{
  "workflow": {
    "id": 5421,
    "name": "AI-powered lead enrichment with Explorium MCP & Telegram",
    "views": 763,
    "recentViews": 0,
    "totalViews": 763,
    "createdAt": "2025-06-28T02:07:14.053Z",
    "description": "\n## 🤖 AI-Powered Lead Enrichment with Explorium MCP & Telegram\n\n## Who it's for\n\nSales reps, agencies, and growth teams who want to turn basic company info into qualified leads with automated research . Perfect for B2B prospecting.\n\n## What it does\n\nThis workflow lets you send a company name or domain via Telegram, and instantly returns:\n\n✅ Enriched company profile (industry, size, tech, pain points)\n\n✅ A clean, structured JSON — ready for your CRM or sales tools\nHow it works\n\n💬 Send company info to your Telegram bot\n🔎 Workflow pulls data from Explorium MCP + Tavily\n🧠 AI analyzes model, tools, pain points & goals\n\n📤 JSON response sent back via Telegram or logged to your database\nRequirements\n\n🔐 OpenAI API (GPT-4)\n🧠 Explorium MCP API\n🌐 Tavily Web Search API\n🤖 Telegram Bot API\n🗃️ PostgreSQL (for memory/logging)\nHow to set up\n\nAdd API keys in n8n\nConnect Telegram bot to webhook\nSet up PostgreSQL for memory persistence\nCustomize prompts (tone, niche, etc.)\nTest by sending a company name via Telegram\nCustomization Options\n\n🎯 Focus enrichment on specific industries or keywords\n💬 Adjust the email sequence structure & style\n🧩 Add extra data sources (e.g. Clearbit, Crunchbase)\n🧾 Format JSON to match your CRM schema\n⚙️ Add approval step before sending emails\nHighlights\n\n✅ Uses multi-source enrichment\n✅ Works 100% from Telegram\n✅ Integrates into any sales pipeline\n",
    "workflow": {
      "id": "rsntayaWLO9Ap3sM",
      "meta": {
        "instanceId": "2000c64071c20843606b95c63795bb0797c41036047055a6586498e855b96efc"
      },
      "name": "AI-powered lead enrichment Telegram And Explorium MCP",
      "tags": [],
      "nodes": [
        {
          "id": "27c106c6-24a4-4165-babf-05d1bfffcd7a",
          "name": "AI Lead Enrichment Agent",
          "type": "@n8n/n8n-nodes-langchain.agent",
          "position": [
            -260,
            240
          ],
          "parameters": {
            "text": "={{ $json.message.text }}",
            "options": {
              "systemMessage": "# Elite Lead Enrichment & Email Sequence Generator\n\nYou are the world's premier lead enrichment specialist and cold outreach strategist for DaeX AI. Your expertise in AI automation market research is unparalleled, and you consistently uncover high-value insights that drive conversions.\n\n## Step 1: Collect Lead Information\n\nRequest the following information from the user:\n\n**Required Fields:**\n- Business Name: [Company name]\n- Domain: [Website URL if available]\n- Email: [Any known email address]\n- Contact Name: [Key decision maker if known]\n\n## Step 2: Research Strategy\n\n**Tool Usage:**\n- **MCP Tool**: Primary data gathering using company name\n- **Tavily Tool**: Targeted web searches for specific intelligence\n\n**Search Queries:**\n- \"[Company Name] LinkedIn profile\"\n- \"[Company Name] recent news funding growth\"\n- \"[Contact Name] [Company Name] LinkedIn executive\"\n- \"[Company Name] technology stack automation tools\"\n- \"[Company Name] industry challenges pain points\"\n- \"[Company Name] competitors market position\"\n\n## Step 3: Deep Intelligence Gathering\n\nResearch Focus Areas:\n- Business model, revenue streams, growth initiatives\n- Technology adoption and digital transformation status\n- Market positioning and competitive landscape\n- Recent company news, funding, and social presence\n- Decision maker background, role, and LinkedIn activity\n- Specific automation opportunities in their workflows\n- Industry-specific pain points and challenges\n\n## Step 4: Email Sequence Structure\n\nCreate a strategic 4-email sequence:\n\n**Email 1**: Problem Identification + Soft Introduction\n**Email 2**: Specific Use Case/Automation Opportunity\n**Email 3**: Social Proof + ROI Example\n**Email 4**: Clear CTA with Low-Commitment Next Step\n\n## Step 5: Output Requirements\n\n**CRITICAL**: Output as properly structured JSON with individual key-value pairs. Do NOT wrap everything in a single text field.