Persistent AI conversations
DINAV maintains research conversations through its Core API and configured OpenAI-compatible model endpoint.
DINAV is Alpha Stochastic Research’s flagship quantitative-finance terminal for governed AI research, market intelligence, point-in-time analysis and deterministic finance computation. Its production backend combines persistent AI conversations, file-assisted research, market/news/event access, point-in-time replay, scholarly metadata search, portfolio context, signed artifacts and bounded deterministic finance calculations.
These capabilities are taken from the production DINAV repository and architecture. The page does not substitute mock features when a service or provider is unavailable.
DINAV maintains research conversations through its Core API and configured OpenAI-compatible model endpoint.
Uploaded research material can be used as context inside the governed AI research workflow.
The Core API queries DINAV market intelligence stored in Supabase and news ingested from approved providers.
Availability time is preserved separately from publication or observation time so historical replay can filter on what was actually available.
DINAV connects scholarly metadata workflows to arXiv and Crossref rather than fabricating papers or identifiers.
Portfolio context is part of the production Core API capability set for research and analysis.
DINAV can register signed artifacts backed by private storage and its artifact registry.
DINAV Compute exposes bounded finance calculations. Arbitrary public Python execution remains disabled unless a separately isolated runtime is configured.
Identity, usage and product access are governed through Supabase Auth, row-level security and DINAV entitlement logic.
DINAV separates AI orchestration, ingestion, deterministic computation and the data authority. This keeps provider secrets and privileged infrastructure outside the browser.
Read architecture →Authentication, entitlements, AI orchestration, conversations, files, market intelligence, scholarly metadata, portfolio context and artifacts.
Governed ingestion of approved providers into the point-in-time news store.
Constrained deterministic finance operations with no arbitrary public Python shell.
Source of truth for identity, entitlements, usage, workspaces and DINAV market intelligence.
DINAV’s repository defines explicit boundaries for market data, papers, model state, computed results and secrets.
DINAV does not fabricate prices, headlines, provider status, papers, identifiers, model state or computed results. Missing feeds remain explicit no-data or configuration states.
Provider secrets, model-provider keys, Supabase service-role keys and compute-worker tokens are not sent to the browser.
Open the DINAV platform directly from ASR Products.