Scorpion

Liquidity and market dynamics score 0 out of 100. On-chain liquidity depth is extremely thin, with only about $503 in 24h volume, which limits exit ability and increases price-move sensitivity. Exchange listing data shows 1 exchange and zero “green” trust signals, with the listing falling under “red” trust. Volume-to-market-cap metrics are missing, so there’s not enough information to judge market scale from typical liquidity ratios.

Team credibility score 55 out of 100. The asset is about 2.4 years old, and there is evidence of 1 audit firm’s work on record. However, the team is anonymous, which reduces transparency and makes it harder to assess accountability. The whitepaper quality is rated high at 100, which is a positive signal for clarity of the project’s intent. Overall, credibility sits in the middle range due primarily to the lack of doxxed leadership.

Social and behavioral signals score 53 out of 100. Social audience data indicates Telegram has 9,484 subscribers (Twitter is linked but follower count data is limited), while there is no snapshot available for influencer analytics. On the positive side, recorded risk signals show 0 allegations, no bad press, no regulatory flags, and no incidents. Still, research raised 3 additional concern(s) (agent red flags at 15), which keeps the score from being higher.

Contract mechanics and technical safety score 97 out of 100. The contract is verified (100), it shows no honeypot behavior (100), is open source (100), has minting disabled (100), and passes ownership safety checks (100). Balances appear locked (100), and trading taxes are 0% on both buys and sells (100). The supply cap is hard-capped at 1,000,000,000 (100). The main technical caveat is that there are hidden/pausable/blacklist-related functions indicated at 70, and slippage is described as modifiable.

Inherent crypto risk for Scorpion (smartcontracttoken). Even with strong contract-level safety indicators, the overall safety score is held back by very low liquidity and limited exchange “green” trust signals, which can amplify volatility and make trades harder to exit at intended prices. Additionally, the team is anonymous, so operational risk and accountability remain harder to evaluate.