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  • 📘Introduction
    • What is Forge?
    • Why We Built Forge
  • 🧠How Forge Works
    • Core Architecture
    • Agent System Overview
  • Model Context Protocol (MCP)
  • On-Chain Data Indexing
  • AI Query Handling
  • ⚙️Using Forge
    • Setting Up Forge
    • How to Ask Questions
  • Supported Use Cases
  • Interacting with Agents
  • Limitations and Data Scope
  • 🛠️Advanced Features
    • Agent Personalities and Prompt Logic
  • Creating Custom Agents
  • Integrating External APIs
  • Running Multi-Agent Workflows
  • Token Behavior Tracking
  • Suspicious Wallet Detection
  • 📀Forge Modules
    • Liquidity Pool Scanner
  • LP Burner Tracker
  • Telegram Sniper Detector
  • Contract Creator Profiler
  • Whale Movement Watcher
  • ⚙️Developer Tools
    • Custom Prompt Engineering
  • 📃Appendix
    • Glossary
    • Security and Privacy
    • Roadmap and Vision
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  1. Introduction

Why We Built Forge

A Fragmented Experience

In today’s crypto environment, especially on Solana, most token discovery and trading relies on rapid attention cycles. Users chase launches, monitor charts, follow snipers, and attempt to decode blockchain behavior in real time. But the process to gather this information is scattered across multiple tools and platforms.

To understand even the basics of a token’s health, users often switch between:

  • Birdeye or Dexscreener for price and volume

  • Solscan for transaction logs and holders

  • Pump.fun to verify launch status

  • Twitter or Telegram to track social interest

  • Manually examining wallets and deployers

This creates friction, slows decision-making, and leaves most users relying on speculation or copying others. By the time someone has pieced together all the relevant data, it is usually too late.

The Trader’s Real Needs

What users truly want to know is not just the token price or chart movement. They want answers to specific questions that help them evaluate risk and opportunity. Questions like:

  • Who owns this token?

  • Was it fair, or botted at launch?

  • Is the deployer selling?

  • Are fresh wallets entering or exiting?

  • How much of the supply is locked in suspicious bundlers?

These are not questions a chart can answer. They require interpretation of raw blockchain activity, recognition of behavioral patterns, and access to deeper token metadata.

Why Other Tools Fall Short

Most current tools show raw data but do not explain what it means. For example, you might see 80 percent of a token held by ten wallets, but without context, you cannot tell if it’s malicious or just early supporters. You might see volume spike, but not know whether it came from new holders or old wallets offloading.

There are no tools today that connect these dots automatically and explain the implications like a human would. Even experienced traders spend hours doing this kind of research by hand.

We built Forge to automate and interpret this process, using AI to make blockchain readable and insightful.

Our Core Idea

Forge exists because we believe the blockchain needs a layer of explanation. Something that translates complex wallet interactions, token mechanics, and market behaviors into structured insights that even a beginner can understand.

We are not trying to compete with charting tools. We are building the layer above them — a reasoning interface. Forge does not just pull token data. It reads it, understands it, and replies with clarity. Just like asking a smart analyst for a breakdown.

This is not just about convenience. It is about creating a new way to interface with the blockchain. One that respects the intelligence of its users and makes trading feel more informed, more confident, and more fair.

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Last updated 12 days ago

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