TypeScript SDK

Flexo SDK is a developer-friendly toolkit that enables applications to integrate real-time blockchain analytics and AI-powered automation. It provides fast, secure API calls for interacting with Solana’s on-chain data.

Key Features of Flexo SDK

AI-powered blockchain analytics – Integrate token scoring, risk assessment, and liquidity tracking into any application.

Seamless application integration – Supports JavaScript, TypeScript, and other frameworks.

Efficient blockchain queries – Fetches on-chain Solana data without relying on centralized services.

How It Works

1. Install the SDK – Developers integrate Flexo into their project using npm or yarn.

2. Use Flexo API calls – Fetch real-time blockchain data and AI-driven insights with simple functions.

3. Build AI-driven applications – Automate token analysis, trading strategies, and risk monitoring.

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1. Installation

npm install flexo-sdk
# or
yarn add flexo-sdk

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2. Quick Start

import FlexoClient from 'flexo-sdk';

// Initialize the client
const client = new FlexoClient();

// Analyze a token
const analysis = await client.getToken('token-address');
console.log(`Token Score: ${analysis.data.score}`);

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3. Token Analysis Example

import FlexoClient from 'flexo-sdk';

async function analyzeToken(address: string) {
  const client = new FlexoClient();
  const analysis = await client.getToken(address);

  console.log(`
  Token Analysis:
  ------------------------
  Name: ${analysis.data.tokenName}
  Score: ${analysis.data.score}/100
  Market Cap: $${analysis.data.marketCap}
  Risk Level: ${analysis.data.score < 50 ? 'High' : 'Low'}
  LP Burned: ${analysis.data.auditRisk.lpBurned ? 'Yes' : 'No'}
  `);
}

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4. AI Agent Interaction

Flexo SDK also supports AI-powered agent interactions for deeper risk assessment.

import { FlexoClient, ChatMessage } from 'flexo-sdk';

async function chatWithAgent() {
  const client = new FlexoClient();
  const messages: ChatMessage[] = [
    { role: 'user', content: 'Analyze the risk factors for token ABC' }
  ];

  const response = await client.chat('agent-id', messages);
  console.log('AI Analysis:', response.data.response);
}

chatWithAgent();

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