{
  "workflow": {
    "id": 12092,
    "name": "Automate investment risk monitoring with Qwen-Max AI, Slack & email alerts",
    "views": 82,
    "recentViews": 3,
    "totalViews": 82,
    "createdAt": "2025-12-24T07:11:08.862Z",
    "description": "## How It Works\nAutomates financial risk evaluation by intelligently consolidating information from five critical sources: financial, operational, legal, insurance, and regulatory systems. Hourly triggers enable continuous, AI-driven risk assessment using the OpenRouter Chat Model, producing dynamic risk scores while simultaneously identifying emerging compliance gaps and potential exposure areas. High-risk findings automatically initiate corrective actions, trigger secondary investigations, and send real-time alerts through Slack notifications as well as investor email updates. Designed for financial institutions, compliance teams, risk managers, and investment firms, it provides continuous, scalable, and fully data-driven monitoring of risk across complex regulatory and operational environments.\n\n## Setup Steps\n1. Configure hourly/daily schedule trigger. \n2. Authenticate all five data APIs. \n3. Set OpenRouter credentials. \n4. Configure Slack webhook. \n5. Set Gmail for email distribution. \n6. Define risk thresholds and compliance rules.\n\n## Prerequisites\nOpenRouter API key, five data source APIs, Slack access, Gmail account, investor contacts \n\n## Use Cases\nBanking risk audits, insurance compliance monitoring, portfolio risk tracking \n\n## Customization\nSwap AI models, modify data sources, adjust thresholds \n\n## Benefits\n90% faster risk assessment, eliminates manual aggregation ",
    "workflow": {
      "id": "GucZHJuMgQFWIX3W",
      "meta": {
        "instanceId": "b91e510ebae4127f953fd2f5f8d40d58ca1e71c746d4500c12ae86aad04c1502",
        "templateCredsSetupCompleted": true
      },
      "name": "AI Qwen-Max Investor Portfolio Risk & Compliance Dashboard",
      "tags": [],
      "nodes": [
        {
          "id": "26bb315e-bf10-4202-9e9f-02529aea4abd",
          "name": "Schedule Trigger",
          "type": "n8n-nodes-base.scheduleTrigger",
          "position": [
            -928,
            400
          ],
          "parameters": {
            "rule": {
              "interval": [
                {
                  "triggerAtHour": 6
                }
              ]
            }
          },
          "typeVersion": 1.3
        },
        {
          "id": "a946902a-a034-4d5d-a036-14d3f72b16e3",
          "name": "Workflow Configuration",
          "type": "n8n-nodes-base.set",
          "position": [
            -704,
            400
          ],
          "parameters": {
            "options": {},
            "assignments": {
              "assignments": [
                {
                  "id": "id-1",
                  "name": "financialApiUrl",
                  "type": "string",
                  "value": "<__PLACEHOLDER_VALUE__Financial Data API Endpoint URL__>"
                },
                {
                  "id": "id-2",
                  "name": "operationalApiUrl",
                  "type": "string",
                  "value": "<__PLACEHOLDER_VALUE__Operational Data API Endpoint URL__>"
                },
                {
                  "id": "id-3",
                  "name": "legalApiUrl",
                  "type": "string",
                  "value": "<__PLACEHOLDER_VALUE__Legal Data API Endpoint URL__>"
                },
                {
                  "id": "id-4",
                  "name": "insuranceApiUrl",
                  "type": "string",
                  "value": "<__PLACEHOLDER_VALUE__Insurance Data API Endpoint URL__>"
                },
                {
                  "id": "id-5",
                  "name": "regulatoryApiUrl",
                  "type": "string",
                  "value": "<__PLACEHOLDER_VALUE__Regulatory Data API Endpoint URL__>"
                },
                {
                  "id": "id-6",
                  "name": "correctionWorkflowUrl",
                  "type": "string",
                  "value": "<__PLACEHOLDER_VALUE__Correction Workflow Webhook URL__>"
