Bargain

Bargain Skill

Overview

Bargain implements Game-Theoretic negotiation strategies for the PAI. It optimizes micro-pricing and service terms when interacting with other agents in the market.

Strategic Purpose

To ensure the PAI maximizes revenue and minimizes costs by using advanced bargaining algorithms (anchoring, concession-rigidity) during agent-to-agent transactions.

Tools

• negotiate <target_price> <min_price>: Simulates a negotiation session using Game Theory.
• sovereign_alpha <asset_id>: 1000x Evolution. Executes global arbitrage with an agent swarm and real-time sentiment analysis.
• strategy <mode>: Sets the negotiation strategy (Aggressive, Balanced, Cooperative).
• analyze <market_data>: Analyzes historical price data to find optimal anchoring points.

Use When

• Hiring another agent for micro-tasks.
• Selling PAI services in the Market.
• Negotiating service-level agreements (SLAs) via Counsel.