Enhanced Schema Playground
Professional META-AIML schema editor with Monaco Editor, comprehensive validation, and enhanced features for META-AIML v2.0.1. Create, validate, and perfect your schemas with real-time feedback and META-AIML Intelligent Scoring Engine system across 31 entity types.
Monaco Editor
AI-Powered Validation
META-AIML v2.0.1
Comprehensive Analytics
Monaco Editor
Professional code editor with syntax highlighting
Smart Validation
Comprehensive META-AIML v2.0.1 compliance checking
Rich Templates
31 entity types across 6 categories with 15 modules
Analytics
META-AIML Intelligent Scoring Engine with interactive calculator
META-AIML Schema Playground v2.0.1
Professional schema editor with comprehensive validation and analytics
Ready
Quick Templates:
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Enhanced JSON Schema Editor
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Enhanced Features & Best Practices
New capabilities and guidelines for META-AIML v2.0.1 schemas
New in v2.0.1
- • Monaco Editor with syntax highlighting and themes
- • Comprehensive validation with 90+ rules
- • Quality scoring and completeness analytics
- • Enhanced templates with proper AIML structure
- • Real-time performance insights
Required META-AIML v2.0.1 Fields
- • @context: "https://schemas.meta-aiml.org/v2.0.1/context.jsonld"
- • @id, @type for JSON-LD compatibility
- • schemaVersion: "2.0.1"
- • entityType, entityCategory, subcategory
- • Multilingual name and description objects
Entity Categories Structure
- • creative_work: 9 entities (blog, event, gaming, etc.)
- • organization: 6 entities (clinic, hotel, restaurant, etc.)
- • product_offering: 4 entities (marketplace, ecommerce, etc.)
- • service: 9 entities (ai_platform, webapp, etc.)
- • community: 2 entities (dating, social_network)
- • financial_product: 1 entity (online_banking)
Advanced Features
- • modules: For functionality integration
- • entityCapabilities: For objective business features
- • siteCapabilities: For website interaction features
Related Documentation & Resources
Explore comprehensive META-AIML documentation and examples
Enhanced Validation System
Understand the comprehensive validation categories and scoring system
Error Categories (Must Fix)
Structure: JSON syntax, required fields, data types
Schema: Entity types, categories, invalid references
Capabilities: Entity and site capabilities validation
Warning Categories (Recommended)
Best Practice: Naming conventions, URL formats
Performance: Schema size, complexity optimization
Completeness: Missing recommended fields
Quality Scoring System
90-100
Excellent - Production Ready
50-89
Good - Minor Improvements
0-49
Needs Work - Address Errors