English

Domain 'alive-magenta-ooc8vbsqna-l89gzh3wk5.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'alive-magenta-ooc8vbsqna-l89gzh3wk5'. The second-level label 'edgeone' is 7 characters long holding 4 vowels versus 3 consonants. Word splitting yields 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

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sha256=:8BVXy+/tHBRhbAuCI4PHS/I0wiLM9GmMiwC0nVADDiY=:

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html/7c/4d/7c4d16b7-495a-4d03-8355-5ec34bebe4cd_nodriver.html.gz

Acquiro | Acquisition Intelligence Platform

Prudence Malinki

MarkMonitor Inc.

edgeone.app

Amazon EC2 Abuse

IP Management

Amazon AWS Network Operations

Amazon Data Services Northern Virginia

Amazon EC2 Network Operations

AMAZON-IAD



// ── AI CHAT ──
let aiChatOpen = false;
let aiContext = null; // currently focused company
let aiChatHistory = [];
let currentAIModel = 'gemini'; // 'gemini' or 'claude'



function toggleAIChat() {
  aiChatOpen = !aiChatOpen;
  document.getElementById('ai-chat').classList.toggle('open', aiChatOpen);
  if (aiChatOpen) {
    lucide.createIcons();
    setTimeout(()=>document.getElementById('ai-input').focus(), 200);
  }
}

function setAIContext(lead) {
  aiContext = lead;
  const bar = document.getElementById('ai-context-bar');
  bar.classList.remove('hidden');
  document.getElementById('ai-context-text').textContent = `Discussing: ${lead.company}`;
  // Auto-open chat
  if (!aiChatOpen) toggleAIChat();
  addAIMessage('assistant', `I now have **${lead.company}** in focus. What would you like to know? I can analyse their financials, suggest an approach, or help you prepare for a call.`);
}

function clearAIContext() {
  aiContext = null;
  document.getElementById('ai-context-bar').classList.add('hidden');
}

function sendSuggestion(btn) {
  document.getElementById('ai-input').value = btn.textContent;
  sendAIMessage();
}

function addAIMessage(role, text) {
  const msgs = document.getElementById('ai-messages');
  const div = document.createElement('div');
  div.className = `ai-msg ${role}`;
  const icon = role === 'assistant'
    ? `<div class="ai-msg-icon"><i data-lucide="sparkles" class="icon-xs"></i></div>`
    : `<div class="ai-msg-icon"><i data-lucide="user" class="icon-xs"></i></div>`;
  // Simple markdown: bold
  const formatted = text.replace(/\*\*(.*?)\*\*/g,'<strong>$1</strong>').replace(/\n/g,'<br>');
  div.innerHTML = `${role==='assistant'?icon:''}<div class="ai-msg-bubble">${formatted}</div>${role==='user'?icon:''}`;
  msgs.appendChild(div);
  msgs.scrollTop = msgs.scrollHeight;
  lucide.createIcons();
}

function showTyping() {
  const msgs = document.getElementById('ai-messages');
  const div = document.createElement('div');
  div.className = 'ai-msg assistant';
  div.id = 'ai-typing-indicator';
  div.innerHTML = `<div class="ai-msg-icon"><i data-lucide="sparkles" class="icon-xs"></i></div>
    <div class="ai-msg-bubble ai-typing"><span></span><span></span><span></span></div>`;
  msgs.appendChild(div);
  msgs.scrollTop = msgs.scrollHeight;
  lucide.createIcons();
}

function removeTyping() {
  const el = document.getElementById('ai-typing-indicator');
  if (el) el.remove();
}

