M Ayoub This workflow corresponds to n8n.io template #12796 — we link there as the canonical source.
This workflow follows the Discord → HTTP Request 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": "vjfcsEnVAOpoXe_p7mUL8",
"name": "Track crypto narrative trends and send AI sector analysis to Discord",
"tags": [],
"nodes": [
{
"id": "1ce5846c-3319-48b6-888a-c1c0df56e7fd",
"name": "Sticky Note - Overview",
"type": "n8n-nodes-base.stickyNote",
"position": [
-496,
-352
],
"parameters": {
"width": 420,
"height": 928,
"content": "## \ud83d\udd25 Crypto narrative trend tracker\n\n**Who is this for?**\nCrypto traders who want to identify trending sectors and narratives before they become mainstream.\n\n**What it does:**\nFetches top gaining cryptocurrencies, groups them by sector (AI, DeFi, Meme, Gaming, etc.), uses Gemini AI to analyze why each sector is pumping, and sends a formatted digest to Discord.\n\n**\u2705 Identifies Emerging Narratives!**\nAutomatically detects which crypto sectors are gaining momentum based on real-time market data.\n\n**How it works:**\n1. Triggers on schedule (configurable)\n2. Fetches top 200 gainers from CoinMarketCap API\n3. Filters tokens: >40% gain, >$10M market cap, >$1M volume\n4. Groups tokens by sector using tag analysis\n5. Gemini AI researches catalysts for each pumping sector\n6. Creates formatted digest report\n7. Splits message and sends to Discord\n\n**Setup steps:**\n- Get CoinMarketCap API key (free tier: 10K credits/month)\n- Get Google Gemini API key from Google AI Studio\n- Create Discord webhook in your server\n- Connect CMC credentials to Fetch Top Gainers node\n- Connect Gemini credentials to Gemini Sector Research node\n- Connect Discord webhook to Send to Discord node\n\n**Configuration:**\n- Adjust filters in Filter Top Gainers node (MIN_PERCENT_CHANGE, MIN_MARKET_CAP, MIN_VOLUME)\n- Modify sector mappings in Group Tokens by Sector node"
},
"typeVersion": 1
},
{
"id": "9677cd27-98b9-4e07-9ad6-6224e18b00b4",
"name": "Sticky Note - Data Collection",
"type": "n8n-nodes-base.stickyNote",
"position": [
160,
80
],
"parameters": {
"color": 7,
"width": 604,
"height": 184,
"content": "### \ud83d\udce5 Data Collection & Processing\nFetch gainers from CMC, filter by criteria, and group by sector"
},
"typeVersion": 1
},
{
"id": "a8a012f5-2a45-42b2-ac61-7b5f6acd513e",
"name": "Sticky Note - AI Analysis",
"type": "n8n-nodes-base.stickyNote",
"position": [
880,
16
],
"parameters": {
"color": 7,
"width": 1492,
"height": 200,
"content": "### \ud83e\udd16 AI Analysis & Output\nGenerate sector research prompts, analyze with Gemini, and send digest to Discord"
},
"typeVersion": 1
},
{
"id": "d72c6852-47b5-4f0d-aed3-38880a9d8675",
"name": "Schedule Trigger (Hourly)",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
-32,
208
],
"parameters": {
"rule": {
"interval": [
{}
]
}
},
"typeVersion": 1.3
},
{
"id": "ef3d5990-ae36-4671-980b-072f4e7a3f90",
"name": "Fetch Top 200 Gainers from CMC",
"type": "n8n-nodes-base.httpRequest",
"position": [
192,
208
],
"parameters": {
"url": "https://pro-api.coinmarketcap.com/v1/cryptocurrency/listings/latest",
"options": {},
"sendQuery": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"queryParameters": {
"parameters": [
{
"name": "limit",
"value": "200"
},
{
"name": "sort",
"value": "percent_change_24h"
},
{
"name": "sort_dir",
"value": "desc"
},
{
"name": "convert",
"value": "USD"
}
]
}
},
"typeVersion": 4.3
