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NolandAI is an enterprise-ready, AI-powered Solana trading agent that combines on-chain analytics, social sentiment scraping, and a fine-tuned LLM to generate actionable trading calls. It ships as an npm SDK plus a FastAPI backend and a React/Next.js UI.
@mobyagent, @whalewatch).fingpt-forecaster_dow30_llama2-7b_lora on Hugging Face).nolandai npm package) for JS/TS integration.”`bash npm install nolandai ts Copy code import { NolandAI } from “nolandai”;
const bot = new NolandAI({ apiKey: process.env.NOLAND_KEY }); const call = await bot.getTradingCall(); console.log(call); From source (dev) bash Copy code git clone https://github.com/your-username/NolandAI.git cd NolandAI npm install # frontend/sdk pip install -r requirements.txt # if running python FastAPI backend 🧩 Repository layout (recommended) pgsql Copy code NolandAI/ ├─ package.json ├─ index.js ├─ index.d.ts ├─ README.md ├─ LICENSE ├─ CHANGELOG.md ├─ CONTRIBUTING.md ├─ .github/ │ └─ workflows/ci.yml ├─ backend/ │ ├─ requirements.txt │ └─ main.py # FastAPI app (endpoints: /trading-call, /market-data/:token) ├─ frontend/ │ └─ (Next.js app) └─ examples/ └─ demo.js ⚙️ Quickstart — Local dev (SDK + demo backend) Start FastAPI backend (example):
bash Copy code
uvicorn main:app –reload –port 8000 Test SDK locally:
bash Copy code
node examples/demo.js 📚 API (SDK) new NolandAI(config?: { apiKey?: string; baseUrl?: string })
getTradingCall() → { token, action, confidence, reason }
getMarketData(tokenAddress: string) → market JSON from backend
🧪 Example examples/demo.js (see examples/demo.js file in repo — quick show of getTradingCall + getMarketData)
📦 Publish & Releases We publish releases using semantic version tags (vMAJOR.MINOR.PATCH) and CI that validates tests and publishes to npm on tag push. See .github/workflows/ci.yml.
Official release example:
v1.0.0 — Captain’s Log (2025-09-20)
Initial public release.
npm package nolandai published.
FastAPI endpoints /trading-call, /market-data/:token live.
Hugging Face model integration.
🏛️ Contributing See CONTRIBUTING.md. Pull requests welcome — use branches, add tests, sign commits.
⚖️ License MIT © 2025 AuroraRift
Maintainers AuroraRift Team — team@aurorarift.io
Changelog See CHANGELOG.md for full release history.
pgsql Copy code
Below are the key files. Put them where indicated.
package.json (repo root)”`json { “name”: “nolandai”, “version”: “1.0.0”, “description”: “NolandAI - An AI-powered Solana trading agent for market intelligence, social scraping, and automated trading calls.”, “main”: “index.js”, “types”: “index.d.ts”, “type”: “module”, “scripts”: { “build”: “tsc”, “test”: “node test.js || echo \“no tests\”“, “lint”: “eslint .” }, “repository”: { “type”: “git”, “url”: “https://github.com/your-username/NolandAI.git” }, “keywords”: [ “AI”, “trading”, “Solana”, “crypto”, “blockchain”, “LLM”, “bot”, “Dexscreener”, “NolandAI”, “AuroraRift” ], “author”: “AuroraRift Team team@aurorarift.io”, “license”: “MIT”, “bugs”: { “url”: “https://github.com/your-username/NolandAI/issues” }, “homepage”: “https://huggingface.co/your-username/NolandAI”, “engines”: { “node”: “>=18” }, “dependencies”: { “axios”: “^1.7.0”, “dotenv”: “^16.3.1” }, “devDependencies”: { “eslint”: “^8.56.0”, “typescript”: “^5.4.0” } } index.js (repo root) js Copy code import axios from “axios”; import dotenv from “dotenv”;
dotenv.config();
export class NolandAI { constructor(config = {}) { this.apiKey = config.apiKey || process.env.NOLAND_KEY || “”; this.baseUrl = config.baseUrl || “http://localhost:8000”; // FastAPI default }
async getTradingCall() {
    const res = await axios.get(${this.baseUrl}/trading-call, {
      headers: this.apiKey ? { Authorization: Bearer ${this.apiKey} } : {}
    });
    return res.data;
  }
async getMarketData(tokenAddress) {
    const res = await axios.get(${this.baseUrl}/market-data/${tokenAddress});
    return res.data;
  }
}
export default NolandAI; Commit directly to the main branch Open as a pull request to the main branch Commit changes Upload images, audio, and videos by dragging in the text input, pasting, or clicking here. Chat
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