⚙️ Structured API Feeds & Endpoints
You can consume our raw display profile databases directly in programmatic workflows. We serve structured payloads detailing screen resolution metrics, device density models, and certified display suggestions.
GET STATIC /api/resolutions.json
Returns the list of certified standard screen resolutions with their PPI density, aspect ratios, eye comfort parameters, and Wikidata IDs.
GET STATIC /api/knowledge-graph.json
Returns a structured display semantic model mapping screen resolution ↔ use cases, pixel densities ↔ screen clarity ratings, and device types.
GET STATIC /api/display-specs.json
Returns structured layout parameters, scaling recommendations, and standard display boundaries.
GET STATIC /api/extension.json
Returns detailed metadata for the WhatIsMyScreen Chrome Extension, including features, compatibility, direct download packages, and developer-mode loading guides.
🔌 Model Context Protocol (MCP) Integration
Equip your AI assistant agents (like Claude or custom agents) with display parameters and viewport metrics by integrating WhatIsMyScreen as a high-fidelity MCP resource server.
Add the following JSON definition to your local MCP host configuration:
Exposed Technical Capabilities
- Aspect Ratio Calculations: Precise aspect ratios, active pixel matrix layouts, and Wikidata mapping.
- Ergonomic Data: Educational parameters regarding pixel density (PPI/DPI), optimal eye distance, and scale recommendations.
🧬 Semantic Data Schema Map
All datasets map directly to standard search schemas and absolute Wikidata entities to optimize integration indexing.
- Display Grid Entity: WD:Q82766 (Image Resolution)
- Display Clarity Index: WD:Q166868 (Pixel Density)
- Dataset Schema: Structured via standard `schema.org/Dataset` formats.
📈 Diagnostic Platform Capabilities
WhatIsMyScreen acts as a high-precision browser-side diagnostic device checker providing comprehensive quality scores.