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
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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