Equinox Ai - Whitepaper
  • Overview
    • Introduction
    • Problem Statement
    • Solution (What is Equinox AI?)
  • Core Features
    • On-Chain Intelligence
    • Off-Chain Intelligence
    • Mixers & Bridge Tracking
    • Social Mapping (Telegram + X)
    • Equinox Protection (Privacy Layer)
  • Architecture & Technology
    • Technical Architecture
    • Behavioural Pattern Detection
    • Data Infrastructure & Indexing
  • Token + Model
    • $ENOX Utility
    • Tokenomics
    • Revenue Model
    • (E-Mask) Opt-Out System
  • Compliance & Vision
    • Roadmap & Vision
    • Security & Privacy Notes
    • Fair Use Disclaimer
  • Data Brokerage & Expansion
    • Whitelabelling & Platform Licensing
    • Data Intelligence Streams
    • Strategic Positioning & Market Outlook
  • Important Links
    • X
    • Whitepaper
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  1. Core Features

Social Mapping (Telegram + X)

PreviousMixers & Bridge TrackingNextEquinox Protection (Privacy Layer)

Last updated 5 days ago

Equinox AI decodes public activity across two of the most behaviourally rich platforms in crypto—Telegram and X. Rather than treat posts and handles as isolated signals, we build a synchronised map of a user’s presence, history, and influence over time.

Key functions include:

• Linking wallet activity to known or pseudonymous online identities • Detecting patterns between group chats, social posts, and asset movement • Flagging coordinated activity that reflects influence or insider behaviour • Monitoring alias changes, deleted posts, and repeated behavioural loops

Structured Identity Extraction

User ID        : @example
Linked Handles : @example_eth (X), @example_tg (Telegram)
Common Activity:
  - Joined: AlphaDAO, DeFiCircle
  - Posted: Token pre-sale call
  - Exit TX: 4 minutes after post

Telegram Layer

• Tracks when users joined or exited public groups • Stores past usernames and group-level admin status • Measures activity bursts (e.g. spike during token mint or dump) • Clusters groups where same users resurface across ecosystems

X (Twitter) Layer

• Follows tweet timing in relation to swaps or bridge usage • Correlates deleted tweets with contract events • Maps large KOL audiences to known trading wallet clusters • Flags repeated narrative push patterns under different handles

Cross-Platform Pattern Detection

We avoid snapshot analysis. Equinox builds ongoing timelines. A Telegram push followed by an X call, followed by a buy/sell → gets logged and scored as a behavioural loop.

Example Mapping: Time-Based Correlation

[Telegram Group Join: T] 
↓
[Launch Tweet: T+3m]
↓
[Swap TX: T+4m] 
↓
[Bridge Out: T+9m] 
⇒ Flags Triggered: Social Coordination Index = 92/100

This model helps:

  • Detect influencer-wallet ties without self-disclosure

  • Flag projects with recycled alias teams

  • Monitor pre-hype/post-hype trader exits

  • Catch wallet patterns matching deleted post cycles

Equinox does not scrape DMs or enter gated content. All data is open-source indexed. If you wish to be excluded, you may burn $ENOX to deactivate mapping on your social ID.

Different platforms, one identity graph.