Price history
Recorded standalone sale prices and the latest available store price, in USD. Historical dots use the sale start date and its recorded offer price. Prices can change during a sale; this is not a daily price log. Bundle prices and upcoming offers are excluded. History covers up to the 100 most recent recorded offers.
Lowest recorded standalone price in this history: $5. The latest store price is $5, matching the lowest recorded price shown here.
View 5 recorded prices
| Sale start / price check | Price | Observation |
|---|---|---|
| $5 | Latest store price | |
| $5 | Unity Permanent Decrease 2026-08-08 2026-08-15 | |
| $15 | Unity First Price 2026-06-19 2026-06-26 | |
| $7.50 | Unity New Release Discount 2026-06-12 2026-06-26 | |
| $7.50 | Unity New Release Discount 2026-06-12 2026-06-26 |
Sale and bundle history
The 4 most recent recorded offers including this asset. Past offers may no longer be available. Bundle prices cover a package, not this asset alone.
About Inspector Context Exporter for AI
- Tools, Systems & Learning > Development Tools & Automation
Inspector Context Exporter for AI is an advanced technical solution for the Unity Editor that extracts the real state of objects into a structured Markdown format, natively interpreted by large language models (LLMs). The system eliminates the critical information gap between source code and the Unity Editor, providing AI assistants with full visibility over serialized values, object references, and instance modifications (overrides). This data transparency allows the AI to understand the exact scene context in real-time, resulting in more precise bug diagnostics and high-level architectural suggestions.
Isolated analysis of C# scripts by AI assistants often results in generic or incorrect solutions, as game behavior in Unity depends directly on data configured in the Inspector. Without access to these metadata, the AI cannot identify if a failure is caused by an incorrect value, a null reference, or a diverging Prefab configuration.
This tool automates context creation by converting complex hierarchies and component states into token-optimized text. The process eliminates the need for exhaustive manual descriptions, ensuring the AI identifies logic and configuration errors in the first message, drastically reducing the "trial and error" cycle.
Key Features:
- Customizable Context Profiles: Switch between built-in presets—such as Quick Context, Full Context, or Logic-only—to filter data automatically. The system allows for the creation of unique, user-defined profiles to specify exactly which fields and components are exported, ensuring maximum token efficiency for any workflow.
- Selective Export and Interactive Preview: The preview window checkbox system allows specific components or scripts to be manually disabled before copying. This enables fine-tuning of the prompt, removing irrelevant data to focus the AI's attention only on the current bug's logic.
- Advanced Prefab Override Detection: Automatically identifies and marks fields that differ from the base Prefab. This feature prevents the AI from suggesting unnecessary code changes when the real issue is an incorrectly configured value in the scene instance.
- Dependency Awareness (Referenced By): Automatically generates a list of all objects in the scene that hold references to the selected target. This provides the AI with a systemic understanding of project interactions, essential for refactoring and debugging complex systems.
- Multimodal Asset Support: Extracts technical data from AnimatorControllers (parameters and layers), ScriptableObjects, Materials, NavMesh, and AudioMixers.
- Security and Private Data Redaction: An integrated security filter scans field names for sensitive terms such as "key", "password", or "token", replacing their values with redacted labels before export.
- Real-time Token Counter: Displays a visual and numerical token estimate, helping developers maintain context within the operational limits of AI models.
Isolated analysis of C# scripts by AI assistants often results in generic or incorrect solutions, as game behavior in Unity depends directly on data configured in the Inspector. Without access to these metadata, the AI cannot identify if a failure is caused by an incorrect value, a null reference, or a diverging Prefab configuration.
This tool automates context creation by converting complex hierarchies and component states into token-optimized text. The process eliminates the need for exhaustive manual descriptions, ensuring the AI identifies logic and configuration errors in the first message, drastically reducing the "trial and error" cycle.
Key Features:
- Customizable Context Profiles: Switch between built-in presets—such as Quick Context, Full Context, or Logic-only—to filter data automatically. The system allows for the creation of unique, user-defined profiles to specify exactly which fields and components are exported, ensuring maximum token efficiency for any workflow.
- Selective Export and Interactive Preview: The preview window checkbox system allows specific components or scripts to be manually disabled before copying. This enables fine-tuning of the prompt, removing irrelevant data to focus the AI's attention only on the current bug's logic.
- Advanced Prefab Override Detection: Automatically identifies and marks fields that differ from the base Prefab. This feature prevents the AI from suggesting unnecessary code changes when the real issue is an incorrectly configured value in the scene instance.
- Dependency Awareness (Referenced By): Automatically generates a list of all objects in the scene that hold references to the selected target. This provides the AI with a systemic understanding of project interactions, essential for refactoring and debugging complex systems.
- Multimodal Asset Support: Extracts technical data from AnimatorControllers (parameters and layers), ScriptableObjects, Materials, NavMesh, and AudioMixers.
- Security and Private Data Redaction: An integrated security filter scans field names for sensitive terms such as "key", "password", or "token", replacing their values with redacted labels before export.
- Real-time Token Counter: Displays a visual and numerical token estimate, helping developers maintain context within the operational limits of AI models.