アカウントごとの完全へ達 automatique（自動化）で Octave コンテキストエンジンを搭載

• •HTTP Webhookエンドポイント（n8nが自動生成）
• •ターゲットAPIの認証情報が必要な場合あり
• •Anthropic API Key

{
  "name": "Complete account-based outreach automation with Octave context engine",
  "tags": [],
  "nodes": [
    {
      "id": "sticky-note-main",
      "name": "付箋 - メイン概要",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        600,
        -750
      ],
      "parameters": {
        "color": 1,
        "width": 450,
        "height": 520,
        "content": "🎯 COMPLETE ACCOUNT-BASED OUTREACH PIPELINE\n\nFOR: Revenue teams, ABM professionals, growth\noperators ready for integrated, context-aware GTM.\n\nSOLVES: Disconnected tools that lose context at\neach step. Octave centralizes typically fragmented\ncontext (ICP, personas, value props) so all agents\noperate from the same unified market understanding.\n\nWORKS:\n1. Webhook receives account data\n2. External research gathers context\n3. Company qualification filters accounts\n4. Prospector finds relevant contacts\n5. Split contacts for individual processing\n6. Generate contextualized sequences\n7. Deploy to email campaigns\n\nSETUP: Account input + external data source +\nOctave agents (qualify, prospect, sequence) +\nemail platform credentials\n\nCUSTOMIZE: Replace research source, configure\nqualification criteria, set prospecting personas,\nadjust runtime context integration."
      },
      "typeVersion": 1
    },
    {
      "id": "sticky-note-webhook",
      "name": "付箋 - アカウント入力",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        40,
        -150
      ],
      "parameters": {
        "color": 2,
        "width": 180,
        "height": 100,
        "content": "🚀 ACCOUNT INPUT\nWebhook for accounts.\nReplace with your source."
      },
      "typeVersion": 1
    },
    {
      "id": "sticky-note-research",
      "name": "付箋 - コンテキストリサーチ",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        240,
        -150
      ],
      "parameters": {
        "color": 4,
        "width": 180,
        "height": 100,
        "content": "🔍 CONTEXT RESEARCH\nExternal data gathering.\nReplace with data source."
      },
      "typeVersion": 1
    },
    {
      "id": "sticky-note-qualify",
      "name": "付箋 - 企業の kwalifikacji",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        640,
        -150
      ],
      "parameters": {
        "color": 5,
        "width": 180,
        "height": 100,
        "content": "🏢 COMPANY QUALIFICATION\nProduct + Segment fit.\nConfigure agent ID."
      },
      "typeVersion": 1
    },
    {
      "id": "sticky-note-filter",
      "name": "付箋 - フィルター",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        840,
        -150
      ],
      "parameters": {
        "color": 3,
        "width": 180,
        "height": 100,
        "content": "🔍 FILTER\nRemoves low scores.\nAdjust threshold."
      },
      "typeVersion": 1
    },
    {
      "id": "sticky-note-prospector",
      "name": "付箋 - プロスペクター",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1040,
        -150
      ],
      "parameters": {
        "color": 6,
        "width": 180,
        "height": 100,
        "content": "👥 PROSPECTOR\nFind relevant contacts.\nConfigure personas."
      },
      "typeVersion": 1
    },
    {
      "id": "sticky-note-split",
      "name": "付箋 - コンタクトの分割",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1240,
        -150
      ],
      "parameters": {
        "color": 2,
        "width": 180,
        "height": 100,
        "content": "📋 SPLIT CONTACTS\nIndividual processing.\nHandles multiple contacts."
      },
      "typeVersion": 1
    },
    {
      "id": "sticky-note-sequence",
      "name": "付箋 - シーケンス生成",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1440,
        -150
      ],
      "parameters": {
        "color": 4,
        "width": 180,
        "height": 100,
        "content": "⚡ RUNTIME SEQUENCES\nContext + personalization.\nConfigure agent ID."
      },
      "typeVersion": 1
    },
    {
      "id": "sticky-note-deploy",
      "name": "付箋 - キャンペーン展開",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1640,
        -150
      ],
      "parameters": {
        "color": 5,
        "width": 180,
        "height": 100,
        "content": "📧 CAMPAIGN DEPLOY\nAutomated outreach.\nUpdate platform & ID."
      },
      "typeVersion": 1
    },
    {
      "id": "sticky-note-llm",
      "name": "付箋 - LLMモデル",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        140,
        -300
      ],
      "parameters": {
        "color": 3,
        "width": 180,
        "height": 100,
        "content": "🧠 LLM MODEL\nContext processing.\nOptional for testing."
