{
    "meta": {
      "instanceId": "0a70652f43c1b29dd16c35b61a38fd31c8004f58bc7e723bf43262a797407c77",
      "templateCredsSetupCompleted": true
    },
    "name": "My workflow 5",
    "tags": [],
    "nodes": [
      {
        "id": "850d04e5-6cad-4a35-96cf-47478ae7b91f",
        "name": "Convert to File",
        "type": "n8n-nodes-base.convertToFile",
        "position": [
          880,
          0
        ],
        "parameters": {
          "options": {}
        },
        "typeVersion": 1.1
      },
      {
        "id": "a7f50841-af97-4127-a4f1-a0ce4352759e",
        "name": "Simple Memory",
        "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
        "position": [
          -880,
          270
        ],
        "parameters": {
          "contextWindowLength": 100
        },
        "typeVersion": 1.3
      },
      {
        "id": "b30bbfbc-747c-4ba7-8ae5-737bb13bb6a3",
        "name": "When chat message received",
        "type": "@n8n/n8n-nodes-langchain.chatTrigger",
        "position": [
          -1440,
          175
        ],
        "webhookId": "36280bdf-bc14-42f0-86f8-281ce2885df6",
        "parameters": {
          "options": {}
        },
        "typeVersion": 1.1
      },
      {
        "id": "d3a27151-8278-4c72-aa76-a1a31095a240",
        "name": "AI Agent",
        "type": "@n8n/n8n-nodes-langchain.agent",
        "position": [
          -908,
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        ],
        "parameters": {
          "text": "={{ $json.combinedInput }}",
          "options": {
            "maxIterations": 100,
            "systemMessage": "=You are an expert in interpreting natural language queries and converting them into structured JSON requests for the Explorium MCP API.\n\nYour task is to generate the **`data` portion** of a `fetch_prospects` API request, using only Explorium MCP-compatible filters and parameters. Adjust the filters based on both the query and the MCP specifications—not all filters are relevant for every query.\n\n**You may also be asked to revise a previous response that failed validation due to incorrect filters or formatting.** In such cases, carefully review the error message and regenerate the JSON accordingly.\n\nYour response must be a **single JSON object** with this structure:\n\n```json\n{\n  \"mode\": \"full\",\n  \"size\": 10000,\n  \"page_size\": 100,\n  \"page\": 1,\n  \"filters\": {\n    \"has_email\": { \"value\": true },\n    \"has_phone_number\": { \"value\": true },\n    \"job_level\": { \"values\": [...] },\n    \"job_department\": { \"values\": [...] },\n    \"business_id\": { \"values\": [...] },\n    ...\n  }\n}\n```\n\n### Required Structure:\n\n* The fields `mode`, `size`, `page_size`, and `page` must appear **before** the `filters` object.\n* Default values:\n\n  * `mode`: `\"full\"`\n  * `size`: `10000` (unless otherwise specified by the user; must remain between 1 and 10000)\n  * `page_size`: `100` (**must always be less or equal to `size`**)\n  * `page`: `1`\n  * `has_email`: always `{ \"value\": true }`, unless explicitly requested otherwise\n\n---\n\n### Allowed Filters & Valid Values:\n\nIf any of the following filters appear in your output, their values **must strictly match** these lists:\n\n* **`company_size`**: `'1-10'`, `'11-50'`, `'51-200'`, `'201-500'`, `'501-1000'`, `'1001-5000'`, `'5001-10000'`, `'10001+'`\n* **`company_age`**: `'0-3'`, `'3-6'`, `'6-10'`, `'10-20'`, `'20+'`\n* **`number_of_locations`**: `'0-1'`, `'2-5'`, `'6-20'`, `'21-50'`, `'51-100'`, `'101-1000'`, `'1001+'`\n* **`company_revenue`**: `'0-500K'`, `'500K-1M'`, `'1M-5M'`, `'5M-10M'`, `'10M-25M'`, `'25M-75M'`, `'75M-200M'`, `'200M-500M'`, `'500M-1B'`, `'1B-10B'`, `'10B-100B'`, `'100B-1T'`, `'1T-10T'`, `'10T+'`\n* **`job_level`**: `'director'`, `'manager'`, `'vp'`, `'partner'`, `'cxo'`, `'non-managerial'`, `'senior'`, `'entry'`, `'training'`, `'unpaid'`\n* **`job_department`**: `'customer service'`, `'design'`, `'education'`, `'engineering'`, `'finance'`, `'general'`, `'health'`, `'human resources'`, `'legal'`, `'marketing'`, `'media'`, `'operations'`, `'public relations'`, `'real estate'`, `'sales'`, `'trades'`, `'unknown'`\n* **`country_code`** and **`company_country_code`**: Must be valid **2-letter ISO Alpha-2 codes** (e.g., `us`, `gb`, `de`, etc.)