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Alpha-Park/genpark-usage-based-billing-metering-engine-skill

Real-time usage event ingestion, multi-tier metric aggregation, and precise invoice calculation engine inspired by Metronome

⭐ 7 stars
⑂ 0 forks
Python
momentum ▲ 35.0
created 2026-09-24
on radar since 2026-09-25
agent-skillsai-agentmcpmcp-servermetering-enginemodel-context-protocolpricing-iterationpythonrevenue-intelligenceusage-based-billingzero-dependency
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About genpark-usage-based-billing-metering-engine-skill

genpark-usage-based-billing-metering-engine-skill

Production-Grade Autonomous Agent Skill • 100% Standard Library Python • Native Model Context Protocol (MCP)

🌐 GenPark MCP Hub Showcase • 📦 Official Website • 📖 Documentation

genpark-usage-based-billing-metering-engine-skill is a deterministic, zero-dependency Python skill engineered with 100% production-grade functional parity for autonomous agent workflows, usage-based billing metering, and pricing model iteration.

Executive Capability: Real-time usage event ingestion, multi-tier metric aggregation, and precise invoice calculation engine inspired by Metronome

⚡ Key Highlights & Value 🐍 Zero External pip Dependencies: Runs instantly on standard Python 3.9+ with zero environment bloat. 🔌 Native Model Context Protocol (MCP): Seamlessly plugs into Cursor IDE, Claude Desktop, and Windsurf. 🎯 100% Production-Grade Dynamic Execution: Real metering math, robust pricing elasticity scoring, and deterministic billing outputs without static placeholders. 🚀 Low Latency & High Reliability: Sub-millisecond execution overhead tailored for high-concurrency production billing agents.

Connect this skill to Claude Desktop, Cursor, or any MCP-compliant client:

Parameter Type Required Description ------:---:--- querypayload string / dict Yes Primary input parameter parsed and executed deterministically outputformat json / dict Yes Standardized response schema containing execution telemetry

From the project README.

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