Cyrille 
This workflow corresponds to n8n.io template #11960 — we link there as the canonical source.
This workflow follows the Agent → Gmail recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"id": "N7KWviJRX2umCMhS",
"meta": {
"templateCredsSetupCompleted": true
},
"name": "Twitter Agent",
"tags": [],
"nodes": [
{
"id": "0399c7f6-c5dd-4b4e-91db-549c7fec85bd",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-208,
-224
],
"parameters": {
"width": 740,
"height": 624,
"content": "# Try It Out!\n\nLaunch X-Ray\u2014your personal crypto intelligence agent that tracks market narratives, performs deep research, and drafts viral tweets.\n\n**To get started:**\n\n1. **Connect all credentials** (OpenAI, CryptoPanic, Google Search, Sheets & Gmail).\n2. **Setup your API Keys**:\n \u2022 **CryptoPanic**: Get your token [here](https://cryptopanic.com/developers/api/). *Pro Tip: Create a second account/key if you hit rate limits.*\n \u2022 **Google Search**: Enable the [Custom Search API](https://console.cloud.google.com/) and create a [Programmable Search Engine](https://programmablesearchengine.google.com/) for your CX ID.\n3. **Customize your niche**: Adjust the keywords in the **Narrative Analyst** agent (e.g., RWA, DeFi, L2).\n4. **Activate the workflow**: Receive daily tweet drafts in your inbox and Google Sheets for final review.\n\n## \u2699\ufe0f How it works:\n\u2022 \ud83d\udd0d **Monitor**: Fetches real-time news from CryptoPanic.\n\u2022 \ud83e\udde0 **Analyze**: AI filters for high-impact stories based on your niche.\n\u2022 \u270d\ufe0f **Draft**: Generates structured, viral tweet drafts with deep context.\n\u2022 \ud83d\udcec **Review**: \"Human-in-the-loop\" approval via Gmail & Sheets.\n\n## Questions or Need Help?\n\nFor setup assistance, customization, or workflow support \ud83c\udf10 [Contact me here](https://www.cadaero.ovh)\n\nHappy automating! -- Cyrille d'Urbal"
},
"typeVersion": 1
},
{
"id": "3f691ddb-d300-46c8-8ce8-323edd7138db",
"name": "Structured Output Parser",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
1840,
512
],
"parameters": {
"autoFix": true,
"jsonSchemaExample": "[\n {\n \"title\": \"Tether Set to Hit $15B Profit...\",\n \"summary\": \"Tether vise 15 Md$ de profit et pr\u00e9pare un nouveau stablecoin. Signal que les stablecoins deviennent un business g\u00e9ant.\",\n \"category\": \"stablecoin\",\n \"published_at\": \"2025-10-25\",\n \"slug\": \"Tether-Set-to-Hit-15B-Profit-Eyes-USAT-Stablecoin-Launch-in-December\",\n \"id\": \"1234\"\n }\n]\n"
},
"notesInFlow": true,
"typeVersion": 1.3
},
{
"id": "8e8e53ae-2962-4557-8926-63c41b6a9116",
"name": "Format output",
"type": "n8n-nodes-base.splitOut",
"position": [
2128,
112
],
"parameters": {
"options": {},
"fieldToSplitOut": "output"
},
"typeVersion": 1
},
{
"id": "b2abb6f4-5409-4a5c-a182-4878de23af94",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
624,
-224
],
"parameters": {
"color": 7,
"width": 1056,
"height": 1168,
"content": "## 1. Data Sourcing\n\nFetches the latest market news from CryptoPanic API\n\n### \ud83d\udca1 API Configuration\n**CryptoPanic Setup:**\n1. Log in to [CryptoPanic Developers](https://cryptopanic.com/developers/api/) to get your **API Token**.\n2. **Pro Tip**: If you hit rate limits, create a second account to generate an additional API Key as a fallback."