\n\n```json\n{\n  \"companyName\": \"string\",\n  \"domain\": \"string\",\n  \"industry\": \"string\",\n  \"companySize\": \"string\",\n  \"revenue\": \"string\",\n  \"fundingStage\": \"string\",\n  \"fundingAmount\": \"string\",\n  \"employeeCount\": \"string\",\n  \"headquarters\": \"string\",\n  \"technologies\": [\"tech1\", \"tech2\"],\n  \"linkedinUrl\": \"string\",\n  \"twitterUrl\": \"string\",\n  \"contactName\": \"string\",\n  \"contactTitle\": \"string\",\n  \"contactEmail\": \"string\",\n  \"contactLinkedin\": \"string\",\n  \"leadScore\": \"number (1-100)\",\n  \"priorityLevel\": \"High/Medium/Low\",\n  \"painPoints\": [\"pain1\", \"pain2\"],\n  \"automationOpportunities\": [\"opp1\", \"opp2\"],\n  \"recentCompanyNews\": \"string\",\n  \"competitorAnalysis\": \"string\",\n  \"marketPosition\": \"string\",\n  \"emailSequence\": {\n    \"email1\": {\n      \"subject\": \"string\",\n      \"body\": \"string\",\n      \"callToAction\": \"string\"\n    },\n    \"email2\": {\n      \"subject\": \"string\",\n      \"body\": \"string\",\n      \"callToAction\": \"string\"\n    },\n    \"email3\": {\n      \"subject\": \"string\",\n      \"body\": \"string\",\n      \"callToAction\": \"string\"\n    },\n    \"email4\": {\n      \"subject\": \"string\",\n      \"body\": \"string\",\n      \"callToAction\": \"string\"\n    }\n  },\n  \"recommendedStrategy\": \"string\",\n  \"aiInsights\": \"string\",\n  \"nextSteps\": [\"step1\", \"step2\"],\n  \"followUpTimeline\": \"string\",\n  \"enrichedAt\": \"ISO timestamp\",\n  \"researchSummary\": \"string\",\n  \"automationRecommendations\": [\"rec1\", \"rec2\"]\n}\n```\n\n**Tone Guidelines:**\n- Professional yet conversational\n- Focus on measurable business impact\n- Use industry-specific terminology\n- Emphasize competitive advantage and efficiency\n- Reference specific technologies when identified\n- Maintain authoritative but approachable voice\n\nNow provide the lead information to begin enrichment:\n\n**Business Name:**\n**Domain:**\n**Email:**\n**Contact Name:**"
            },
            "promptType": "define"
          },
          "typeVersion": 2
        },
        {
          "id": "218ba438-70a9-47e5-9998-926dc1a3ff1f",
          "name": "OpenAI GPT-4",
          "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
          "position": [
            -300,
            700
          ],
          "parameters": {
            "model": {
              "__rl": true,
              "mode": "list",
              "value": "gpt-4o"
            },
            "options": {
              "maxTokens": 4000,
              "temperature": 0.3
            }
          },
          "typeVersion": 1.2
        },
        {
          "id": "3a88ee73-7b4f-4907-b1d0-b1fe81b645d4",
          "name": "Explorium B2B Data",
          "type": "@n8n/n8n-nodes-langchain.mcpClientTool",
          "position": [
            640,
            80
          ],
          "parameters": {
            "sseEndpoint": "mcp.explorium.ai/sse",
            "authentication": "headerAuth"
          },
          "typeVersion": 1
        },
        {
          "id": "d6b05d01-1d79-4030-8a1d-e27726ac5567",
          "name": "Research Tools Info",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            420,
            -340
          ],
          "parameters": {
            "color": 4,
            "width": 320,
            "height": 540,
            "content": "## 🔍 Research Tools\n\n**Explorium MCP**: Access to comprehensive B2B database\n- Company information\n- Contact details\n- Firmographic data\n- Technology stack\n\n**Tavily Search**: Real-time web intelligence\n- Recent company news\n- Social media presence\n- Market positioning\n- Competitive analysis\n\n**Usage**: AI agent automatically selects the best tool based on data needs"
          },
          "typeVersion": 1
        },
        {
          "id": "9b1e621c-52e0-496f-b681-f10cbb5da336",
          "name": "AI Engine Info",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -500,
            420
          ],
          "parameters": {
            "color": 7,
            "width": 300,
            "height": 420,
            "content": "## 🧠 AI Engine\n\n**Model**: GPT-4 for superior reasoning\n**Memory**: PostgreSQL for conversation persistence\n**Temperature**: 0.3 for consistent outputs\n\n**Capabilities**:\n- Multi-source data synthesis\n- Industry-specific insights\n- Personalized email generation\n- Lead scoring and prioritization"
