Encypher vs ProRata
ProRata estimates which sources shaped an AI answer and shares revenue, inside AI systems that opted in. Encypher signs a record into your content before any AI system sees it. One is an estimate at the end. The other is provenanceContent provenance: The record of where a piece of content came from and how it changed, carried with the content itself. at the start.

Side by side
| ProRata | Encypher | |
|---|---|---|
| Where it works | Inside AI systems that joined | In the content, in copies that keep the mark (limits) |
| When | When an answer is generated | When the work is published |
| What it gives | An estimate of each source's share | A signed record of who signed what, and when |
| Needs the AI company to take part | Yes | No |
| Brings in revenue | Yes, shared by estimated share | No. It carries proof and terms |
When to use each
- ProRata
- To earn a share of revenue from AI systems that have opted in.
- Encypher
- To carry a signed record and terms in your work, in copies that keep the mark.
- Both
- Revenue where AI companies take part, and a record everywhere else.
What ProRata does well

- Pay by share
- Sources that shaped more of an answer earn more.
- Handles the math
- It attributes contributions to AI answers and supports revenue sharing.
Where attribution cannot reach
An estimate needs access to the AI system as it answers. It has no view into systems that never joined, or into models trained before they did. An estimate can also be disputed. A signed record shows who signed the work and when, in any copy that keeps the mark.
Create. Mark. Endure.
Sign your work free, before any AI system decides to take part.