Is RAM a rug? Ram Altman rug check
Safety checks
- Mint authority revoked
- Freeze authority revoked
- No hidden transfer fees, hooks or delegates
- Liquidity $29,022
- Dev sold out (5 in → 10.3298 SOL out)
- Dev launched 789 tokens, 44 graduated
- 7 wallets sniped the launch, still holding 8.13%
- Rug guard: 5 block-0 wallets also bundled this dev's earlier launches
What the scan noticed
- dev has sold
- 7 wallets sniped the launch slots
- serial launcher (789 launches, 44 graduated)
- dev usually dumps within 5 min
Market data
| Price | $0.000126 |
| Market cap | $39.3K |
| Liquidity | $29.0K |
| 24h volume | $709.6K |
| 24h buys / sells | 753 / 569 |
| Holders | 548 |
| Organic trading score | 57/100 (medium) |
| Age | 13 hours |
| Token program | Token-2022 |
| RugCheck score | 1 |
Top holders
| #1 9CQK…CAwc | 3.14% |
| #2 6YRr…GzE1 | 3.06% |
| #3 HnG4…b9F3 | 2.67% |
| #4 91hi…mei8 | 2.47% |
| #5 5B79…9q2X | 2.24% |
| #6 GZet…J2vq | 2.15% |
| #7 GvBC…hfRZ | 2.13% |
| #8 E7go…8o4S | 2.09% |
| #9 Ffzt…S7qu | 2.06% |
| #10 7qWN…w5FK | 2.04% |
Top 10 hold 24.1% of supply.
Developer record
| Creator | shabbatmonster · JDQK…rSrT |
| Other coins launched | 197 |
| Launches in the last 7 days | 15 |
| Their coins that collapsed | 13.7% |
| Their coins that graduated | 13.7% |
RAM rug check FAQ
Is RAM a rug pull?
A.U.G.U.R Auspice rates Ram Altman (RAM) as high risk with a score of 35 out of 100 (grade C). 5 block-0 wallets also bundled this dev's earlier launches. It found 2 red flags and 1 warning when last scanned on 31 Oct 2026. No scanner can promise a token is safe.
Can the RAM developer mint more tokens or freeze wallets?
Mint authority revoked. Freeze authority revoked.
Who holds RAM?
The top 10 holders own 24.1% of the supply, across about 548 holders in total.
How much liquidity does RAM have?
About $29.0K in liquidity with $709.6K traded in the last 24 hours and a market cap near $39.3K.
Links
dexscreener · pumpfun · solscan
How this works: Auspice 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.