Ghostprintv3.0.1

A virtual assistant that uses Ghostprint to anonymize user queries, preventing behavioral profiling by LLM providers. Ideal for privacy-conscious individuals who want personalized AI help without leaving a traceable digital footprint.

Companies integrate Ghostprint to mask employee interactions with LLMs, ensuring corporate strategy and sensitive data do not contribute to external model training or profiling. Maintains productivity while safeguarding intellectual property.

Security researchers use Ghostprint to simulate diverse user behaviors and test LLM endpoints for bias, consistency, and vulnerability to fingerprinting attacks. Helps improve model robustness and fairness.

Market analysts deploy Ghostprint to query competitor AI systems without revealing their identity or research focus. The noise injection prevents correlation of queries to a specific company or individual.

Users of the OpenClaw platform install Ghostprint as a plugin to automatically depersonalize their LLM usage across multiple providers. No configuration needed—reuses existing keys and runs background scheduling seamlessly.

Offer Ghostprint as a free plugin for OpenClaw with core functionality (basic persona generation, scheduled noise injection). Premium tier adds advanced customization (custom personas, detailed stats, multi-provider sync) for $2/month.

License Ghostprint to enterprises needing compliance-grade anonymization (HIPAA, GDPR). Includes dedicated support, custom integration, and audit logs. Priced per seat or flat annual fee based on user count.

Provide one-time consulting to integrate Ghostprint into existing AI workflows or proprietary platforms. Includes setup, training, and optional ongoing maintenance. Targeted at startups and mid-market companies.