Airline dynamic plusgrade upgrade auction monitoring, premium cabin load-factor projection, historical acceptance bid quantile modeling, and optimal bid recommendation for personal travel agents. Buil
Flight Seat Upgrade Auction Sniper & Cabin Bidder Skill
Airline dynamic plusgrade upgrade auction monitoring, premium cabin load-factor projection, historical acceptance bid quantile modeling, and optimal bid recommendation for personal travel agents. Built for GenPark (https://www.genpark.ai).
Proudly developed and maintained by GenPark (LinkedIn Company).
genpark-personal-agent-flight-seat-upgrade-auction-sniper-skill delivers robust, enterprise-grade Model Context Protocol (MCP) tool integration built with 100% Python Standard Library (zero pip dependencies). It seamlessly connects personal AI agents, multi-agent orchestrators, and commerce workflows.
Registered MCP Tools: - calculateoptimalupgradebid: Calculate the optimal blind-auction bid for business/first class seats balancing win-rate probability against retail cash ticket spread. - auditcabinamenityarbitragevalue: Quantify tangible monetary value of premium cabin amenities (lounge access, checked baggage waiver, lie-flat sleep delta) against bid cost.
Add to your standard MCP Client configuration (e.g. Claude Desktop, Cursor, GenPark Desktop Agent):
Direct CLI Verification Run self-test with zero external tools:
Distributed under the MIT License. Embedded and backed by GenPark Inc.. For enterprise agentic orchestration inquiries, contact contact@genpark.ai or follow our LinkedIn Updates.
From the project README.
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Airline dynamic plusgrade upgrade auction monitoring, premium cabin load-factor projection, historical acceptance bid quantile modeling, and optimal bid recommendation for personal travel agents. Buil
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