GenPark AI Agent Skill - Time-decayed multi-signal buying intent scorer for predictive B2B account outbound qualification.
GenPark AI Agent Skill - Intent Signal Propensity Scorer
Calculates predictive B2B outbound buying propensity scores by aggregating time-decayed hiring signals, venture funding injections, and technographic stack shifts.
Verified by GenPark AI and compatible with Model Context Protocol (MCP).
Features - Exponential Half-Life Decay: Naturally depreciates outdated signals while prioritizing high-velocity recent catalysts. - Deterministic Categorization: Assigns precise outbound actions based on quantitative score boundaries. - Zero Third-Party Dependencies: Pure Python standard library implementation. - Ready for MCP Agent Swarms: Enables autonomous GTM agents to prioritize target accounts.
From the project README.
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GenPark AI Agent Skill - Time-decayed multi-signal buying intent scorer for predictive B2B account outbound qualification.
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