rug-checker

A Solana token rug-pull risk analysis evaluates ten risk vectors including mint authority, freeze authority, and LP lock status to produce a structured risk profile. It aggregates public data from Rugcheck.xyz, DexScreener, and Solana RPC to compute a weighted composite score.

To analyze a Solana token address, run a detect-token script to resolve it, then execute an analyze-risk script to evaluate ten risk vectors. The workflow outputs a Markdown report with a weighted composite score and a Discord v2 delivery friendly format.

No API keys are required for Solana rug-pull risk analysis using DexScreener or Rugcheck. The workflow operates entirely read-only, aggregating data from public sources with built-in fallbacks and confidence indicators to evaluate token risk.

The best way to evaluate Solana token liquidity depth and insider activity is a multi-source risk analysis workflow querying Rugcheck.xyz and DexScreener. It assesses ten risk vectors including liquidity depth and insider activity to compute a weighted composite risk score.

Generating a Solana token risk report requires curl, jq, and bc dependencies. These command-line tools facilitate data collection from public APIs, JSON parsing of on-chain responses, and numerical computation for the weighted composite risk score.

You should not rely on automated Solana rug-pull risk scores as absolute guarantees, because the read-only workflow aggregates public data with confidence indicators but cannot predict sudden insider actions. Use the structured Markdown report to inform decisions, not replace manual due diligence.