Is BAGSPAYBOT a rug? BagsPayBot rug check
Safety checks
- Mint authority revoked
- Freeze authority revoked
- No hidden transfer fees, hooks or delegates
- Name/image can still be changed by the dev
- Liquidity $23,161
- Rug guard: top 10 holders own 38% (max 35%)
What the scan noticed
- Top-pair liquidity under $25k ($23,161).
- Metadata is mutable - the name, ticker and image can still be changed.
Market data
| Price | $0.0000745 |
| Market cap | $74.4K |
| Liquidity | $23.2K |
| 24h volume | $34.1K |
| 24h buys / sells | 473 / 345 |
| Holders | 456 |
| Organic trading score | 0/100 (low) |
| Age | 19 days |
| Token program | SPL Token |
| RugCheck score | 7 |
Top holders
| #1 HLnp…TLcC | 15.57% |
| #2 DB6C…mjJN | 3.18% |
| #3 DGkN…zsM7 | 2.92% |
| #4 9WRt…c41d | 2.85% |
| #5 Fvkc…DhoB | 2.59% |
| #6 8jwk…Kq7f | 2.43% |
| #7 FrzS…7DZ1 | 2.39% |
| #8 F8nf…eqan | 2.22% |
| #9 7iEZ…3zQH | 2.22% |
| #10 3dQq…xL9S | 2.05% |
Top 10 hold 38.4% of supply.
Developer record
| Creator | wildlobster218 · JDQK…rSrT |
| Other coins launched | 197 |
| Launches in the last 7 days | 12 |
| Their coins that collapsed | 12.7% |
| Their coins that graduated | 11.7% |
BAGSPAYBOT rug check FAQ
Is BAGSPAYBOT a rug pull?
A.U.G.U.R Rugscope rates BAGSPAYBOT as high risk with a score of 35 out of 100 (grade B). Top 10 holders own 38% (max 35%). It found 1 red flag and 2 warnings when last scanned on 16 Oct 2026. No scanner can promise a token is safe.
Can the BAGSPAYBOT developer mint more tokens or freeze wallets?
Mint authority revoked. Freeze authority revoked.
Who holds BAGSPAYBOT?
The top 10 holders own 38.4% of the supply, across about 456 holders in total.
How much liquidity does BAGSPAYBOT have?
About $23.2K in liquidity with $34.1K traded in the last 24 hours and a market cap near $74.4K.
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.