Aerostack
Aerostack

Lead Scorer

AI Endpoint
·Updated Mar 18, 2026

Score 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.

Tags

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Score leads 0-100 based on fit, intent, and budget signals. AI-powered lead qualification with reasoning.

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