Ai Viral
Freemium
Indie SaaS founders shipping with tools like Lovable or Cursor
Disclarion
PaidAPI
You deployed a chatbot on top of OpenAI, the fines for non-disclosure under the EU AI Act can reach €15M or 3% of global turnover, and your legal team has no idea your product is in scope. Disclarion is the SDK wrapper that handles the three Article 50 obligations — disclosure, labeling, and audit logging — at the code layer before a regulator asks.
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Summary
The core workflow is a few API calls: wrap your existing AI responses with the Disclarion SDK, and it returns metadata flagging whether a disclosure notice is owed, tags generated content as machine-produced, and writes a timestamped, immutable log entry in the same transaction. The SDK ships a reference React/vanilla-JS component for the first-message disclosure modal, so you are not designing the UX from scratch. Audit logs export in one click. The ceiling appears when your compliance needs go beyond Article 50 transparency obligations — Disclarion does not address model documentation, risk classification, or the broader EU AI Act obligations that apply to high-risk AI systems.
Bottom line: The right call for a SaaS team shipping a chatbot that needs Article 50 coverage fast — but the wrong call if your legal exposure extends into high-risk AI classification, where Article 50 compliance is the smallest item on the list.
Find your fit
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Pros
- Disclosure, labeling, and audit logging are handled in a single SDK call rather than three separate systems, so you cannot accidentally ship one without the others.
- Watermarks are baked into image pixels at the point of generation, so the label travels with the file through re-uploads and re-hosts — without this, a re-hosted image loses its compliance label silently.
- Audit logs are immutable, timestamped, and exportable in one click, so when a regulator requests interaction records you are not reconstructing them from application logs after the fact.
- Reference disclosure UI components are included in the SDK, so your frontend team is not designing a compliant first-message modal from scratch against a legal specification.
- API access is available, so teams with existing tooling can route Disclarion's metadata into their own data pipelines rather than treating the dashboard as their only interface.
Cons
- Disclarion covers Article 50 transparency obligations only — if your AI system falls into a high-risk category under the EU AI Act, the additional obligations around risk management, technical documentation, and human oversight are out of scope, and you will need separate legal and technical work regardless of what Disclarion handles.
- There is no self-hosted option, which means interaction logs and disclosure metadata pass through Disclarion's infrastructure. Teams with data residency requirements or strict data processing agreements will hit this wall before they complete a security review.
- The tool is scoped entirely to EU AI Act Article 50. Teams operating under multiple regulatory regimes — GDPR disclosure requirements, US state AI transparency laws, or sector-specific rules — will need to layer additional compliance tooling on top, at which point the 'few lines of code' pitch is only part of the compliance surface they are managing.
About
- Platforms
- Python, n8n, HTTPS API, npm
- API Available
- Yes
- Self-Hosted
- No
- Last Updated
- September 22, 2026
Best For
Who it's for
- SaaS teams without compliance departments
- Agencies running AI tools
- AI agent builders
- Small and mid-size companies
What it does well
- Disclosing AI chatbot interactions to users
- Labeling AI-generated content at source
- Maintaining audit-ready logs for regulators
- Ensuring compliance for AI agents and virtual assistants
Integrations
Frequently Asked Questions
- Is Disclarion free?
- Disclarion is a paid tool. No permanent free tier is offered.
- Does Disclarion have an API?
- Yes. Disclarion exposes a developer API. See the official documentation at https://disclarion.com for details.
- What platforms does Disclarion support?
- Disclarion is available on: Python, n8n, HTTPS API, npm.
The compliance gap in AI chatbots
You deployed a chatbot on top of OpenAI, the fines for non-disclosure under the EU AI Act can reach €15M or 3% of global turnover, and your legal team has no idea your product is in scope.
How Disclarion works
The core workflow is a few API calls: wrap your existing AI responses with the Disclarion SDK, and it returns metadata flagging whether a disclosure notice is owed, tags generated content as machine-produced, and writes a timestamped, immutable log entry in the same transaction. The SDK ships a reference React/vanilla-JS component for the first-message disclosure modal. Audit logs export in one click. Disclarion automates EU AI Act Article 50 compliance with disclosure, labeling, and audit logs for chatbots and AI agents.
Use cases
Disclosing AI chatbot interactions to users. Labeling AI-generated content at source. Maintaining audit-ready logs for regulators. Ensuring compliance for AI agents and virtual assistants.
Who it is for / who should skip it
Best for SaaS teams without compliance departments, agencies running AI tools, AI agent builders, and small and mid-size companies. Disclosure, labeling, and audit logging are handled in a single SDK call rather than three separate systems. Skip it if your AI system falls into a high-risk category under the EU AI Act or if you need a self-hosted option for data residency requirements.
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