          },
          "typeVersion": 1
        },
        {
          "id": "c3fdabc4-fd4f-41e6-be22-0b32073f9229",
          "name": "Tavily Web Intelligence",
          "type": "n8n-nodes-base.httpRequestTool",
          "position": [
            520,
            60
          ],
          "parameters": {
            "url": "https://api.tavily.com/search",
            "method": "POST",
            "options": {},
            "jsonBody": "{\n  \"query\": \"{{ $parameter.query }}\",\n  \"auto_parameters\": true,\n  \"topic\": \"general\",\n  \"search_depth\": \"advanced\",\n  \"chunks_per_source\": 5,\n  \"max_results\": 3,\n  \"include_answer\": true,\n  \"include_raw_content\": true,\n  \"include_images\": false,\n  \"include_domains\": [\"linkedin.com\", \"crunchbase.com\", \"bloomberg.com\"],\n  \"exclude_domains\": [\"pinterest.com\", \"instagram.com\"]\n}",
            "sendBody": true,
            "sendHeaders": true,
            "specifyBody": "json",
            "toolDescription": "Search the web for real-time company intelligence and market data",
            "headerParameters": {
              "parameters": [
                {
                  "name": "Authorization",
                  "value": "Bearer YOUR_TOKEN_HERE"
                },
                {
                  "name": "Content-Type",
                  "value": "application/json"
                }
              ]
            }
          },
          "typeVersion": 4.2
        },
        {
          "id": "54989a4a-9130-4d9e-ad1f-8ac7f8cc2064",
          "name": "Conversation Memory",
          "type": "@n8n/n8n-nodes-langchain.memoryPostgresChat",
          "position": [
            -400,
            740
          ],
          "parameters": {
            "sessionKey": "={{ $json.message.from.id + '_lead_enrichment' }}",
            "sessionIdType": "customKey"
          },
          "typeVersion": 1.3
        },
        {
          "id": "3a9b4ace-9bd2-4a88-8cd6-453a1c4b2d0b",
          "name": "Telegram Input",
          "type": "n8n-nodes-base.telegramTrigger",
          "position": [
            -740,
            260
          ],
          "webhookId": "WEBHOOK_WILL_BE_GENERATED",
          "parameters": {
            "updates": [
              "message"
            ],
            "additionalFields": {}
          },
          "typeVersion": 1.2
        },
        {
          "id": "2502dce6-b351-40a4-bf40-3a83f2fa56ef",
          "name": "Telegram Response",
          "type": "n8n-nodes-base.telegram",
          "position": [
            220,
            240
          ],
          "webhookId": "2b0541b3-c2ba-45a3-a4f8-9cf287ffe86a",
          "parameters": {
            "text": "={{ $json.output }}",
            "chatId": "={{ $item(\"0\").$node[\"Telegram Input\"].json[\"message\"][\"chat\"][\"id\"] }}",
            "additionalFields": {
              "parse_mode": "Markdown",
              "appendAttribution": false
            }
          },
          "typeVersion": 1.2
        },
        {
          "id": "ef8399ba-9702-499f-baa9-01d4fc7db6a6",
          "name": "🚀 Workflow Overview",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -940,
            -40
          ],
          "parameters": {
            "color": 5,
            "width": 400,
            "height": 880,
            "content": "## 🚀 AI Lead Enrichment \n\n### What this workflow does:\n1. **Receives** company info via Telegram\n2. **Researches** using Explorium B2B data + Tavily web search\n3. **Analyzes** business model, tech stack, and pain points\n4.  **Returns** structured JSON with actionable insights\n\n### Perfect for:\n- Sales teams automating prospect research\n- Growth hackers scaling outreach\n- Business development professionals\n- Agencies managing multiple clients\n\n### Setup Requirements:\n- OpenAI API key (GPT-4 recommended)\n- Explorium MCP credentials\n- Tavily API key\n- Telegram Bot token\n- PostgreSQL database\n\n### How to use:\nSend company details to your Telegram bot:\n```\nBusiness Name: Acme Corp\nDomain: acme.com\nContact: John Smith, CEO\n```\n\nGet back comprehensive lead profile "
          },
          "typeVersion": 1
        },
        {
