io.github.ArchalisRadar/archalis-radar · v1.0.0 · crypto-web3
Archalis Radar is healthy: it completed an MCP handshake in 5596 ms and exposes 4 tools.
BNB Chain token risk ratings (AAA to C), honeypot checks and rug pull forensics with on-chain proof
Endpoint: https://api.archalis.com/v1/mcp (streamable-http)
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| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 4 |
| Latency | 5596 ms |
| Last checked (UTC) | 2026-10-31T13:25:28.226Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-31T13:25:28.226Z | Healthy | 5596 |
get_token_rating | Risk rating of a BNB Chain token from AAA to C (SCAM for confirmed scam patterns, D after a rug pull), with risk flags, simulated buy/sell taxes, who controls the contract and the liquidity, the creator history and, after a collapse, the forensics of who took the money out. A token whose markets the |
check_wallet | What the radar knows about a BNB Chain wallet: pools it created and how they ended (rug pulls), other roles in pools (insider seller, received pulled liquidity, volume bot), who funded it, which wallets it funded, and the network of linked token creators it belongs to. From the radar archive (pools |
get_liquidity_alerts | Alerts from the liquidity sentinel, which reads every pool about every 1.5 seconds: pools whose base liquidity (BNB, USDT...) dropped 40% (liquidity_falling) or 70% or more (liquidity_collapsed) from their peak. Covers every pool found in the last 24 hours on PancakeSwap, Uniswap V4 and PancakeSwap |
get_rating_track_record | How often new BNB Chain pools ended in a rug pull after receiving each grade at their first analysis (official default rates), so the reliability of the ratings can be judged. |