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

Off-Chain Intelligence

PreviousOn-Chain IntelligenceNextMixers & Bridge Tracking

Last updated 5 days ago

Equinox AI integrates public off-chain activity into its intelligence system to expose behavioural connections between users, wallets, and ecosystems. By tracking open data across platforms such as Telegram and X (Twitter), Equinox builds structured identity layers that map influence, engagement, and coordination to on-chain movement.

Data Coverage Overview

Platform
Data Captured

Telegram

Past/current usernames, admin roles, join/leave cycles, mutual group presence, time-based interaction logs, post frequency, known alias clusters

X (Twitter)

Username history, tweet/post history, deletion tracking, engagement trends, call-to-action vs. token movement, follower engagement mapping

Functional Capabilities

  • Identity Layering: Equinox uses a correlation engine to map user handles across time and platforms. This includes alias switching, shared message timing, and repeat pattern detection.

  • Engagement Analytics: Post frequency, reaction types, and community response rates are logged and mapped across known actors. This allows downstream analysis of how narratives form and evolve.

  • Group Behaviour: Telegram group histories are linked to wallet clusters to understand shared presence, early signals, coordinated campaigns, or insider cycles.

  • Sentiment Patterns: Posts on X are time-linked to token events. Spikes in engagement are matched against bridge, mixer, or contract usage.

  • Call-to-Wallet Tracing: KOL or project messages are run through correlation checks to detect if the poster or their known cluster of wallets transacted around the time of the call.

Visual Mapping: Behaviour-to-Wallet Flow (Text Format)

[Telegram Handle: @name1] ───┐
                            │
[Telegram Group: AlphaDAO] ─┼─> [Wallet Cluster A] ⇄ [Token Interaction]
                            │
[X Handle: @user_xyz]     ──┘
                            ↓
            Behavioural Timeline Match + Contract Event Timestamp

This process is continuous. New social activity is automatically evaluated for proximity and correlation to known wallet actions. If alignment exceeds internal thresholds, new entries are added to the behavioural graph.

Privacy & Data Boundaries

Equinox AI only uses publicly accessible data. No private messages, locked groups, or gated APIs are used. All tracking is timestamped and traceable.

Users who do not wish to be mapped can burn $ENOX to permanently disable correlation matching for any of their identities.

Off-chain intelligence is not secondary to on-chain. It is a required component for anyone trying to understand real coordination, influence, and behavioural depth.