Lead Scoring & Qualification Pipeline
AI-powered lead scoring system that enriches, qualifies, and prioritizes inbound leads using multi-agent analysis of firmographic and behavioral data.
🎯 Buy once, deploy on any framework
Includes implementations for CrewAI. One purchase — all platforms.
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- ✓ All 1 platform implementations
- ✓ Full source code & documentation
- ✓ Commercial license included
- ✓ 30-day money-back guarantee
- ✓ Free updates for 1 year
- ✓ 30-day email support
Choose Your Platform
One purchase includes all 1 implementations. Deploy on whichever framework fits your stack.
CrewAI
CrewAI crew with 4 specialized agents and production-ready tools.
Included in CrewAI version
- ✓crew.py with 4 agents
- ✓Custom tools
- ✓Config templates
- ✓Deployment guide
⚡ Why OpenClaw?
One-click install, automatic orchestration, built-in cron scheduling, and memory integration. Other platforms require manual setup — OpenClaw gets you to production in minutes.
Code Preview — CrewAI
from crewai import Agent, Crew
enricher = Agent(role='Lead Data Enricher', goal='Enrich leads with firmographic data', tools=[apollo_api, clearbit])
fit_analyzer = Agent(role='ICP Fit Analyst', goal='Score lead fit against ICP', tools=[icp_scorer])
scoring_crew = Crew(agents=[enricher, fit_analyzer, intent_scorer, router], process=Process.sequential)Agent Architecture
How the 4 agents work together
Your data, triggers, or requests
Data Enricher
Contact & Company Data Enrichment
Enriches raw lead data with company size, industry, tech stack, funding, and contact details.
Fit Analyzer
ICP Scoring & Analysis
Scores each lead against your Ideal Customer Profile criteria.
Intent Scorer
Behavioral Intent Analysis
Analyzes behavioral signals — website visits, content downloads, email opens.
Priority Router
Lead Routing & Assignment
Routes qualified leads to the right sales rep based on territory and capacity.
Structured results, reports, and actions
What's Included
Everything you get with this template
The Problem
Inbound leads pile up and SDRs waste hours researching leads that never convert. Without systematic scoring, hot leads go cold while reps chase unqualified prospects.
The Solution
A 4-agent pipeline that automatically enriches lead data, scores against your ICP, analyzes behavioral intent, and routes qualified leads to the right rep — in seconds instead of hours.
Tools You'll Need
Everything required to build this 4-agent system — click any tool for details
Agent orchestration for the scoring pipeline
LLM provider for analysis and scoring
Lead and company data enrichment
Additional firmographic enrichment
CRM integration for lead routing
Scoring history and analytics database
Agent tracing and monitoring
Implementation Guide
8 steps to build this system • 2-3 hours estimated
📋 Prerequisites
Define your ICP scoring rubric
Map the 8-12 factors that define your best customers with weights for each factor.
Set up lead enrichment connectors
Wire Apollo.io and/or Clearbit APIs for automatic data enrichment.
Build the ICP scoring engine
Implement scoring that evaluates enriched data against your rubric with threshold levels.
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Code Preview
Sample agent setup — see platform-specific previews above
from crewai import Agent, Crew
enricher = Agent(role='Lead Data Enricher', goal='Enrich leads with firmographic data', tools=[apollo_api, clearbit])
fit_analyzer = Agent(role='ICP Fit Analyst', goal='Score lead fit against ICP', tools=[icp_scorer])
scoring_crew = Crew(agents=[enricher, fit_analyzer, intent_scorer, router], process=Process.sequential)Example Input & Output
See what goes in and what comes out
{"lead": {"name": "Sarah Chen", "email": "sarah@techcorp.io", "company": "TechCorp"}}{"score": 0.87, "fit": "strong", "intent": "high", "route": "enterprise-team"}Requirements
Reviews
What builders are saying
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Frequently Asked Questions
Do I get all platform implementations?+
Yes — one purchase includes all platform implementations.
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