At viaNexus, we believe data should flow—securely, clearly, and with the right permissions in place. That starts with a licensing model built for how modern platforms actually operate.

Our approach is to simplify licensing wherever we can—while maintaining the trust of our data partners. That means fewer legal gymnastics, more transparency, and a commitment to using telemetry and smart monitoring to detect and prevent abuse. We trust—but verify.

Licensing models across the industry generally fall into two broad categories: commercial and non-commercial (aka for professional or non-professional). We prefer the former because its less ambiguous - what about the professional trader who trades after their day job is over - or wants to dabble and build some cool stuff to trade their PA - or to build an app in their spare time. viaNexus would consider that personal a Professional - but the use case is clearly non-commercial!

Commercial Use: Built for Platforms, Institutions, and Builders

In our world, commercial use falls into three categories

1. For Redistribution (Display-Only)
For Fintechs, wealth platforms, and online brokers, licensing often involves displaying data to external users — typically retail clients / investors. This is sometimes referred to as redistribution or B2B2C. As a platform made for Fintechs - we allow clients to redistribute data to end users as long as that data is displayed to those end users. However, while you can present data in your platform, you can’t redistribute it via an API or enable programmatic access for downstream consumption. viaNexus and our partners may also price data sets according to the maximum number of users that the data can be displayed to. These limits aim to be liberal, and are clearly shown in the terms via the console.

2. Internal Use Licenses
The second main category of commercial license is for internal use. This typically applies to institutions like banks, hedge funds, wealth firms/wirehouses or asset managers building internal tools. This license allows data to be displayed to teams within the organization. It’s still subject to user-based limits (which would normally differ to limits for redistribution) and cannot be repackaged, exported, or programmatically shared.

3. Software Builders and B2B Deployments
Some Fintechs build products for other businesses—analytics platforms, advisory tools, or portfolio systems that are deployed to other enterprise workflows. A common model in market data is a "bring you own license" model, also known as co-sell. When one of our customers deploys their solution to a client, we typically expect a license per client at the end of the chain. A customer could purchase that license for their client - but its more typical that the end client subscribes to the corresponding service directly from us. What's cool there is that they can use that same license to do other things with the data - which differs to some data providers that license by "use case".

This co-sell approach ensures transparency, protects data rights, and scales cleanly across customer bases - but also provides flexibility for the end customer.

Non-Commercial Use: Personal, Research, and Academic

Not every use case is commercial. Researchers, academics, and individual investors need access too—and we support that with simple per-person licenses. Whether it’s a student analyzing market trends or a personal investor tracking earnings reports, non-commercial licenses offer a clear and accessible path to quality data.

Our Model: Trust-Based, Tech-Enforced

viaNexus has worked hard to create a licensing framework that is intuitive and enforceable. We take a trust-first approach, simplifying how data can be used—but we also use telemetry, behavior tracking, and other signals to detect when things don’t look right.

That means we don’t rely on legalese and the threat of audit — we rely on smart systems and respectful users.

One Note on Redistribution and Agents

As mentioned earlier: viaNexus does not allow API-based redistribution of data. Display is permitted; programmatic delivery to downstream systems is not.

That said, we do recognize that the future includes AI agents acting on behalf of individuals. These agents, when clearly tied to a licensed user (or their firm), are treated as digital extensions of that user. It’s a small but important exception—built with an eye to what’s coming next.

Let us know what we can do to challenge the status quo, make life easier and fairer.