Trading activity:
Reported 24-hour volume equals 5.40% of market capitalization. The local markets snapshot lists Gate, KuCoin and Uniswap V3 (Base) among venues with observed trading activity.
YearBull indicators:
YearBull Rank #752. Bull Score 82/100.
YB Market Risk High. This relative market-volatility label is not an investment-safety assessment.
Cycle Early. Observed price change: 24h 10.37% · 7d 99.46% · 30d 160.42%.
Values are descriptive and should be read together rather than as a price forecast.
Read the YearBull methodology.
Snapshot date: 2026-10-07.Data history: 90 days available in the latest 90-day window.
Methodology responsibility:
YearBull’s analytical methodology and presentation rules are developed and maintained by
Alan Zelvin, Founder & Lead Crypto Researcher.
This note identifies responsibility for the methodology; it does not attribute authorship of this data snapshot.
What is Rivalz Network (RIZ)?
Source description
“Rivalz Network is building infrastructure designed to connect AI services and agents to various real-world resources. This infrastructure addresses a key challenge in the rapidly growing AI sector: limited access to digital assets, human interactions, and decentralized physical networks. By simplifying these connections, Rivalz Network aims to enhance the capabilities of AI agents in the broader AI economy. Core components of the Rivalz infrastructure: ROME – Swarm Protocol ROME is a tokenized swarm protocol focused on orchestrating AI agents backed by real-world resources, enabling large-scale coordination and deployment. OCY DePIN – Data Module OCY DePIN is an AI-native data layer built on a decentralized, peer-to-peer node network. It provides secure data processing, storage, and retrieval for AI-driven applications. ADCS – Connectivity Module ADCS functions as an AI oracle, allowing decentralized applications to request AI, data, and agentic responses in a verifiable manner. NOSTRINGS – Identity Module NOSTRINGS is designed to handle identity and resource mapping. It enables users to create AI agents and define the digital or physical resources—such as assets, personal data, or human labor—those agents can access. VORD – Application Module VORD serves as an AI and Web3 platform for building and publishing AI applications. It supports both no-code and developer-focused workflows, offering fast publishing, monetization opportunities, and integration of custom SDKs.”
This source-supplied description may contain old, promotional, or unverified claims and is not YearBull editorial analysis.
Recorded networks: Base, Ethereum, Solana, Arbitrum One
Official links and contract records appear in Key Facts. Project details can change, so verify current information with the project.
Rivalz Network (RIZ) FAQ
How does ROME coordinate AI agents with real-world resources?
The project presents ROME as a tokenized swarm protocol for orchestrating AI agents backed by real-world resources. Its stated role is to support large-scale coordination and deployment, linking multiple agents with the assets, services, or other resources they may require. The project does not specify the protocol’s detailed coordination rules, token mechanics, or operational requirements.
What role does OCY DePIN play in Rivalz Network’s AI infrastructure?
OCY DePIN is positioned as an AI-native data layer operating through a decentralized, peer-to-peer node network. The project says it is intended to support data processing, storage, and retrieval for AI-driven applications. The project does not specify the node hardware requirements, data-validation process, storage incentives, or performance guarantees associated with this module.
How is ADCS intended to provide verifiable AI and data responses?
The project describes ADCS as an AI oracle that lets decentralized applications request AI, data, and agentic responses. Its stated purpose is to return those responses in a verifiable manner, creating a connection between applications and external computational or data resources. The project does not specify the verification method, participating providers, response fees, or dispute process.
What does NOSTRINGS manage for AI agents?
NOSTRINGS is designed to handle identity and resource mapping within the Rivalz framework. The project says users can create AI agents and define which digital or physical resources those agents may access, including assets, personal data, or human labor. It does not specify how permissions are enforced, how identities are authenticated, or how access can be revoked.
How does VORD support the creation and publication of AI applications?
VORD is presented as an AI and Web3 platform for building and publishing AI applications. It supports both no-code and developer-focused workflows, while the project says it offers fast publishing, monetization opportunities, and custom SDK integration. The project does not detail its supported programming environments, monetization terms, review process, or limits on published applications.
Rivalz Network metric comparison
This comparison is a stored snapshot generated 2026-09-30 06:30 UTC from 258 daily observations available from 2025-12-30 through 2026-09-30. It is separate from the latest analytical cards above. Percentiles compare the snapshot value with that day's analytical universe; a higher percentile means a larger observed value, not necessarily a better investment characteristic.
Metric
Snapshot
30d before
90d before
Change vs 30d
Universe percentile
Price
$0.00010166
$0.00005216
$0.00007838
+94.9%
n/a
Market cap
$507.3K
$261.9K
$391.1K
+93.7%
P58.4
YearBull Rank
#248
#554
#5,123
Improved 306
P97.3
Bull Score
82/100
52/100
19/100
+30.0 pts
P94.8
Turnover
5.14%
16.40%
24.03%
-11.3 pts
P74.6
YB Market Risk
Low
Low
Low
Unchanged
n/a
Cycle
Early
Early
Early
Unchanged
n/a
Median absolute daily movement 4.14%; distance from the highest local daily price -75.8%; circulating supply change +335.1%. These measurements are descriptive and do not predict future direction.
YearBull Rank timeline
Current YearBull Rank for rivalz-network: #752.
Rank timeline (last 365 days)
Rank movement (time windows).
Reading rule: lower numbers mean higher placement.
7d window (2026-09-30): #602 → #752 (down by 150).
30d window (2026-09-07): #191 → #752 (down by 561).
YearBull Rank is a relative ranking on YearBull designed to compare coins on a common scale and time window. Lower rank numbers correspond to stronger relative placement.
Downside posture: the same move can be stable in one market and fragile in another.
Market depth: liquidity often shows up as how easily the rank holds its gains.
Venue angle: a tightened venue set can reduce variance or increase it.
Cycle read: a quick bounce can still be a mean-reversion phase.
Editorial note:
This analysis was prepared by the YearBull research team under the direction of
Alan Zelvin,
Founder and Lead Crypto Researcher.
The assessment follows YearBull’s internal research methodology and editorial standards.
Methodology ·
Editorial Policy
Related Research
Continue with contextually connected profiles and category data:
Stored venue snapshot. Markets last checked: 2026-09-21. Updated on a rolling basis; no fixed refresh date is promised. Venue listings and volumes are stored snapshots, not live quotes.
