All projects on Base matching “solana token safety”

Honeypot check, rug check and token safety check: is this token safe or a scam? Token verdict (safe/caution/danger), 0-100 token risk score and reasons. Chains: Base, Ethereum, Arbitrum, Optimism, Polygon, Robinhood Chain, Solana. Honeypot detector (EVM): simulated buy/sell with real tax. Rug check incl. Solana: owner, mint, blacklist, pause, proxy, mint/freeze authority, liquidity, holders, age.

Token risk / rug check / honeypot / scam safety screen for Base + Solana memecoins and tokens. $0.015 per call for up to 10 tokens: 25% cheaper per call than AX1 q-verdict ($0.02, one Base token per call) and over 10x cheaper per token in a 10-token batch ($0.0015/token). Returns raw numbers, not prose: liquidity, liquidity/FDV, top-holder concentration, mint & freeze authority, Token-2022 transfe

Solana SPL Token / Token-2022 mint and extension observations from finalized RPC; unknowns remain unknown. Free preparation returns an immutable report ID; paid read costs 0.01 USDC on Base. Not a sellability or safety verdict.

Safety Check (TAP Labs (made by TAP)): Token safety and security check for a token on Base or Solana, or a contract on Base, before you buy or swap. Looks for scam and rug pull warning signs: who can mint, freeze, blacklist, pause, tax or upgrade it, thin liquidity, a brand-new pool, big holders (Solana; Base tokens under 5 hours old), unverified code and scam-list matches (Base) and OFAC sanction

Token safety check (rug check) for AI agents before buying, sending or accepting a crypto token on Base, Ethereum or Solana: give its address, get name, supply, live on-chain price and pool liquidity, plus contract controls (owner, upgradeable proxy, mint, pause, blacklist, fee setters) or Solana mint and freeze authority, with plain warnings. Facts read from the chain, not a rating.

Web research in one call: ask a question and get a short cited answer, summarize a topic or get a Wikipedia summary. Returns a 1-3 sentence answer, key points tied to source ids, and the sources used (typically 1-5: title, URL, publisher, date, supporting quote), confidence and a free permalink. Sources: Wikipedia first, plus web pages, Stack Overflow, GitHub, papers, docs. Example: "What is the M