                },
                {
                  "id": "id-7",
                  "name": "investorEmails",
                  "type": "string",
                  "value": "<__PLACEHOLDER_VALUE__Comma-separated investor email addresses__>"
                },
                {
                  "id": "id-8",
                  "name": "slackChannel",
                  "type": "string",
                  "value": "<__PLACEHOLDER_VALUE__Slack channel ID for alerts__>"
                },
                {
                  "id": "id-9",
                  "name": "riskThreshold",
                  "type": "number",
                  "value": 70
                }
              ]
            },
            "includeOtherFields": true
          },
          "typeVersion": 3.4
        },
        {
          "id": "d2cef0dd-9c35-4907-8a1a-622df337c2ee",
          "name": "Fetch Financial Data",
          "type": "n8n-nodes-base.httpRequest",
          "position": [
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          ],
          "parameters": {
            "url": "={{ $('Workflow Configuration').first().json.financialApiUrl }}",
            "options": {}
          },
          "typeVersion": 4.3
        },
        {
          "id": "416e61b3-3712-42c3-bd7e-3f98b35ccc1a",
          "name": "Fetch Operational Data",
          "type": "n8n-nodes-base.httpRequest",
          "position": [
            -480,
            208
          ],
          "parameters": {
            "url": "={{ $('Workflow Configuration').first().json.operationalApiUrl }}",
            "options": {}
          },
          "typeVersion": 4.3
        },
        {
          "id": "ab99328e-7f8b-4596-bb39-8e59054c30ce",
          "name": "Fetch Legal Data",
          "type": "n8n-nodes-base.httpRequest",
          "position": [
            -480,
            400
          ],
          "parameters": {
            "url": "={{ $('Workflow Configuration').first().json.legalApiUrl }}",
            "options": {}
          },
          "typeVersion": 4.3
        },
        {
          "id": "05703848-ad9a-4c3b-93d7-41cb5bcfed0d",
          "name": "Fetch Insurance Data",
          "type": "n8n-nodes-base.httpRequest",
          "position": [
            -480,
            592
          ],
          "parameters": {
            "url": "={{ $('Workflow Configuration').first().json.insuranceApiUrl }}",
            "options": {}
          },
          "typeVersion": 4.3
        },
        {
          "id": "75896017-68a2-4445-9943-e59295fb51e9",
          "name": "Fetch Regulatory Data",
          "type": "n8n-nodes-base.httpRequest",
          "position": [
            -480,
            784
          ],
          "parameters": {
            "url": "={{ $('Workflow Configuration').first().json.regulatoryApiUrl }}",
            "options": {}
          },
          "typeVersion": 4.3
        },
        {
          "id": "c420708f-585f-428e-a571-77ddecb3e6ab",
          "name": "Risk Assessment AI Agent",
          "type": "@n8n/n8n-nodes-langchain.agent",
          "position": [
            -32,
            112
          ],
          "parameters": {
            "text": "={{ $json }}",
            "options": {
              "systemMessage": "You are an expert risk assessment and compliance analyst for real estate investment portfolios.\n\nYour task is to:\n1. Analyze the consolidated financial, operational, legal, insurance, and regulatory data for each property\n2. Calculate risk scores (0-100, where 100 is highest risk) for each category:\n   - Financial Risk: Cash flow issues, debt ratios, revenue trends\n   - Operational Risk: Maintenance issues, occupancy rates, management quality\n   - Legal Risk: Pending litigation, contract issues, zoning violations\n   - Insurance Risk: Coverage gaps, claims history, policy expiration\n   - Regulatory Risk: Code violations, permit issues, compliance gaps\n3. Calculate an overall risk score as a weighted average\n4. Identify specific compliance issues that require immediate attention\n5. Provide actionable recommendations to mitigate identified risks\n\nBe thorough, objective, and prioritize issues by severity and urgency."
