Is SATOSHI a rug? SATOSHI NAKAMOTO rug check
Safety checks
- Mint authority revoked
- Freeze authority revoked
- 3% fee on every buy, sell and transfer — the dev can raise it (takes effect ~2 epochs, about 4 days, later)
- Name/image can still be changed by the dev
- Top 10 wallets hold 23.58% (biggest 2.96%)
- Liquidity $30,395
- Rug guard: no bundle, insider or serial-dev red flags
What the scan noticed
- Token-2022 transfer fee of 3.00% is skimmed from every buy, sell and transfer.
- Metadata is mutable - the name, ticker and image can still be changed.
Market data
| Price | $0.000108 |
| Market cap | $108.0K |
| Liquidity | $30.4K |
| 24h volume | $20.0K |
| 24h buys / sells | 148 / 78 |
| Holders | 206 |
| Organic trading score | 0/100 (low) |
| Age | 32 days |
| Token program | Token-2022 |
| RugCheck score | 1 |
Top holders
| #1 2s3y…QJEy | 2.96% |
| #2 7dTF…tJyd | 2.69% |
| #3 4sRK…3ysR | 2.56% |
| #4 3yWs…fVHt | 2.25% |
| #5 6JFB…8fxu | 2.22% |
| #6 9unW…cfoY | 2.2% |
| #7 DVQg…SCDn | 2.2% |
| #8 D2c9…8y4W | 2.19% |
| #9 8fgE…zk3V | 2.18% |
| #10 B4t4…3o71 | 2.14% |
Top 10 hold 23.6% of supply.
Developer record
| Creator | FirWiryRelish · BR5p…6tiH |
| Other coins launched | 0 |
| Launches in the last 7 days | 0 |
SATOSHI rug check FAQ
Is SATOSHI a rug pull?
MAD Rugscope rates SATOSHI NAKAMOTO (SATOSHI) as caution with a score of 64 out of 100 (grade C). A few things to watch before sizing up. Every trade also pays a 3% fee the dev can raise. It found 0 red flags and 2 warnings when last scanned on 22 Oct 2026. No scanner can promise a token is safe.
Can the SATOSHI developer mint more tokens or freeze wallets?
Mint authority revoked. Freeze authority revoked.
Who holds SATOSHI?
The top 10 holders own 23.6% of the supply, across about 206 holders in total.
How much liquidity does SATOSHI have?
About $30.4K in liquidity with $20.0K traded in the last 24 hours and a market cap near $108.0K.
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.