Frame
State the research question, instruments, time horizon, and assumptions before reviewing evidence.
Current production use case
Evidence-led market research workflow
AetherQuant keeps a market question, approved data context, evidence references, and research notes together in an account-scoped workspace.
Who it is for
Research teams, analysts, and builders who need a reviewable market-research record before making a separate decision.
Workflow
Record
Keep approved market-data context, evidence references, and research notes in the same account-scoped workspace.
Review
Treat outputs as research context. A person validates data quality and makes every investment or trading decision separately.
Boundaries
What the product deliberately does not do
- No investment advice or automatic trading
- No promise that a historical relationship persists
- No model, IDE, or general-purpose AI product
Account scope
One customer, one workspace boundary
Authentication, entitlements, usage, API keys, saved artifacts, and billing state are verified server-side. Product keys are revocable and work only for their own product account.
Agent access
MCP without browser credentials
The customer-installed MCP bridge reads a product key from its local process environment and exposes only the documented account-scoped workflow.
Questions
Does AetherQuant make trades?
No. It organizes market-research context; it does not place orders or make investment decisions.
Are public examples live signals?
No. Only authenticated API and workspace responses describe account-specific data and access.
Can an agent use it?
Yes, through the documented account-scoped API and customer-installed MCP bridge with a revocable product key.