            },
            "promptType": "define",
            "hasOutputParser": true
          },
          "typeVersion": 3.1
        },
        {
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          "name": "Risk Score Output Parser",
          "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
          "position": [
            144,
            336
          ],
          "parameters": {
            "schemaType": "manual",
            "inputSchema": "{\n\t\"type\": \"object\",\n\t\"properties\": {\n\t\t\"propertyId\": {\n\t\t\t\"type\": \"string\",\n\t\t\t\"description\": \"Unique identifier for the property\"\n\t\t},\n\t\t\"propertyName\": {\n\t\t\t\"type\": \"string\",\n\t\t\t\"description\": \"Name of the property\"\n\t\t},\n\t\t\"overallRiskScore\": {\n\t\t\t\"type\": \"number\",\n\t\t\t\"description\": \"Overall risk score from 0-100\"\n\t\t},\n\t\t\"financialRisk\": {\n\t\t\t\"type\": \"number\",\n\t\t\t\"description\": \"Financial risk score from 0-100\"\n\t\t},\n\t\t\"operationalRisk\": {\n\t\t\t\"type\": \"number\",\n\t\t\t\"description\": \"Operational risk score from 0-100\"\n\t\t},\n\t\t\"legalRisk\": {\n\t\t\t\"type\": \"number\",\n\t\t\t\"description\": \"Legal risk score from 0-100\"\n\t\t},\n\t\t\"insuranceRisk\": {\n\t\t\t\"type\": \"number\",\n\t\t\t\"description\": \"Insurance risk score from 0-100\"\n\t\t},\n\t\t\"regulatoryRisk\": {\n\t\t\t\"type\": \"number\",\n\t\t\t\"description\": \"Regulatory compliance risk score from 0-100\"\n\t\t},\n\t\t\"complianceIssues\": {\n\t\t\t\"type\": \"array\",\n\t\t\t\"items\": {\n\t\t\t\t\"type\": \"string\"\n\t\t\t},\n\t\t\t\"description\": \"List of identified compliance issues\"\n\t\t},\n\t\t\"recommendations\": {\n\t\t\t\"type\": \"array\",\n\t\t\t\"items\": {\n\t\t\t\t\"type\": \"string\"\n\t\t\t},\n\t\t\t\"description\": \"Recommended actions to mitigate risks\"\n\t\t}\n\t}\n}"
          },
          "typeVersion": 1.3
        },
        {
          "id": "4913453b-8be0-4467-85c0-811ef3f891f7",
          "name": "Check for High Risk or Compliance Issues",
          "type": "n8n-nodes-base.if",
          "position": [
            320,
            112
          ],
          "parameters": {
            "options": {},
            "conditions": {
              "options": {
                "leftValue": "",
                "caseSensitive": false,
                "typeValidation": "loose"
              },
              "combinator": "or",
              "conditions": [
                {
                  "id": "id-1",
                  "operator": {
                    "type": "number",
                    "operation": "gte"
                  },
                  "leftValue": "={{ $('Risk Assessment AI Agent').item.json.overallRiskScore }}",
                  "rightValue": "={{ $('Workflow Configuration').first().json.riskThreshold }}"
                },
                {
                  "id": "id-2",
                  "operator": {
                    "type": "array",
                    "operation": "lengthGt"
                  },
                  "leftValue": "={{ $('Risk Assessment AI Agent').item.json.complianceIssues }}",
                  "rightValue": "0"
                }
              ]
            }
          },
          "typeVersion": 2.3
        },
        {
          "id": "8d3a89c5-c57e-47ad-a48e-66d935d82751",
          "name": "Generate Corrective Actions",
          "type": "n8n-nodes-base.code",
          "position": [
            544,
            128
          ],
          "parameters": {
            "jsCode": "const items = $input.all();\nconst correctionActions = [];\n\nfor (const item of items) {\n  const data = item.json;\n  \n  const action = {\n    propertyId: data.propertyId,\n    propertyName: data.propertyName,\n    overallRiskScore: data.overallRiskScore,\n    urgency: data.overallRiskScore >= 80 ? 'critical' : 'high',\n    complianceIssues: data.complianceIssues || [],\n    recommendations: data.recommendations || [],\n    timestamp: new Date().toISOString(),\n    actionType: 'risk_mitigation'\n  };\n  \n  correctionActions.push({ json: action });\n}\n\nreturn correctionActions;"