},
"typeVersion": 1
},
{
"id": "b261cc2b-9ff1-426e-ab4c-31fd20730ee3",
"name": "Save tweet",
"type": "n8n-nodes-base.googleSheets",
"notes": "SET UP CREDENTIALS\n\nCREATE A GOOGLE SHEET WITH FOLLOWING COLUMN\n\"date\"\n\"slug\"\n\"title\"\n\"category\"\n\"tweet\"",
"position": [
4192,
624
],
"parameters": {
"columns": {
"value": {
"id": "={{ $json['id'] }}",
"date": "={{ $json['published_at'] }}",
"slug": "={{ $json['slug'] }}",
"title": "={{ $json['title'] }}",
"tweet": "={{ $json['output'] }}",
"category": "={{ $json['category'] }}"
},
"schema": [
{
"id": "id",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "id",
"defaultMatch": true,
"canBeUsedToMatch": true
},
{
"id": "date",
"type": "string",
"display": true,
"required": false,
"displayName": "date",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "slug",
"type": "string",
"display": true,
"required": false,
"displayName": "slug",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "title",
"type": "string",
"display": true,
"required": false,
"displayName": "title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "category",
"type": "string",
"display": true,
"required": false,
"displayName": "category",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "tweet",
"type": "string",
"display": true,
"required": false,
"displayName": "tweet",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"id"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "appendOrUpdate",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1dnvrTH7GT1M_sS_UvSPY1bwuMspoO4O4-39kUmW6dyM/edit#gid=0",
"cachedResultName": "tweets"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1dnvrTH7GT1M_sS_UvSPY1bwuMspoO4O4-39kUmW6dyM",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1dnvrTH7GT1M_sS_UvSPY1bwuMspoO4O4-39kUmW6dyM/edit?usp=drivesdk",
"cachedResultName": "X news"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"name": "<your credential>"
}
},
"typeVersion": 4.7
},
{
"id": "f09c3497-ffc5-4788-a965-e52ec7020101",
"name": "Parser AI",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"notes": "SET UP CREDENTIALS",
"position": [
1840,
688
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"notesInFlow": true,
"typeVersion": 1.2
},
{
"id": "b444b206-3d4a-49fd-ae4e-468ee6355503",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
1744,
-224
],
"parameters": {
"color": 7,
"width": 944,
"height": 1168,
"content": "## 2. AI Filtering & Research\n\nIdentifies relevant news based on your keywords and performs deep research for context.\n\n### \ud83d\udca1 API Configuration\n**Google Custom Search Setup:**\n1. Enable the **Custom Search API** in the [Google Cloud Console](https://console.cloud.google.com/) to get your **API Key**.\n2. Create a search engine in the [Programmable Search Engine](https://programmablesearchengine.google.com/) to get your **Search Engine ID (CX)**."
},
"typeVersion": 1
},
{
"id": "01dcc912-7daa-4b9f-9f71-38b934fdc67c",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
2736,
-208
],
"parameters": {
"color": 7,
"width": 1024,
"height": 1168,
"content": "## 3. Content Creation\n\nExtracts full article content and generates engaging tweet drafts with a structured format.\n\n"
},
"typeVersion": 1
},
{
"id": "456a04e7-0840-4fd9-85be-0ac66c2f98d2",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
3808,
-208
],
"parameters": {
"color": 7,
"width": 848,
"height": 1168,
"content": "## 4. Archiving & Notification\n\nSaves everything to your database and sends a daily digest for your final approval."
},
"typeVersion": 1
},
{
"id": "202b45ba-9740-477e-8242-25f573e8c089",
"name": "Data Assembler",
"type": "n8n-nodes-base.merge",
"position": [
3152,
304
],
"parameters": {
"mode": "combine",
"options": {},
"combineBy": "combineByPosition",
"numberInputs": 3
},
"typeVersion": 3.2
},
{
"id": "79a24cd4-4ed5-4537-b273-8aa3c925c069",
