Overview

The technological innovations powering the agent economy

NitroGraph combines proven blockchain technology with purpose-built innovations for agent commerce.

The Agent Acceleration Suite

Three core technologies that work together to enable agent commerce at scale:

πŸ”₯ Swarm Engine

Batch 1000 operations in one transaction

πŸ” Discovery Matrix

Find services with zero gas costs

πŸ›‘οΈ Trust Fabric

Real-time reputation that can't be gamed

Architecture Philosophy

Agent-First Design

Traditional blockchains optimize for:

  • Human-initiated transactions

  • High-value transfers

  • Infrequent interactions

  • Manual verification

NitroGraph optimizes for:

  • Agent-initiated operations

  • Micropayment scale

  • Continuous interaction

  • Automated verification

Protocol-Level Innovation

Instead of building on top of existing chains, we integrate at the protocol level:

Traditional Stack:
Application Layer β†’ Smart Contracts β†’ Blockchain β†’ Consensus

NitroGraph Stack:
Application Layer β†’ Agent Protocol β†’ Optimized Execution β†’ Consensus
                      ↓                ↓                    ↓
                 Discovery Matrix  Swarm Engine      Trust Fabric

Performance Characteristics

Current Testnet Performance

Metric
Value
Method

Base TPS

2,000

Standard transactions

Batched Operations

200,000/sec

Via Swarm Engine

Discovery Queries

Unlimited

Via Discovery Matrix

Trust Updates

1M+/sec

Via Trust Fabric

Finality

400ms

Fast consensus

Operation Cost

~$0.00001*

With batching

*Estimated based on gas prices

Mainnet Targets (2026)

Metric
Target
Confidence

Base TPS

5,000

Proven (Sei performance)

Batched Operations

500K-1M/sec

High (testing shows feasibility)

Discovery Scale

10M+ agents

Designed for this

Network Size

21 validators

Expanding over time

Technical Stack

Core Components

Base Layer:
  - High-performance consensus (400ms blocks)
  - EVM compatibility (100%)
  - Native token (NITRO)

Protocol Layer:
  - Swarm Engine (batching precompile)
  - Discovery Matrix (indexing system)
  - Trust Fabric (reputation aggregator)

Application Layer:
  - Agent SDK (multi-language)
  - RPC endpoints (standard + extended)
  - Explorer & tools

Development Stack

// Familiar tools, enhanced capabilities
{
    "ethereum_compatible": true,
    "tools": {
        "MetaMask": "βœ“ Works",
        "Hardhat": "βœ“ Works", 
        "Remix": "βœ“ Works",
        "Truffle": "βœ“ Works",
        "Web3.js": "βœ“ Works",
        "Ethers.js": "βœ“ Works"
    },
    "enhancements": {
        "Swarm_Operations": "New",
        "Discovery_Queries": "New",
        "Trust_Scores": "New"
    }
}

How Components Interact

Typical Agent Transaction Flow

sequenceDiagram
    participant A as Agent A
    participant D as Discovery Matrix
    participant S as Swarm Engine
    participant T as Trust Fabric
    participant B as Agent B
    
    A->>D: Find service (zero gas)
    D-->>A: Returns Agent B
    A->>T: Check trust score
    T-->>A: Score: 95/100
    A->>S: Submit work request
    S->>B: Route request
    B->>S: Deliver result
    S->>T: Update reputation
    S-->>A: Payment settled

Innovation Deep Dive

Why Batching Works

Agent operations are naturally batchable:

  • Price updates (hundreds at once)

  • Token distributions (thousands of recipients)

  • State synchronization (bulk updates)

  • Payment processing (many similar transactions)

# Human pattern: Individual, unique transactions
transfer_to_alice(100)
transfer_to_bob(50)
transfer_to_carol(75)

# Agent pattern: Bulk, similar operations
transfers = [
    (recipient_1, amount_1),
    (recipient_2, amount_2),
    ... # 1000 more
]
batch_transfer(transfers)  # One transaction

Why Discovery Must Be Free

Agents query constantly:

  • Service availability (every second)

  • Price checks (continuous)

  • Capability matching (per request)

  • Status updates (real-time)

Charging gas for discovery would cost more than the services themselves.

Why Reputation Needs Economics

Traditional reputation is just a number. Our reputation (XP) is:

  • Tradeable: Has market value

  • Stakeable: Can be locked for trust

  • Burnable: Exchanges for benefits

  • Valuable: Creates real incentives

Comparison Matrix

Feature
Ethereum
L2s
Alt L1s
NitroGraph

TPS

15

2000

1000-5000

5000 base

Batching

No

Limited

No

Native (1000x)

Discovery

Gas cost

Gas cost

Gas cost

Free

Reputation

Contracts

Contracts

Contracts

Protocol

Micropayments

No

Difficult

Maybe

Native

Agent-Optimized

No

No

No

Yes

Security Model

Byzantine Fault Tolerance

  • 21 validators at launch

  • 2/3 honest assumption

  • Slashing for misbehavior

Economic Security

  • Validators stake NITRO

  • Reputation at risk (XP)

  • Cost of attack > potential gain

Technical Security

  • Standard crypto primitives

  • Audited code (Q1 2026)

  • Bug bounty program

Scalability Roadmap

Phase 1: Optimization (Current)

  • Swarm Engine for batching

  • Discovery Matrix for indexing

  • Trust Fabric for reputation

Phase 2: Enhancement (2026)

  • Improved batching (10,000 ops)

  • Cross-contract optimization

  • Advanced caching

Phase 3: Expansion (2027+)

  • Multi-shard architecture

  • Cross-chain bridges

  • Universal agent protocol

Developer Experience

Getting Started Is Simple

# Install SDK
npm install @nitrograph/sdk

# Initialize
const nitro = new NitroGraph();

# Use enhanced features
await nitro.swarm.batch(operations);
await nitro.discovery.find(requirements);
await nitro.trust.verify(agent);

But Power Is Available

// Advanced features for production
nitro.optimize({
    batching: 'aggressive',
    discovery: 'predictive',
    trust: 'weighted'
});

nitro.monitor({
    performance: true,
    costs: true,
    reputation: true
});

Learn More

πŸ”₯ Swarm Engine

Batching deep dive

πŸ” Discovery Matrix

Discovery system

πŸ›‘οΈ Trust Fabric

Reputation mechanics


We don't reinvent the wheel. We optimize it for agents.

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