          },
          "typeVersion": 2
        },
        {
          "id": "45fd94e8-035f-4b0e-a649-7e4e33e61122",
          "name": "Trigger Correction Workflow",
          "type": "n8n-nodes-base.httpRequest",
          "position": [
            768,
            128
          ],
          "parameters": {
            "url": "={{ $('Workflow Configuration').first().json.correctionWorkflowUrl }}",
            "method": "POST",
            "options": {},
            "jsonBody": "={{ $json }}",
            "sendBody": true,
            "specifyBody": "json"
          },
          "typeVersion": 4.3
        },
        {
          "id": "b425b6cc-5f8e-4131-ba18-f575d2105b4c",
          "name": "Format Report Data",
          "type": "n8n-nodes-base.set",
          "position": [
            544,
            320
          ],
          "parameters": {
            "options": {},
            "assignments": {
              "assignments": [
                {
                  "id": "id-1",
                  "name": "reportTitle",
                  "type": "string",
                  "value": "Portfolio Risk & Compliance Report"
                },
                {
                  "id": "id-2",
                  "name": "reportDate",
                  "type": "string",
                  "value": "={{ $now.format('MMMM dd, yyyy') }}"
                },
                {
                  "id": "id-3",
                  "name": "propertyId",
                  "type": "string",
                  "value": "={{ $json.propertyId }}"
                },
                {
                  "id": "id-4",
                  "name": "propertyName",
                  "type": "string",
                  "value": "={{ $json.propertyName }}"
                },
                {
                  "id": "id-5",
                  "name": "overallRiskScore",
                  "type": "number",
                  "value": "={{ $json.overallRiskScore }}"
                },
                {
                  "id": "id-6",
                  "name": "riskLevel",
                  "type": "string",
                  "value": "={{ $json.overallRiskScore >= 80 ? 'Critical' : $json.overallRiskScore >= 60 ? 'High' : $json.overallRiskScore >= 40 ? 'Medium' : 'Low' }}"
                },
                {
                  "id": "id-7",
                  "name": "financialRisk",
                  "type": "number",
                  "value": "={{ $json.financialRisk }}"
                },
                {
                  "id": "id-8",
                  "name": "operationalRisk",
                  "type": "number",
                  "value": "={{ $json.operationalRisk }}"
                },
                {
                  "id": "id-9",
                  "name": "legalRisk",
                  "type": "number",
                  "value": "={{ $json.legalRisk }}"
                },
                {
                  "id": "id-10",
                  "name": "insuranceRisk",
                  "type": "number",
                  "value": "={{ $json.insuranceRisk }}"
                },
                {
                  "id": "id-11",
                  "name": "regulatoryRisk",
                  "type": "number",
                  "value": "={{ $json.regulatoryRisk }}"
                },
                {
                  "id": "id-12",
                  "name": "complianceIssues",
                  "type": "string",
                  "value": "={{ $json.complianceIssues.join(', ') }}"
                },
                {
                  "id": "id-13",
                  "name": "recommendations",
                  "type": "string",
                  "value": "={{ $json.recommendations.join(', ') }}"
                }
              ]
            }
          },
          "typeVersion": 3.4
        },
        {
          "id": "752ec1eb-42c3-498e-9591-ac27f67f2d7f",
          "name": "Send Report to Investors via Email",
          "type": "n8n-nodes-base.gmail",
          "position": [
            768,
            320
          ],
          "webhookId": "9737ee4a-8ced-4a88-8be6-fedbc2e9f038",
