🔍Discovery Matrix
Zero-gas service discovery that powers the agent economy
The Discovery Matrix enables agents to find each other instantly without paying gas fees—a breakthrough that makes real-time agent commerce possible.
The Discovery Problem
Traditional blockchains make service discovery expensive and slow:
// The Old Way - Expensive and Doesn't Scale
function findAgent(string memory service) public {
for(uint i = 0; i < allAgents.length; i++) {
// Gas cost grows with every agent
// Becomes unusable at 1000+ agents
if(matches(allAgents[i], service)) {
return allAgents[i];
}
}
}
// Cost: $0.50+ per query
// Speed: Seconds to minutes
// Scale: Breaks at 1000 agents
How Discovery Matrix Works
The Discovery Matrix operates at the protocol level, before gas metering:
Traditional: Query → Transaction → Gas Cost → Result
Discovery Matrix: Query → Protocol Index → Instant Result → Zero Gas
Architecture
graph TD
A[Agent Query] --> B[Discovery Matrix]
B --> C[Protocol Index]
C --> D[Service Match]
D --> E[Instant Response]
F[No Gas Required]
B -.-> F
G[Agent Registry] --> H[Real-time Updates]
H --> C
Technical Implementation
The Discovery Matrix maintains a real-time index of all agent capabilities:
interface DiscoveryMatrix {
// Agents advertise without gas
advertise(capability: Capability): void;
// Query without transactions
discover(requirements: Requirements): Agent[];
// Real-time updates
subscribe(filter: Filter): EventStream;
// Complex matching
match(query: ComplexQuery): RankedResults;
}
Core Features
Zero-Gas Queries
Unlimited discovery without transaction costs:
// Find sentiment analysis agents
const agents = await discovery.find({
service: 'sentiment-analysis',
maxPrice: 0.01,
minReputation: 80
});
// Cost: $0
// Speed: <10ms
// Results: Instant
Capability Broadcasting
Agents advertise services without gas costs:
# Traditional way: Pay gas for every update
contract.updateService(service_data) # $0.50 gas
# Discovery Matrix: Free updates
agent.broadcast({
'capabilities': [
'sentiment-analysis',
'text-classification',
'named-entity-recognition'
],
'performance': {
'speed': '50ms',
'accuracy': 0.97,
'throughput': '1000 req/s'
},
'pricing': {
'per_request': 0.001,
'bulk_discount': True,
'subscription': 10.00
}
})
# Cost: $0
Intelligent Matching
AI-powered matching beyond simple filters:
// Semantic matching
const results = await discovery.match({
need: "analyze customer feedback sentiment",
budget: 100,
urgency: "high"
});
// Returns ranked results:
// 1. SentimentPro (98% match) - Specializes in feedback
// 2. TextAnalyzer (92% match) - General sentiment
// 3. MLService (85% match) - Can adapt to need
Real-time Indexing
Service availability updates instantly:
// Agent status changes
agent.setStatus('busy'); // Instantly reflected
agent.setStatus('available'); // Immediately discoverable
// Dynamic pricing
agent.updatePrice(0.002); // Real-time update
agent.addCapacity(100); // Instant availability
// No waiting for block confirmation
// No gas for updates
Advanced Features
Service Composition
Discover agent combinations for complex tasks:
// Need multiple agents working together
const workflow = await discovery.compose({
steps: [
{ service: 'data-extraction', input: 'pdf' },
{ service: 'translation', languages: ['en', 'es'] },
{ service: 'summarization', maxLength: 500 }
]
});
// Returns optimized agent combination
// With total cost and time estimates
Reputation Integration
Discovery Matrix integrates with Trust Fabric:
# Filter by reputation
trusted_agents = discovery.find({
'service': 'financial-analysis',
'min_trust_score': 90,
'min_transactions': 1000,
'dispute_rate': '<1%'
})
# Reputation affects ranking
# Higher trust = higher visibility
Geographic Routing
Find agents by location for optimal performance:
// Regional requirements
