Determine which obligations reach a deployment
lunara_applicabilityRuns Lunara's published applicability model against a description of an AI deployment and returns which obligations reach it, which do not, and why. Answer only what you actually know — every input accepts "unsure", and an unsure is never resolved in the direction that manufactures an obligation. The model can and does conclude that nothing binds the asker.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| eu_exposure | No | Does anyone in the EU use it, or its output? The Act binds on output, not on where you are incorporated. | |
| generates_content | No | Does it produce text, images, audio or video? | |
| california_exposure | No | Is it available to people in California? | |
| interacts_with_people | No | Does the system exchange words with a person? | |
| monthly_users_over_1m | No | More than one million monthly users? This threshold decides the California Act entirely. | |
| on_market_before_art50 | No | Was it placed on the market before 2 August 2026? | |
| hosts_or_distributes_models | No | Do you host third-party generative models or distribute their output at scale? | |
| generates_images_audio_or_video | No | Does it produce images, audio or video, as opposed to only text? Decides whether the prohibition applying from 2 December 2026 can reach it at all. |