Archalis Radar

BNB Chain token risk ratings (AAA to C), honeypot checks and rug pull forensics with on-chain proof

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
95%
Vollständigkeit des Schemas
77%
Qualität der Benennung
100%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~729Tokens (Tool-Definitionen)
~638 BTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (0.57% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

{
  "mcpServers": {
    "archalis-radar": {
      "url": "https://api.archalis.com/v1/mcp"
    }
  }
}

Remote-Endpunkte

https://api.archalis.com/v1/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (4)

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🟢get_token_rating(address, fresh)

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 radar cannot read (no pool with real liquidity in BNB, USDT, USDC, FDUSD or the other supported bases) is not rated: rating is null and notRated says why. Ratings measure structural risk, not price potential. Not financial advice.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "address": {
      "type": "string",
      "pattern": "^0x[0-9a-fA-F]{40}$",
      "description": "Token contract address on BNB Chain"
    },
    "fresh": {
      "type": "boolean",
      "description": "Run a new on-chain analysis instead of using the archive (counts against the daily fresh analyses of the plan)"
    }
  },
  "required": [
    "address"
  ],
  "additionalProperties": false
}
🟢check_wallet(address)

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 found since October 16, 2026).

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "address": {
      "type": "string",
      "pattern": "^0x[0-9a-fA-F]{40}$",
      "description": "Wallet or contract address on BNB Chain"
    }
  },
  "required": [
    "address"
  ],
  "additionalProperties": false
}
🟢get_liquidity_alerts(since_minutes, limit)

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 Infinity. The free plan sees alerts with a 60-second delay.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "since_minutes": {
      "type": "integer",
      "minimum": 1,
      "maximum": 1440,
      "default": 60,
      "description": "How far back to look"
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 200,
      "default": 50
    }
  },
  "additionalProperties": false
}
🟢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.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}

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Aktuelle Beobachtungen

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