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. Architecture & Technology

Data Infrastructure & Indexing

PreviousBehavioural Pattern DetectionNext$ENOX Utility

Last updated 5 days ago

Equinox AI relies on a high-throughput indexing framework to unify and synchronise diverse data sources, both on-chain and off-chain. Each activity—from a swap on Uniswap to a Telegram message—is indexed with temporal precision and behavioural context.

Core Infrastructure Design

[Node Layer] → [Scraper Layer] → [Index Layer] → [Relational + Graph DBs] → [Serve Layer]

Indexing Strategy

• On-Chain Indexing: Real-time data pulled via WebSocket, JSON-RPC, and archive nodes. Tracked: token transfers, contract calls, bridge events, mixer interactions.

• Off-Chain Indexing: Rate-limited scrapers collect Telegram chat logs, pinned messages, X post metadata, usernames, and profile history. Snapshots stored at regular intervals.

• Timestamp Normalisation: All events are time-anchored using UTC+0 standard and stored in event trees for sequence querying.

Storage Format

{
  "wallet": "0xabc...def",
  "event": "swap",
  "platform": "uniswap",
  "token_in": "ETH",
  "token_out": "USDC",
  "amount": "3.2",
  "timestamp": "2025-06-15T16:45:23Z",
  "linked_social": "@example"
}

Database Schema Types

Type
Purpose

SQL Tables

Transaction indexing, swap history

Graph DBs

Wallet ↔ Social ↔ Token mapping

Logs (S3)

Scraper archives, flagged activity logs

KV Stores

Realtime aliases, recent calls cache

Performance Benchmarks (Internal)

  • Indexed over 1.2B on-chain events across 4 EVM chains.

  • Normalised >12M Telegram messages.

  • 400ms average query response time on wallet timeline lookups.

  • 100K+ behavioural fingerprints stored in graph structure.

Our indexing model allows queries like:

SELECT * FROM wallet_activity
WHERE wallet = '0x123...def'
AND timestamp BETWEEN '2025-06-01' AND '2025-06-07';

Or:

{
  "query": "Find all wallets who joined same 3 Telegram groups as @example and made >$1k swaps after X post"
}

Equinox AI turns raw behavioural data into structured knowledge—pipelined, queryable, and scalable for DeFi, security, and market intelligence use cases.