Rivalz Network
A platform providing infrastructure for AI agents to interact with real-world resources seamlessly.
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for Rivalz Network, derived from its capabilities.
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.
Overview
Rivalz Network is developing the World Abstraction Layer, an infrastructure that abstracts the complexities of connecting AI services and agents to various real-world resources. This platform enables seamless interaction between AI agents and digital or physical assets, unlocking the full potential of an agent-centric future. The network comprises five core modules: ROME (Swarm Protocol), OCY DePIN (Data Module), ADCS (Connectivity Module), NOSTRINGS (Identity Module), and VORD (Application Module), each serving a specific function to create a holistic ecosystem for AI agents.
Key features
- AI infrastructure
- decentralized data
- autonomous agents
- resource mapping
- world abstraction layer
Use cases
- Developers creating AI agents that require seamless integration with real-world resources.
- Projects aiming to leverage decentralized data processing and storage for AI applications.
- Organizations seeking to implement AI agents with autonomous access to digital and physical assets.
- Communities interested in participating in the governance and growth of AI-driven decentralized ecosystems.