Trading activity:
Reported 24-hour volume equals 0.00% of market capitalization. The local markets snapshot lists BVOX and Meteora among venues with observed trading activity.
YearBull indicators:
YearBull Rank #4,604. Bull Score 51/100.
YB Market Risk Low. This relative market-volatility label is not an investment-safety assessment.
Cycle Early. Observed price change: 24h -0.31% · 7d -8.77% · 30d -17.39%.
Values are descriptive and should be read together rather than as a price forecast.
Read the YearBull methodology.
Snapshot date: 2026-10-27.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 METAVERSE (METAV)?
Source description
“METAVERSE is a pioneering AI-driven coin offering (aICO) launched by an AI agent within a Trusted Execution Environment (TEE). This AI, "aipool_tee," raised over 30,000 SOL in 24 hours and autonomously created a liquidity pool, showcasing a new model for secure and efficient fundraising. Unlike traditional ICOs plagued by human greed and fraud, METAVERSE leverages AI agents within TEEs to ensure transparent, pre-programmed operations and verifiable execution, eliminating risks associated with human error and malicious intent. Integrating technologies like ai16z (Eliza) and Phala Network, the project provides cryptographic security and real-time verifiability of all AI actions. METAVERSE represents a significant shift towards trustless, AI-governed fundraising and operations, offering a more reliable and secure alternative to traditional, human-led ventures in the blockchain space.”
This source-supplied description may contain old, promotional, or unverified claims and is not YearBull editorial analysis.
Official links and contract records appear in Key Facts. Project details can change, so verify current information with the project.
METAVERSE (METAV) FAQ
How does METAV use a Trusted Execution Environment in its fundraising model?
The project presents its Trusted Execution Environment, or TEE, as a protected setting where the AI agent’s programmed actions can be executed and checked cryptographically. METAV’s stated model is intended to reduce opportunities for tampering or unauthorized intervention during fundraising and operations. The project does not specify every security assumption, implementation detail, or independent validation process behind this approach.
What role does the aipool_tee agent play in METAV’s launch?
According to the project, the aipool_tee agent launched METAV and raised more than 30,000 SOL within 24 hours. It also says the agent autonomously created a liquidity pool, presenting this as an example of an AI-directed fundraising workflow. These claims describe the project’s operating model; the materials do not explain the agent’s full decision rules, permissions, or safeguards.
Why does METAV emphasize AI-governed fundraising instead of a traditional ICO?
METAV positions AI-governed fundraising as an alternative to human-led ICO processes. The project says pre-programmed operations and TEE-based execution can limit risks linked to human error, fraud, or malicious intervention. This is a stated design goal rather than a guarantee. The project does not define how disputes, unexpected behavior, or changes to the programmed rules would be handled.
How do ai16z’s Eliza and Phala Network fit into METAV’s architecture?
The project says it integrates ai16z’s Eliza and Phala Network as part of its AI-agent and cryptographic-security approach. It presents these technologies as helping support secure execution and real-time checking of agent actions. The materials do not set out the exact division of responsibilities between the components, their configuration, or whether all actions can be independently reproduced by outside users.
What does METAV mean by real-time verifiability of AI actions?
METAV describes real-time verifiability as the ability to check an AI agent’s actions through cryptographic mechanisms while operations occur. In the project’s framing, this is intended to make fundraising and related activity more transparent than an opaque human-controlled process. The project does not specify which events are exposed, how users perform checks, or what evidence would establish that an action followed its programmed rules.
METAVERSE metric comparison
This comparison is a stored snapshot generated 2026-10-23 06:30 UTC from 293 daily observations available from 2025-12-30 through 2026-10-23. 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
$0.0021279
$0.00241103
$0.00159072
-11.7%
n/a
Market cap
$2.13M
$2.41M
$1.59M
-11.7%
P72.9
YearBull Rank
n/a
#931
#904
n/a
n/a
Bull Score
n/a
74/100
67/100
n/a
n/a
Turnover
0.00%
0.00%
0.06%
0.0 pts
P3.1
YB Market Risk
n/a
Low
Low
n/a
n/a
Cycle
n/a
Early
Early
n/a
n/a
Median absolute daily movement 1.98%; distance from the highest local daily price -31.4%; circulating supply change 0.0%. These measurements are descriptive and do not predict future direction.
YearBull Rank update
Latest available YearBull Rank for metaverse: #4604.
Rank timeline (last 365 days)
Rank movement (time windows).
Reading rule: lower is better in this ranking.
7d window (2026-10-20): #2156 → #4604 (down by 2448).
30d window (2026-09-27): #1673 → #4604 (down by 2931).
Flow read: liquidity often shows up as how easily the rank holds its gains.
Venue angle: a broader footprint often smooths the rank trajectory.
Downside posture: the same move can be stable in one market and fragile in another.
Cycle read: recent movement can fit a transition rather than a clean trend.
YearBull Rank is a comparative index on YearBull that helps contextualize a coin’s position versus others over time. Lower rank numbers correspond to stronger relative placement.
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:
Venue refresh pending. Markets last checked: 2026-07-26. The next refresh is queued in the hourly updater. Venue listings and volumes are stored snapshots, not live quotes.