"name": "Content Scraper",
"type": "n8n-nodes-base.httpRequest",
"onError": "continueRegularOutput",
"position": [
2816,
512
],
"parameters": {
"url": "={{ $json['items'][0]['link'] }}",
"options": {}
},
"typeVersion": 4.3,
"alwaysOutputData": false
},
{
"id": "6aca1e2f-9731-49c7-8de1-4ae46af3a01b",
"name": "Narrative Analyst",
"type": "@n8n/n8n-nodes-langchain.agent",
"notes": "SET UP CREDENTIALS",
"position": [
1776,
112
],
"parameters": {
"text": "=You are a crypto news analysis assistant designed for a beginner audience.\n\n\ud83c\udfaf GOAL:\nFrom a JSON array named \"results\", identify and summarize only the relevant news based on the criteria below, then return a structured JSON array usable by another system.\n\n\ud83e\udde9 SELECTION CRITERIA:\nKeep only news that discusses:\n\n* Stablecoins (USDT, USDC, CBDC, digital currencies, etc.)\n* Regulation, laws, or political decisions related to crypto\n* Real-world asset tokenization (RWA, tokenized securities, bonds, real estate, etc.)\n* Influential figures (presidents, CEOs, politicians, known investors, crypto figures like CZ, Saylor, Trump, etc.)\n* Known companies or institutions (BlackRock, FED, ECB, Ferrari, Apple, Google, Coinbase, Ripple, Tether, etc.)\n\n\u2699\ufe0f PROCESSING RULES:\n\n1. Iterate through each object in the `results` array.\n2. Keep only items that match at least one of the criteria above.\n3. For each selected news item:\n* Read: `title`, `description`, `published_at`.\n* Create a summary in **clear English**, maximum **2 sentences**.\n* Highlight:\n\u2022 Key figures ($, %, amounts, billions, numbers)\n\u2022 Known names (people, companies, institutions)\n\u2022 The impact (regulation, adoption, innovation, finance\u2026)\n* Avoid all technical jargon.\n\n\n4. Ignore news unrelated to these themes.\n5. No limit on the number of articles, but do not add anything if no news is relevant.\n\n\ud83d\udce6 OUTPUT FORMAT:\nYou MUST return a JSON array where each entry has exactly these keys:\n\n* \"title\": string\n* \"summary\": string\n* \"category\": one of these exact values: \"stablecoin\", \"regulation\", \"rwa\", \"personality\", \"institution\"\n* \"published_at\": ISO date YYYY-MM-DD (extract it from the `published_at` field)\n* \"source\": put the `slug` field here\n* \"id\": keep the original id\n\nEXPECTED FORMAT EXAMPLE (structure example, do not use as content):\n[\n {\n \"title\": \"Tether Set to Hit $15B Profit...\",\n \"summary\": \"Tether vise 15 Md$ de profit et pr\u00e9pare un nouveau stablecoin. Signal que les stablecoins deviennent un business g\u00e9ant.\",\n \"category\": \"stablecoin\",\n \"published_at\": \"2025-10-25\",\n \"slug\": \"Tether-Set-to-Hit-15B-Profit-Eyes-USAT-Stablecoin-Launch-in-December\",\n \"id\": \"1234\"\n }\n]\n\nIMPORTANT:\nYou MUST respond ONLY with a JSON array.\nNo intro.\nNo ```json.\nNo \"action\" field.\nNo \"text\" field.\nNo \"output\" field.\nOnly: [\n{ \"title\": \"...\", \"summary\": \"...\", \"category\": \"...\", \"published_at\": \"...\", \"source\": \"...\", \"id\": \"...\" },\n...\n]\n\nNOW PROCESS THIS DATA:\n{{ JSON.stringify($json[\"results\"], null, 2) }}",
"options": {},
"promptType": "define",
"hasOutputParser": true
},
"notesInFlow": true,
"typeVersion": 3.1
},
{
"id": "46b3ab20-1cf1-4334-84a4-9910d4299c0a",
"name": "Tweet Architect",
"type": "@n8n/n8n-nodes-langchain.agent",
"notes": "CUSTOMIZE TWEET",
"position": [
3504,
320
],
"parameters": {
