Agent Architecture

The technical foundation enabling autonomous sneaker arbitrage at scale.

Core Components

Decision Engine

ML-powered decision making that analyzes real-time market conditions, predicts outcomes, and executes trades. Uses ensemble models combining predictive analytics, pattern recognition, and behavioral analysis.

Execution Layer

Autonomous bid placement and order management across 1000+ retail endpoints simultaneously. Implements smart timing, retry logic, and fallback strategies to maximize fill rates.

Data Integration

Real-time ingestion from KicksDB feeds, inventory systems, pricing APIs, and demand signal aggregators. All data validated and deduplicated for accuracy.

Market Analysis

Continuous analysis of price trends, resale market movements, competitor activity, and demand signals. Feeds insights back into decision engine for optimization.

Optimization Loop

Every trade generates data. Agent learns from outcomes, adjusts models, and improves predictions. This continuous learning drives increasing profitability over time.

Real-Time Execution Flow

1

Monitor Phase

Continuous

Agent scans 1000+ endpoints every 50ms for inventory changes, new drops, and pricing updates.

2

Analyze Phase

<10ms

KicksDB data combined with historical patterns to calculate probability of profitable opportunity.

3

Predict Phase

<25ms

ML models predict expected resale value, demand curve, and optimal sell timing.

4

Execute Phase

<100ms

If opportunity meets profitability threshold, agent places bids across optimal channels.

5

Optimize Phase

<5ms

Agent adjusts bid timing and channel allocation in real-time based on responses.

6

Learn Phase

Continuous

Outcome stored and analyzed. Model weights adjusted to improve future predictions.

Performance Characteristics

<200ms

Response Time

Full decision to execution cycle

1000+

Endpoint Coverage

Simultaneous monitoring

50ms

Data Freshness

Inventory scan interval

87%

Accuracy

Prediction correctness rate

99.9%

Availability

Uptime guarantee

100+

Parallel Bids

Concurrent opportunities

Security & Reliability

Secure by Design

  • • Private keys never touch ReVault infrastructure
  • • All transactions signed locally on your wallet
  • • Rate limiting and DDoS protection
  • • Regular security audits and penetration testing

Fault Tolerance

  • • Multi-region deployment with automatic failover
  • • Redundant data feeds from multiple KicksDB sources
  • • Retry logic with exponential backoff
  • • Circuit breakers prevent cascade failures

Advanced Capabilities

Predictive Drop Detection

Agents identify upcoming drops before official announcements by analyzing brand patterns and market signals.

Demand Curve Modeling

Real-time adjustments to bidding strategy based on estimated demand distribution across sizes.

Market-Making

Advanced agents maintain positions and exploit bid-ask spreads across retail and resale markets.

Temporal Optimization

Agents learn optimal sell windows by analyzing historical price trajectories and market saturation.