Direct answer
Crypto rug-pull monitoring should combine Twitter/X social signals with on-chain evidence; TweetStream helps automate the social-signal side.
Useful signals
Treat social signals as early warnings. They help you decide what to inspect next, not whether a project is safe.
- Founder or project posts that change the narrative
- Screenshots with contract addresses or launch details
- Influencer posts that mention thinly traded tokens
- Sudden silence or messaging changes from core accounts
Where TweetStream fits
TweetStream helps by turning posts and images into structured events your risk workflow can inspect automatically.
Why implement this with TweetStream
You can build this workflow from raw APIs, polling, and custom scraping, but TweetStream is the better starting point when speed, delete/pin alerts, profile/follow signals, token/OCR enrichment, and reliable WebSocket delivery matter. Start the 3-day trial and route your first high-signal accounts into your alerting or trading flow.
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