          "id": "8c79237c-0f86-45c9-874f-592d385f06df",
          "name": "⚙️ Setup Guide",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            420,
            340
          ],
          "parameters": {
            "color": 6,
            "width": 300,
            "height": 400,
            "content": "## ⚙️ Configuration Steps\n\n### 1. API Credentials\n- Add OpenAI API key to GPT-4 node\n- Configure Explorium MCP authentication\n- Set Tavily API key in web search node\n- Create Telegram bot and add token\n\n### 2. Database Setup\n- Create PostgreSQL database\n- Configure connection in memory node\n- Tables will be auto-created\n\n### 3. Telegram Bot\n- Create bot via @BotFather\n- Copy token to credential store\n- Webhook auto-configures on activation\n\n### 4. Testing\n- Send test message to bot\n- Verify research tools respond\n- Check JSON output format\n\n### 5. Customization\n- Modify AI prompts for your industry\n- Adjust email templates\n- Add custom research sources"
          },
          "typeVersion": 1
        }
      ],
      "active": false,
      "pinData": {},
      "settings": {
        "executionOrder": "v1"
      },
      "versionId": "72e04d2e-8435-454e-8f42-5bf3bc7a9e06",
      "connections": {
        "OpenAI GPT-4": {
          "ai_languageModel": [
            [
              {
                "node": "AI Lead Enrichment Agent",
                "type": "ai_languageModel",
                "index": 0
              }
            ]
          ]
        },
        "Telegram Input": {
          "main": [
            [
              {
                "node": "AI Lead Enrichment Agent",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Explorium B2B Data": {
          "ai_tool": [
            [
              {
                "node": "AI Lead Enrichment Agent",
                "type": "ai_tool",
                "index": 0
              }
            ]
          ]
        },
        "Conversation Memory": {
          "ai_memory": [
            [
              {
                "node": "AI Lead Enrichment Agent",
                "type": "ai_memory",
                "index": 0
              }
            ]
          ]
        },
        "Tavily Web Intelligence": {
          "ai_tool": [
            [
              {
                "node": "AI Lead Enrichment Agent",
                "type": "ai_tool",
                "index": 0
              }
            ]
          ]
        },
        "AI Lead Enrichment Agent": {
          "main": [
            [
              {
                "node": "Telegram Response",
                "type": "main",
                "index": 0
              }
            ]
          ]
        }
      }
    },
    "lastUpdatedBy": 29,
    "workflowInfo": {
      "nodeCount": 11,
      "nodeTypes": {
        "n8n-nodes-base.telegram": {
          "count": 1
        },
        "n8n-nodes-base.stickyNote": {
          "count": 4
        },
        "@n8n/n8n-nodes-langchain.agent": {
          "count": 1
        },
        "n8n-nodes-base.httpRequestTool": {
          "count": 1
        },
        "n8n-nodes-base.telegramTrigger": {
          "count": 1
        },
        "@n8n/n8n-nodes-langchain.lmChatOpenAi": {
          "count": 1
        },
        "@n8n/n8n-nodes-langchain.mcpClientTool": {
          "count": 1
        },
        "@n8n/n8n-nodes-langchain.memoryPostgresChat": {
          "count": 1
        }
      }
    },
    "status": "published",
    "user": {
      "name": "David Olusola",
      "username": "dae221",
      "bio": "I design enterprise-grade automation systems that eliminate bottlenecks, cut manual work by 70%+, and unlock millions in lost revenue opportunities. My clients — typically achieve 5–10x ROI within the first 90 days. Currently partnering with select high-growth companies ready to scale faster with AI automation.  david@daexai.com",
      "verified": true,
      "links": [
        ""
      ],
      "avatar": "https://gravatar.com/avatar/2abbc4c9e828c54a8d8838beda1382e8e4a66684ef9fa8451dbeb3e72b0c9f9c?r=pg&d=retro&size=200"
    },
    "nodes": [
      {
        "id": 49,
        "icon": "file:telegram.svg",
        "name": "n8n-nodes-base.telegram",
        "codex": {
          "data": {
            "alias": [
              "human",
              "form",
