# Lead Scorer Backend
A backend service to score leads based on product offers using Rule + AI logic.

## Setup Locally
1. Clone repo: git clone <repo-url>
2. Create virtualenv: python3 -m venv venv
3. Activate: source venv/bin/activate
4. Install dependencies: pip install -r requirements.txt
5. Run migrations: python manage.py migrate
6. Start server: python manage.py runserver


## Add Offer
POST /api/offer
{
  "name": "AI Outreach Automation",
  "value_props": ["24/7 outreach", "6x more meetings"],
  "ideal_use_cases": ["B2B SaaS mid-market"]
}

## Upload Leads
POST /api/leads/upload (form-data: file: leads.csv)

## Score Leads
POST /api/score
{
  "offer_id": 1
}

## Get Results
GET /api/results/1
GET /api/results/1?export=csv


## Rule Layer (max 50 points)
- Role relevance: decision maker (+20), influencer (+10), else 0
- Industry match: exact ICP (+20), adjacent (+10), else 0
- Data completeness: all fields present (+10)

## AI Layer (max 50 points)
- Sends lead + offer to AI
- AI returns High/Medium/Low intent
- High=50, Medium=30, Low=10
- Final score = rule_score + ai_points


Base URL: https://your-project-name.onrender.com/api/