Scam check query
LLM Token Risk Scanner
LLM-related tokens sorted by warning signals and risk.
LLM-token searches often mix trend-chasing launches with copycats, so this page narrows the field to published matches with market data.
Published Token Matches
These pages only use published tokens with confirmed trading activity, which keeps the landing page focused on real market data.
TRXᅠ
SOLANA • Risk 98 • Vol 1.98
Address: GT3AhNKmLLMZ5ENCGYfTJn53isRjNg33qNT9pbHLLBdL
TRXᅠ (TRXᅠ) is a 0h old token on SOLANA with token address GT3AhNKmLLMZ5ENCGYfTJn53isRjNg33qNT9pbHLLBdL, risk score 98, and warning status. FreshToken
OPENAI DRIFT SORA ROBOT
SOLANA • Risk 98 • Vol 3.05K
Address: EEBF4chAUr5gnYLLm6WS4ZFb6jBUDLBqBcfyb8bWpump
OPENAI DRIFT SORA ROBOT (SORAFLT) is a 0h old token on SOLANA with token address EEBF4chAUr5gnYLLm6WS4ZFb6jBUDLBqBcfyb8bWpump, risk score 98, and warn
Nathan Allman
SOLANA • Risk 98 • Vol -
Address: GzsCytReAwxDJvdYTDb54PgwD4cZrvCEyusR2TLiMzVf
Nathan Allman (Allman) is a 6h old token on SOLANA with token address GzsCytReAwxDJvdYTDb54PgwD4cZrvCEyusR2TLiMzVf, risk score 98, and warning status.
Donald Prump
SOLANA • Risk 98 • Vol 14.53K
Address: 6qsEUBCFD8BLLm86YDnBtGTkoHbBokh8YpL6tP1AFFvb
Donald Prump (PRUMP) is a 5h old token on SOLANA with token address 6qsEUBCFD8BLLm86YDnBtGTkoHbBokh8YpL6tP1AFFvb, risk score 98, and warning status. F
Lobster Language Model
SOLANA • Risk 90 • Vol 6.94K
Address: 6Nm8neNJC7EKcufenVHL3fwnGr4nFSf2EPrvN2ntFAHR
Lobster Language Model (LLM) is a 20h old token on SOLANA with token address 6Nm8neNJC7EKcufenVHL3fwnGr4nFSf2EPrvN2ntFAHR, risk score 90, and warning
Lobster Language Model
SOLANA • Risk 90 • Vol 9.72K
Address: AGKeQMuzKzDm3ycN9uow4bgm4CcC2K8qv4QBT4xmP2Gm
Lobster Language Model (LLM) is a 22h old token on SOLANA with token address AGKeQMuzKzDm3ycN9uow4bgm4CcC2K8qv4QBT4xmP2Gm, risk score 90, and warning
Lobster Language Model
SOLANA • Risk 90 • Vol 5.41K
Address: 4xxJhryGCn3ogitmfhvpQHJSTY79VcuZuSr3qoaMKUwH
Lobster Language Model (LLM) is a 21h old token on SOLANA with token address 4xxJhryGCn3ogitmfhvpQHJSTY79VcuZuSr3qoaMKUwH, risk score 90, and warning
Lobster Language Model
SOLANA • Risk 90 • Vol 5.28K
Address: 2CzxwyfuUDQxMcyW7bTH4sCKDn7AJvb7TwE9heXvYmXC
Lobster Language Model (LLM) is a 21h old token on SOLANA with token address 2CzxwyfuUDQxMcyW7bTH4sCKDn7AJvb7TwE9heXvYmXC, risk score 90, and warning
Why this landing page exists
Exact-match searches
The goal is to turn chain, symbol, and token-address searches into indexable pages that link straight into the token reports.
Published tokens only
FreshTokenWatch only includes tokens that passed the publication gate first, while dead-token pages can continue to show those published records after activity collapses.
Internal discovery
Every match connects back to chain pages, trending pages, and exact-token reports so Google and users can move deeper into the site.
Common questions
What does this llm token risk scanner page show?
LLM Token Risk Scanner lists tokens matching "llm" that match the current FreshTokenWatch filters for risk, status, search term, liquidity, or volume. It only includes published tokens with current market activity.
Are these token pages updated automatically?
Yes. The landing page pulls from the same live token index and updates as new published tokens qualify for the matching scanner filters.
Can I search by exact token address from here?
Yes. Every listed token links to its own FreshTokenWatch token detail page, where the full token address, chain, risk score, liquidity, and related scanner links are visible.
Related Scam Check Pages
High Risk Token Scanner
Live list of high-risk tokens ranked by risk score.
Open pageWarning Status Tokens
Tokens currently marked as warning by risk model.
Open pageDead Tokens List
Tokens marked as dead by liquidity and activity heuristics.
Open pageActive Low-Risk Tokens
Active tokens with low-risk score profile.
Open pageHigh Liquidity Tokens
Tokens ordered by highest on-chain liquidity.
Open pageHigh Volume Tokens
Tokens ordered by 24h trading volume.
Open page