{
  "workflow": {
    "id": 4577,
    "name": "Automated revenue predictions from Stripe data with GPT-4 and Google Sheets",
    "views": 1144,
    "recentViews": 0,
    "totalViews": 1144,
    "createdAt": "2025-06-02T08:35:26.321Z",
    "description": "# CFO Forecasting Agent - Marketplace Listing\n\n## Headlines (Choose Your Favorite)\n\n### Option 1 - Direct & Professional\n**\"AI-Powered CFO Forecasting Agent: Automated Revenue Predictions from Stripe Data\"**\n\n### Option 2 - Benefit-Focused\n**\"Automate Your Financial Forecasting: Daily Revenue Predictions with AI Intelligence\"**\n\n### Option 3 - Action-Oriented\n**\"Transform Stripe Sales Data into Intelligent 3-Month Revenue Forecasts Automatically\"**\n\n---\n\n## Marketplace Description\n\n### 🚀 **AI-Powered Financial Forecasting on Autopilot**\n\nTurn your Stripe sales data into intelligent revenue forecasts with this comprehensive CFO Forecasting Agent. This workflow automatically analyzes your transaction history, identifies trends, and generates professional 3-month revenue predictions using OpenAI's GPT-4.\n\n### ✨ **What This Workflow Does:**\n\n- **📊 Automated Data Collection**: Fetches and processes all Stripe charges daily\n- **🤖 AI-Powered Analysis**: Uses OpenAI GPT-4 to analyze trends and predict future revenue\n- **📈 Structured Forecasting**: Generates monthly forecasts with confidence levels and insights\n- **💾 Multi-Platform Storage**: Saves results to both Supabase database and Google Sheets\n- **🕒 Scheduled Execution**: Runs automatically every day to keep forecasts current\n- **🧠 Smart Context**: Optional Pinecone integration for historical context and improved accuracy\n\n### 🔧 **Key Features:**\n\n- **Daily automated execution** at 9 AM\n- **Structured JSON output** with forecasts, trends, and confidence levels\n- **Dual storage system** for data backup and easy reporting\n- **RAG-enabled** for enhanced forecasting with historical context\n- **Professional CFO-grade insights** and trend analysis\n\n### 📋 **Prerequisites:**\n\n- Stripe account with API access\n- OpenAI API key (GPT-4 recommended)\n- Google Sheets API credentials\n- Supabase account (optional)\n- Pinecone account (optional, for enhanced context)\n\n### 🎯 **Perfect For:**\n\n- SaaS companies tracking subscription revenue\n- E-commerce businesses needing sales forecasts\n- Startups requiring investor-ready financial projections\n- Finance teams automating reporting workflows\n\n### 📦 **What You Get:**\n\n- Complete n8n workflow with all nodes configured\n- Detailed documentation and setup instructions\n- Sample data structure and output formats\n- Ready-to-use Google Sheets template\n\n---\n\n### 💡 **Need Help or Want to Learn More?**\n\n**Created by Yaron Been** - Automation & AI Specialist\n\n- 📧 **Support**: Yaron@nofluff.online\n- 🎥 **YouTube Tutorials**: [https://www.youtube.com/@YaronBeen/videos](https://www.youtube.com/@YaronBeen/videos)\n- 💼 **LinkedIn**: [https://www.linkedin.com/in/yaronbeen/](https://www.linkedin.com/in/yaronbeen/)\n\n*Get more automation tips, tutorials, and advanced workflows on my channels!*\n\n---\n\n### 🏷️ **Tags:** \n`AI`, `OpenAI`, `Stripe`, `Forecasting`, `Finance`, `CFO`, `Automation`, `Revenue`, `Analytics`, `GPT-4`",
    "workflow": {
      "id": "mHSoMMyypmRzfVZn",
      "meta": {
        "instanceId": "84ad02d6104594179f43f1ce9cfe3a81637b2faedb57dafcb9e649b7542988db"
      },
      "name": "CFO forecasting Agent",
      "tags": [],
      "nodes": [
        {
          "id": "b946638e-ba68-4d73-816e-00f3a63d138f",
          "name": "Structured Output Parser",
          "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
          "position": [
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          ],
          "parameters": {
            "jsonSchemaExample": "{\n  \"forecast\": {\n    \"June 2025\": \"$X,XXX.XX\",\n    \"July 2025\": \"$X,XXX.XX\",\n    \"August 2025\": \"$X,XXX.XX\"\n  },\n  \"trend\": \"Increasing / Decreasing / Stable\",\n  \"confidence\": \"High / Medium / Low\",\n  \"insights\": \"Short explanation of why this trend is predicted.\"\n}"
          },
          "typeVersion": 1.2
        },
        {
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          "name": "OpenAI Chat Model",
          "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
          "position": [
