Proposal: Anti-Rug Protection for PumpFun Trading
Hi @chainstacklabs,
Your PumpFun/BonkFun bot looks great for new token launches.
Critical gap: PumpFun has the highest rug pull rate. 80%+ of tokens launched there are scams.
My contribution: SolSniper provides:
- Real-time anti-rug ML analysis
- Token scoring 0.0-1.0
- DexScreener + RPC data
- Free integration (MIT)
Use case: Before your bot buys a PumpFun token, check its risk score. If score > 0.5, skip it.
`python
from solsniper.anti_rug import AntiRugDetector
detector = AntiRugDetector()
risk = await detector.analyze(token_address)
if risk > 0.5:
print(f"Skipping {token_address} - high rug risk")
return
`
This could save your users millions in rug pulls.
Interested in adding anti-rug protection?
Best,
Ezequiel
Proposal: Anti-Rug Protection for PumpFun Trading
Hi @chainstacklabs,
Your PumpFun/BonkFun bot looks great for new token launches.
Critical gap: PumpFun has the highest rug pull rate. 80%+ of tokens launched there are scams.
My contribution: SolSniper provides:
Use case: Before your bot buys a PumpFun token, check its risk score. If score > 0.5, skip it.
`python
from solsniper.anti_rug import AntiRugDetector
detector = AntiRugDetector()
risk = await detector.analyze(token_address)
if risk > 0.5:
print(f"Skipping {token_address} - high rug risk")
return
`
This could save your users millions in rug pulls.
Interested in adding anti-rug protection?
Best,
Ezequiel