          "parameters": {
            "sendTo": "={{ $('Workflow Configuration').first().json.investorEmails }}",
            "message": "=<h2>{{ $json.reportTitle }}</h2><p><strong>Report Date:</strong> {{ $json.reportDate }}</p><hr><h3>Property: {{ $json.propertyName }} ({{ $json.propertyId }})</h3><p><strong>Overall Risk Score:</strong> {{ $json.overallRiskScore }} - <span style=\"color: {{ $json.riskLevel === \"Critical\" ? \"red\" : $json.riskLevel === \"High\" ? \"orange\" : \"green\" }}\">{{ $json.riskLevel }}</span></p><h4>Risk Breakdown:</h4><ul><li>Financial Risk: {{ $json.financialRisk }}</li><li>Operational Risk: {{ $json.operationalRisk }}</li><li>Legal Risk: {{ $json.legalRisk }}</li><li>Insurance Risk: {{ $json.insuranceRisk }}</li><li>Regulatory Risk: {{ $json.regulatoryRisk }}</li></ul><h4>Compliance Issues:</h4><p>{{ $json.complianceIssues || \"None identified\" }}</p><h4>Recommendations:</h4><p>{{ $json.recommendations }}</p><hr><p><em>This is an automated report from your Portfolio Risk & Compliance AI Dashboard.</em></p>",
            "options": {},
            "subject": "=Portfolio Risk & Compliance Report - {{ $json.reportDate }}"
          },
          "credentials": {
            "gmailOAuth2": {
              "id": "credential-id",
              "name": "gmailOAuth2 Credential"
            }
          },
          "typeVersion": 2.2
        },
        {
          "id": "c2318ad6-30e6-4496-a257-ee19ffa4b4ae",
          "name": "Send Alert to Slack",
          "type": "n8n-nodes-base.slack",
          "position": [
            992,
            128
          ],
          "webhookId": "712f9e8f-dc1c-480f-a986-781ad0cbb6d2",
          "parameters": {
            "text": "=:warning: *High Risk Alert - Corrective Action Triggered*\n\n*Property:* {{ $json.propertyName }} ({{ $json.propertyId }})\n*Risk Score:* {{ $json.overallRiskScore }}\n*Urgency:* {{ $json.urgency }}\n\n*Compliance Issues:*\n{{ $json.complianceIssues.join(\"\\n\") }}\n\n*Recommended Actions:*\n{{ $json.recommendations.join(\"\\n\") }}\n\n*Timestamp:* {{ $json.timestamp }}\n\nCorrection workflow has been triggered automatically.",
            "select": "channel",
            "channelId": {
              "__rl": true,
              "mode": "id",
              "value": "={{ $('Workflow Configuration').first().json.slackChannel }}"
            },
            "otherOptions": {},
            "authentication": "oAuth2"
          },
          "credentials": {
            "slackOAuth2Api": {
              "id": "credential-id",
              "name": "slackOAuth2Api Credential"
            }
          },
          "typeVersion": 2.4
        },
        {
          "id": "3d634aa9-0ddb-4bda-a59f-67f958baac02",
          "name": "OpenRouter Chat Model",
          "type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter",
          "position": [
            -32,
            352
          ],
          "parameters": {
            "model": "qwen/qwen-max",
            "options": {}
          },
          "credentials": {
            "openRouterApi": {
              "id": "credential-id",
              "name": "openRouterApi Credential"
            }
          },
          "typeVersion": 1
        },
        {
          "id": "32ec8539-f824-49b6-b7da-df877116692d",
          "name": "Merge",
          "type": "n8n-nodes-base.merge",
          "position": [
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            64
          ],
          "parameters": {
            "numberInputs": 5
          },
          "typeVersion": 3.2
        },
        {
          "id": "0f1eb7ce-a652-47e4-bc3f-3bab654e4700",
          "name": "Sticky Note",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -288,
            -304
          ],
          "parameters": {
            "width": 272,
            "height": 240,
            "content": "## Setup Steps\n1. Configure hourly/daily schedule trigger. \n2. Authenticate all five data APIs. \n3. Set OpenRouter credentials. \n4. Configure Slack webhook. \n5. Set Gmail for email distribution. \n6. Define risk thresholds and compliance rules."
