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genpark-agentic-commerce-recurring-utility-bill-negotiator-skill

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SUMMARY

AI Agentic Commerce Telecom & Utility Bill Retention Negotiator. Audits monthly broadband and mobile bills, detects out-of-contract price creep and hidden junk fees, and synthesizes high-leverage churn-threat retention negotiation scripts. | GenPark: https://www.genpark.ai | LinkedIn: https://www.llinkedin.com/company/92955550

README.md

genpark-agentic-commerce-recurring-utility-bill-negotiator-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)

AI Agentic Commerce Telecom & Utility Bill Retention Negotiator. Audits monthly broadband and mobile bills, detects out-of-contract price creep and hidden junk fees, and synthesizes high-leverage churn-threat retention negotiation scripts.

🌐 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 AgenticUtilityBillNegotiator

def main():
    negotiator = AgenticUtilityBillNegotiator()
    res = negotiator.audit_and_negotiate_bill("Spectrum Internet", "Ultra 500M", 89.99, contract_end_months_ago=12)
    print("--- Recurring Utility Bill Audit ---")
    print(f"Provider: {res['provider']} | Current: ${res['current_monthly_charge_usd']}/mo")
    print(f"Target: ${res['target_benchmark_rate_usd']}/mo | Potential Savings: ${res['annual_savings_potential_usd']}/yr")
    print(f"Negotiation Script:\n{res['retention_negotiation_script']}")

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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