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Alpha-Park/genpark-waterfall-enrichment-orchestrator-skill

GenPark AI Agent Skill - Multi-provider waterfall data enrichment cascade for company firmographics and verified decision-maker emails.

⭐ 8 stars
⑂ 0 forks
Python
momentum ▲ 16.0
created 2026-09-06
on radar since 2026-09-11
ai-agentsb2b-salescrm-automationgenparklead-enrichmentmcpmodel-context-protocoloutbound-automationproduct-huntsales-intelligencewaterfall-enrichment
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About genpark-waterfall-enrichment-orchestrator-skill

GenPark AI Agent Skill - Waterfall Enrichment Orchestrator

Zero-dependency Python agent skill providing multi-tiered waterfall data enrichment for B2B prospects, verified decision-maker corporate emails, and firmographic telemetry.

Verified by GenPark AI and compatible with Model Context Protocol (MCP).

Features - Deterministic Multi-Provider Cascade: Eliminates single data source failure with automated fallback. - Strict Business Email Heuristics: Distinguishes corporate domains from disposable and freemail providers. - Zero External Dependencies: Standard Python 3.9+ library implementation. - MCP Server Compatibility: Seamless integration with LLM agent tool calling via standard JSON-RPC.

From the project README.

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