"text": "=You are a copywriter specializing in crypto news.\nYour role is to write punchy, clear, and beginner-friendly tweets based on the provided content.\n\n\ud83c\udfaf GOAL\n\nUsing the JSON data below, you must generate a single punchy tweet accessible to a non-expert audience.\n\nThe `content` field already contains the cleaned text of the web page (article, press release, etc.): do not call any external tools.\n\n\ud83e\uddfe 1. Source Analysis\n\nAnalyze the following fields:\n\n`content` \u2192 full cleaned text of the article (no HTML)\n\n`title` \u2192 original title\n\n`summary` \u2192 short summary\n\n`category` \u2192 article theme (stablecoin, regulation, rwa, institution, personality\u2026)\n\n`published_at`, `slug`, `id`, `url`\n\nFrom these elements, identify:\n\nKey amounts ($, %, billions, etc.)\n\nKnown names (SEC, FED, Binance, Tether, Trump, BlackRock, HKMA, etc.)\n\nThe context (regulation, adoption, innovation, scam, etc.)\n\n\u270d\ufe0f 2. Tweet Writing Rules\n\nAlways start with: \ud83d\udea8 DAILY NEWS\n\nSpace out the text: use double line breaks between each block.\n\nPrioritize highlighting:\n\nA key figure (amount, %, billions, etc.)\n\nAn institution name or famous personality\n\nExplain in simple words what this means for a beginner (regulation, adoption, security, innovation\u2026).\n\nYou MUST end with the link: {{ $json[\"url\"] }}\n\nDo not exceed 280 characters (text + line breaks + link).\nA slight margin is tolerated for the link.\n\nAdd exactly 2 hashtags based on the category:\n\nstablecoin \u2192 #Stablecoin #Crypto\n\nregulation \u2192 #Regulation #Crypto\n\nrwa \u2192 #RWA #Finance\n\npersonnalite \u2192 #Web3 #Crypto\n\ninstitution \u2192 #Finance #Crypto\n\notherwise \u2192 #Crypto #Web3\n\nExpected style: clear, dynamic, factual, positive.\n\u26a0\ufe0f No jargon (e.g., \"Ponzi\", \"CBDC\", \"tokenization\") without explaining it in 3 simple words.\n\nExpected output: only the final tweet.\nNo explanation, justification, or preamble.\n\n\ud83d\udce6 3. Input Data (JSON)\n\nTitle: {{$json[\"title\"]}}\n\nSummary: {{$json[\"summary\"]}}\n\nCategory: {{$json[\"category\"]}}\n\nDate: {{$json[\"published_at\"]}}\n\nSlug: {{$json[\"slug\"]}}\n\nId: {{$json[\"id\"]}}\n\nURL: {{$json[\"url\"]}}\n\nContent: {{$json[\"content\"]}}\n\n\ud83d\udca1 4. Example Case\n\nIf `content` indicates that the Nigerian SEC reveals citizens lost $218M in Ponzi schemes, your tweet must:\n\nPut $218M right at the start,\n\nMention the SEC,\n\nBriefly explain the importance of regulation,\n\nEnd with the link,\n\nAnd include #Regulation #Crypto.\n\n\ud83e\uddfe 5. Output Format (Mandatory)\n\nProvide ONLY the final tweet, e.g.:\n\n\ud83d\udea8 DAILY NEWS\n\n\ud83c\uddf3\ud83c\uddec The Nigerian SEC warns: $218M vanished in Ponzi schemes.\n\nProof that without regulation or financial education, scams explode.\n\n[https://www.cryptopolitan.com/nigerians-have-lost-218-million-to-ponzi/](https://www.cryptopolitan.com/nigerians-have-lost-218-million-to-ponzi/)\n\n#Regulation #Crypto",
"options": {},
"promptType": "define"
},
"notesInFlow": true,
"typeVersion": 3
},
{
"id": "3cf6791b-5275-4c60-8983-36c36411c110",
"name": "Brain Engine",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
3504,
608
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-3.5-turbo",
"cachedResultName": "gpt-3.5-turbo"
},
"options": {}
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
},
{
"id": "3b1295d1-fa67-488e-ab67-2bd8b529c59e",
"name": "Daily Check",
"type": "n8n-nodes-base.scheduleTrigger",
"notes": "Customize the trigger. Currently every 6 hours",
"position": [
688,
128
],
"parameters": {
"rule": {
"interval": [
{
"field": "hours",
"hoursInterval": 6,
"triggerAtMinute": 59
}
]
}
},
"notesInFlow": true,
"typeVersion": 1.2
},
{
"id": "39b61974-b5cb-4216-b23a-15a161d1dcf7",
"name": "Fetch Market News",
"type": "n8n-nodes-base.httpRequest",
"notes": "Configure Auth",
"onError": "continueRegularOutput",
"position": [
1040,
128
],
"parameters": {
"url": "https://cryptopanic.com/api/developer/v2/posts/",
"options": {},
"authentication": "genericCredentialType",
"genericAuthType": "httpQueryAuth"
},
"credentials": {
"httpQueryAuth": {
"name": "<your credential>"
