Best Meet Alfred Phone Validation API & LinkedIn Email Outreach Integration 2025

// Meet Alfred webhook validation setup
const validateMeetAlfredCampaign = async (campaignData) => {
  const validatedContacts = [];
  
  for (const contact of campaignData.contacts) {
    try {
      // Multi-channel validation for Meet Alfred campaigns
      const validation = await fetch('https://app.1lookup.io/api/v1/meet-alfred/validate', {
        method: 'POST',
        headers: {
          'Authorization': 'Bearer YOUR_API_KEY',
          'Content-Type': 'application/json'
        },
        body: JSON.stringify({
          linkedin_url: contact.linkedinUrl,
          email: contact.email,
          phone: contact.phone,
          company: contact.company,
          campaign_type: 'multichannel',
          validation_depth: 'comprehensive'
        })
      });
      
      const result = await validation.json();
      
      if (result.data.overall_score >= 80 && result.data.multichannel_safe) {
        validatedContacts.push({
          ...contact,
          validation_score: result.data.overall_score,
          channel_recommendations: result.data.optimal_channels,
          sequence_suggestions: result.data.sequence_optimization,
          timing_recommendations: result.data.optimal_timing,
          personalization_data: result.data.personalization_hooks
        });
      }
      
      // Meet Alfred compliant delay
      await new Promise(resolve => setTimeout(resolve, 600));
      
    } catch (error) {
      console.error('Meet Alfred validation error:', error);
    }
  }
  
  return validatedContacts;
};

// Meet Alfred campaign optimization with validation
class MeetAlfredValidator {
  constructor(apiKey) {
    this.apiKey = apiKey;
    this.baseUrl = 'https://app.1lookup.io/api/v1';
    this.multichannel_threshold = 80;
  }

  async optimizeMeetAlfredCampaign(campaignConfig) {
    const optimizedCampaign = {
      linkedin_priority: [],
      email_priority: [],
      multichannel_sequence: [],
      high_value_prospects: [],
      excluded_contacts: []
    };

    for (const contact of campaignConfig.contacts) {
      const validation = await this.comprehensiveValidation(contact);
      
      // Categorize based on validation results
      if (validation.overall_score >= 90) {
        optimizedCampaign.high_value_prospects.push({
          ...contact,
          validation: validation,
          strategy: 'premium_sequence'
        });
      } else if (validation.linkedin_score >= 85 && validation.email_score >= 85) {
        optimizedCampaign.multichannel_sequence.push({
          ...contact,
          validation: validation,
          strategy: 'coordinated_multichannel'
        });
      } else if (validation.linkedin_score >= 80) {
        optimizedCampaign.linkedin_priority.push({
          ...contact,
          validation: validation,
          strategy: 'linkedin_focused'
        });
      } else if (validation.email_score >= 80) {
        optimizedCampaign.email_priority.push({
          ...contact,
          validation: validation,
          strategy: 'email_focused'
        });
      } else {
        optimizedCampaign.excluded_contacts.push(contact);
      }
      
      // Rate limiting for platform compliance
      await new Promise(resolve => setTimeout(resolve, 800));
    }

    return this.generateOptimizedSequences(optimizedCampaign);
  }

  async comprehensiveValidation(contact) {
    const response = await fetch(`${this.baseUrl}/meet-alfred/comprehensive`, {
      method: 'POST',
      headers: {
        'Authorization': `Bearer ${this.apiKey}`,
        'Content-Type': 'application/json'
      },
      body: JSON.stringify({
        contact: contact,
        platform: 'meet-alfred',
        analysis_type: 'multichannel'
      })
    });

    const result = await response.json();
    
    return {
      overall_score: result.data.composite_score,
      linkedin_score: result.data.linkedin_validation.score,
      email_score: result.data.email_validation.score,
      phone_score: result.data.phone_validation.score,
      personalization_hooks: result.data.personalization_data,
      optimal_timing: result.data.timing_recommendations,
      risk_assessment: result.data.compliance_analysis
    };
  }

