Stocks and finance don't need to be this complicated.
Prototype finance-native agent workflows with server-verified quote context and evidence-oriented SEC research. Start with the free developer trial, then bring a measured result to your team.
Designed to Amplify Analysts, Not Replace Them
StockUp Quan helps analysts structure filing evidence, surface footnotes, and separate source facts from model interpretation. Material conclusions still require source review.
More Integration Work
A generic endpoint leaves market verification, finance prompts, citations, evaluations, and spend controls to the application team.
Finance-Native Workflow
Quan combines finance-oriented reasoning with optional market context and evidence-focused filing research in one API surface.
Audit Live Corporate Financial Data
Play with real stock projections, risk radars, and forensic filing audits generated dynamically by the StockUp API. This is the exact visualization engine developers can drop into client applications.
Bring StockUp to Your Team
Prototyped a useful workflow in the sandbox? Bring the saved prompt, evidence, latency, and cost to your team. Enterprise adds organization API keys, usage statistics, and governed access controls.
Advocate to Leadership
Decision-makers value efficiency, reliability, and security. We've compiled professional pitches you can copy instantly to Slack, Teams, or Email to start the conversation in your office.
Schedule a Joint Walkthrough
Want our engineers to demo the capabilities of StockUp to your team? Fill out your corporate email and we will arrange a session together.
Frequently Asked Questions
Common questions from advocates and developers deploying StockUp inside organizational environments.
How does StockUp reduce unsupported model output?
Quan can add market context and evidence-focused filing research to a finance workflow, and its structured responses make source review easier. No model is error-free, so material facts and conclusions should still be checked against primary sources.
Is corporate data secure during queries?
Yes. Enterprise models support zero-retention parameters, meaning prompts and inputs are evaluated live and immediately discarded rather than stored for training. We support custom data compliance evaluations during procurement review.
Can developers test the API for free?
Yes. Sign up through the Developer API portal for 100,000 free Quan 3.4 L tokens to build scripts, research tools, or agent prototypes without a credit card.
How does the pricing scale for teams?
Enterprise packages are extremely flexible, starting at $499/mo for small departments up to custom high-volume pools. Shared token quotas prevent billing surprises, and administrative dashboards allow you to provision and restrict developer keys on a per-user basis.