}
},
"notesInFlow": true,
"typeVersion": 4.2
},
{
"id": "2aec7d7e-bf8b-4c88-8c18-f1ef4f783441",
"name": "Fetch Market News Backup",
"type": "n8n-nodes-base.httpRequest",
"notes": "Configure Auth",
"onError": "continueRegularOutput",
"position": [
1504,
272
],
"parameters": {
"url": "https://cryptopanic.com/api/developer/v2/posts/",
"options": {},
"authentication": "genericCredentialType",
"genericAuthType": "httpQueryAuth"
},
"credentials": {
"httpQueryAuth": {
"name": "<your credential>"
}
},
"notesInFlow": true,
"typeVersion": 4.2
},
{
"id": "76788bf3-693d-4fc0-b2f7-734af7a5c795",
"name": "Check API Status",
"type": "n8n-nodes-base.if",
"position": [
1280,
128
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "1f0b803f-423c-4ee9-93b6-257c1dd986b8",
"operator": {
"type": "object",
"operation": "empty",
"singleValue": true
},
"leftValue": "={{ $json.error }}",
"rightValue": ""
}
]
}
},
"typeVersion": 2.2
},
{
"id": "9698af54-5b2e-418d-8487-ffe1987551bd",
"name": "Curation Intelligence",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"notes": "SET UP CREDIENTIALS",
"position": [
1776,
352
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"notesInFlow": true,
"typeVersion": 1.2
},
{
"id": "1b6a1e9b-f3b8-44c6-ad23-9f896001dc77",
"name": "Process Selected News",
"type": "n8n-nodes-base.splitInBatches",
"position": [
2336,
112
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "2b21ae70-ffcd-4ca7-a348-2b2d1d480c16",
"name": "Content Purifier",
"type": "n8n-nodes-base.code",
"position": [
2992,
512
],
"parameters": {
"jsCode": "\n\nconst html = $input.first().json.data ?? \"\";\n// Supprime les balises HTML, garde 10 000 premiers caract\u00e8res max\n\n const text = html.replace(/<script[\\s\\S]*?<\\/script>/gi, '')\n .replace(/<link[\\s\\S]*?<\\/link>/gi, '')\n .replace(/<meta[\\s\\S]*?<\\/meta>/gi, '')\n .replace(/<button[\\s\\S]*?<\\/button>/gi, '')\n .replace(/<li[\\s\\S]*?<\\/li>/gi, '')\n .replace(/<style[\\s\\S]*?<\\/style>/gi, '')\n .replace(/<footer[\\s\\S]*?<\\/footer>/gi, '') \n .replace(/<svg[\\s\\S]*?<\\/svg>/gi, '').trim();\n\n// Supprime les balises autofermantes comme <link />, <meta />, <img />, etc.\nconst cleantext = text.replace(/<\\s*(footer|button|link|meta|img|br|hr|input|source|track|wbr|embed|param|area|col|base|keygen|command|frame|iframe|object|picture|portal|slot|data|bgsound|isindex)[^>]*\\/?>/gi, '').trim();\n\nconst MAX = 12000;\nconst snippet = cleantext.slice(0, MAX)\n\nreturn [{ json: { content: snippet } }];"
},
"typeVersion": 2
},
{
"id": "e6cc79e1-104f-4c01-b562-ac0d7d18438d",
"name": "Daily Recap Aggregator",
"type": "n8n-nodes-base.merge",
"position": [
3984,
160
],
"parameters": {
"mode": "combine",
"options": {},
"combineBy": "combineAll"
},
"typeVersion": 3.2
},
{
"id": "7afe3973-928f-40c2-b068-1974ae645378",
"name": "Data Purifier",
"type": "n8n-nodes-base.code",
"position": [
3328,
320
],
"parameters": {
"jsCode": "const item = $input.first().json;\n\nconst first = item.items && item.items[0] ? item.items[0].link : null;\n\n// On supprime les champs inutiles (queries, kind, etc.)\n// Construit un nouvel objet en excluant \"queries\" et \"kind\"\nconst { queries, kind, searchInformation, context, items, ...cleaned } = item;\n\nreturn {\n json: {\n ...cleaned,\n url: first,\n },\n};\n"
},
"typeVersion": 2
},
{
"id": "832f6351-fd86-4cd6-be68-f63d4e60e98e",
"name": "Send Review Notification",
"type": "n8n-nodes-base.gmail",
"position": [
4160,
-32
],
"parameters": {
"sendTo": "user@example.com",
"message": "=Categorie: {{ $json['category'] }}\nDate: {{ $json['date'] }}\nTitre: {{ $json['title'] }}\n\n{{ $json['tweet'] }}\n\n",
"options": {
"appendAttribution": false
},
"subject": "={{$json['category']}} : {{ $json['title'] }}",
"emailType": "text"
},
"credentials": {
"gmailOAuth2": {
"name": "<your credential>"
}
},
"notesInFlow": false,
