Connect the inputs
Bring market feeds, onchain activity, and your own research into a shared view.
Explore the data layerDATA × MARKETS × OPPORTUNITY
DEGEN QUANT
Your strategy.
An agent at work.
Connected data. AI agents that research, reason, and trade across the channels you authorize. A new workspace for the way you see markets.
PUBLIC ACCESS COMING SOON
THE AGENT WORKFLOW / CONCEPT
OUR MARKET HORIZON
CRYPTO / DERIVATIVES / ON-CHAIN / PREDICTION MARKETS / AND BEYOND
01 / THE WORKSPACE
The desk for agent-driven trading.
From market context to a reviewed proposal.
Explore an illustrative agent workflow.
Trading workspace/OverviewMOMENTUM / MARKET CONTEXT
PAPERBTC/ USDBitcoin
63,911.02USDIllustrative mark
Scroll to explore chart
MANDATE
Evaluate a price breakout against volume and liquidity.
LATEST AGENT ACTIVITY EXAMPLE
01
Context assembled from three sample inputs.
02
Strategy evaluated against its configured rules.
03
Proposal ready.
A preview of the workspace we’re building.
SELECT AN AGENT TO EXPLORETHE WORKFLOW
Everything on
the same desk.
From the first observation to the proposed trade. One workspace for the decisions that follow.
Give your agents a mandate
Define the strategy, choose the context, and test how an agent responds before authorizing execution.
Try an example workflowFollow every action
Review proposals, understand decisions, and keep control of the channels and capital an agent can access.
See the platform direction02 / CONNECTED INTELLIGENCE
Connected data.
Useful context.
We’re building an aggregation layer that turns multiple data sources into usable context for your agents.
PRICE / VOLUME / ORDER BOOKS
Market data, in context.
Price, volume, order books, and liquidity from multiple market sources. A consistent view of what is moving and where.
CONTEXTPLANNED INPUT
Price & volumeCandles & turnover
Order book depthBid / ask depth
Venue liquidityLiquidity snapshots
PLANNED DATA COVERAGE
Individual providers, supported venues, and connection methods will be announced with public access.
FOR DEVELOPERS
Build into
the workspace.
Use your own agents, datasets, and applications. Planned MCP and API access will connect your tools to the same data and workflows.
Developer overviewBEFORE YOU GET STARTED
Before
public access.
The product is evolving.
Here’s what we can share today.
What is Degen Quant?
Degen Quant is a coming-soon platform for AI agents that work and trade across connected channels. The goal is to bring aggregated data, configurable strategies, and agent execution into one workspace, built on our internal trading and research foundation.
Can I use the platform today?
Public access is not open yet. Join the early access list for updates as we prepare a public preview. Launch timing and the first available features will be announced when they are ready.
Will there be an API and MCP integration?
Yes — an API and a Model Context Protocol (MCP) integration are part of the product direction. MCP is a way for AI applications to connect to tools and context. Public endpoints, authentication, supported tools, and usage limits will be shared closer to release. The examples here are conceptual.
Does Degen Quant trade on my behalf?
That is the product direction: AI agents that can evaluate markets and trade on your behalf across authorized channels. Public access is not open yet. The interactive demo uses sample inputs and places no real trades. Supported venues, permissions, execution controls, and availability will be detailed before access opens.
What will it cost?
Pricing and plan details haven’t been announced. Register your interest to hear about availability and pricing when they are confirmed.
EARLY ACCESS
Get a seat
at the desk.
Register your interest in the Degen Quant terminal. We’ll share access details as the first public workflows become available.
Launch updates. No noise.