> For the complete documentation index, see [llms.txt](https://dxai.gitbook.io/dxai-light-paper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://dxai.gitbook.io/dxai-light-paper/implementation/api.md).

# API

**Key features**

***

* **Speed**: Reduces the time needed for diagnostics from hours to seconds.
* **Accessibility**: Makes cutting-edge AI diagnostics available globally, including in underserved regions.
* **Collaboration**: Enables researchers, developers, and institutions to build and innovate on top of the DXAI ecosystem.
* **Transparency**: Blockchain-backed transactions ensure fair usage and clear billing for all users.

#### **Benefits**

***

1. **API Key Registration**
   * Developers must register on the DXAI platform to receive an API key linked to their $DXAI wallet.
2. **Comprehensive Documentation**
   * Detailed guides, sample code, and SDKs will be provided for easy integration in various programming languages (e.g., Python, JavaScript).
3. **Sandbox Environment**
   * A free sandbox environment will allow developers to test the API with limited functionality before committing to paid plans.

#### **Developer Onboarding**

***

1. **Pay-Per-Request**
   * Each API request (e.g., per image or text analysis) is billed in $DXAI tokens.
   * Example: 1 image analysis = $1 in $DXAI tokens.
2. **Subscription Plans**
   * Monthly or yearly subscriptions provide a set number of API requests, with higher tiers unlocking additional features such as faster processing and custom model integrations.
3. **Enterprise Plans**
   * Custom pricing for high-volume users, such as hospitals and large research institutions, with support for batch processing and dedicated infrastructure.

The API will operate on a flexible, token-based pricing structure powered by $DXAI:

#### **Pricing Model**

***

1. **Hospital Systems Integration**
   * Hospitals can integrate the DXAI API into their PACS (Picture Archiving and Communication Systems) for seamless diagnostic support.
   * Enables real-time triage of imaging data, reducing the workload on radiologists and improving patient outcomes.
2. **Telemedicine Platforms**
   * API integration allows telemedicine providers to offer advanced diagnostics remotely, enhancing care for underserved or remote regions.
3. **Research and Development**
   * Researchers can use the API to test hypotheses, analyze datasets, and validate AI models with domain-specific metrics.
4. **Insurance Providers**
   * Automates claims processing by analyzing diagnostic reports and ensuring accuracy in billing and approvals.

#### **Proposed end points**

***

1. **/diagnose/image**
   * **Description**: Upload medical images for analysis.
   * **Input**: Image files (e.g., CT scans, MRIs, X-rays).
   * **Output**: JSON response with diagnostic insights, probability scores, and optional annotated images.
2. **/diagnose/text**
   * **Description**: Submit clinical notes or diagnostic reports for analysis.
   * **Input**: Text data (e.g., symptoms, lab results, medical history).
   * **Output**: Summarized insights, potential diagnoses, and recommendations.
3. **/model/score**
   * **Description**: For AI researchers, upload and evaluate custom-trained models.
   * **Input**: Model parameters, training datasets, and validation data.
   * **Output**: Performance metrics (e.g., sensitivity, specificity) and ranking within the DXAI ecosystem.
4. **/subscription/status**
   * **Description**: Check the status of a user’s subscription or token balance.
   * **Input**: User ID or wallet address.
   * **Output**: Subscription tier, token balance, and usage statistics.
5. **/report/history**
   * **Description**: Retrieve past analyses and reports for a specific user or session.
   * **Input**: User ID or session ID.
   * **Output**: List of processed data with timestamps.

#### Selling points

***

1. **Comprehensive Diagnostics**
   * The API grants access to a wide range of DXAI agents, each specialized in domains like neurology, ophthalmology, radiology, and more.
   * Supports the analysis of medical imagery (e.g., CT scans, X-rays, fundus images) and clinical data (e.g., text-based reports).
2. **Real-Time Analysis**
   * Process medical data and retrieve diagnostic insights in real-time, enabling faster decision-making and streamlined workflows.
3. **Customizable Outputs**
   * Flexible configurations allow developers to request outputs in formats tailored to their needs, such as probability scores, annotated images, or plain-text reports.
4. **Secure and Compliant**
   * Designed to comply with healthcare regulations (e.g., HIPAA, GDPR), ensuring secure handling of sensitive medical data.
   * All data processed through the API is anonymized and deleted post-analysis.
5. **Scalable Infrastructure**
   * Handles high-volume requests, making it ideal for hospitals, research labs, and large-scale healthcare providers.


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