ARGUS

SURVEILLANCE SYSTEM

INITIALIZING SURVEILLANCE...0%

Documentation

Protocol_v0.1.0_Stable

"Markets are never wrong, but the actors within them often are."

Autonomous Surveillance Protocol for Prediction Markets

01

The Mission (Manifesto)

Prediction markets were designed to be the ultimate truth machine. But in their current state, they are opaque battlegrounds where insiders execute trades with impunity.

Systemic Failures Injected:

  • /01

    Information Asymmetry

    Insiders trade on news hours before it breaks.

  • /02

    Zero Oversight

    Unlike traditional finance (TradFi), there is no SEC, no circuit breakers, and no surveillance.

  • /03

    The Invisible Hand

    Millions of dollars are siphoned by wallets with statistical improbability of success.

ArgusEye is the answer to this opacity. It is not just an analytics tool; it is an autonomous surveillance agent. By combining high-frequency on-chain data ingestion with LLM-driven heuristic analysis (Claude via AWS Bedrock), ArgusEye detects anomalies that rigid algorithms miss.

Providing the public with forensic insight previously reserved for centralized exchanges and regulators.

02

Core Capabilities

ArgusEye operates on a "Detect-Verify-Expose" loop.

01. Pattern Recognition

Unlike traditional bots, ArgusEye uses a probabilistic approach to identify anomalies.

  • Statistical Improbability: Accounts with win rates >90% on high-variance events.
  • Insider Timing: Positions opened immediately preceding news leaks.
  • Network Clustering: (Coming Soon) Coordinated wallet rings.

02. Semantic Analysis

We utilize Anthropic's Claude via AWS Bedrock to contextualize raw market data.

Market_Data_Input:

Wallet 0x31... bet $32k on "Yes" for Venezuela.

Narrative_Context:

No history in LatAm. Account funded 1hr ago.

AI_VERDICT:HIGH_CONFIDENCE_INSIDER

Real-Time Transparency

Live Dashboard

A terminal-grade interface for monitoring active markets and live transaction flows with sub-second latency.

Social Signal

Automated reporting of suspicious activity directly to X (Twitter) and Telegram feeds via autonomous agent hooks.

03

System Architecture

The ArgusEye architecture is built for low-latency state synchronization and high-throughput inference. We reject the traditional polling model in favor of a reactive, push-based architecture powered by Convex.

Polymarket
CLOB

The Core
Convex
Reactive State Engine
AI

Claude 3.5
Inference

System_Sync: 0.2msStream: ActiveInference_Load: 12%

3.1 Data Ingestion Layer

STATUS: ACTIVE

Source

Direct connection to Polymarket’s CLOB (Central Limit Order Book) via Gamma API.

Normalization

Raw transactional data is sanitized and normalized into a chain-agnostic schema for multi-chain expansion.

3.2 The Reactive Core (Convex)

STATUS: LOW_LATENCY

ACID Compliance

Ensures that every bet recorded is atomic and immutable, maintaining global state consistency.

Real-time Subscriptions

WebSocket connections push suspicious bets to clients immediately upon indexing.

3.3 The Inference Engine (AWS Bedrock + Claude)

STATUS: HIGH_THROUGHPUT

Orchestration

AWS Bedrock manages LLM throughput and context windows securely.

Reasoning

Claude 3.5 Sonnet analyzes complex textual and numerical context.

Vectorization

(Roadmap) RAG against known fraud cases.

04

Detection Methodology

ArgusEye does not rely on rigid "hardcoded" rules. Rules are brittle; insiders adapt. Instead, we utilize a Multi-Factor Scoring System that assigns a RISK_SCORE (0-100) to every active trader.

4.1 The Triad of Suspicion

I.
Statistical Improbability (The "Luck" Factor)

"Luck is a statistical anomaly. Consistent luck is a crime."

Metric

Win_Rate_Z_Score

Analysis

If a user consistently wins on binary events with <20% probability, the system flags the variance.

II.
Timing Correlation (The "Clock" Factor)

Metric

Delta_To_News_Event

Analysis

Detects positions opened within the "Dark Window" — hours before a major resolution event becomes public knowledge.

III.
Wallet Hygiene (The "Identity" Factor)

Metrics

  • • Account_Age
  • • Funding_Source

Analysis

Flags fresh wallets (<72h), single-market focus, and (Soon) Tornado Cash funding trails.

4.2 Risk Classifications

LevelScoreActionVisual
CRITICAL90-100Immediate Alert. High confidence.
Blinking Red
HIGH70-89Flagged for manual review.
Solid Orange
MEDIUM50-69Watchlist. Awaiting data.
Dim Yellow
05

Economic Model & Utility

The $ARGUSEYE token is not merely a speculative asset; it is the license key to the surveillance network. We enforce a strictly fair distribution model to prevent the very insider manipulation we aim to expose.

5.1 Supply Dynamics

Operated on Solana via Pump.fun bonding curve mechanism to ensure mathematical fairness.

Total Supply:1,000,000,000
Liquidity Policy:100% BURN
Public Launch99-100%

5.2 Token Utility

Level 0: Observer (0 $ARGUSEYE)

Basic anomalies (delayed), Public "Case Files".

Level 1: Analyst (Hold 0.5%)SOON

Unblur Addresses, Zero-latency Real-Time Dashboard.

Level 2: Sovereign (Hold 1.5%)SOON

API Access, Governance on monitor targets.

06

Operation Roadmap

PHASE ICOMPLETED

Protocol Genesis

  • • Next.js & Convex infrastructure
  • • Claude AI fine-tuning
  • • Polymarket API integration
PHASE IICOMPLETED

Signal Calibration

  • • "War Room" on X/Telegram
  • • Visual Identity & Branding
  • • Private Beta Testing
PHASE IIIACTIVE_Q1_2026

The Broadcast

  • • Pump.fun Fair Launch
  • • Raydium LP Destruction
  • • Token-Gating Activation
PHASE IVPOST_RAYDIUM

Network Expansion

  • • Multi-Market Support
  • • Automated Sentry Bot
  • • Institutional API Release

[END_OF_PROTOCOL] • System status: OPTIMIZED • Calibration: 100%

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