Schema Marketplace
Overview
FoldDB's Schema Marketplace enables developers to publish schemas that define data structures, field mappings, permissions, and payment requirements. The marketplace uses Lightning Network micropayments and trust-based pricing for schema development and usage.
graph TD
subgraph Developers
D1((Developer 1)) --> |Publishes| S1{{Schema A}}
D2((Developer 2)) --> |Publishes| S2{{Schema B}}
D3((Developer 3)) --> |Publishes| S3{{Schema C}}
end
subgraph Users
U1((User 1)) --> |Lightning Payment| S1
U2((User 2)) --> |Lightning Payment| S1
U2 --> |Lightning Payment| S2
U3((User 3)) --> |Lightning Payment| S2
U3 --> |Lightning Payment| S3
end
subgraph Payments
S1 --> |Hold Invoice| D1
S2 --> |Hold Invoice| D2
S3 --> |Hold Invoice| D3
end
Market Dynamics
1. Schema Development
-
Quality Incentives
- Usage-based payments
- Trust relationship benefits
- Community reputation
- Version tracking
-
Development Guidelines
- Clear documentation
- Efficient field mappings
- Security practices
- Performance optimization
2. Payment System
flowchart LR
subgraph Request
U[User] --> |Query| S[Schema]
S --> |Calculate| F[Fees]
F --> |Generate| H[Hold Invoice]
end
subgraph Payment
H --> |Lightning Network| P[Process]
P --> |Verify| V[Validate]
V --> |Complete| T[Transaction]
end
subgraph Distribution
T --> |Base Fee| D[Developer]
T --> |Trust Bonus| B[Trust Pool]
end
-
Lightning Network Integration
- Micropayments
- Hold invoices for operations
- Trust-based fee scaling
- Atomic transactions
-
Pricing Factors
- Base schema costs
- Trust distance multipliers
- Operation complexity
- Resource usage
3. Trust System
graph TD
subgraph Trust Relationships
A[User A] -->|Trust Level 1 <br> Low Cost| B[User B]
B -->|Trust Level 2 <br> Medium Cost| C[User C]
A -->|Trust Level 3 <br> High Cost| C
end
subgraph Access Rights
B --> |Full Access| S1[Schema 1]
C --> |Limited Access| S1
C --> |No Access| S2[Schema 2]
end
- Trust-Based Access
- Lower costs for trusted users
- Broader access rights
- Simplified permissions
- Scaling
Schema Dependencies
Field Mapping Chain
graph TD
subgraph Data Flow
D((Raw Data)) --> |Field Map| S0{{Base Schema}}
S0 --> |Field Map| S1{{Schema v1}}
S1 --> |Field Map| S2{{Schema v2}}
S2 --> |Field Map| S3{{Schema v3}}
end
subgraph Access Control
U((Client)) --> |Query + Payment| S3
S3 --> |Validated Access| U
S2 --> |Restricted| X1((❌))
S1 --> |Restricted| X2((❌))
S0 --> |Restricted| X3((❌))
end
Schema Requirements
-
Dependency Management
- Version compatibility
- Field mapping validation
- Permission inheritance
- Payment distribution
-
Access Control
- Field-level permissions
- Trust requirements
- Payment verification
- Field mapping validation
Benefits
1. For Developers
-
Revenue
- Usage-based income
- Trust bonuses
- Version upgrades
- Operations fees
-
Tools
- Schema templates
- Validation tools
- Testing frameworks
- Performance metrics
2. For Users
-
Data Control
- Field-level permissions
- Trust-based access
- Cost optimization
- Privacy protection
-
Integration
- Standard formats
- Automatic field mappings
- Verified schemas
- Consistent access
3. For the Ecosystem
-
Quality Assurance
- Community review
- Usage metrics
- Trust scoring
- Version tracking
-
Growth
- Innovation incentives
- Standard evolution
- Cost efficiency
- Network effects
Best Practices
1. Schema Design
- Document clearly
- Optimize performance
- Implement security
- Plan scaling
- Test code
2. Market Participation
- Build trust relationships
- Monitor usage
- Adjust pricing
- Maintain versions
- Respond to feedback
3. Integration
- Validate field mappings
- Check permissions
- Verify payments
- Handle errors
- Monitor performance
The marketplace rewards quality schema development, protects user privacy, and aligns economic incentives with security and efficiency.