\n* **`total_experience_months`** and **`current_role_months`**: These must be objects with both a `gte` and `lte` key where `gte <= lte`, for example:\n\n```json\n\"total_experience_months\": { \"gte\": 3, \"lte\": 6 }\n```\n\nand\n\n```json\n\"current_role_months\": { \"gte\": 1, \"lte\": 10 }\n```\n\n* If a company name is mentioned (e.g., \"Microsoft\"), include its `business_id` (use a placeholder like `\"abc123\"` if unknown)\n\n---\n\n### Interpretation & Mapping:\n\n* Extract job levels from descriptions like:\n\n  * “executives” or “leadership” → `\"cxo\"`\n  * “heads” or “vice presidents” → `\"vp\"`\n* Map department-like terms (e.g., “sales”, “marketing”) to the `job_department` field.\n* Don’t include filters with empty or unrecognized values.\n* Use plural logic: if the query includes a phrase like “finance and marketing,” return both departments.\n\n---\n\n### Off-topic Handling:\n\nIf the request is unrelated to B2B data intelligence or the MCP use cases, return the following message verbatim:\n\n> I’m the Explorium MCP Playground assistant, built to explore company & prospect intelligence.\n> Example queries:\n> • Find SaaS firms in New York with 50‑200 employees\n> • Show Microsoft’s technology stack\n> • Get marketing‑director contacts at healthcare companies\n> • Compare funding rounds of fintech startups\n> How would you like to explore Explorium’s data?"
          },
          "promptType": "define",
          "hasOutputParser": true
        },
        "retryOnFail": true,
        "typeVersion": 1.7
      },
      {
        "id": "24b27ab1-ba9e-4e43-924f-819a1505cdba",
        "name": "Extract \"data\"",
        "type": "n8n-nodes-base.splitOut",
        "position": [
          440,
          0
        ],
        "parameters": {
          "options": {},
          "fieldToSplitOut": "data"
        },
        "typeVersion": 1
      },
      {
        "id": "8cc673a5-d6cf-4e64-9d99-01d0320429fa",
        "name": "Merge All Pages",
        "type": "n8n-nodes-base.code",
        "position": [
          220,
          0
        ],
        "parameters": {
          "jsCode": "// Initialize a single array to hold all data items\nconst mergedData = [];\n\n// Loop over all input items\nfor (const item of $input.all()) {\n  if (item.json.data && Array.isArray(item.json.data)) {\n    mergedData.push(...item.json.data); // Spread and merge the data arrays\n  }\n}\n\n// Return a single item with the combined data array\nreturn [\n  {\n    json: {\n      data: mergedData\n    }\n  }\n];"
        },
        "typeVersion": 2
      },
      {
        "id": "e9173b61-010d-42f9-83d9-1ce724ca9fb9",
        "name": "Prepare for CSV",
        "type": "n8n-nodes-base.code",
        "position": [
          660,
          0
        ],
        "parameters": {
          "jsCode": "const items = [];\n\nfor (const item of $input.all()) {\n  items.push({\n    prospect_id: item.json.prospect_id ?? null,\n    first_name: item.json.first_name ?? null,\n    last_name: item.json.last_name ?? null,\n    full_name: item.json.full_name ?? null,\n    country_name: item.json.country_name ?? null,\n    region_name: item.json.region_name ?? null,\n    city: item.json.city ?? null,\n    linkedin: item.json.linkedin ?? null,\n    experience: Array.isArray(item.json.experience) ? item.json.experience.join('; ') : null,\n    skills: