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AI Percentage Detector

Authentication Type: API Key
Description: Detect what percentage of text content is AI-generated using advanced analysis.

AI Detection

Analyze text content to determine AI vs human authorship.

Detect AI Content

Analyze a block of text to determine what percentage is AI-generated vs human-written.

Operation Type: Mutation (Write)

Parameters:

  • text string (required): The text content to analyze for AI detection

Returns:

  • aiPercentage number (nullable): Percentage of content detected as AI (0-100)
  • humanPercentage number (nullable): Percentage of content detected as human (0-100)
  • totalWords number (nullable): Total number of words analyzed
  • aiWords number (nullable): Number of words detected as AI-generated
  • sentences array of strings (nullable): Array of sentences from the analyzed text
  • feedback string (nullable): Additional feedback or recommendations from the detector
  • status boolean: Whether the analysis was successful

Example Usage:

{
  "text": "Artificial intelligence has revolutionized the way we approach complex problem-solving in modern technology. Machine learning algorithms can now process vast amounts of data to identify patterns and make predictions with unprecedented accuracy. This technological advancement has opened new possibilities across industries, from healthcare to finance, enabling more efficient and effective solutions to longstanding challenges."
}

Common Use Cases

Academic Integrity Monitoring:

  • Verify the authenticity of student submissions and research papers for educational institutions
  • Analyze academic content to ensure compliance with originality requirements and citation standards
  • Monitor thesis and dissertation content for potential AI-generated sections that require disclosure

Content Quality Assurance:

  • Evaluate blog posts, articles, and marketing content for originality and human authorship
  • Screen user-generated content on platforms to maintain quality standards and authenticity
  • Assess freelance and contractor-submitted content to ensure it meets human-authored requirements

Publishing and Editorial Review:

  • Review manuscripts and articles before publication to identify potential AI-generated content
  • Ensure editorial standards and authenticity requirements are met for journals and publications
  • Analyze content submissions to maintain credibility and reader trust in published materials

Corporate Content Governance:

  • Monitor internal communications and documentation for appropriate use of AI-generated content
  • Ensure compliance with company policies regarding AI content creation and disclosure
  • Review marketing materials and public communications for authenticity and brand voice consistency