Pricing
Team Data License
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For one team, desk or pod
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Full history, with ongoing updates
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By API, MCP or the Tesseract portal, or as files
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Priced per dataset and per use
What is the difference between the team licence and the enterprise licence?
A team licence covers one team, desk or pod. An enterprise licence covers firm-wide use, internal or with redistribution. Ask us for a quote.
Can I test the data before I sign a licence?
Yes. Request sample data through our contact form.
Frequently Asked Questions
Still have questions about licences, sample data or delivery? Book a call with our research team.
How It Works
Our datasets come with the research behind them, so you can judge them before you test them.
Start with a white paper, request sample data through our contact form, then connect the data to your stack.
Our research team supports the evaluation and answers questions on coverage, history and delivery.
1. Read the research
Our datasets are backed by research we publish: how much institutional flow moves the S&P 500, how far ahead it anticipates 13F filings, how futures flow tracks the weekly CFTC report and how our CPI forecasts compare with consensus. Each paper has a short summary on our blog, where you can request the full white paper.
2. Test it on sample data
Request sample data through our contact form for the datasets you want to evaluate, and tell us what you plan to backtest. Our research team helps you set up the test, and can walk you through the data live on your own tickers, sectors and sessions, so you see what it shows before you license it.
3. Plug it into your stack
Flow, factor and macro datasets come through one delivery layer: pipelines call our Unifier REST API, AI agents use the MCP service, and discretionary desks explore flow and forecasts in the Tesseract portal without writing code. Depending on the dataset, data arrives in real time, 15 minutes delayed or at end of day.
4. Backtest point-in-time
Flow history is point-in-time and never revised: each record carries the moment it would have reached a live feed, so a backtest sees only what was knowable then. Our papers study these same datasets, and we tell you each dataset's known limits before you test it.
