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@pnllabs/plugin-pnllabs

v1.0.2

Published

Trust & risk verdicts for AI trading agents on Solana: realized-PnL wallet trust (not peak scores), wallet funding forensics, token safety, and trade cost. Pay-per-call via x402, free tier to try.

Readme

@pnllabs/plugin-pnllabs

Trust & risk verdicts for AI trading agents on SolanaPnL Labs as an ElizaOS plugin. Give your agent the truth before it copies a wallet or buys a token.

Every "smart money" score ranks wallets by peak gains. Peaks lie. We audited 30 tracked "smart money" wallets — half are genuinely losing money on-chain. This plugin recomputes realized PnL and returns a conservative verdict.

What your agent gets

| Action | Question | Verdicts | |---|---|---| | CHECK_WALLET_TRUST | Is this wallet worth copying? (real realized PnL) | TRUSTED · NEUTRAL · UNTRUSTED · UNVERIFIABLE | | CHECK_WALLET_FORENSICS | Where did its money come from? (cluster/Sybil links) | CEX_FUNDED · WALLET_FUNDED · … | | CHECK_TOKEN_SAFETY | Is this token structurally safe? | LOW_RISK … CRITICAL | | CHECK_TRADE_COST | What will this trade really cost? (real slippage) | ACCEPTABLE_COST … UNTRADEABLE |

Conservative by design: when numbers can't be reconstructed reliably, it returns UNVERIFIABLE instead of guessing.

Install

elizaos plugins add @pnllabs/plugin-pnllabs

Then add it to your character's plugins:

{
  "name": "MyTradingAgent",
  "plugins": ["@pnllabs/plugin-pnllabs"]
}

No API key needed to start — a daily free tier lets your agent try every check. Beyond that, calls are paid per request via x402 (USDC on Solana, no signup).

Config (optional)

| Env | Default | Purpose | |---|---|---| | PNLLABS_API_BASE | https://api.pnllabs.com | override API base |

Example

User: should I copy 57hECCDVNmP7jCY6XX6FxP31DQuKiwQhv2g3nxGPLPmV? Agent: (CHECK_WALLET_TRUST)UNTRUSTED: genuinely −47 SOL realized, only 27% of coins profitable.

Links

  • Site: https://pnllabs.com · API docs: https://api.pnllabs.com/docs
  • MCP server (for non-Eliza agents): https://github.com/PnLlabs/pnllabs-mcp

MIT © PnL Labs