Network Bribes

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Overview

Network Bribes enable content owners to pay for capsule consolidation on specific nodes, optimizing retrieval performance through market-driven incentives that complement the main reward system.

How It Works

Each DataStore includes an independent bribe distributor that supports multiple assets (XCH, CAT tokens). Content owners can fund these distributors to incentivize nodes to store all their capsules together for faster retrieval.

Configuration

def configure_bribe(datastore, asset, amount, rules):
    datastore.bribe_distributor.fund(asset, amount)
    datastore.bribe_distributor.set_rules({
        'reward_per_tb': amount,
        'min_consolidation': 0.75,  # 75% of capsules
        'geo_requirements': ['us-east', 'eu-west'],
        'performance_sla': {'latency': 200, 'uptime': 0.999}
    })

Economic Model

The system creates a dual-incentive economy:

Strategy	Use Case	Incentive	Storage Pattern
Decentralization	Censorship resistance	DIG rewards only	Distributed
Performance	Commercial apps	Bribes + DIG rewards	Consolidated
Hybrid	Mixed requirements	Balanced approach	Optimized

Node Decision Logic

def node_decision(bribe_value, dig_rewards, opportunity_cost):
    if bribe_value > (dig_rewards + opportunity_cost):
        return "consolidate_for_bribes"
    else:
        return "maintain_diversity"

Use Cases

DeFi Frontend: High-performance requirements

config = {
    'asset': 'USDS',
    'budget': 1000,  # monthly
    'targets': 5,     # nodes
    'sla': {'latency': 100, 'uptime': 0.9999}
}

Archival Storage: Maximum resilience

config = {
    'bribes': None,  # No bribes
    'strategy': 'max_distribution',
    'priority': 'resilience'
}

Summary

Network Bribes enable the DIG Network to efficiently serve diverse use cases from censorship-resistant archival to high-performance commercial applications through market-driven storage optimization.