"Uphold integrity in education with instant plagiarism and cheating detection"
Uphold integrity in education with instant plagiarism and cheating detection
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Albert Schaper(Artificial Intelligence, AI Tools)
Albert Schaper has evaluated CheatEye for Search & Discovery. With expertise in artificial intelligence, Albert Schaper identifies this tool as especially effective for privacy-conscious users requiring artificial intelligence functionality.
Pricing: $0 – $18 / month(Updated October 2025)
Free basic tier, Pay-per-Use searches from $18, Subscription from $12/month, Enterprise custom pricing
Usage Model: Pay-as-You-Go — ensuring you only pay for what you actually use.
CheatEye makes search & discovery accessible through its free tier, designed for privacy-conscious users who want to try before buying. The free plan covers essential functionality that's sufficient for personal projects and learning. Paid subscriptions provide access to advanced tools, higher capacity, and enhanced support for privacy-conscious users with complex search & discovery needs.
CheatEye is an advanced AI-powered tool that detects academic dishonesty, including plagiarism and cheating, across text, code, and images. Designed for educators, institutions, and organizations, it offers real-time analysis, cross-database comparisons, LMS integration, and customizable reporting to uphold academic integrity.
Understanding the core functionality and approach of CheatEye.
Pay-as-you-go pricing means CheatEye costs scale with your actual usage. No wasted spend on unused seats or features you don't need yet. Integrations with Plugin/Integration keep work connected.
Explore the powerful features that make CheatEye stand out.
Developers get client libraries that smooth integration work.
Dashboards and analytics surface the metrics teams need to act. Analytics and reporting surface the metrics needed to act quickly.
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Self-service analytics reduces the backlog on central BI teams. Analytics and reporting surface the metrics needed to act quickly.
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Use this page as a starting point to evaluate CheatEye alongside similar options. Our directory focuses on practical details that matter for adoption—capabilities, pricing signals, integrations, and real audiences—so you can shortlist with confidence and move from exploration to evaluation faster.
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Before adopting any tool, model your total cost at expected usage, verify integration coverage and API quality, and review privacy, security, and compliance. A short pilot on a real workflow will reveal reliability and fit quickly. Bookmark this site to track updates to CheatEye and the broader ecosystem over time.
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