Rivalz: Building the Infrastructure for an Agent-Centric Future Through World Abstraction

Innovations and Expansion

Rivalz’s vision centers on making an agent-centric future not just possible but inevitable by providing the foundational infrastructure that allows AI agents to make informed decisions at scale in real-time environments. Rather than building another AI model or yet another blockchain, they’re creating the connective tissue between autonomous systems and the resources they need to operate effectively.

The proprietary architecture revolves around what Rivalz calls resource-backed tokenized AI agents, or rAgents. These aren’t traditional NFTs—they’re smart containers built on the ERC-6551 standard that function as token-bound wallets encapsulating both project tokens and the ecosystem token RIZ. The ROME protocol introduces Auto Agents as the specific implementation: tradable NFTs with fixed token allocations whose market value fluctuates based on real-time pricing of their underlying assets. This creates a liquid market for decentralized infrastructure resources.

The ADCS module deserves particular attention because it represents genuine technical innovation in the oracle space. Unlike traditional price feed oracles, ADCS is engineered for ultra-low latency and rapid validation specifically designed for AI agent operations. It provides validated and aggregated data across a broader spectrum than conventional oracles—from pricing feeds to blockchain indexing and protocol analytics—enabling AI-driven systems to execute complex operations in DeFi, healthcare, supply chains, and beyond.

What makes Rivalz particularly interesting is how they’re monetizing agent infrastructure through their DEX mechanism. Instead of direct token swaps, users buy and sell Auto Agents—those smart containers packed with project tokens and utility. Each agent functions as a dynamic position where holders earn rewards while holding, can bid using tokens of their choice, and exit anytime by selling or unwrapping to redeem underlying tokens directly.

The platform has rolled out ROME Season 2 following their first season, implementing a gamified rewards structure where DEX activities like buying, selling, and bidding earn points that raise user levels. Higher levels unlock escalating APY boosts for Auto Agent holdings starting at a base 5% annual yield, fee rebates on transactions, daily task rewards, and chances to win random Auto Agent airdrops at season’s end.

Looking ahead, Rivalz has mapped out concrete expansion with ROME v2 scheduled for Q2 2025. Planned developments include evolution of Swarm Tokens as financial primitives natively integrated into ROME, further tokenization of agentic services from existing Agent and DePIN projects, and the release of MASO (Mass Agent Swarm Orchestration) and RAS (Resource-based Agent System) frameworks.

Ecosystem and Utility

The technical architecture demonstrates real thought about how disparate systems need to communicate. ADCS v1 is already live, serving as middleware that enables decentralized applications to request AI inference, data, and agentic actions through verifiable oracle infrastructure. This isn’t just moving data between chains—it’s enabling AI-driven systems to interact with blockchain via oracles while maintaining rapid validation speeds necessary for real-time agent operations.

The OCY DePIN component operates as a decentralized peer-to-peer node network that enables secure data processing, storage, and retrieval. What’s particularly clever is how Rivalz leverages this infrastructure for Sidelined, their proactive AI copilot product. Rather than storing user data on centralized servers where it can be read or sold, everything stays encrypted on the OCY DePIN network with only encrypted embeddings traveling across nodes—no central server ever sees actual user data.

Speaking of Sidelined, it represents a practical application layer that turns infrastructure into tangible user utility. Users access cutting-edge AI chat with the latest models (GPT-4o, GPT-4.1, o4-mini, Gemini 2.5 Pro and Flash) absolutely free. More advanced features unlock through tiered access requiring 20,000 RIZ tokens or Rivalz zNode ownership. The platform integrates Model Context Protocol (MCP) for on-chain actions like verifying wallet ownership, submitting DAO votes, or sending transactions directly from chat with transparent gas costs.

On the DEX side, the functional mechanics create interesting economic dynamics. Auto Agents require seven consecutive days of holding to become eligible for weekly RIZ yield payments, calculated as the current USD value of the agent multiplied by APY percentage divided by 52 weeks. Users can buy agents with USDC, sell them for fees, unwrap them to destroy the NFT and receive underlying tokens directly, or participate in auctions through the bidding mechanism.

The ROME Season 2 rewards structure layers multiple earning mechanisms. Users accumulate points through platform activities that determine their level from 0 through ascending tiers. Each level unlocks progressively higher APY boosts on Auto Agent holdings, larger fee rebate percentages on all DEX transactions refunded at season’s end, increasing daily task rewards, and enhanced wRIZ accumulation that can be claimed when the season concludes.

The economic flywheel operates through aligned incentives: users purchase Auto Agents to access yield and participate in the ecosystem, holding periods generate RIZ rewards while simultaneous trading activity earns points toward level advancement, higher levels amplify APY returns which encourages longer holding and more trading, fees paid during activity get partially refunded based on final level status, and the entire mechanism creates liquidity and price discovery for resource-backed agent tokens.

Bottom Line

Rivalz represents something genuinely different in the crowded AI-meets-crypto landscape—infrastructure attempting to solve actual coordination problems rather than wrapping another AI model in token economics. The World Abstraction Layer concept addresses real friction: how autonomous agents access fragmented resources across digital and physical environments without requiring constant human intervention or complex integration work.

The proof points that matter include live functionality with ADCS v1 operational and ROME currently in v1 beta on Base mainnet. The Season 2 rewards program following a completed Season 1 demonstrates execution continuity. Multiple products are already functional: the DEX with Auto Agent trading mechanics, Sidelined AI copilot with encrypted data handling, and oracle infrastructure serving real-time data to applications. The modular architecture with five distinct but integrated components shows sophisticated systems thinking rather than monolithic design.

What makes this potentially sustainable beyond typical crypto cycles is the focus on utility infrastructure that other projects need. If AI agents and autonomous systems genuinely proliferate—which seems increasingly likely given broader AI trajectory—then coordination layers, data oracles, and resource tokenization become necessary primitives. Rivalz is positioning as essential middleware rather than competing for end-user attention directly. The OCY DePIN network generating actual value through encrypted data storage for Sidelined users represents revenue-generating infrastructure, not just speculative token mechanics.

Critical dependencies include successful migration to Rivalz L2 later this year, delivery of ROME v2 in Q2 2025, and broader adoption of their agent tokenization standard by other projects. The MASO and RAS frameworks need to prove genuinely useful for developers building agentic systems. And frankly, the entire thesis depends on AI agents actually requiring the kind of coordination infrastructure Rivalz provides—if agent architectures evolve differently than anticipated, positioning becomes less relevant.

That said, the technical ambition here deserves attention. Building oracle infrastructure specifically designed for AI agent latency requirements, creating encrypted data networks that preserve user privacy while enabling AI functionality, and tokenizing infrastructure resources as tradable assets represent thoughtful approaches to real problems. Whether Rivalz captures significant market share remains to be seen, but they’re addressing genuine infrastructure gaps in ways that demonstrate both technical competence and strategic positioning for an agent-centric future.