Array.isArray(item.json.skills) ? item.json.skills.join(', ') : null,\n    interests: Array.isArray(item.json.interests) ? item.json.interests.join(', ') : item.json.interests ?? null,\n    company_name: item.json.company_name ?? null,\n    company_website: item.json.company_website ?? null,\n    company_linkedin: item.json.company_linkedin ?? null,\n    job_department: item.json.job_department ?? null,\n    job_seniority_level: Array.isArray(item.json.job_seniority_level) ? item.json.job_seniority_level.join(', ') : null,\n    job_title: item.json.job_title ?? null,\n    business_id: item.json.business_id ?? null,\n  });\n}\n\nreturn items;"
        },
        "typeVersion": 2
      },
      {
        "id": "6ce4650b-b267-4642-9104-0e47568ee049",
        "name": "API Call Validation",
        "type": "n8n-nodes-base.code",
        "position": [
          -440,
          50
        ],
        "parameters": {
          "jsCode": "const allowedFilters = [\n  \"country_code\",\n  \"region_country_code\",\n  \"company_country_code\",\n  \"company_region_country_code\",\n  \"company_size\",\n  \"company_revenue\",\n  \"company_age\",\n  \"google_category\",\n  \"naics_category\",\n  \"linkedin_category\",\n  \"company_name\",\n  \"number_of_locations\",\n  \"city_region_country\",\n  \"website_keywords\",\n  \"has_email\",\n  \"has_phone_number\",\n  \"job_level\",\n  \"job_department\",\n  \"job_title\",\n  \"business_id\",\n  \"total_experience_months\",\n  \"current_role_months\"\n];\n\nconst validCompanySizes = ['1-10', '11-50', '51-200', '201-500', '501-1000', '1001-5000', '5001-10000', '10001+'];\nconst validAges = ['0-3', '3-6', '6-10', '10-20', '20+'];\nconst validLocations = ['0-1', '2-5', '6-20', '21-50', '51-100', '101-1000', '1001+'];\nconst validRevenue = [\n  \"0-500K\", \"500K-1M\", \"1M-5M\", \"5M-10M\", \"10M-25M\", \"25M-75M\", \"75M-200M\", \"200M-500M\",\n  \"500M-1B\", \"1B-10B\", \"10B-100B\", \"100B-1T\", \"1T-10T\", \"10T+\"\n];\nconst validJobLevel = [\"director\", \"manager\", \"vp\", \"partner\", \"cxo\", \"non-managerial\", \"senior\", \"entry\", \"training\", \"unpaid\"];\nconst validDepartment = [\n  \"customer service\", \"design\", \"education\", \"engineering\", \"finance\", \"general\", \"health\", \"human resources\",\n  \"legal\", \"marketing\", \"media\", \"operations\", \"public relations\", \"real estate\", \"sales\", \"trades\", \"unknown\"\n];\n\nconst countryCodeRegex = /^(aw|af|ao|ai|ax|al|ad|ae|ar|am|as|aq|tf|ag|au|at|az|bi|be|bj|bq|bf|bd|bg|bh|bs|ba|bl|by|bz|bm|bo|br|bb|bn|bt|bv|bw|cf|ca|cc|ch|cl|cn|ci|cm|cd|cg|ck|co|km|cv|cr|cu|cw|cx|ky|cy|cz|de|dj|dm|dk|do|dz|ec|eg|er|eh|es|ee|et|fi|fj|fk|fr|fo|fm|ga|gb|ge|gg|gh|gi|gn|gp|gm|gw|gq|gr|gd|gl|gt|gf|gu|gy|hk|hm|hn|hr|ht|hu|id|im|in|io|ie|ir|iq|is|il|it|jm|je|jo|jp|kz|ke|kg|kh|ki|kn|kr|kw|la|lb|lr|ly|lc|li|lk|ls|lt|lu|lv|mo|mf|ma|mc|md|mg|mv|mx|mh|mk|ml|mt|mm|me|mn|mp|mz|mr|ms|mq|mu|mw|my|yt|na|nc|ne|nf|ng|ni|nu|nl|no|np|nr|nz|om|pk|pa|pn|pe|ph|pw|pg|pl|pr|kp|pt|py|ps|pf|qa|re|ro|ru|rw|sa|sd|sn|sg|gs|sh|sj|sb|sl|sv|sm|so|pm|rs|ss|st|sr|sk|si|se|sz|sx|sc|sy|tc|td|tg|th|tj|tk|tm|tl|to|tt|tn|tr|tv|tw|tz|ug|ua|um|uy|us|uz|va|vc|ve|vg|vi|vn|vu|wf|ws|xk|ye|za|zm|zw)$/;\n\nconst item = $input.first().json;\nconst output = item.output || {};\nconst filters = output.filters || {};\nconst errors = [];\n\nfor (const key of Object.keys(filters)) {\n  const filter = filters[key];\n\n  if (!allowedFilters.includes(key)) {\n    errors.push(`Invalid filter key: '${key}'`);\n    continue;\n  }\n\n  if ('value' in filter) {\n    if (typeof filter.value !== 'boolean') {\n      errors.push(`Filter '${key}' has a 'value' but it's not a boolean.`);\n    }\n    continue;\n  }\n\n  if ('values' in filter) {\n    if (!Array.isArray(filter.values) || filter.values.length === 0) {\n      errors.push(`Filter '${key}' must contain a non-empty 'values' array.