function buildPipelineContext() {
  const counts = {NEW:0,FOLLOWUP:0,NOANSWER:0,ARCHIVED:0};
  leads.forEach(l => { if(counts[l.status]!==undefined) counts[l.status]++; });
  // Compact lead data to stay within token limits
  // Top 20 by score for main pipeline
  const topNew = [...leads].filter(l=>l.status==='NEW').sort((a,b)=>b.buyerScore-a.buyerScore).slice(0,20)
    .map(l=>`[NEW] ${l.company} | Buyer:${l.buyerScore}(${l.buyerLabel}) Exit:${l.exitScore}(${l.exitLabel}) Fin:${l.finHealth} Debt:${l.debtLiq} | ${l.sector||'?'} | ${l.owner||'?'} | ${l.turnover||'?'} | ${l.location||'?'}${l.email||l.phone?' | CONTACT:'+[l.email,l.phone].filter(Boolean).join('/'):''}`)    .join('\n');
  const topFollowup = leads.filter(l=>l.status==='FOLLOWUP')
    .map(l=>`[FOLLOWUP] ${l.company} | Buyer:${l.buyerScore}(${l.buyerLabel}) Exit:${l.exitScore}(${l.exitLabel}) | ${l.owner||'?'}${l.notes?' | '+l.notes.substring(0,80):''}`)    .join('\n');
  const allLeadsData = topNew + (topFollowup ? '\n' + topFollowup : '');
  
  // If user asked about a specific company, find and append full data
  const lastUserMsg = aiChatHistory.filter(m=>m.role==='user').slice(-1)[0]?.content||'';
  const mentionedLead = leads.find(l=>lastUserMsg.toLowerCase().includes(l.company.toLowerCase().substring(0,10)));
  const focusedLeadData = (aiContext || mentionedLead) ? (() => {
    const l = aiContext || mentionedLead;
    return `\n\nFULL DATA FOR: ${l.company}\nBuyer Attractiveness: ${l.buyerScore}/10 (${l.buyerLabel}) | Exit Propensity: ${l.exitScore}/10 (${l.exitLabel})\nFinancial Health: ${l.finHealth}/10 | Debt/Liquidity: ${l.debtLiq}/10\nSector: ${l.sector} | Director: ${l.owner}\nEmail: ${l.email||'N/A'} | Phone: ${l.phone||'N/A'} | LinkedIn: ${l.linkedin||'N/A'}\nTurnover: ${l.turnover} | Assets: ${l.assets} | Employees: ${l.employees}\nLocation: ${l.location}\nSummary: ${l.summary||'N/A'}\nCRM Notes: ${l.notes||'None'} | Deal Size: ${l.deal_size?'£'+l.deal_size.toLocaleString():'Not set'}`;
  })() : '';


  const sectors = {};
  leads.forEach(l=>{if(l.sector) sectors[l.sector]=(sectors[l.sector]||0)+1;});
  const sectorSummary = Object.entries(sectors).sort((a,b)=>b[1]-a[1]).slice(0,5)
    .map(([s,c])=>`${s}: ${c}`).join(', ');

  let ctx = `You are BrokerAI, an expert M&A acquisition broker assistant. You are embedded in a CRM dashboard.

PIPELINE OVERVIEW:
- Total leads: ${leads.length}
- Main Pipeline (New): ${counts.NEW}
- Follow-up: ${counts.FOLLOWUP}
- No Answer: ${counts.NOANSWER}
- Rejected: ${counts.ARCHIVED}
- Leads with contact info: ${leads.filter(l=>(l.email||l.phone)).length}
- Top sectors: ${sectorSummary}

ALL PIPELINE LEADS (full Airtable data):
${allLeadsData}

${focusedLeadData}`;

  if (aiContext) {
    ctx += `\n\nCURRENTLY FOCUSED COMPANY:
- Name: ${aiContext.company}
- Buyer Attractiveness: ${aiContext.buyerScore}/10 (${aiContext.buyerLabel})
- Exit Propensity: ${aiContext.exitScore}/10 (${aiContext.exitLabel})
- Financial Health: ${aiContext.finHealth}/10 | Debt/Liquidity: ${aiContext.debtLiq}/10
- Sector: ${aiContext.sector}
- Owner/Director: ${aiContext.owner}
- Email: ${aiContext.email||'N/A'}
- Phone: ${aiContext.phone||'N/A'}
- Turnover: ${aiContext.turnover}
- Location: ${aiContext.location}
- Net Assets: ${aiContext.assets}
- Employees: ${aiContext.employees}
- Broker Summary: ${aiContext.summary||'N/A'}
- CRM Notes: ${aiContext.notes||'None yet'}
- Deal Size Estimate: ${aiContext.deal_size ? '£'+aiContext.deal_size.toLocaleString() : 'Not set'}`;
  }

  ctx += `\n\nRespond concisely and professionally. Use bullet points when listing. Be direct and actionable. You are helping a business acquisition broker prioritise and close deals.`;
  return ctx;
}

async function sendAIMessage() {
  const input = document.getElementById('ai-input');
  const text = input.value.trim();
  if (!text) return;

