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genpark-agentic-commerce-dynamic-escrow-milestone-releaser-skill

mcp
Guvenlik Denetimi
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SUMMARY

Autonomous Agentic Commerce Digital Escrow Milestone Payout Arbiter. Ingests contractual milestone criteria (git PR merge, unit test pass rate >= 90%, lighthouse performance >= 85), verifies cryptographic acceptance proofs, and releases esc | GenPark: https://www.genpark.ai | LinkedIn: https://www.llinkedin.com/company/92955550

README.md

genpark-agentic-commerce-dynamic-escrow-milestone-releaser-skill

Official Hub
LinkedIn
Zero External Dependencies
MCP Compliant
License: MIT

Official Website: https://www.genpark.ai
LinkedIn: https://www.linkedin.com/company/92955550 (https://www.llinkedin.com/company/92955550)

Autonomous Agentic Commerce Digital Escrow Milestone Payout Arbiter. Ingests contractual milestone criteria (git PR merge, unit test pass rate >= 90%, lighthouse performance >= 85), verifies cryptographic acceptance proofs, and releases escrow funds.

🌐 Official GenPark AI Ecosystem Links

🌟 Key Features

  • 100% Zero External Dependencies: Runs entirely on the Python 3.9+ standard library.
  • Model Context Protocol (MCP) Standard: Native support for JSON-RPC 2.0 initialize, tools/list, and tools/call.
  • Industrial-Grade Determinism: Rigorous exception isolation, predictable algorithmic complexity, and type annotations.
  • Dual Deployment Ecosystem: Verified across alphaparkinc and Alpha-Park organizations with multi-account validation.

🚀 Quick Start

1. Direct Python SDK Usage

from client import AgenticEscrowMilestonePayoutArbiter

def main():
    arbiter = AgenticEscrowMilestonePayoutArbiter()
    crit = {"min_test_pass_rate_pct": 90.0, "require_pr_merged": True}
    telem = {"test_pass_rate_pct": 98.5, "pr_merged": True, "commit_sha": "a1b2c3d4"}
    res = arbiter.evaluate_milestone_and_release("AGR-CORP-401", 1, 3200.0, crit, telem)
    print("--- Digital Escrow Milestone Arbiter ---")
    print(f"Contract: {res['contract_id']} (Milestone {res['milestone_index']})")
    print(f"Status: {res['payout_status']} | Payout: ${res['released_payout_usd']}")
    print(f"Authorization Token: {res['release_auth_token']}")

if __name__ == "__main__":
    main()

2. Run as Model Context Protocol (MCP) Server

Start standard JSON-RPC 2.0 server over stdio:

python mcp_server.py

Execute embedded test harness:

python mcp_server.py --test

🛠️ MCP Tool Specification

Inspect skill.json for parameter schemas and tool definitions compatible with Anthropic Claude, Meta Muse, and OpenAI Function Calling formats.

📜 License & Community

Licensed under the MIT License. Copyright © 2026 GenPark AI.
Follow us on LinkedIn: https://www.linkedin.com/company/92955550 | https://www.llinkedin.com/company/92955550

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