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genpark-agentic-commerce-a2m-bargaining-negotiator-skill

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    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to run automated Rubinstein alternating-offers bargaining and multi-item bundle negotiations with merchant gateways, resolving catalog availability and settling through tokenized, spend-bounded payment rails under the Universal Commerce Protocol. Ships as a zero-dependency Python standard library MCP STDIO server.
      7
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to resolve multi-merchant catalogs, negotiate prices via automated alternating-offer bargaining, and execute spend-bounded tokenized payments over UCP and AP2 agentic commerce rails. It also optimizes in-context ad slot allocation and yield for sponsored product placements through a zero-dependency, native MCP STDIO JSON-RPC interface.
      7
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables autonomous multi-turn negotiation by calculating the Zone of Possible Agreement, modeling concession decay curves, enforcing reservation price thresholds, and generating structured bargaining counter-offers. It supports agentic commerce and contract negotiation workflows through a native MCP interface.
      7
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Publishes a zero-dependency, standard-library-only STDIO MCP server that exposes agentic commerce capabilities such as multi-merchant catalog resolution, spend-bounded cryptographic payment delegation, and automated alternating-offers bargaining. It lets agents locally model and test delegation-verified checkout orchestration against UCP/AP2-style protocols without any external packages.
      7
      MIT