Protocol Monsters PMON

Crypto Token · Rank #4274 by Market Cap · Updated 2026-05-27

F
19.6/100
ZARQ Trust Score
Security (30%)
0
Compliance (25%)
25
Maintenance (20%)
12
Popularity (15%)
66
Ecosystem (10%)
10

This token scores 20/100. What's yours?

Free security check, 2 seconds, nothing stored.

Risk Intelligence
Risk Level
N/A
DtD Score
1.50/5.0
Crash Prob (90d)
0%
Credit Rating
N/A 0/100
Weakness
0/4
Trend
None
Bottlefish: None · 90d Drawdown: 0.0% · API · Signals Feed

Market Data

Price$0.053940
Market Cap$315.8K
Market Cap Rank#4274
24h Volume$0.001079
24h Change-0.0%
7d Change+154.7%
30d Change+209.5%
Circulating Supply5.9M
Total Supply8.7M
Max Supply10.0M
All-Time High$62.10
All-Time Low$0.014516

How Protocol Monsters Compares

Protocol Monsters (PMON)20/100 (F)
Bitcoin (BTC)81/100 (A)
Ethereum (ETH)76/100 (B+)

Protocol Monsters scores 61 points below Bitcoin. Full comparison →

Frequently Asked Questions

What is the Protocol Monsters Trust Score?

Protocol Monsters (PMON) has a ZARQ Trust Score of 19.6 out of 100, graded F. This score is calculated across five dimensions: Security (30%), Compliance (25%), Maintenance (20%), Popularity (15%), and Ecosystem (10%).

Is Protocol Monsters safe to invest in?

The ZARQ Trust Score provides a data-driven risk assessment but is not investment advice. Protocol Monsters scored 0/100 on Security and 25/100 on Compliance. Current risk level: UNKNOWN. Always do your own research and consult a financial advisor.

What is the crash probability for Protocol Monsters?

The current crash probability for Protocol Monsters (PMON) is not currently available. 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 Protocol Monsters compare to Bitcoin?

With a Trust Score of 19.6 (Grade F), Protocol Monsters scores below Bitcoin, which typically rates above 70/100. Compare detailed metrics at zarq.ai/v1/crypto/compare/polychain-monsters/bitcoin.

What is Protocol Monsters's Vitality Score?

Protocol Monsters'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/polychain-monsters.

Is Protocol Monsters a good investment in 2026?

ZARQ provides risk intelligence, not investment advice. Protocol Monsters (PMON) currently has a Trust Score of 19.6/100 (Grade F) 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 Protocol Monsters in 2026?

Protocol Monsters (PMON) carries a F safety grade from ZARQ. Speculative-grade tokens require careful due diligence and position sizing. Review the full risk profile at zarq.ai/crypto/token/polychain-monsters before making any decisions.

How does Protocol Monsters compare to Bitcoin in safety?

Protocol Monsters has a ZARQ Trust Score of 19.6/100, 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/polychain-monsters-vs-bitcoin.

What is the Protocol Monsters risk level today?

As of today, Protocol Monsters (PMON) 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 data is being computed. Updated daily at zarq.ai/crypto/token/polychain-monsters.

What chains does Protocol Monsters support?

Protocol Monsters (PMON) is available on ethereum, polygon-pos, binance-smart-chain. Multi-chain availability can improve liquidity and ecosystem reach. Check the full Protocol Monsters safety report at zarq.ai/crypto/token/polychain-monsters.

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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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