Sharpe

Sharpe is an AI research agent for quantitative finance. It explores large datasets, applies statistical methods and produces publication ready Jupyter notebooks with cited data and reproducible code. A user asks a question in plain language, such as comparing closing line value across sportsbooks, and the agent carries out the multi step analysis, from universe construction and returns through covariance, optimization, risk attribution and performance. Included data covers one minute equities with a three year history, one minute equity options with a one year history, congressional trades and SEC filings including earnings, insider transactions and corporate actions, with more than 1.2 billion rows available. Work runs in hosted sandboxes or through a local Jupyter tunnel. The vendor says it was built by former engineers from Jane Street, IMC and Palantir and is backed by Y Combinator. It is aimed at quants, researchers and trading teams. Usage is measured in credits, which scale with the model used, context length and number of tool calls. Light queries use roughly 10 to 50 credits and full research sessions roughly 200 to 1,000. Pro costs $50 per month, or $42 per month billed annually, with 5,000 credits and full agent access. Team costs $200 per month, or $167 billed annually, with 25,000 credits, collaborative workspaces and up to five members. Enterprise is custom priced and adds SSO, SAML, on premises or dedicated hosting and custom model routing. A free tier with credits is also offered.