Lead Scorer
AI EndpointScore leads 0-100 based on fit, intent, and budget signals. AI-powered lead qualification with reasoning.
0 stars16 deploysv1.0.0
What It Does
Send a lead description — get back a score (0-100), a tier (hot/warm/cold), detailed reasoning, and a recommended next action. Uses HubSpot MCP to pull existing CRM data for context-aware scoring.
Example
Input: "Jane Park, CTO at CloudBase (Series B, 120 employees). Reached out asking about migrating their AI pipeline. Mentioned $50K annual budget approved. Timeline: this quarter."
Output:
{
"score": 91,
"tier": "hot",
"reasoning": "Senior technical decision-maker at a well-funded company. Budget pre-approved and timeline is urgent. AI pipeline migration is a core use case. Strong fit.",
"next_action": "Schedule same-day demo with solutions engineer. Prepare enterprise pricing and migration plan."
}
When To Use This
- Sales pipeline management — auto-score every inbound lead so reps focus on the highest-value prospects first
- Marketing handoff — define the threshold (e.g., 70+) where marketing-qualified leads become sales-qualified
- Reporting — track lead quality trends over time to evaluate which channels generate the best-fit prospects
Metadata
Version1.0.0
TypeAI Endpoint
Categoryextractor
Stars0
Deploys16
What's Included
System Prompt
Structured Output Schema
1 MCP integration
Required MCPs
MCP servers this template connects to.
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Score leads 0-100 based on fit, intent, and budget signals. AI-powered lead qualification with reasoning.