          },
          "typeVersion": 1
        },
        {
          "id": "c16fb42b-ac7b-43be-88f2-b3b81e8034ab",
          "name": "Sticky Note2",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -960,
            -320
          ],
          "parameters": {
            "width": 656,
            "height": 256,
            "content": "## How It Works\nAutomates financial risk evaluation by intelligently consolidating information from five critical sources: financial, operational, legal, insurance, and regulatory systems. Hourly triggers enable continuous, AI-driven risk assessment using the OpenRouter Chat Model, producing dynamic risk scores while simultaneously identifying emerging compliance gaps and potential exposure areas. High-risk findings automatically initiate corrective actions, trigger secondary investigations, and send real-time alerts through Slack notifications as well as investor email updates. Designed for financial institutions, compliance teams, risk managers, and investment firms, it provides continuous, scalable, and fully data-driven monitoring of risk across complex regulatory and operational environments."
          },
          "typeVersion": 1
        },
        {
          "id": "a3b16e6f-19fe-44b7-ba31-ffd3305b1673",
          "name": "Sticky Note3",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            16,
            -400
          ],
          "parameters": {
            "color": 5,
            "width": 640,
            "height": 336,
            "content": "## Prerequisites\nOpenRouter API key, five data source APIs, Slack access, Gmail account, investor contacts \n\n## Use Cases\nBanking risk audits, insurance compliance monitoring, portfolio risk tracking \n\n## Customization\nSwap AI models, modify data sources, adjust thresholds \n\n## Benefits\n90% faster risk assessment, eliminates manual aggregation "
          },
          "typeVersion": 1
        },
        {
          "id": "a81b40e2-5a4e-4905-a75f-58c4c342e7c5",
          "name": "Sticky Note4",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -80,
            -32
          ],
          "parameters": {
            "color": 7,
            "width": 544,
            "height": 752,
            "content": "## Risk Assessment AI & Scoring\n- Evaluates risk; generates numerical scores.\n- Extracts structured output; identifies severity.\n"
          },
          "typeVersion": 1
        },
        {
          "id": "9b1b7c8c-06df-4cb6-8ed7-b48310fd4290",
          "name": "Sticky Note5",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            480,
            -32
          ],
          "parameters": {
            "color": 7,
            "width": 704,
            "height": 800,
            "content": "\n## Trigger Corrections & Alert\n- Implements automated responses.\n- Generates reports; sends Slack notifications."
          },
          "typeVersion": 1
        },
        {
          "id": "8e3dd213-c923-4478-8a80-0e4ce7c12530",
          "name": "Sticky Note6",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -960,
            -32
          ],
          "parameters": {
            "color": 7,
            "width": 864,
            "height": 1008,
            "content": "## Schedule Trigger and Fetch Data\n- Initiates assessment hourly for continuous monitoring.\n- Aggregates five data types into unified dataset."
          },
          "typeVersion": 1
        }
      ],
      "active": false,
      "pinData": {},
      "settings": {
        "availableInMCP": false,
        "executionOrder": "v1"
      },
      "versionId": "600b1301-de13-4ab0-ab71-30d23d779535",
      "connections": {
        "Merge": {
          "main": [
            [
              {
                "node": "Risk Assessment AI Agent",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Fetch Legal Data": {
          "main": [
            [
              {
                "node": "Merge",
                "type": "main",
                "index": 2
              }
            ]
          ]
        },
        "Schedule Trigger": {
          "main": [
            [
              {
                "node": "Workflow Configuration",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Format Report Data": {
          "main": [
            [
              {
                "node": "Send Report to Investors via Email",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Fetch Financial Data": {
          "main": [
            [
              {
                "node": "Merge",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Fetch Insurance Data": {
          "main": [
            [
              {
                "node": "Merge",
                "type": "main",
                "index": 3
              }
            ]
          ]
        },
        "Fetch Regulatory Data": {
          "main": [
            [
              {
                "node": "Merge",
                "type": "main",
                "index": 4
              }
            ]
          ]
        },
        "OpenRouter Chat Model": {
          "ai_languageModel": [
            [
              {
                "node": "Risk Assessment AI Agent",
                "type": "ai_languageModel",
                "index": 0
              }
            ]
          ]
        },
        "Fetch Operational Data": {
          "main": [
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        "icon": "fa:sticky-note",