  generateOptimizedSequences(campaign) {
    // Generate specific sequences for each category
    campaign.multichannel_sequence = campaign.multichannel_sequence.map(contact => ({
      ...contact,
      sequence: [
        { step: 1, channel: 'linkedin', action: 'connection_request', delay: 0 },
        { step: 2, channel: 'email', action: 'introduction_email', delay: 2 },
        { step: 3, channel: 'linkedin', action: 'follow_up_message', delay: 5 },
        { step: 4, channel: 'email', action: 'value_proposition', delay: 8 }
      ]
    }));

    return campaign;
  }
}

// Advanced multichannel coordination for Meet Alfred
const optimizeMultichannelStrategy = async (contacts) => {
  const channelStrategies = {
    premium_multichannel: {
      sequence: [
        { day: 0, channel: 'linkedin', action: 'personalized_connection' },
        { day: 1, channel: 'email', action: 'value_introduction' },
        { day: 4, channel: 'linkedin', action: 'engagement_follow_up' },
        { day: 7, channel: 'email', action: 'case_study_share' },
        { day: 12, channel: 'phone', action: 'direct_call' }
      ],
      criteria: { overall_score: '>=90', both_channels_valid: true }
    },
    linkedin_primary: {
      sequence: [
        { day: 0, channel: 'linkedin', action: 'connection_request' },
        { day: 3, channel: 'linkedin', action: 'introduction_message' },
        { day: 7, channel: 'linkedin', action: 'value_follow_up' },
        { day: 14, channel: 'email', action: 'backup_outreach' }
      ],
      criteria: { linkedin_score: '>=80', linkedin_active: true }
    },
    email_focused: {
      sequence: [
        { day: 0, channel: 'email', action: 'introduction_email' },
        { day: 3, channel: 'email', action: 'follow_up_value' },
        { day: 7, channel: 'email', action: 'social_proof' },
        { day: 12, channel: 'linkedin', action: 'connection_attempt' }
      ],
      criteria: { email_score: '>=80', email_deliverable: true }
    }
  };

  const strategizedContacts = [];

  for (const contact of contacts) {
    const channelAnalysis = await analyzeChannelEffectiveness(contact);
    const selectedStrategy = selectOptimalStrategy(channelAnalysis, channelStrategies);
    
    strategizedContacts.push({
      ...contact,
      strategy: selectedStrategy,
      channel_scores: channelAnalysis,
      personalization: await generatePersonalization(contact, channelAnalysis),
      timing_optimization: calculateOptimalTiming(channelAnalysis)
    });
  }

  return strategizedContacts;
};

const analyzeChannelEffectiveness = async (contact) => {
  const analysis = await fetch('https://app.1lookup.io/api/v1/channel-effectiveness', {
    method: 'POST',
    headers: {
      'Authorization': 'Bearer YOUR_API_KEY',
      'Content-Type': 'application/json'
    },
    body: JSON.stringify({
      linkedin_profile: contact.linkedinUrl,
      email: contact.email,
      phone: contact.phone,
      industry: contact.industry,
      seniority: contact.seniority,
      company_size: contact.companySize
    })
  });

  const result = await analysis.json();
  
  return {
    linkedin_effectiveness: result.data.linkedin_channel.effectiveness_score,
    email_effectiveness: result.data.email_channel.effectiveness_score,
    phone_effectiveness: result.data.phone_channel.effectiveness_score,
    best_initial_channel: result.data.recommended_first_contact,
    response_probability: result.data.overall_response_likelihood,
    optimal_sequence_timing: result.data.timing_recommendations
  };
};

const generatePersonalization = async (contact, channelAnalysis) => {
  return {
    linkedin_hooks: [
      `Noticed your recent post about ${contact.recentActivity}`,
      `Fellow ${contact.industry} professional here`,
      `Impressed by ${contact.company}'s growth`
    ],
    email_hooks: [
      `Subject: Quick question about ${contact.company}'s ${contact.focus_area}`,
      `Subject: ${contact.name}, thought you'd find this interesting`,
      `Subject: ${contact.company} + ${yourCompany} collaboration idea`
    ],
    value_propositions: generateValueProps(contact, channelAnalysis),
    call_to_actions: generateCTAs(channelAnalysis.response_probability)
  };
};