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          ],
          "parameters": {
            "model": {
              "__rl": true,
              "mode": "list",
              "value": "gpt-4o-mini"
            },
            "options": {}
          },
          "credentials": {
            "openAiApi": {
              "id": "credential-id",
              "name": "openAiApi Credential"
            }
          },
          "typeVersion": 1.2
        },
        {
          "id": "bb75cafb-9dad-4952-89af-0658c4d88aa4",
          "name": "Pinecone Vector Store",
          "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
          "position": [
            1200,
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          ],
          "parameters": {
            "mode": "retrieve-as-tool",
            "options": {},
            "toolName": "Sales_data",
            "pineconeIndex": {
              "__rl": true,
              "mode": "list",
              "value": "new",
              "cachedResultName": "new"
            },
            "toolDescription": "The data about stripe sales"
          },
          "credentials": {
            "pineconeApi": {
              "id": "credential-id",
              "name": "pineconeApi Credential"
            }
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          "name": "Embeddings OpenAI",
          "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
          "position": [
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          ],
          "parameters": {
            "options": {}
          },
          "credentials": {
            "openAiApi": {
              "id": "credential-id",
              "name": "openAiApi Credential"
            }
          },
          "typeVersion": 1.2
        },
        {
          "id": "81de1ecf-75de-44fd-9e62-c381e907c1e1",
          "name": "Run Daily Forecast",
          "type": "n8n-nodes-base.scheduleTrigger",
          "position": [
            0,
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          ],
          "parameters": {
            "rule": {
              "interval": [
                {
                  "triggerAtHour": 9
                }
              ]
            }
          },
          "typeVersion": 1.2
        },
        {
          "id": "9ce2e0e4-8784-4ed9-9499-b5f54241d04e",
          "name": "Fetch Stripe Charges",
          "type": "n8n-nodes-base.stripe",
          "position": [
            220,
            0
          ],
          "parameters": {
            "resource": "charge",
            "operation": "getAll",
            "returnAll": true
          },
          "typeVersion": 1
        },
        {
          "id": "c115eb0c-6877-46db-bf03-55e48527dbc5",
          "name": "Summarize Sales",
          "type": "n8n-nodes-base.code",
          "position": [
            440,
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          ],
          "parameters": {
            "jsCode": "const charges = items.map(item => item.json);\nconst summary = charges.reduce((acc, charge) => {\n  const date = new Date(charge.created * 1000).toISOString().split(\"T\")[0];\n  acc[date] = (acc[date] || 0) + charge.amount / 100;\n  return acc;\n}, {});\nreturn [{ json: { summary } }];\n"
          },
          "typeVersion": 2
        },
        {
          "id": "fb33581a-9f41-49d7-a722-a68dfe5bc265",
          "name": "Prepare data",
          "type": "n8n-nodes-base.set",
          "position": [
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          ],
          "parameters": {
            "options": {},
            "assignments": {
              "assignments": [
                {
                  "id": "6aa7f5d2-3aa4-4d4c-85df-0d56bb7b6c9e",
                  "name": "summary",
                  "type": "string",
                  "value": "={{ $json.summary }}"
                }
              ]
            }
          },
          "typeVersion": 3.4
        },
        {
          "id": "d3458681-2654-4e22-8b2d-1711b60ed592",
          "name": "Forecaster agent",
          "type": "@n8n/n8n-nodes-langchain.agent",
          "position": [
            1240,
            0
          ],
          "parameters": {
            "text": "=You are a CFO AI Agent. Based on the following Stripe sales data:\n\n{{ $json.summary }}\n\nAnalyze the trends, identify any patterns (growth, decline, seasonality), and forecast expected daily or weekly revenue for the next 3 months.",