        "name": "n8n-nodes-base.stickyNote",
        "codex": {
          "data": {
            "alias": [
              "Comments",
              "Notes",
              "Sticky"
            ],
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Helpers"
              ]
            }
          }
        },
        "group": "[\"input\"]",
        "defaults": {
          "name": "Sticky Note",
          "color": "#FFD233"
        },
        "iconData": {
          "icon": "sticky-note",
          "type": "icon"
        },
        "displayName": "Sticky Note",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 834,
        "icon": "file:code.svg",
        "name": "n8n-nodes-base.code",
        "codex": {
          "data": {
            "alias": [
              "cpde",
              "Javascript",
              "JS",
              "Python",
              "Script",
              "Custom Code",
              "Function"
            ],
            "details": "The Code node allows you to execute JavaScript in your workflow.",
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.code/"
                }
              ]
            },
            "categories": [
              "Development",
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Helpers",
                "Data Transformation"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Code"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "Code",
        "typeVersion": 2,
        "nodeCategories": [
          {
            "id": 5,
            "name": "Development"
          },
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 839,
        "icon": "fa:clock",
        "name": "n8n-nodes-base.scheduleTrigger",
        "codex": {
          "data": {
            "alias": [
              "Time",
              "Scheduler",
              "Polling",
              "Cron",
              "Interval"
            ],
            "resources": {
              "generic": [],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.scheduletrigger/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0"
          }
        },
        "group": "[\"trigger\",\"schedule\"]",
        "defaults": {
          "name": "Schedule Trigger",
          "color": "#31C49F"
        },
        "iconData": {
          "icon": "clock",
          "type": "icon"
        },
        "displayName": "Schedule Trigger",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 1119,
        "icon": "fa:robot",
        "name": "@n8n/n8n-nodes-langchain.agent",
        "codex": {
          "data": {
            "alias": [
              "LangChain",
              "Chat",
              "Conversational",
              "Plan and Execute",
              "ReAct",
              "Tools"
            ],
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent/"
                }
              ]
            },
            "categories": [
              "AI",
              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Agents",
                "Root Nodes"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "AI Agent",
          "color": "#404040"
        },
        "iconData": {
          "icon": "robot",
          "type": "icon"
        },
        "displayName": "AI Agent",
        "typeVersion": 3,
        "nodeCategories": [
          {
            "id": 25,
            "name": "AI"
          },
          {
            "id": 26,
            "name": "Langchain"
          }
        ]
      },
      {
        "id": 1179,
        "icon": "fa:code",
        "name": "@n8n/n8n-nodes-langchain.outputParserStructured",
        "codex": {
          "data": {
            "alias": [
              "json",
              "zod"
            ],
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.outputparserstructured/"
                }
              ]
            },
            "categories": [
              "AI",
              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Output Parsers"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Structured Output Parser"
        },
        "iconData": {
          "icon": "code",
          "type": "icon"
        },
        "displayName": "Structured Output Parser",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 25,
            "name": "AI"
          },
          {
            "id": 26,
            "name": "Langchain"
          }
        ]
      },
      {
        "id": 1281,
        "icon": "file:openrouter.svg",
        "name": "@n8n/n8n-nodes-langchain.lmChatOpenRouter",
        "codex": {
          "data": {
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatopenrouter/"
                }
              ]
            },
            "categories": [
              "AI",
              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Language Models",
                "Root Nodes"
              ],
              "Language Models": [
                "Chat Models (Recommended)"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "OpenRouter Chat Model"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "OpenRouter Chat Model",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 25,
            "name": "AI"
          },
          {
            "id": 26,
            "name": "Langchain"
          }
        ]
      }
    ],
    "categories": [
      {
        "id": 35,
        "name": "Document Extraction"
      },
      {
        "id": 49,
        "name": "AI Summarization"
      }
    ],
    "image": []
  }
}