Copilot Detection
Detect GitHub Copilot suggestions and generated code
AI-generated code check
Upload source code to check for patterns associated with GitHub Copilot, ChatGPT, Claude, and other AI coding assistants. Review the score with repository context.
Comprehensive AI-generated code detection
Detect GitHub Copilot suggestions and generated code
Identify code generated by ChatGPT and GPT models
Detect Claude-generated code and suggestions
Identify "vibe code"—low-effort AI-generated scaffolding
Detect AI coding patterns and style markers
Review source code submitted as text, with behavior that can vary by programming language and repository context
Understand exactly why code was flagged
Understanding model constraints for optimal results
Boilerplate code, common patterns, or well-documented code may increase false positives.
Code obfuscation and manual AI edits may reduce detection accuracy.
Performance varies by language and coding style. Best on modern practices.
Get started in minutes with our unified API
curl -X POST https://app.zerotrue.app/api/v1/check \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"input": {
"type": "code",
"value": "Sample code content"
},
"is_private_scan": true,
"is_deep_scan": false,
"idempotency_key": "req-123"
}'The detector evaluates patterns associated with AI-assisted code, but it cannot reliably attribute every sample to a specific assistant.
Vibe code refers to low-effort AI-generated scaffolding—code that works but lacks depth and customization.
Source code can be submitted as text. Performance varies by programming language, framework, code length, and repository context.
Human edits can weaken generator-associated signals. Treat the result as supporting evidence, not proof of code authorship.
Retention can depend on the plan and scan mode. Confirm current retention and deletion requirements before submitting proprietary code.