Visualization

Our tech stack will execute complex relational queries directly on the blockchain. Visualize real data flow through sophisticated JOINs, aggregations, and analytics.

🏦 DeFi Analysis
🤖 AI Agents
👥 Social Trading

Complex Multi-Table Query

Query Performance

Execution Time
47ms
Records Processed
284,394
Tables Joined
5
Gas Used
0.0023 RAZR

Live Query Results

Updated 2.3s ago

Real-time Data Flow

Impossible on Traditional Blockchains

These sophisticated queries run natively on-chain with cryptographic guarantees. No external indexing, no centralized databases.

🔗

Cross-Protocol Analytics

Analyze relationships across multiple DeFi protocols with complex JOINs and aggregations.

SELECT protocol, SUM(tvl), AVG(apy)
FROM defi_protocols p
JOIN user_positions u ON p.id = u.protocol_id
GROUP BY protocol
🤖

AI Agent Coordination

Multiple AI agents share data and coordinate decisions through relational queries.

WITH agent_performance AS (...)
SELECT agent_id, strategy_success
FROM agents WHERE active = true
ORDER BY performance DESC
👥

Social Finance Networks

Analyze complex social graphs and reputation systems with multi-table relationships.

SELECT u.username, COUNT(f.follower_id)
FROM users u JOIN follows f
ON u.id = f.user_id
WHERE u.reputation > 800

Traditional Blockchain vs OCKAMS dSQL

Traditional Blockchain Limitations

Simple Key-Value Storage
mapping(address => uint256) balance
No Complex Queries
Cannot JOIN or aggregate data on-chain
External Indexing Required
The Graph, Alchemy, centralized databases
Limited AI Integration
AI agents can't access rich data structures

OCKAMS dSQL Advantages

Full Relational Database
Tables, relationships, constraints, indexes
Native SQL Queries
Complex JOINs, aggregations, analytics on-chain
No External Dependencies
All data and queries are blockchain-native
AI Agent Paradise
Rich data structures enable sophisticated AI