
Is DCT a rug? Dacity Coin rug check
Safety checks
- Mint authority revoked
- Freeze authority revoked
- No hidden transfer fees, hooks or delegates
- Top 10 wallets hold 27.54% (biggest 3.96%)
- Liquidity $44,933
- Dev holds 0%
- 4 wallets sniped the launch, still holding 4.86%
- Rug guard: no bundle, insider or serial-dev red flags
What the scan noticed
- 4 wallets sniped the launch slots
- top holders own 82.1%
Market data
| Price | $0.000274 |
| Market cap | $260.9K |
| Liquidity | $44.9K |
| 24h volume | $19.1K |
| 24h buys / sells | 205 / 124 |
| Holders | 259 |
| Organic trading score | 0/100 (low) |
| Age | 6 days |
| Token program | Token-2022 |
| RugCheck score | 1 |
Top holders
| #1 DFZY…2Vmj | 3.96% |
| #2 9FFt…PkCH | 3.51% |
| #3 4eJB…yMAQ | 3.09% |
| #4 982s…LLQx | 2.76% |
| #5 9GVw…o6Cf | 2.64% |
| #6 93Q3…3JKP | 2.47% |
| #7 CjxA…K3Ra | 2.37% |
| #8 9GSA…UJWk | 2.27% |
| #9 B2cB…pySh | 2.26% |
| #10 4Bc4…AmWB | 2.21% |
Top 10 hold 27.5% of supply.
Developer record
| Creator | turbocrabstandu · HCJL…kYXP |
| Other coins launched | 197 |
| Launches in the last 7 days | 46 |
| Their coins that collapsed | 0% |
| Their coins that graduated | 0.5% |
DCT rug check FAQ
Is DCT a rug pull?
MAD Rugscope rates Dacity Coin (DCT) as low risk with a score of 85 out of 100 (grade A). Contract, holders and liquidity check out. It found 0 red flags and 1 warning when last scanned on 24 Oct 2026. No scanner can promise a token is safe.
Can the DCT developer mint more tokens or freeze wallets?
Mint authority revoked. Freeze authority revoked.
Who holds DCT?
The top 10 holders own 27.5% of the supply, across about 259 holders in total.
How much liquidity does DCT have?
About $44.9K in liquidity with $19.1K traded in the last 24 hours and a market cap near $260.9K.
Links
dexscreener · pumpfun · solscan
How this works: Rugscope reads the token contract (mint, freeze, Token-2022 extensions), holder concentration and bundles, the developer's launch history, liquidity and organic volume, and, for pump.fun coins on the curve, a model trained on 48,857 real launch moments. Read the method.