      },
      "typeVersion": 1
    },
    {
      "id": "14bf51ef-8396-41e5-955d-47c6e1098ae6",
      "name": "Account Data Webhook",
      "type": "n8n-nodes-base.webhook",
      "position": [
        120,
        0
      ],
      "webhookId": "your-webhook-id-here",
      "parameters": {
        "path": "your-webhook-path-here",
        "options": {}
      },
      "typeVersion": 2
    },
    {
      "id": "531d7403-6ea3-4ff9-82a5-43ca23058519",
      "name": "外部コンテキストのリサーチ",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        320,
        0
      ],
      "parameters": {
        "text": "=Output the name of an open role that {{ $json.body.companyDomain }} is hiring for. If you can't find a role they are hiring for, make up a basic one that would make sense for them to hire for. Normalize the job title to something that would be used in an internal email (i.e \"software engineer\" instead of \"Sr. Software Engineer II\"). Output just the name of the role and nothing else, with no pretext or posttext. Do NOT make any justification if you can't find a role, just give a dummy role and nothing else. No \"I wasn't able to find...\" BS.",
        "options": {},
        "promptType": "define"
      },
      "typeVersion": 2.1
    },
    {
      "id": "57ef7b44-6c4f-4712-9ca3-32681ca974a7",
      "name": "LLMモデル",
      "type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
      "position": [
        220,
        200
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "your-llm-model",
          "cachedResultName": "Your LLM Model"
        },
        "options": {}
      },
      "credentials": {
        "anthropicApi": {
          "name": "Your LLM API Credentials"
        }
      },
      "typeVersion": 1.3
    },
    {
      "id": "6a3a0248-24fc-4060-9525-3a40b5b5fcfe",
      "name": "Octaveで企業を kwalifikacji",
      "type": "n8n-nodes-octavehq.octave",
      "position": [
        720,
        0
      ],
      "parameters": {
        "agentOId": "your-octave-company-qualification-agent-id",
        "operation": "qualifyCompany",
        "companyName": "={{ $('Account Data Webhook').item.json.body.companyName }}",
        "companyDomain": "={{ $('Account Data Webhook').item.json.body.companyDomain }}",
        "runtimeContext": ""
      },
      "credentials": {
        "octaveApi": {
          "name": "Octave API Credentials"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "779f6a70-90e7-4f5d-b5a1-706001d4bf86",
      "name": "kwalifikacji済み企業のフィルタリング",
      "type": "n8n-nodes-base.filter",
      "position": [
        920,
        0
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "a28bb3f4-fb9c-4fb8-985e-9a4cd45be865",
              "operator": {
                "type": "number",
                "operation": "gt"
              },
              "leftValue": "={{ $json.score }}",
              "rightValue": 1
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "f93081d6-d31f-4367-b80c-db3657d9c71d",
      "name": "関連コンタクトの特定",
      "type": "n8n-nodes-octavehq.octave",
      "position": [
        1120,
        0
      ],
      "parameters": {
        "agentOId": "your-octave-prospector-agent-id",
        "operation": "runProspector",
        "companyDomain": "={{ $json.company.domain }}"
      },
      "credentials": {
        "octaveApi": {
          "name": "Octave API Credentials"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "afd4f2df-07d8-4176-9dbd-023ca62999f8",
      "name": "処理のためのコンタクト分割",
      "type": "n8n-nodes-base.splitOut",
      "position": [
        1320,
        0
      ],
      "parameters": {
        "options": {},
        "fieldToSplitOut": "contacts"
      },
      "typeVersion": 1
    },
    {
      "id": "87d07490-c82e-4d6c-9f71-b2e543925949",
      "name": "コンテキスト化シーケンスの生成",
      "type": "n8n-nodes-octavehq.octave",
      "position": [
        1520,
        0
      ],
      "parameters": {
        "agentOId": "your-octave-sequence-agent-id",
        "jobTitle": "={{ $json.contact.title }}",
        "firstName": "={{ $json.contact.firstName }}",
        "operation": "runSequence",
        "companyName": "={{ $json.contact.companyName }}",
        "companyDomain": "={{ $json.contact.companyDomain }}",
        "linkedInProfile": "={{ $json.contact.profileUrl }}",
        "runtimeContextStep1": "=they are hiring a {{ $('Research External Context').item.json.output }}",
        "runtimeInstructionsStep1": "mention the role they're hiring for and tie it into why you are reaching out"
      },
      "credentials": {
        "octaveApi": {
          "name": "Octave API Credentials"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "90e13ffe-5012-42bb-b9eb-0e4574abd5fc",
      "name": "Eメールキャンペーンへ展開",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1720,
        0
      ],
      "parameters": {
        "url": "https://api.instantly.ai/api/v2/leads",
        "method": "POST",
        "options": {},
        "sendBody": true,
        "sendHeaders": true,
        "authentication": "genericCredentialType",
        "bodyParameters": {
          "parameters": [
            {
              "name": "campaign",
              "value": "your-campaign-id-here"
            },
            {
              "name": "email",
              "value": "={{ $('Split Contacts for Processing').item.json.contact.email || 'demo_' + $('Split Contacts for Processing').item.json.contact.slug + '@example.com' }}"
            },
            {
              "name": "first_name",
              "value": "={{ $('Split Contacts for Processing').item.json.contact.firstName }}"
            },
            {
              "name": "last_name",
              "value": "={{ $('Split Contacts for Processing').item.json.contact.lastName }}"
            },
            {
              "name": "company_name",
              "value": "={{ $('Split Contacts for Processing').item.json.contact.companyName }}"
            },
            {
              "name": "custom_variables",
              "value": "={{ { \"email1\": $json.emails[0].email || \"\", \"subject1\": $json.emails[0].subject || \"\", \"email2\": $json.emails[1].email || \"\", \"subject2\": $json.emails[1].subject || \"\", \"email3\": $json.emails[2].email || \"\", \"subject3\": $json.emails[2].subject || \"\" } }}"
            }
          ]
        },
        "genericAuthType": "httpBearerAuth",
        "headerParameters": {
          "parameters": [
            {
              "name": "Content-Type",
              "value": "application/json"
            }
          ]
        }
      },
      "credentials": {
        "httpBearerAuth": {
          "name": "Email Platform API Key"
        }
      },
      "typeVersion": 4.2
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "connections": {
    "57ef7b44-6c4f-4712-9ca3-32681ca974a7": {
      "ai_languageModel": [
        [
          {
            "node": "531d7403-6ea3-4ff9-82a5-43ca23058519",
            "type": "ai_languageModel",
            "index": 0
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      "main": [
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}