Draggin Karma Points DKP

Crypto Token · Rank #3033 by Market Cap · Updated 2026-04-19

D
21.1/100
ZARQ Trust Score
Security (30%)
0
Compliance (25%)
22
Maintenance (20%)
12
Popularity (15%)
81
Ecosystem (10%)
10

This token scores 21/100. What's yours?

Free security check, 2 seconds, nothing stored.

Risk Intelligence
Risk Level
N/A
DtD Score
1.39/5.0
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$0.000232
Market Cap$927.1K
Market Cap Rank#3033
24h Volume$685.41
24h Change-5.5%
7d Change+10.6%
30d Change-2.4%
Circulating Supply4.0B
Total Supply8.0B
Max Supply8.0B
All-Time High$0.005169
All-Time Low$0.000082

How Draggin Karma Points Compares

Draggin Karma Points (DKP)21/100 (D)
Bitcoin (BTC)81/100 (A)
Ethereum (ETH)76/100 (B+)

Draggin Karma Points scores 60 points below Bitcoin. Full comparison →

Frequently Asked Questions

What is the Draggin Karma Points Trust Score?

Draggin Karma Points (DKP) has a ZARQ Trust Score of 21.1 out of 100, graded D. This score is calculated across five dimensions: Security (30%), Compliance (25%), Maintenance (20%), Popularity (15%), and Ecosystem (10%).

Is Draggin Karma Points safe to invest in?

The ZARQ Trust Score provides a data-driven risk assessment but is not investment advice. Draggin Karma Points scored 0/100 on Security and 22/100 on Compliance. Current risk level: UNKNOWN. Always do your own research and consult a financial advisor.

What is the crash probability for Draggin Karma Points?

The current crash probability for Draggin Karma Points (DKP) 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 Draggin Karma Points compare to Bitcoin?

With a Trust Score of 21.1 (Grade D), Draggin Karma Points scores below Bitcoin, which typically rates above 70/100. Compare detailed metrics at zarq.ai/v1/crypto/compare/draggin-karma-points/bitcoin.

What is Draggin Karma Points's Vitality Score?

Draggin Karma Points'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/draggin-karma-points.

Is Draggin Karma Points a good investment in 2026?

ZARQ provides risk intelligence, not investment advice. Draggin Karma Points (DKP) currently has a Trust Score of 21.1/100 (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 Draggin Karma Points in 2026?

Draggin Karma Points (DKP) 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/draggin-karma-points before making any decisions.

How does Draggin Karma Points compare to Bitcoin in safety?

Draggin Karma Points has a ZARQ Trust Score of 21.1/100, 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/draggin-karma-points-vs-bitcoin.

What is the Draggin Karma Points risk level today?

As of today, Draggin Karma Points (DKP) 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/draggin-karma-points.

What chains does Draggin Karma Points support?

Draggin Karma Points (DKP) is available on internet-computer. Multi-chain availability can improve liquidity and ecosystem reach. Check the full Draggin Karma Points safety report at zarq.ai/crypto/token/draggin-karma-points.

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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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