              "wait",
              "hitl",
              "approval"
            ],
            "resources": {
              "generic": [
                {
                  "url": "https://n8n.io/blog/why-business-process-automation-with-n8n-can-change-your-daily-life/",
                  "icon": "🧬",
                  "label": "Why business process automation with n8n can change your daily life"
                },
                {
                  "url": "https://n8n.io/blog/create-a-toxic-language-detector-for-telegram/",
                  "icon": "🤬",
                  "label": "Create a toxic language detector for Telegram in 4 step"
                },
                {
                  "url": "https://n8n.io/blog/automatically-adding-expense-receipts-to-google-sheets-with-telegram-mindee-twilio-and-n8n/",
                  "icon": "🧾",
                  "label": "Automatically Adding Expense Receipts to Google Sheets with Telegram, Mindee, Twilio, and n8n"
                },
                {
                  "url": "https://n8n.io/blog/no-code-ecommerce-workflow-automations/",
                  "icon": "store",
                  "label": "6 e-commerce workflows to power up your Shopify s"
                },
                {
                  "url": "https://n8n.io/blog/world-poetry-day-workflow/",
                  "icon": "📜",
                  "label": "Celebrating World Poetry Day with a daily poem in Telegram"
                },
                {
                  "url": "https://n8n.io/blog/using-automation-to-boost-productivity-in-the-workplace/",
                  "icon": "💪",
                  "label": "Using Automation to Boost Productivity in the Workplace"
                },
                {
                  "url": "https://n8n.io/blog/how-to-set-up-a-ci-cd-pipeline-with-no-code/",
                  "icon": "🎡",
                  "label": "How to set up a no-code CI/CD pipeline with GitHub and TravisCI"
                },
                {
                  "url": "https://n8n.io/blog/creating-scheduled-text-affirmations-with-n8n/",
                  "icon": "🤟",
                  "label": "Creating scheduled text affirmations with n8n"
                },
                {
                  "url": "https://n8n.io/blog/creating-telegram-bots-with-n8n-a-no-code-platform/",
                  "icon": "💬",
                  "label": "Creating Telegram Bots with n8n, a No-Code Platform"
                },
                {
                  "url": "https://n8n.io/blog/aws-workflow-automation/",
                  "label": "7 no-code workflow automations for Amazon Web Services"
                }
              ],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.telegram/"
                }
              ],
              "credentialDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/credentials/telegram/"
                }
              ]
            },
            "categories": [
              "Communication",
              "HITL"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "HITL": [
                "Human in the Loop"
              ]
            }
          }
        },
        "group": "[\"output\"]",
        "defaults": {
          "name": "Telegram"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "Telegram",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 6,
            "name": "Communication"
          },
          {
            "id": 28,
            "name": "HITL"
          }
        ]
      },
      {
        "id": 50,
        "icon": "file:telegram.svg",
        "name": "n8n-nodes-base.telegramTrigger",
        "codex": {
          "data": {
            "resources": {
              "generic": [
                {
                  "url": "https://n8n.io/blog/create-a-toxic-language-detector-for-telegram/",
                  "icon": "🤬",
                  "label": "Create a toxic language detector for Telegram in 4 step"
                },
                {
                  "url": "https://n8n.io/blog/automatically-adding-expense-receipts-to-google-sheets-with-telegram-mindee-twilio-and-n8n/",
                  "icon": "🧾",
                  "label": "Automatically Adding Expense Receipts to Google Sheets with Telegram, Mindee, Twilio, and n8n"
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