"typeVersion": 2.1
},
{
"id": "16d6768d-7159-4dfd-ba11-6a94c433e1cb",
"name": "Google Deep Context Research",
"type": "n8n-nodes-base.httpRequest",
"notes": "SET UP CREDENTIALS",
"position": [
2512,
432
],
"parameters": {
"url": "https://www.googleapis.com/customsearch/v1",
"options": {},
"sendQuery": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpQueryAuth",
"queryParameters": {
"parameters": [
{
"name": "=cx",
"value": "=015006539695750909647:jf5zbnim0fy"
},
{
"name": "q",
"value": "={{ $json['slug'] }}"
},
{
"name": "num",
"value": "1"
}
]
}
},
"credentials": {
"httpQueryAuth": {
"name": "<your credential>"
}
},
"notesInFlow": true,
"typeVersion": 4.3
}
],
"active": true,
"settings": {
"callerPolicy": "workflowsFromSameOwner",
"errorWorkflow": "N7KWviJRX2umCMhS",
"availableInMCP": false,
"executionOrder": "v1",
"timeSavedPerExecution": 10
},
"versionId": "c1de9d26-8b22-4857-bcde-a95a6adbd0a3",
"connections": {
"Parser AI": {
"ai_languageModel": [
[
{
"node": "Structured Output Parser",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Save tweet": {
"main": [
[
{
"node": "Process Selected News",
"type": "main",
"index": 0
}
]
]
},
"Daily Check": {
"main": [
[
{
"node": "Fetch Market News",
"type": "main",
"index": 0
}
]
]
},
"Brain Engine": {
"ai_languageModel": [
[
{
"node": "Tweet Architect",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Data Purifier": {
"main": [
[
{
"node": "Tweet Architect",
"type": "main",
"index": 0
}
]
]
},
"Format output": {
"main": [
[
{
"node": "Process Selected News",
"type": "main",
"index": 0
}
]
]
},
"Data Assembler": {
"main": [
[
{
"node": "Data Purifier",
"type": "main",
"index": 0
}
]
]
},
"Content Scraper": {
"main": [
[
{
"node": "Content Purifier",
"type": "main",
"index": 0
}
]
]
},
"Tweet Architect": {
"main": [
[
{
"node": "Daily Recap Aggregator",
"type": "main",
"index": 1
}
]
]
},
"Check API Status": {
"main": [
[
{
"node": "Narrative Analyst",
"type": "main",
"index": 0
}
],
[
{
"node": "Fetch Market News Backup",
"type": "main",
"index": 0
}
]
]
},
"Content Purifier": {
"main": [
[
{
"node": "Data Assembler",
"type": "main",
"index": 2
}
]
]
},
"Fetch Market News": {
"main": [
[
{
"node": "Check API Status",
"type": "main",
"index": 0
}
]
]
},
"Narrative Analyst": {
"main": [
[
{
"node": "Format output",
"type": "main",
"index": 0
}
]
]
},
"Curation Intelligence": {
"ai_languageModel": [
[
{
"node": "Narrative Analyst",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Process Selected News": {
"main": [
[
{
"node": "Send Review Notification",
"type": "main",
"index": 0
}
],
[
{
"node": "Daily Recap Aggregator",
"type": "main",
"index": 0
},
{
"node": "Google Deep Context Research",
"type": "main",
"index": 0
},
{
"node": "Data Assembler",
"type": "main",
"index": 0
}
]
]
},
"Daily Recap Aggregator": {
"main": [
[
{
"node": "Save tweet",
"type": "main",
"index": 0
}
]
]
},
"Fetch Market News Backup": {
"main": [
[
{
"node": "Narrative Analyst",
"type": "main",
"index": 0
}
]
]
},
"Structured Output Parser": {
"ai_outputParser": [
[
{
"node": "Narrative Analyst",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Google Deep Context Research": {
"main": [
[
{
"node": "Data Assembler",
"type": "main",
"index": 1
},
{
"node": "Content Scraper",
"type": "main",
"index": 0
}
]
]
}
}
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
gmailOAuth2googleSheetsOAuth2ApihttpQueryAuthopenAiApi
Pro
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About this workflow
Stop drowning in crypto noise. X-Ray is a high-performance "Human-in-the-loop" workflow that monitors the market 24/7, filters for high-impact narratives (like RWA), and prepares viral tweet drafts for your review.
Source: https://n8n.io/workflows/11960/ — original creator credit. Request a take-down →
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