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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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On this page
  • What It Does
  • Key Data Points
  • Reputation Scoring
  • Example Response
  • Token History View
  • Cloning & Pattern Matching
  • Alerts & Automation
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Contract Creator Profiler

Every token starts with a creator — and that creator often tells you everything you need to know about what comes next. The Contract Creator Profiler module in Forge tracks every new token deployer on Solana and builds a behavioral history for them, so you can instantly see if a wallet is trustworthy, repeat-rugging, or playing smart.

This module powers deployer reputation scoring and is one of the most important signals used across all of Forge’s agents.


What It Does

The Contract Creator Profiler monitors:

  • Wallets that deploy new SPL tokens

  • Previous token launches from the same wallet

  • Deployment frequency and time gaps

  • LP setup and rug rate across deployments

  • Use of social metadata, ownership renounce, LP burn

  • Cross-token buy/sell behavior from the deployer wallet

It creates a live profile for every creator wallet Forge sees.


Key Data Points

Each deployer is tracked with the following fields:

  • Total Tokens Deployed

  • Time Since Last Deploy

  • Rug Count – tokens where LP was removed or price dropped >95%

  • Success Rate – tokens that hit a volume or market cap milestone

  • LP Behavior – burned, unlocked, locked status across launches

  • Metadata Usage – how often they inject socials, fake audits, etc.

  • Deployment Timing – clustered or spaced out

You can ask Forge:

“Who deployed $GRIT?” “What else has this wallet launched?” “How often does this dev rug?”


Reputation Scoring

Forge assigns each contract creator a Reputation Score from 1 to 10:

  • 1–3: High-risk, repeat rug deployer

  • 4–6: Mixed history, likely opportunistic

  • 7–8: Solid pattern, careful LP and lock behavior

  • 9–10: Consistently safe launches, strong volume, burned LP

This score appears in responses and helps shape agent output.


Example Response

You ask:

“Is the $GRIT deployer safe?”

Forge responds:

“Wallet 7AuCty3w... deployed $GRIT 2 mins ago. This is their 5th token in 3 days. LP unlocked in all previous launches. 3 of those tokens dropped over 90% within 10 minutes. Reputation score: 2/10. High risk pattern: serial rug behavior.”


Token History View

You can view a deployer’s full launch history in timeline format:

bashCopyEditDeployer: 7AuCty3w...

- $BARK (Apr 22) – 10 SOL LP, unlocked, rugged
- $PLUMP (Apr 23) – 18 SOL LP, burned, died at 8k vol
- $ZYNX (Apr 23) – 5 SOL LP, rugged after 3 min
- $SPIN (Apr 24) – 20 SOL LP, locked, hit 40k vol

Forge auto-tags each with outcome (rug, low vol, success).


Cloning & Pattern Matching

The profiler can also detect wallets that copy known deployer behavior, such as:

  • Same deploy + renounce + LP sequence

  • Matching liquidity ratios

  • Same contract bytecode or token metadata structure

This helps catch copycats or burner wallets trying to hide identity.


Alerts & Automation

For advanced users:

  • Set alerts when a known rug deployer launches again

  • Flag deployers over X launches within Y hours

  • Trigger auto-replies like: “Warning: Deployer has rugged before”

  • Feed deployer history into sniper filters

Useful for launchpad teams, Telegram groups, and sniper farms avoiding known traps.

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Last updated 12 days ago