  // Hide suggestions after first message
  document.getElementById('ai-suggestions').style.display = 'none';

  input.value = '';
  input.style.height = 'auto';
  document.getElementById('ai-send-btn').disabled = true;

  addAIMessage('user', text);
  aiChatHistory.push({ role: 'user', content: text });

  showTyping();

  try {
    const systemPrompt = buildPipelineContext();
    // Gemini 2.0 Flash
    const geminiMessages = aiChatHistory.map(m => ({
      role: m.role === 'assistant' ? 'model' : 'user',
      parts: [{ text: m.content }]
    }));

    // Try models in order until one works
    const MODELS_TO_TRY = [
      'gemini-2.5-flash-preview-05-20',
      'gemini-2.5-flash-preview-04-17',
      'gemini-2.5-flash',
      'gemini-2.5-pro',
      'gemini-1.5-flash',
      'gemini-1.5-pro',
    ];

    let reply = null;
    let lastError = null;

    for (const model of MODELS_TO_TRY) {
      try {
        const response = await fetch(
          `https://generativelanguage.googleapis.com/v1beta/models/${model}:generateContent?key=${GEMINI_KEY}`,
          {
            method: 'POST',
            headers: { 'Content-Type': 'application/json' },
            body: JSON.stringify({
              systemInstruction: { parts: [{ text: systemPrompt }] },
              contents: geminiMessages,
              generationConfig: { maxOutputTokens: 2048, temperature: 0.7 }
            })
          }
        );
        const data = await response.json();
        if (data.error) {
          // Model not available — try next
          lastError = data.error.message;
          console.warn(`Model ${model} failed: ${data.error.message}`);
          continue;
        }
        const text = data.candidates?.[0]?.content?.parts?.[0]?.text;
        if (text) {
          reply = text;
          // Update subtitle to show which model is active
          document.querySelector('.ai-chat-sub').textContent = `Powered by ${model} · Full Airtable access`;
          console.log(`Using model: ${model}`);
          break;
        }
      } catch(fetchErr) {
        lastError = fetchErr.message;
        console.warn(`Model ${model} fetch error:`, fetchErr);
      }
    }

    removeTyping();

    if (!reply) {
      addAIMessage('assistant', `Could not find an available Gemini model. Last error: ${lastError}`);
      document.getElementById('ai-send-btn').disabled = false;
      return;
    }
    aiChatHistory.push({ role: 'assistant', content: reply });
    // Keep history manageable
    if (aiChatHistory.length > 20) aiChatHistory = aiChatHistory.slice(-20);

    addAIMessage('assistant', reply);
  } catch(e) {
    removeTyping();
    addAIMessage('assistant', `Connection error: ${e.message}`);
  }

  document.getElementById('ai-send-btn').disabled = false;
  document.getElementById('ai-input').focus();
}



✅ Low Risk - https://alive-magenta-ooc8vbsqna-l89gzh3wk5.edgeone.app/

Requests	IP Address	Location	AS Autonomous System
6	172.217.20.138	United States	AS15169
2	142.251.127.94	United States	AS14618
2	43.152.26.58	Singapore	AS139341ACE
2	23.20.113.43	Ashburn, Virginia, United States	AS14618Amazon.com, Inc.
2	104.18.1.22	United States	Unknown
14	5	-	-

Security Scan Report: alive-magenta-ooc8vbsqna-l89gzh3wk5.edgeone.app

Summary

AI Security Verdict

Safe Website

Safety Factors

Details

Screenshot

Page Load Overview

Language Analysis

Primary Language

Detection Details

Website Classification

Primary Category

All Detected Categories

Detected Features

Domain & IP Information

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

ssdeep (Context Triggered Piecewise Hashing)

sdhash (Similarity Digest Hashing)

Image Hashes

Perceptual Hashes

Other Hashes

Scan History