Zero Ontology System SOLFUNMEME

Crypto Token · Rank #5036 by Market Cap · Updated 2026-04-14

D
26.7/100
ZARQ Trust Score
Security (30%)
20
Compliance (25%)
29
Maintenance (20%)
12
Popularity (15%)
67
Ecosystem (10%)
10

This token scores 27/100. 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$0.000179
Market Cap$166.8K
Market Cap Rank#5036
24h Volume$417.24
24h Change+7.5%
7d Change+19.1%
30d Change+33.7%
Circulating Supply926.1M
Total Supply999.8M
Max Supply1.0B
All-Time High$0.001009
All-Time Low$0.000060

How Zero Ontology System Compares

Zero Ontology System (SOLFUNMEME)27/100 (D)
Bitcoin (BTC)81/100 (A)
Ethereum (ETH)76/100 (B+)

Zero Ontology System scores 54 points below Bitcoin. Full comparison →

Frequently Asked Questions

What is the Zero Ontology System Trust Score?

Zero Ontology System (SOLFUNMEME) has a ZARQ Trust Score of 26.7 out of 100, graded D. This score is calculated across five dimensions: Security (30%), Compliance (25%), Maintenance (20%), Popularity (15%), and Ecosystem (10%).

Is Zero Ontology System safe to invest in?

The ZARQ Trust Score provides a data-driven risk assessment but is not investment advice. Zero Ontology System scored 20/100 on Security and 29/100 on Compliance. Current risk level: UNKNOWN. Always do your own research and consult a financial advisor.

What is the crash probability for Zero Ontology System?

The current crash probability for Zero Ontology System (SOLFUNMEME) 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 Zero Ontology System compare to Bitcoin?

With a Trust Score of 26.7 (Grade D), Zero Ontology System scores below Bitcoin, which typically rates above 70/100. Compare detailed metrics at zarq.ai/v1/crypto/compare/zero-ontology-system/bitcoin.

What is Zero Ontology System's Vitality Score?

Zero Ontology System'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/zero-ontology-system.

Is Zero Ontology System a good investment in 2026?

ZARQ provides risk intelligence, not investment advice. Zero Ontology System (SOLFUNMEME) currently has a Trust Score of 26.7/100 (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 Zero Ontology System in 2026?

Zero Ontology System (SOLFUNMEME) 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/zero-ontology-system before making any decisions.

How does Zero Ontology System compare to Bitcoin in safety?

Zero Ontology System has a ZARQ Trust Score of 26.7/100, 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/zero-ontology-system-vs-bitcoin.

What is the Zero Ontology System risk level today?

As of today, Zero Ontology System (SOLFUNMEME) 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/zero-ontology-system.

What chains does Zero Ontology System support?

Zero Ontology System (SOLFUNMEME) is available on solana. Multi-chain availability can improve liquidity and ecosystem reach. Check the full Zero Ontology System safety report at zarq.ai/crypto/token/zero-ontology-system.

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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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