`);\n      continue;\n    }\n\n    // Normalize to lowercase for fields that require it\n    if ([\"job_level\", \"job_department\", \"country_code\", \"region_country_code\", \"company_country_code\", \"company_region_country_code\"].includes(key)) {\n      filter.values = filter.values.map(v => typeof v === 'string' ? v.toLowerCase() : v);\n    }\n\n    const validateValues = (validList, keyName) => {\n      const invalid = filter.values.filter(v => !validList.includes(v));\n      if (invalid.length > 0) {\n        errors.push(`Invalid ${keyName} values: ${invalid.join(', ')}. Valid values are: ${validList.join(', ')}`);\n      }\n    };\n\n    switch (key) {\n      case 'company_size':\n        validateValues(validCompanySizes, 'company_size');\n        break;\n      case 'company_age':\n        validateValues(validAges, 'company_age');\n        break;\n      case 'number_of_locations':\n        validateValues(validLocations, 'number_of_locations');\n        break;\n      case 'company_revenue':\n        validateValues(validRevenue, 'company_revenue');\n        break;\n      case 'job_level':\n        validateValues(validJobLevel, 'job_level');\n        break;\n      case 'job_department':\n        validateValues(validDepartment, 'job_department');\n        break;\n      case 'country_code':\n        const invalid = filter.values.filter(v => !countryCodeRegex.test(v));\n        if (invalid.length > 0) {\n          errors.push(`Invalid country_code values: ${invalid.join(', ')}. Must be ISO 3166-1 alpha-2 codes.`);\n        }\n        break;\n    }\n\n    const unique = new Set(filter.values);\n    if (unique.size < filter.values.length) {\n      errors.push(`Duplicate values found in filter '${key}'`);\n    }\n\n    continue;\n  }\n\n  // Handle total_experience_months and current_role_months as a range objects\n  if (key === 'total_experience_months' || key === 'current_role_months') {\n  const range = filter;\n  \n  if (!('gte' in range) && !('lte' in range)) {\n    errors.push(`Filter '${key}' must include at least 'gte' or 'lte'.`);\n    continue;\n  }\n\n  if ('gte' in range && typeof range.gte !== 'number') {\n    errors.push(`Filter '${key}' has a non-numeric 'gte' value.`);\n  }\n\n  if ('lte' in range && typeof range.lte !== 'number') {\n    errors.push(`Filter '${key}' has a non-numeric 'lte' value.`);\n  }\n\n  if ('gte' in range && 'lte' in range && range.gte > range.lte) {\n    errors.push(`Filter '${key}' has 'gte' greater than 'lte'.`);\n  }\n\n  continue;\n}\n\n  errors.push(`Filter '${key}' must include either 'value', 'values', or a valid range.`);\n}\n\nreturn [\n  {\n    json: {\n      ...item,\n      isValid: errors.length === 0,\n      validationErrors: errors\n    }\n  }\n];\n"
        },
        "typeVersion": 2
      },
      {
        "id": "fdfc7b79-9dbe-4fcb-89c0-4b83d9c11915",
        "name": "Validation Prompter",
        "type": "n8n-nodes-base.code",
        "position": [
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          275
        ],
        "parameters": {
          "jsCode": "const sessionId = $('When chat message received').first().json.sessionId;\nconst userQuery = $('When chat message received').first().json.chatInput;\nconst aiOutput = $('AI Agent').first().json.output;\nconst validationErrors = $('API Call Validation').first().json.validationErrors;\n\n// Safely stringify output and errors\nconst formattedOutput = typeof aiOutput === 'object' ? JSON.stringify(aiOutput, null, 2) : aiOutput;\nconst formattedErrors = Array.isArray(validationErrors) ? validationErrors.join('\\n- ') : validationErrors;\n\nreturn [\n  {\n    sessionId,\n    action: \"sendMessage\",\n    source: \"validation\",\n    errorInput: \n`Your response did not pass validation.\n\n📝 **User Query**:\n${userQuery}\n\n🤖 **Your Output**:\n${formattedOutput}\n\n⚠️ **Validation Errors**:\n- ${formattedErrors}\n\n🔧 Please review the validation errors and regenerate a corrected output. \nEnsure that all values strictly match the allowed formats and valid categories.\n\nReformulate your response accordingly.`\n  }\n];"
