Tier 0 (Free): Native operations, cached data, manual inputs
Tier 1 (0.5 credits): Validation, verification, basic lookups
Tier 2 (1-2 credits): Standard enrichments (Apollo, Hunter, Clearbit)
Tier 3 (2-3 credits): Premium data (ZoomInfo, technographics, intent)
Tier 4 (3-5 credits): Enterprise intelligence (PitchBook, custom AI)
Tier 5 (5-10 credits): Specialized services (video generation, deep AI research)

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**3. Smart Waterfalls**
```python
waterfall_sequence = [
    {"provider": "cache", "credits": 0},
    {"provider": "apollo", "credits": 1.5, "stop_if_success": True},
    {"provider": "hunter", "credits": 1.2, "stop_if_success": True},
    {"provider": "bettercontact", "credits": 3, "stop_if_success": True},
    {"provider": "ai_research", "credits": 5, "last_resort": True}
]

Priority: Success rate over cost
Sequence:
  1. BetterContact (aggregates 10+ sources)
  2. ZoomInfo (if enterprise)
  3. Apollo + Hunter + RocketReach
  4. AI web research
Expected Success: 95%+
Average Cost: 8-12 credits

Priority: Good success with reasonable cost
Sequence:
  1. Apollo.io
  2. Hunter (if domain match)
  3. RocketReach (if name match)
  4. Stop or continue based on confidence
Expected Success: 80%
Average Cost: 3-5 credits

Priority: Minimize cost
Sequence:
  1. Cache check
  2. Hunter (domain only)
  3. Free sources (Google, LinkedIn public)
  4. Stop at first result
Expected Success: 60%
Average Cost: 1-2 credits

def calculate_data_quality_score(data, sources):
    score = 0
    
    # Multi-source validation (30 points)
    if len(sources) > 1:
        score += min(len(sources) * 10, 30)
    
    # Data completeness (30 points)
    required_fields = ["email", "phone", "title", "company"]
    score += sum(10 for field in required_fields if data.get(field))
    
    # Verification status (20 points)
    if data.get("email_verified"):
        score += 10
    if data.get("phone_verified"):
        score += 10
    
    # Recency (20 points)
    days_old = get_data_age(data)
    if days_old < 30:
        score += 20
    elif days_old < 90:
        score += 10
    
    return score

undefined

# AI for missing pieces
if not base.get("description"):
    base["description"] = ai_generate_description(company)

# Premium for high-value
if is_enterprise_account(base):
    base.update(zoominfo_enrich(company))

return base

undefined

undefined

# Stage 2: Engaged (opened email)
elif lead.stage == "engaged":
    return standard_enrichment(lead)  # 3-5 credits

# Stage 3: Qualified (booked meeting)
elif lead.stage == "qualified":
    return comprehensive_enrichment(lead)  # 10+ credits

undefined

// JavaScript/Node.js template
const enrichContact = async (name, company) => {
  // Check cache first
  const cached = await checkCache(name, company);
  if (cached) return cached;
  
  // Try providers in sequence
  const providers = ['apollo', 'hunter', 'rocketreach'];
  
  for (const provider of providers) {
    try {
      const result = await callProvider(provider, {name, company});
      if (result.email) {
        await saveToCache(result);
        return result;
      }
    } catch (error) {
      console.log(`${provider} failed, trying next...`);
    }
  }
  
  // Fallback to AI research
  return await aiResearch(name, company);
};