Miss AI (MSAI) market snapshot:
Price $0.00106321, market capitalization $614.30K,
and reported 24-hour volume $1.01K.
Trading activity:
Reported 24-hour volume equals 0.16% of market capitalization.
YearBull indicators:
YearBull Rank #10,352. Bull Score 45/100.
YB Market Risk High. This relative market-volatility label is not an investment-safety assessment.
Cycle Late. Observed price change: 24h 0.00% · 7d 0.00% · 30d 0.00%.
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 Miss AI (MSAI)?
Source description
“Backed by Xeleb Protocol and built on BNB Chain, Miss AI is a tokenized AI Influencer co-created by a global Web3-native community. More than just a digital avatar, she serves as a real-time AI beauty companion — offering personalized skin analysis, daily advice, and tokenized engagement, all with no code required. $MSAI – a statement of what Web3 can achieve, blending creativity with real-world connection. ❤️🔥 Features hightlight: • Co-built by 3,000+ creators, launched via • AI-Powered Interaction: chat, voice, and livestream experiences • AI Beauty Assistant: skin analytics, routine tips, personalized style recommendations, and makeup tutorials • DAO Governance: community-driven with $MSAI token rewards and voting rights Miss AI is an intelligent multi-agent system designed for the domain of personal beauty and skincare. By leveraging advancements in computer vision, natural language processing (NLP), and coordinated multi-agent design, Miss AI delivers real-time, personalized skincare analysis and guidance. The system is fully modular, interpretable, and auditable — aligning with the core principles of decentralized AI and Web3 infrastructure.”
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.
Miss AI metric comparison
This comparison is a stored snapshot generated 2026-10-24 06:31 UTC from 264 daily observations available from 2025-12-31 through 2026-10-24. 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
$0.00106321
$0.00106321
$0.00106321
0.0%
n/a
Market cap
$614.3K
$614.3K
$614.3K
0.0%
P59.3
YearBull Rank
n/a
n/a
n/a
n/a
n/a
Bull Score
n/a
n/a
n/a
n/a
n/a
Turnover
0.16%
0.16%
0.16%
0.0 pts
P36.3
YB Market Risk
n/a
n/a
High
n/a
n/a
Cycle
n/a
n/a
Late
n/a
n/a
Median absolute daily movement 0.00%; distance from the highest local daily price -44.4%; circulating supply change 0.0%. These measurements are descriptive and do not predict future direction.
YearBull Rank context
YearBull Rank now for miss-ai: #10352.
Rank timeline (last 365 days)
Rank change (nearest points).
Reading rule: a smaller rank number indicates stronger placement.
7d window: no reference point available.
30d window: no reference point available.
Flow read: a quiet tape can still re-rank the pack.
Venue read: a broader footprint often smooths the rank trajectory.
Risk read: consistency often matters more than speed.
Cycle read: a single week rarely defines a phase on its own.
YearBull Rank is a relative ranking on YearBull designed to compare coins on a common scale and time window. It is a context signal for relative placement, not an outcome forecast.
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: 2026-08-14. Updated on a rolling basis; no fixed refresh date is promised. Venue listings and volumes are stored snapshots, not live quotes.
No exchange markets were returned by the public venue source when last checked on 2026-08-14.
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