Solexys

A Research Agent Powered by LYS Labs data

Solexys is a real-time, AI-powered trading agent built entirely on top of LYS Labs' infrastructure. It is a demonstration of what is possible using LYS Labs enriched data.

Where LYS Labs delivers structured, institutional-grade blockchain data via APIs, Solexys uses that same data layer to create a user-friendly product for on-chain retail users - degens, researchers, and power traders. Think of it as a frontend research agent designed to explore and interact with the blockchain at speed.

If you're curious what can be built using LYS data, give Solexys a spin:

• 🌐 solexys.ai - Main product site

• 📘 docs.solexys.ai - Technical documentation

What is Solexys?

• Solexys serves as a proof-of-concept for what can be built using LYS Labs data:

  • Built on top of LYS real-time pipelines (4ms Solana latency)

  • Powered by decoders and aggregation engines developed by LYS Labs

  • Enriched by knowledge graphs and RAG-ready contextual layers

  • Delivered to users through an intuitive, human-facing UI

If you're an infra team, bot builder, or trading firm - Solexys is not your tool. But it shows what kind of product you could build using the same data primitives provided by LYS Labs.

How it uses LYS Labs data

Solexys interacts directly with the following components of the LYS Labs stack:

✓ Scrapers            → Raw Solana block ingestion
✓ Decoders            → Real-time instruction parsing (swaps, transfers, LP adds)
✓ Aggregators         → Volume spikes, ATH tracking, rug detection
✓ Knowledge Graph     → OG-RAG powered context delivery
✓ Real-Time APIs      → Streams of enriched token activity
✓ Historical APIs     → Token price, volume, wallet PnL backtesting

These same primitives are available through the LYS Sandbox, allowing you to build your own systems, bots, or products on top of the data layer.

How to think about it

Platform	Audience	Purpose
LYS Labs	Quants, traders, infra teams	Deliver high-speed, AI-ready blockchain data
Solexys	Retail, degens	Interact with that data via a research agent