Token Metrics AI TMAI

Crypto Token · Rank #4884 by Market Cap · Updated 2026-04-16

D
21.7/100
ZARQ Trust Score
Security (30%)
0
Compliance (25%)
27
Maintenance (20%)
15
Popularity (15%)
73
Ecosystem (10%)
10

This token scores 22/100. What's yours?

Free security check, 2 seconds, nothing stored.

Risk Intelligence
Risk Level
N/A
DtD Score
2.68/5.0
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$0.000023
Market Cap$186.7K
Market Cap Rank#4884
24h Volume$29.4K
24h Change+20.0%
7d Change+224.8%
30d Change+29.5%
Circulating Supply8.3B
Total Supply10.0B
Max Supply10.0B
All-Time High$0.016159
All-Time Low$0.000006

How Token Metrics AI Compares

Token Metrics AI (TMAI)22/100 (D)
Bitcoin (BTC)81/100 (A)
Ethereum (ETH)76/100 (B+)

Token Metrics AI scores 59 points below Bitcoin. Full comparison →

Frequently Asked Questions

What is the Token Metrics AI Trust Score?

Token Metrics AI (TMAI) has a ZARQ Trust Score of 21.7 out of 100, graded D. This score is calculated across five dimensions: Security (30%), Compliance (25%), Maintenance (20%), Popularity (15%), and Ecosystem (10%).

Is Token Metrics AI safe to invest in?

The ZARQ Trust Score provides a data-driven risk assessment but is not investment advice. Token Metrics AI scored 0/100 on Security and 27/100 on Compliance. Current risk level: UNKNOWN. Always do your own research and consult a financial advisor.

What is the crash probability for Token Metrics AI?

The current crash probability for Token Metrics AI (TMAI) 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 Token Metrics AI compare to Bitcoin?

With a Trust Score of 21.7 (Grade D), Token Metrics AI scores below Bitcoin, which typically rates above 70/100. Compare detailed metrics at zarq.ai/v1/crypto/compare/token-metrics-ai/bitcoin.

What is Token Metrics AI's Vitality Score?

Token Metrics AI'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/token-metrics-ai.

Is Token Metrics AI a good investment in 2026?

ZARQ provides risk intelligence, not investment advice. Token Metrics AI (TMAI) currently has a Trust Score of 21.7/100 (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 Token Metrics AI in 2026?

Token Metrics AI (TMAI) 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/token-metrics-ai before making any decisions.

How does Token Metrics AI compare to Bitcoin in safety?

Token Metrics AI has a ZARQ Trust Score of 21.7/100, 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/token-metrics-ai-vs-bitcoin.

What is the Token Metrics AI risk level today?

As of today, Token Metrics AI (TMAI) 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/token-metrics-ai.

What chains does Token Metrics AI support?

Token Metrics AI (TMAI) is available on base. Multi-chain availability can improve liquidity and ecosystem reach. Check the full Token Metrics AI safety report at zarq.ai/crypto/token/token-metrics-ai.

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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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