MUTE SWAP by Virtuals MUTE

Crypto Token · Rank #3803 by Market Cap · Updated 2026-04-17

D
23.7/100
ZARQ Trust Score
Security (30%)
0
Compliance (25%)
21
Maintenance (20%)
20
Popularity (15%)
90
Ecosystem (10%)
10

This token scores 24/100. What's yours?

Free security check, 2 seconds, nothing stored.

Risk Intelligence
Risk Level
N/A
DtD Score
2.76/5.0
Crash Prob (90d)
0%
Credit Rating
N/A 0/100
Weakness
0/4
Trend
STABLE
Bottlefish: None · 90d Drawdown: 0.0% · API · Signals Feed

Market Data

Price$0.001137
Market Cap$454.9K
Market Cap Rank#3803
24h Volume$333.8K
24h Change-1.6%
7d Change-12.5%
30d Change-30.5%
Circulating Supply400.0M
Total Supply1.0B
Max Supply1.0B
All-Time High$0.023985
All-Time Low$0.000977

How MUTE SWAP by Virtuals Compares

MUTE SWAP by Virtuals (MUTE)24/100 (D)
Bitcoin (BTC)81/100 (A)
Ethereum (ETH)76/100 (B+)

MUTE SWAP by Virtuals scores 57 points below Bitcoin. Full comparison →

Frequently Asked Questions

What is the MUTE SWAP by Virtuals Trust Score?

MUTE SWAP by Virtuals (MUTE) has a ZARQ Trust Score of 23.7 out of 100, graded D. This score is calculated across five dimensions: Security (30%), Compliance (25%), Maintenance (20%), Popularity (15%), and Ecosystem (10%).

Is MUTE SWAP by Virtuals safe to invest in?

The ZARQ Trust Score provides a data-driven risk assessment but is not investment advice. MUTE SWAP by Virtuals scored 0/100 on Security and 21/100 on Compliance. Current risk level: UNKNOWN. Always do your own research and consult a financial advisor.

What is the crash probability for MUTE SWAP by Virtuals?

The current crash probability for MUTE SWAP by Virtuals (MUTE) is 33.0%. This is calculated using ZARQ's Distance-to-Default model, which measures 7 risk signals including liquidity depth, holder concentration, ecosystem resilience, and structural risk.

How does MUTE SWAP by Virtuals compare to Bitcoin?

With a Trust Score of 23.7 (Grade D), MUTE SWAP by Virtuals scores below Bitcoin, which typically rates above 70/100. Compare detailed metrics at zarq.ai/v1/crypto/compare/mute-swap-by-virtuals/bitcoin.

What is MUTE SWAP by Virtuals's Vitality Score?

MUTE SWAP by Virtuals's Vitality Score measures ecosystem health across 5 dimensions: Ecosystem Gravity, Capital Commitment, Coordination Efficiency, Stress Resilience, and Organic Momentum. Check the live Vitality Score at zarq.ai/v1/vitality/mute-swap-by-virtuals.

Is MUTE SWAP by Virtuals a good investment in 2026?

ZARQ provides risk intelligence, not investment advice. MUTE SWAP by Virtuals (MUTE) currently has a Trust Score of 23.7/100 (Grade D) and risk level UNKNOWN. Review the risk signals carefully before investing. See our methodology at zarq.ai/methodology for how scores are calculated.

Should I invest in MUTE SWAP by Virtuals in 2026?

MUTE SWAP by Virtuals (MUTE) carries a D safety grade from ZARQ. Speculative-grade tokens require careful due diligence and position sizing. Review the full risk profile at zarq.ai/crypto/token/mute-swap-by-virtuals before making any decisions.

How does MUTE SWAP by Virtuals compare to Bitcoin in safety?

MUTE SWAP by Virtuals has a ZARQ Trust Score of 23.7/100, compared to Bitcoin which typically scores above 75/100. Key differences may include security infrastructure, regulatory compliance, and ecosystem depth. See the full side-by-side at zarq.ai/compare/mute-swap-by-virtuals-vs-bitcoin.

What is the MUTE SWAP by Virtuals risk level today?

As of today, MUTE SWAP by Virtuals (MUTE) has a risk level of UNKNOWN. This is derived from ZARQ's structural risk model which monitors on-chain concentration, liquidity depth, developer activity, and market microstructure. Crash probability: 33.0%. Updated daily at zarq.ai/crypto/token/mute-swap-by-virtuals.

What chains does MUTE SWAP by Virtuals support?

MUTE SWAP by Virtuals (MUTE) is available on base. Multi-chain availability can improve liquidity and ecosystem reach. Check the full MUTE SWAP by Virtuals safety report at zarq.ai/crypto/token/mute-swap-by-virtuals.

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Trust ratings, Distance-to-Default (DtD) scores, crash probabilities, trading signals, and all other data are derived from quantitative models and may contain errors, lag behind real-time conditions, or fail to predict future outcomes. Past performance, whether backtested or live, is not indicative of future results. All backtested results are hypothetical and do not represent actual trading.

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