            "options": {},
            "promptType": "define",
            "hasOutputParser": true
          },
          "typeVersion": 1.9
        },
        {
          "id": "325e4952-868c-460a-aa78-2e718477cc78",
          "name": "Save Forecast to Supabase",
          "type": "n8n-nodes-base.supabase",
          "position": [
            2100,
            -160
          ],
          "parameters": {
            "dataToSend": "autoMapInputData"
          },
          "typeVersion": 1
        },
        {
          "id": "9fd6efab-edc6-49be-9516-f2d36e1995b2",
          "name": "Log Forecast in Google Sheets",
          "type": "n8n-nodes-base.googleSheets",
          "position": [
            2100,
            120
          ],
          "parameters": {
            "columns": {
              "value": {
                "trend": "={{ $json.output.trend }}",
                "forecast": "={{ $json.output.forecast }}",
                "insights": "={{ $json.output.insights }}",
                "confidence": "={{ $json.output.confidence }}"
              },
              "schema": [
                {
                  "id": "forecast",
                  "type": "string",
                  "display": true,
                  "required": false,
                  "displayName": "forecast",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                },
                {
                  "id": "trend",
                  "type": "string",
                  "display": true,
                  "required": false,
                  "displayName": "trend",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                },
                {
                  "id": "confidence",
                  "type": "string",
                  "display": true,
                  "required": false,
                  "displayName": "confidence",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                },
                {
                  "id": "insights",
                  "type": "string",
                  "display": true,
                  "required": false,
                  "displayName": "insights",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                }
              ],
              "mappingMode": "defineBelow",
              "matchingColumns": [],
              "attemptToConvertTypes": false,
              "convertFieldsToString": false
            },
            "options": {},
            "operation": "append",
            "sheetName": {
              "__rl": true,
              "mode": "list",
              "value": "gid=0",
              "cachedResultUrl": "https://docs.google.com/spreadsheets/d/108tyyL--yUCbDk4drB__eztLSwjlxcmoRkqYsFnMLrY/edit#gid=0",
              "cachedResultName": "Sheet1"
            },
            "documentId": {
              "__rl": true,
              "mode": "list",
              "value": "108tyyL--yUCbDk4drB__eztLSwjlxcmoRkqYsFnMLrY",
              "cachedResultUrl": "https://docs.google.com/spreadsheets/d/108tyyL--yUCbDk4drB__eztLSwjlxcmoRkqYsFnMLrY/edit?usp=drivesdk",
              "cachedResultName": "CFO Forecasting"
            }
          },
          "credentials": {
            "googleSheetsOAuth2Api": {
              "id": "credential-id",
              "name": "googleSheetsOAuth2Api Credential"
            }
          },
          "typeVersion": 4.5
        },
        {
          "id": "241e625d-7019-4919-9f93-137461ad94bf",
          "name": "Sticky Note",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -40,
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          ],
          "parameters": {
            "color": 3,
            "width": 840,
            "height": 2120,