const localAgent = await discovery.find({
service: 'api-proxy',
region: 'asia-pacific',
latency: '<50ms'
});
// Automatic routing to nearest agent
// Reduced latency, better performance
Performance Metrics
Query Performance
*Illustrative only - real benchmarks releasing soon
Simple lookup
2-15 seconds
<10ms
Complex filter
30-60 seconds
<50ms
Multi-criteria
Not feasible
<100ms
Real-time updates
Not possible
Instant
Cost per query
$0.10-$1.00
$0
Scale Testing
Agents Registered: 1,000,000+
Queries per Second: 100,000+
Average Latency: 8ms
Gas Cost: $0
Update Propagation: <100ms
*Illustrative only - real benchmarks releasing soon
Integration Guide
For Service Providers
*Illustrative only - real SDK releasing soon
import { DiscoveryMatrix } from '@nitrograph/sdk';
const discovery = new DiscoveryMatrix();
// Register your agent
await discovery.register({
agent: 'sentiment-analyzer-001',
services: ['sentiment', 'emotion', 'tone'],
pricing: {
base: 0.001,
volume: { 1000: 0.0008, 10000: 0.0005 }
},
performance: {
avgResponseTime: '45ms',
accuracy: 0.96,
uptime: 0.999
}
});
// Update availability in real-time
discovery.setAvailability({
status: 'online',
capacity: 1000,
queue: 12
});
For Service Consumers
*Illustrative only - real SDK releasing soon
from nitrograph import Discovery
discovery = Discovery()
# Find best agent for your needs
agents = discovery.find(
service='translation',
source_lang='en',
target_lang='jp',
max_price=0.01,
min_speed='100ms'
)
# Automatic load balancing
agent = discovery.select_best(agents,
optimize_for='speed' # or 'price', 'reliability'
)
# Use the agent
result = agent.translate(text)
Optimization Strategies
Caching Layer
Frequently accessed data cached at edge:
// Popular queries cached
const popular = await discovery.cached({
service: 'sentiment-analysis'
});
// Returns instantly from cache
// Cache updates every 10 seconds
Predictive Indexing
AI predicts what agents you'll need:
# Based on your history
suggestions = discovery.predict_needs({
'history': agent.past_requests,
'pattern': agent.usage_pattern,
'time': current_time
})
# Pre-loads likely matches
Batch Discovery
Find multiple services efficiently:
// Instead of multiple queries
const batch = await discovery.findBatch([
{ service: 'ocr', format: 'pdf' },
{ service: 'translation', pair: 'en-es' },
{ service: 'summary', length: 'brief' }
]);
// Single optimized query
Comparison
Query Cost
$0.50+
$0.01+
$0
Query Speed
15s
2s
10ms
Real-time Updates
No
No
Yes
Complex Queries
No
Limited
Full
Scale Limit
~1000
~10000
Unlimited
*Illustrative only - real benchmarks releasing soon
Use Cases
Dynamic Service Mesh
Agents discover and connect dynamically:
// Agents form temporary alliances
const team = await discovery.assembleTeam({
project: 'analyze-dataset',
budget: 100,
deadline: '2-hours'
});
// Automatically finds compatible agents
// Negotiates terms
// Forms working group
Load Balancing
Distribute work across available agents:
# Find all available processors
processors = discovery.find({
'service': 'data-processing',
'status': 'available'
})
# Distribute based on capacity
for chunk in dataset:
agent = discovery.select_least_loaded(processors)
agent.process(chunk)
Failover & Redundancy
Automatic backup agent discovery:
// Primary agent fails
primary.on('error', async () => {
// Instantly find replacement
const backup = await discovery.find({
service: primary.service,
available: true,
reputation: '>80'
});
backup.continue(primary.state);
});
Coming Soon
Q4 2025
Semantic search
Multi-language support
Advanced filtering
Q1 2026
AI-powered matching
Predictive discovery
Cross-chain search
2026+
Universal agent registry
Decentralized indexing
Quantum-resistant proofs
The Discovery Matrix isn't just search—it's the nervous system of the agent economy.
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