Agent Configuration Basics

Learn how to configure your autonomous agent for optimal performance across different markets.

Key Configuration Parameters

Specify which sneaker models your agent monitors. Select 8-50 models for optimal performance.

Examples: Nike Dunk Low, Jordan 4 Retro, Yeezy 350 V2, New Balance 550

Define shoe sizes to target. Typically US 6-13. Smaller ranges = higher fill rate, larger range = more opportunities.

Examples: US 8-10 (popular), US 6-13 (comprehensive), US 7-9 (high-volume)

Control bidding behavior. Conservative = fewer bids but safer, Aggressive = more attempts but higher gas costs.

Examples: Conservative (low cost), Balanced (recommended), Aggressive (maximum attempts)

High-Volume Strategy

Models: Popular retros (Dunk Low, Jordan 4, Jordan 1)

Pros: Frequent drops, easier to win

Cons: Higher competition

Luxury Strategy

Models: Premium releases (Yeezy, Travis Scott collabs)

Pros: Higher resale premiums

Cons: Rarer opportunities

Diversified Strategy

Models: Mix of 20+ models across categories

Pros: More opportunities, less volatility

Cons: Requires larger deployment

US 6-8

Demand: Low

Avg Premium: High

Fill Rate: High

Limited pool but less competition

US 7-11

Demand: Very High

Avg Premium: Medium

Fill Rate: Medium

Max Bid Price

Upper limit on retail price. Prevents overpaying for opportunities.

Minimum Resale Premium

Minimum expected profit needed to execute bid. Default: 1.2x retail.

Update Frequency

How often agent checks for new opportunities. Faster = more gas cost.

Parallel Bids

Maximum concurrent opportunities. Higher = more chances but higher fees.