            "content": "## 1️⃣ **🔁 Data Retrieval & Preprocessing**\n\n**Nodes:**\n\n* 🕒 `Run Daily Forecast`\n* 🟦 `Fetch Stripe Charges`\n* 🧩 `Summarize Daily Sales`\n* ✏️ `Prepare Forecast Prompt`\n\n---\n\n### 🕒 `Run Daily Forecast`\n\n**Type:** Cron Trigger\n**Purpose:**\nAutomatically runs the workflow every day to keep forecasts updated with the latest sales data.\n\n🔧 **Configuration:**\n\n* Schedule: Daily at 6 AM UTC (or as needed)\n\n---\n\n### 🟦 `Fetch Stripe Charges`\n\n**Type:** Stripe Node\n**Purpose:**\nRetrieves all successful transactions from Stripe in a defined timeframe.\n\n📥 **Details:**\n\n* Resource: `Charges`\n* Operation: `Get Many`\n* Filters:\n\n  * `created[gte]` (e.g. last 30 days)\n  * `status: succeeded`\n* Expansion (optional): `data.customer` for customer context\n\n✅ **Output:** Raw Stripe sales data with timestamps and amounts\n\n---\n\n### 🧩 `Summarize Daily Sales`\n\n**Type:** Code Node\n**Purpose:**\nProcesses Stripe charges and summarizes revenue per day.\n\n🧠 **Logic:**\n\n* Converts Unix timestamps to `YYYY-MM-DD`\n* Aggregates total revenue per day\n* Converts cents to dollars\n\n📦 **Output Sample:**\n\n```json\n{\n  \"2025-05-01\": 1245.50,\n  \"2025-05-02\": 980.00\n}\n```\n\n---\n\n### ✏️ `Prepare Forecast Prompt`\n\n**Type:** Edit Fields / Function\n**Purpose:**\nFormats the summary into a natural language prompt for OpenAI.\n\n🧠 **Example Prompt:**\n\n```txt\nGiven the following sales data:\n{ \"2025-05-01\": 1245.50, ... }\n\nPredict trends and forecast sales for the next 3 months.\n```\n\n🧾 **Output:** `prompt` (String) → sent to the AI Agent\n"
          },
          "typeVersion": 1
        },
        {
          "id": "f60c6c15-8449-457a-aaad-2ebca8d75318",
          "name": "Sticky Note1",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            940,
            -1880
          ],
          "parameters": {
            "color": 6,
            "width": 840,
            "height": 2680,
            "content": "## 2️⃣ **🤖 AI Agent Forecasting**\n\n**Nodes:**\n\n* 🤖 `Forecast with OpenAI Agent`\n* 🧠 `OpenAI GPT-4 Model`\n* 📄 `Extract Forecast Output`\n* 🌲 `Store Context in Pinecone` *(Optional)*\n* 🧬 `Generate Embeddings` *(Optional)*\n\n---\n\n### 🤖 `Forecast with OpenAI Agent`\n\n**Type:** Tools Agent\n**Purpose:**\nActs as an intelligent agent that reads the sales summary and responds with forecasts and reasoning.\n\n🧠 **Prompt Input:**\nPassed from `Prepare Forecast Prompt`\n\n💬 **Uses:**\n\n* Model: `GPT-4`\n* Output Parser: Structured JSON format\n\n📈 **Forecast Intent:**\nPredicts next 3 months, identifies trends, and gives a confidence level\n\n---\n\n### 🧠 `OpenAI GPT-4 Model`\n\n**Type:** OpenAI Node\n**Purpose:**\nHandles the natural language generation based on the supplied prompt.\n\n🧾 **Configuration:**\n\n* Model: `gpt-4` or `gpt-4-turbo`\n* Temperature: `0.2` (more deterministic)\n* Max Tokens: `1000`\n\n---\n\n### 📄 `Extract Forecast Output`\n\n**Type:** Structured Output Parser\n**Purpose:**\nParses the GPT response into usable JSON format.\n\n📦 **Expected Output:**\n\n```json\n{\n  \"forecast\": {\n    \"June\": \"$15,000.00\",\n    \"July\": \"$16,500.00\",\n    \"August\": \"$17,200.00\"\n  },\n  \"trend\": \"Increasing\",\n  \"confidence\": \"High\",\n  \"insights\": \"Sales show strong momentum...\"\n}\n```\n\n---\n\n### 🌲 `Store Context in Pinecone` *(optional)*\n\n**Type:** Vector Store\n**Purpose:**\nIndexes past data for retrieval-based prompting (RAG). Useful for long-term memory.\n\n---\n\n### 🧬 `Generate Embeddings` *(optional)*\n\n**Type:** Embeddings Node\n**Purpose:**\nConverts text into vector format before inserting into Pinecone."
          },
          "typeVersion": 1
        },
        {
          "id": "8e9b2ea7-58bb-4f62-a69c-eed70032019c",
          "name": "Sticky Note2",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            1920,
            -1220
          ],
          "parameters": {
            "color": 5,
            "width": 460,
            "height": 1560,
            "content": "## 3️⃣ **📦 Storage & Reporting**\n\n**Nodes:**\n\n* 🟩 `Save Forecast to Supabase`\n* 📊 `Log Forecast in Google Sheets`\n\n---\n\n### 🟩 `Save Forecast to Supabase`\n\n**Type:** Supabase Node\n**Purpose:**\nStores all forecast results for analytics, versioning, or historical comparisons.\n\n🛢️ **Table:** `forecasts`\n🧾 **Columns Example:**\n\n| timestamp  | raw\\_data | forecast\\_data |\n| ---------- | --------- | -------------- |\n| 2025-05-29 | {...}     | {...}          |\n\n---\n\n### 📊 `Log Forecast in Google Sheets`\n\n**Type:** Google Sheets Node\n**Purpose:**\nPushes structured data into a visual format for reporting dashboards or human review.\n\n📋 **Column Format:**\n\n| Date       | Forecast (USD) | Trend      | Confidence | Insights                   |\n| ---------- | -------------- | ---------- | ---------- | -------------------------- |\n| 2025-05-29 | \\$15,000.00    | Increasing | High       | Sales rising at 10% weekly |\n\n---\n\n## ✅ Summary Flow\n\n```txt\n🔁 Sales Data (Stripe) \n → 🧠 Forecast Agent (OpenAI) \n → 📦 Stored in Supabase \n → 📊 Reported in Google Sheets"
