8 million total testnet users
More than 240 million transactions
5 million unique wallets
A 750k+ strong community following across all socials
Testnet Activities:
Run rClients to provide storage space and manage data, verifying network reliability.
Engage with Rivalz Alliance projects by completing project-related tasks.
Claim Badgez by participating in partnered communities.
Complete Social and Validation Tasks such as connecting social accounts or performing community-driven actions.
Mint Data Fragmentz for intel discounts on the zNode sale and additional point rewards.
Refer Friends to the platform, earning referral points.
Whitelist Access: Early participants in Epochs 1 & 2 received whitelist privileges for the zNode sale, leading to sell-outs of Tier 1 and Tier 2.
Major Revamps in Epoch 3: A new AG Points system, new testnet activities, referral codes, and updated leaderboard mechanics. This iteration hugely improved the user experience and integrated modules like OCY DePIN (Data Module) and NOSTRINGS (Identity Module).
During the testnet, OCY DePIN—our decentralized peer-to-peer cloud network compatible with Retrieval-Augmented Generation (RAG)—underwent critical stress testing. Millions of users running rClients formed a globally distributed network, demonstrating high throughput and low latency data handling. This not only ensured secure, verifiable data flows but also proved that the platform can manage enterprise-level AI workloads. The ability to maintain data integrity, version control, and traceability was essential for real-time AI applications and validated the worldwide scalability of our data module.
A central objective of the testnet was to prepare the infrastructure for ROME, the Rivalz Resource Hub Module that transforms AI agents by tokenizing them into resource Agents (rAgents). The testnet’s results and activity demonstrate that ROME will be able to support a wide spectrum of AI-related financial operations, including tokenizing AI services and resources, enabling users to stake or lend rAgents for yield, and orchestrating AI Swarms as self-governing DAOs. Personal AI Agents (PAGs) will also gain the ability to hold assets, learn autonomously, and integrate seamlessly with the broader network.
By validating user engagement, transaction throughput, and network reliability, the testnet showed ROME’s potential to handle large-scale interactions between AI agents, real-world infrastructures, and Web3 ecosystems. This self-sovereign AI economy can flourish thanks to the stability and scalability of the Rivalz network, ensuring AI can evolve and operate at a global level with minimal friction.
