PSDLA

The Portex Standard Data License Agreement (PSDLA) is an open source data license framework.

Data licensing has become increasingly important in the age of AI. Whether it's protecting valuable IP or structuring exclusive deals to gain an edge, there is a need for clear and modular data licensing standards for both data owners and acquirers. This is where Portex's Standard Data License Agreement (PSLDA) framework fits in.

Inspired by Creative Commons’ “pick-a-badge” simplicity, PSDLA lets buyers and sellers choose a license that matches their commercial goals without re-drafting a full contract each time. You can view the PSDLA framework on GitHub below.

Why use PSDLA?

  • Purpose-built for data & AI – Clauses cover model-training rights, derivative-model IP, output indemnification, and more.

  • Modular – All versions share a common template covering ethical, practical, and transaction considerations, but feature already-built clauses for common permutations that users can easily select (e.g. exclusive vs. non-exclusive data sales).

  • Human-readable & machine-readable – Each license file ships as Markdown and JSON for easy UI integration and API or MCP access.

  • Versioned – versioning based on SemVer, e.g. v1.0, v1.1, v2.0, to account for improvements.

PSDLA Overview (v1.0)

Code
Exclusivity
Commercial Scope & Output Rights
Extra Limitations / Options
Typical Use-Case

PSDLA-NE “Non-Exclusive”

❌ Seller may re-sell at any time

✔ Unlimited commercial use of internal insights & model outputs; ✔ May deploy models in production

🔸 Standard AI use-case provisions

Datasets that can be sold to many buyers

PSDLA-EX “Exclusive”

✔ Sole buyer for theExclusivity Term; right of first refusal afterwards

✔ Same commercial freedoms as PSDLA-NE

🔸 Standard AI use-case provisions

Buyer pays premium for a head-start in the market

PSDLA-NE-L “Non-Exclusive Limited”

❌ Seller may re-sell at any time under specified limitations

✔ Commercial use, but with limitations imposed by sellers

🔸 Seller specifies limitations to how the data can be used

Seller imposes restrictions on usage based on ethical or commercial framework

PSDLA-EX-L “Exclusive + Field-Limited”

✔ Same exclusivity asPSDLA-EX but under specified limitations

✔ Commercial use, but with limitations imposed by sellers

🔸 Seller specifies limitations to how the data can be usedDuration selecto

Seller grants exclusivity in one vertical while retaining other markets

PSDLA-RS “Revenue-Share”

Specified by the seller

✔ Commercial use allowed,but buyer remits Y % of gross revenue from products trained on the data

🔸 Audit & reporting clause; 🔸 Duration selector

Sellers seeking recurring upside from high-value or niche datasets

Contributing

Pull requests welcome. We want to build the future of the data economy together. Please open an issue first to discuss major changes or new license permutations. When contributing a new version:

  1. Copy an existing license file.

  2. Bump the minor or major version as appropriate (v1.1, v2.0, …).

  3. Update the change-log in the file header.

  4. Submit a PR with a clear description of why the change is required.

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