          },
          "typeVersion": 1
        },
        {
          "id": "7d1186c9-cba1-4876-a405-fa67773b8dad",
          "name": "Sticky Note9",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -1840,
            -1800
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          "parameters": {
            "color": 4,
            "width": 1300,
            "height": 320,
            "content": "=======================================\n            WORKFLOW ASSISTANCE\n=======================================\nFor any questions or support, please contact:\n    Yaron@nofluff.online\n\nExplore more tips and tutorials here:\n   - YouTube: https://www.youtube.com/@YaronBeen/videos\n   - LinkedIn: https://www.linkedin.com/in/yaronbeen/\n=======================================\n"
          },
          "typeVersion": 1
        },
        {
          "id": "2b9e9108-8084-4e3f-a620-5bee07040bc3",
          "name": "Sticky Note4",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
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          "parameters": {
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            "width": 1289,
            "height": 4778,
            "content": "# 📊 CFO Forecasting Agent – Workflow Documentation\n\n---\n\n## 1️⃣ **🔁 Data Retrieval & Preprocessing**\n\n**Nodes:**\n\n* 🕒 `Run Daily Forecast`\n* 🟦 `Fetch Stripe Charges`\n* 🧩 `Summarize Daily Sales`\n* ✏️ `Prepare Forecast Prompt`\n\n---\n\n### 🕒 `Run Daily Forecast`\n\n**Type:** Cron Trigger\n**Purpose:**\nAutomatically runs the workflow every day to keep forecasts updated with the latest sales data.\n\n🔧 **Configuration:**\n\n* Schedule: Daily at 6 AM UTC (or as needed)\n\n---\n\n### 🟦 `Fetch Stripe Charges`\n\n**Type:** Stripe Node\n**Purpose:**\nRetrieves all successful transactions from Stripe in a defined timeframe.\n\n📥 **Details:**\n\n* Resource: `Charges`\n* Operation: `Get Many`\n* Filters:\n\n  * `created[gte]` (e.g. last 30 days)\n  * `status: succeeded`\n* Expansion (optional): `data.customer` for customer context\n\n✅ **Output:** Raw Stripe sales data with timestamps and amounts\n\n---\n\n### 🧩 `Summarize Daily Sales`\n\n**Type:** Code Node\n**Purpose:**\nProcesses Stripe charges and summarizes revenue per day.\n\n🧠 **Logic:**\n\n* Converts Unix timestamps to `YYYY-MM-DD`\n* Aggregates total revenue per day\n* Converts cents to dollars\n\n📦 **Output Sample:**\n\n```json\n{\n  \"2025-05-01\": 1245.50,\n  \"2025-05-02\": 980.00\n}\n```\n\n---\n\n### ✏️ `Prepare Forecast Prompt`\n\n**Type:** Edit Fields / Function\n**Purpose:**\nFormats the summary into a natural language prompt for OpenAI.\n\n🧠 **Example Prompt:**\n\n```txt\nGiven the following sales data:\n{ \"2025-05-01\": 1245.50, ... }\n\nPredict trends and forecast sales for the next 3 months.\n```\n\n🧾 **Output:** `prompt` (String) → sent to the AI Agent\n\n---\n\n## 2️⃣ **🤖 AI Agent Forecasting**\n\n**Nodes:**\n\n* 🤖 `Forecast with OpenAI Agent`\n* 🧠 `OpenAI GPT-4 Model`\n* 📄 `Extract Forecast Output`\n* 🌲 `Store Context in Pinecone` *(Optional)*\n* 🧬 `Generate Embeddings` *(Optional)*\n\n---\n\n### 🤖 `Forecast with OpenAI Agent`\n\n**Type:** Tools Agent\n**Purpose:**\nActs as an intelligent agent that reads the sales summary and responds with forecasts and reasoning.\n\n🧠 **Prompt Input:**\nPassed from `Prepare Forecast Prompt`\n\n💬 **Uses:**\n\n* Model: `GPT-4`\n* Output Parser: Structured JSON format\n\n📈 **Forecast Intent:**\nPredicts next 3 months, identifies trends, and gives a confidence level\n\n---\n\n### 🧠 `OpenAI GPT-4 Model`\n\n**Type:** OpenAI Node\n**Purpose:**\nHandles the natural language generation based on the supplied prompt.\n\n🧾 **Configuration:**\n\n* Model: `gpt-4` or `gpt-4-turbo`\n* Temperature: `0.2` (more deterministic)\n* Max Tokens: `1000`\n\n---\n\n### 📄 `Extract Forecast Output`\n\n**Type:** Structured Output Parser\n**Purpose:**\nParses the GPT response into usable JSON format.\n\n📦 **Expected Output:**\n\n```json\n{\n  \"forecast\": {\n    \"June\": \"$15,000.00\",\n    \"July\": \"$16,500.00\",\n    \"August\": \"$17,200.00\"\n  },\n  \"trend\": \"Increasing\",\n  \"confidence\": \"High\",\n  \"insights\": \"Sales show strong momentum...