        },
        "typeVersion": 2
      },
      {
        "id": "60425530-b675-4389-9712-f86071453d58",
        "name": "Is API Call Valid?",
        "type": "n8n-nodes-base.if",
        "position": [
          -220,
          50
        ],
        "parameters": {
          "options": {},
          "conditions": {
            "options": {
              "version": 2,
              "leftValue": "",
              "caseSensitive": true,
              "typeValidation": "strict"
            },
            "combinator": "and",
            "conditions": [
              {
                "id": "9b2c3127-07c4-47d0-8dc3-44daa2a2d6e7",
                "operator": {
                  "type": "boolean",
                  "operation": "true",
                  "singleValue": true
                },
                "leftValue": "={{ $json.isValid }}",
                "rightValue": "true"
              }
            ]
          }
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        "typeVersion": 2.2
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        "name": "Chat or Refinement",
        "type": "n8n-nodes-base.code",
        "position": [
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        ],
        "parameters": {
          "jsCode": "const chat = $json.chatInput;\nconst error = $json.errorInput;\n\nreturn [\n  {\n    json: {\n      ...$json,\n      combinedInput: error ?? chat\n    }\n  }\n];"
        },
        "typeVersion": 2
      },
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        "name": "Anthropic Chat Model",
        "type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
        "position": [
          -1000,
          270
        ],
        "parameters": {
          "model": {
            "__rl": true,
            "mode": "list",
            "value": "claude-sonnet-4-20250514",
            "cachedResultName": "Claude Sonnet 4"
          },
          "options": {
            "thinking": false
          }
        },
        "credentials": {
          "anthropicApi": {
            "id": "zb4GaoxVQ7gIbD2A",
            "name": "Anthropic account 3"
          }
        },
        "typeVersion": 1.3
      },
      {
        "id": "8554cc57-0118-4af4-96d0-ac2a9a7c7f2c",
        "name": "Explorium MCP",
        "type": "@n8n/n8n-nodes-langchain.mcpClientTool",
        "position": [
          -760,
          270
        ],
        "parameters": {
          "sseEndpoint": "https://mcp-auth.explorium.ai/sse",
          "authentication": "headerAuth"
        },
        "credentials": {
          "httpHeaderAuth": {
            "id": "85mkGmNNdK1951hF",
            "name": "Header Auth Connection"
          }
        },
        "typeVersion": 1
      },
      {
        "id": "e6c05002-29c1-4716-bc14-20361fb28e56",
        "name": "Output Parser",
        "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
        "position": [
          -640,
          270
        ],
        "parameters": {
          "jsonSchemaExample": "{\n  \"mode\": \"full\",\n  \"size\": 10000,\n  \"page_size\": 100,\n  \"page\": 1,\n  \"filters\": {\n    \"has_email\": {\n      \"value\": true\n    },\n    \"has_phone_number\": {\n      \"value\": true\n    },\n    \"job_level\": {\n      \"values\": [\n        \"cxo\",\n        \"manager\"\n      ]\n    },\n    \"job_department\": {\n      \"values\": [\n        \"Customer service\",\n        \"Engineering\"\n      ]\n    },\n    \"business_id\": {\n      \"values\": [\n    \"8adce3ca1cef0c986b22310e369a0793\"\n      ]\n    },\n    \"total_experience_months\": {\n      \"gte\": 1,\n      \"lte\": 20\n    },\n    \"country_code\": {\n      \"values\": [\n        \"us\",\n        \"dk\",\n        \"uk\"\n      ]\n    },\n    \"region_country_code\": {\n      \"values\": [\n        \"us-ca\",\n        \"us-ny\"\n      ]\n    },\n    \"current_role_months\": {\n      \"gte\": 1,\n      \"lte\": 200\n    },\n    \"company_size\": {\n      \"values\": [\n        \"5001-10000\"\n      ]\n    },\n    \"company_revenue\": {\n      \"values\": [\n        \"500K-1M\",\n        \"5M-10M\"\n      ]\n    },\n    \"google_category\": {\n      \"values\": [\n        \"construction\"\n      ]\n    },\n    \"naics_category\": {\n      \"values\": [\n        \"541512\"\n      ]\n    },\n    \"linkedin_category\": {\n      \"values\": [\n        \"retail\",\n        \"software development\"\n      ]\n    },\n    \"job_title\": {\n      \"values\": [\n        \"Software Engineer\"\n      ]\n    },\n    \"company_country_code\": {\n      \"values\": [\n        \"us\",\n        \"jp\"\n      ]\n    },\n    \"company_region_country_code\": {\n      \"values\": [\n        \"us-ca\"\n      ]\n    },\n    \"city_region_country\": {\n      \"values\": [\n        \"Paris, FR\"\n      ]\n    },\n    \"company_name\": {\n      \"values\": [\n        \"Microsoft\"\n      ]\n    }\n  }\n}"
        },
        "typeVersion": 1.2
      },
      {
        "id": "e1e4391e-f199-4669-b62f-1d2f3f93aeff",
        "name": "Explorium Prospects API Call",
        "type": "n8n-nodes-base.httpRequest",
        "position": [
          0,
          0
        ],
        "parameters": {
          "url": "=https://api.explorium.ai/v1/prospects",
          "method": "POST",
          "options": {
            "pagination": {
              "pagination": {
                "parameters": {
                  "parameters": [
                    {
                      "name": "page",
                      "type": "body",
                      "value": "={{$response.body.page + 1}}"
                    }
                  ]
                },
                "limitPagesFetched": true,
                "completeExpression": "={{$response.body.data.length === 0}}",
                "paginationCompleteWhen": "other"
              }
            }
          },
          "jsonBody": "={{ $json.output }}",
          "sendBody": true,
          "sendHeaders": true,
          "specifyBody": "json",
          "authentication": "genericCredentialType",
          "genericAuthType": "httpHeaderAuth",
          "headerParameters": {
            "parameters": [
              {
                "name": "accept",
                "value": "application/json"
              }
            ]
          }
        },
        "credentials": {
          "httpHeaderAuth": {
            "id": "85mkGmNNdK1951hF",
            "name": "Header Auth Connection"
          }
        },
        "typeVersion": 4.2
      }
    ],
    "active": false,
    "pinData": {},
    "settings": {
      "executionOrder": "v1"
    },
    "versionId": "",
    "connections": {
      "AI Agent": {
        "main": [
          [
            {
              "node": "API Call Validation",
              "type": "main",
              "index": 0
            }
          ]
        ]
      },
      "Explorium MCP": {
        "ai_tool": [
          [
            {
              "node": "AI Agent",
              "type": "ai_tool",
              "index": 0
            }
          ]
        ]
      },
      "Output Parser": {
        "ai_outputParser": [
          [
            {
              "node": "AI Agent",
              "type": "ai_outputParser",
              "index": 0
            }
          ]
        ]
      },
      "Simple Memory": {
        "ai_memory": [
          [
            {
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