Enhanced Schema Playground
Professional META-AIML schema editor with Monaco Editor, comprehensive validation, and enhanced features for META-AIML v3.0.0. 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 v3.0.0
Comprehensive Analytics
Monaco Editor
Professional code editor with syntax highlighting
Smart Validation
Comprehensive META-AIML v3.0.0 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 v3.0.0
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 v3.0.0 schemas
New in v3.0.0
- Monaco Editor with syntax highlighting and themes
- Deep validation for schema contracts and filled instances
- Source-link security checks for public data endpoints
- Google-style score zones with strict thresholds
- Enhanced templates with canonical v3 shape
- Real-time performance insights
Required META-AIML v3.0.0 Fields
- @context includes "https://schemas.meta-aiml.org/v3.0.0/context.jsonld"
- @id and @type for JSON-LD compatibility
- schemaVersion: "3.0.0" and aimlVersion: "3.0.0"
- ontologicalMode, domain, interactionArchetype
- capabilities, modules, structuralMetadata
Ontology and Archetype Structure
- 5 ontological modes (Physical, Digital, Financial, Product, Event)
- 5 interaction archetypes (DirectService, MediatedExchange, etc.)
- Canonical entity profiles enforce mode/domain/archetype alignment
- ProductEntity is a no-archetype exception by design
Advanced Features
- modules: source-linked dynamic data integration
- capabilities: objective business feature model
- structuralMetadata: archetype-level invariants
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