The quantitative workbench for
prediction market trading.

Sharpe is a Data Science agent, built for time-series and financial analysis. Execute complete studies in Jupyter Notebooks on your data: hosted, on your machine, or on your cloud.

© 2026 Sharpe

Sharpe is a Jupyter-native agent that takes a research request and delivers a completed notebook, ready for you to review and iterate. It connects to your data, plans multi-step analyses, writes and executes code, and iterates until the work is done.

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Purpose-built agent

Designed from the ground up for quantitative analysis — not a chatbot with a code interpreter bolted on.

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Persistent memory

Learns your preferred data sources, analysis patterns, and formatting conventions. No prompt engineering required.

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Connected to your data

Reference Confluence pages, datasets, or notebooks and Sharpe pulls in the relevant context automatically.

Your Agentic Exo-Skeleton.

Sharpe is leverage on your analytical expertise. Purpose built to provide exactly the context you need to maintain methodological rigor and understanding, Sharpe traces results and assumptions deterministically, for provably correct and reproducible studies.

Sharpe remembers how you work

Preferred data sources, analysis patterns, formatting conventions — Sharpe learns from your team's notebooks and applies those patterns to new studies. No prompt engineering required.

These memories are shared across your team with granular permissions, so best practices accrete naturally as people use the tool. New team members get the benefit of institutional knowledge from day one.

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Reference a Confluence page, a Dremio dataset, or another notebook with @ and Sharpe pulls in the relevant context automatically.

Connectors sync incrementally, so the agent always works with current data. The framework is extensible — connect internal tools, wikis, and data catalogs specific to your organization.

Work Anywhere: Jupyter-native, no Bolt-ons.

Sharpe can work autonomously in a hosted environment, or fully integrate with your existing Jupyter setup. Every notebook is a familiar .ipynbfile, that can run locally, or via your organization's JupyterHub.

Understand Sharpe's Every Move.

You can step through Sharpe's execution, see every cell it writes, every data source it reads, every API it calls, logged with timestamps and diffs. You get a complete record of what happened and why. Add approvals to gate sensitive operations based on your environment and your organization's requirements.

Need to keep data on your infrastructure?

Sharpe supports BYOC, and can be deployed into your VPC, using your pre-existing JupyterHub and Data Infrastructure. Offer Sharpe to your team, in place with your existing tools. Nothing leaves your network boundary.

Pricing

Try Sharpe for Free.

Free

$0Trial

Explore Sharpe

  • Hosted Sandbox, or Local Jupyter Tunnel
  • $10 Usage Credits
  • Complete Study Execution
  • Open Standards, Interop with your SWE Agents

Pro

$200/ month

All of Sharpe, in a Hosted Environment.

  • Unlimited notebooks
  • Unlimited AI messages
  • Priority model access
  • Custom connectors
  • Team collaboration

Enterprise

Custom

For Organizations that have Custom Deployment Requirements.

  • SSO & SAML
  • Dedicated infrastructure
  • Custom model routing
  • Priority Support
  • Forward Deployment Available

Built for Performance-Driven Teams

Sharpe is built by a team of engineers and researchers who understand that high performing Data Scientists need a purpose built tool to raise the ceiling on their output. Sharpe understands the full analytical workflow, and is designed to be a force multiplier for your team.