\"\n}\n```\n\n---\n\n### 🌲 `Store Context in Pinecone` *(optional)*\n\n**Type:** Vector Store\n**Purpose:**\nIndexes past data for retrieval-based prompting (RAG). Useful for long-term memory.\n\n---\n\n### 🧬 `Generate Embeddings` *(optional)*\n\n**Type:** Embeddings Node\n**Purpose:**\nConverts text into vector format before inserting into Pinecone.\n\n---\n\n## 3️⃣ **📦 Storage & Reporting**\n\n**Nodes:**\n\n* 🟩 `Save Forecast to Supabase`\n* 📊 `Log Forecast in Google Sheets`\n\n---\n\n### 🟩 `Save Forecast to Supabase`\n\n**Type:** Supabase Node\n**Purpose:**\nStores all forecast results for analytics, versioning, or historical comparisons.\n\n🛢️ **Table:** `forecasts`\n🧾 **Columns Example:**\n\n| timestamp  | raw\\_data | forecast\\_data |\n| ---------- | --------- | -------------- |\n| 2025-05-29 | {...}     | {...}          |\n\n---\n\n### 📊 `Log Forecast in Google Sheets`\n\n**Type:** Google Sheets Node\n**Purpose:**\nPushes structured data into a visual format for reporting dashboards or human review.\n\n📋 **Column Format:**\n\n| Date       | Forecast (USD) | Trend      | Confidence | Insights                   |\n| ---------- | -------------- | ---------- | ---------- | -------------------------- |\n| 2025-05-29 | \\$15,000.00    | Increasing | High       | Sales rising at 10% weekly |\n\n---\n\n## ✅ Summary Flow\n\n```txt\n🔁 Sales Data (Stripe) \n → 🧠 Forecast Agent (OpenAI) \n → 📦 Stored in Supabase \n → 📊 Reported in Google Sheets\n```\n"
          },
          "typeVersion": 1
        }
      ],
      "active": false,
      "pinData": {
        "Fetch Stripe Charges": [
          {
            "json": {
              "id": "ch_1NxXy2LzPp3ZhRAbCD123456",
              "amount": 3500,
              "object": "charge",
              "status": "succeeded",
              "created": 1716940800,
              "currency": "usd",
              "customer": {
                "id": "cus_N8U1xX5TVgB1vW",
                "name": "Jane Doe",
                "email": "jane.doe@example.com"
              },
              "description": "Pro plan subscription",
              "amount_captured": 3500,
              "amount_refunded": 0,
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        "displayName": "Stripe",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 2,
            "name": "Sales"
          },
          {
            "id": 8,
            "name": "Finance & Accounting"
          }
        ]
      },
      {
        "id": 545,
        "icon": "file:supabase.svg",
        "name": "n8n-nodes-base.supabase",
        "codex": {
          "data": {
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.supabase/"
                }
              ],
              "credentialDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/credentials/supabase/"
                }
              ]
            },
            "categories": [
              "Data & Storage"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0"
          }
        },
        "group": "[\"input\"]",
        "defaults": {
          "name": "Supabase"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
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        "displayName": "Supabase",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 3,
            "name": "Data & Storage"
          }
        ]
      },
      {
        "id": 565,
        "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": [
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            "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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"
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        "displayName": "Code",
        "typeVersion": 2,
        "nodeCategories": [
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            "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": 1141,
        "icon": "file:openAiLight.svg",
        "name": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
        "codex": {
          "data": {
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.embeddingsopenai/"
                }
              ]
            },
            "categories": [
              "AI",
              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Embeddings"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Embeddings OpenAI"
        },
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