},
{
"id": "d1cac68e-d48a-4322-82de-8a3b50b9c33c",
"name": "Filter Top Gainers (40% gain, $10M MC, $1M vol)",
"type": "n8n-nodes-base.code",
"position": [
416,
208
],
"parameters": {
"jsCode": "var items = $input.all();\nvar cryptoData = items[0].json.data;\n\nvar MIN_PERCENT_CHANGE = 40;\nvar MIN_MARKET_CAP = 10000000;\nvar MIN_VOLUME = 1000000;\n\nvar filteredTokens = [];\n\nfor (var i = 0; i < cryptoData.length; i++) {\n var token = cryptoData[i];\n var percentChange = token.quote.USD.percent_change_24h;\n var marketCap = token.quote.USD.market_cap;\n var volume = token.quote.USD.volume_24h;\n \n if (percentChange >= MIN_PERCENT_CHANGE && \n marketCap >= MIN_MARKET_CAP && \n volume >= MIN_VOLUME) {\n filteredTokens.push({\n json: {\n name: token.name,\n symbol: token.symbol,\n price: token.quote.USD.price,\n percent_change_24h: token.quote.USD.percent_change_24h,\n market_cap: token.quote.USD.market_cap,\n volume_24h: token.quote.USD.volume_24h,\n tags: token.tags || []\n }\n });\n }\n}\n\nreturn filteredTokens;"
},
"typeVersion": 2
},
{
"id": "59fa7b69-0219-4180-b44c-0cb6933ed19a",
"name": "Group Tokens by Sector",
"type": "n8n-nodes-base.code",
"position": [
640,
208
],
"parameters": {
"jsCode": "var items = $input.all();\n\nvar sectorMapping = {\n 'ai': ['ai', 'artificial-intelligence', 'ai-big-data', 'gpt'],\n 'depin': ['depin', 'infrastructure', 'storage', 'oracle'],\n 'defi': ['defi', 'dex', 'lending', 'yield-farming', 'derivatives', 'stablecoin'],\n 'gaming': ['gaming', 'metaverse', 'nft', 'play-to-earn', 'collectibles'],\n 'rwa': ['rwa', 'real-world-assets', 'tokenized-assets'],\n 'layer1': ['layer-1', 'platform', 'smart-contracts'],\n 'layer2': ['layer-2', 'scaling', 'rollup'],\n 'meme': ['meme', 'memes', 'dog-themed'],\n 'infrastructure': ['oracle', 'data', 'storage', 'privacy', 'interoperability']\n};\n\nfunction determineSector(tags) {\n if (!tags || tags.length === 0) return 'other';\n \n var sectorKeys = Object.keys(sectorMapping);\n for (var s = 0; s < sectorKeys.length; s++) {\n var sector = sectorKeys[s];\n var keywords = sectorMapping[sector];\n for (var t = 0; t < tags.length; t++) {\n var tag = tags[t].toLowerCase();\n for (var k = 0; k < keywords.length; k++) {\n if (tag.indexOf(keywords[k]) !== -1) {\n return sector;\n }\n }\n }\n }\n return 'other';\n}\n\nvar tokensWithSectors = [];\nfor (var i = 0; i < items.length; i++) {\n var token = items[i].json;\n var sector = determineSector(token.tags);\n var tokenCopy = {};\n for (var key in token) {\n tokenCopy[key] = token[key];\n }\n tokenCopy.sector = sector;\n tokensWithSectors.push(tokenCopy);\n}\n\nvar sectorGroups = {};\nfor (var j = 0; j < tokensWithSectors.length; j++) {\n var tkn = tokensWithSectors[j];\n var sec = tkn.sector;\n if (!sectorGroups[sec]) {\n sectorGroups[sec] = [];\n }\n sectorGroups[sec].push(tkn);\n}\n\nvar sectorStats = [];\nvar sectorNames = Object.keys(sectorGroups);\nfor (var m = 0; m < sectorNames.length; m++) {\n var sectorName = sectorNames[m];\n var tokens = sectorGroups[sectorName];\n var totalGain = 0;\n for (var n = 0; n < tokens.length; n++) {\n totalGain += tokens[n].percent_change_24h;\n }\n var avgGain = totalGain / tokens.length;\n sectorStats.push({\n sector: sectorName,\n count: tokens.length,\n avgGain: avgGain.toFixed(2),\n tokens: tokens\n });\n}\n\nsectorStats.sort(function(a, b) { return b.count - a.count; });\n\nreturn [{\n json: {\n totalGainers: tokensWithSectors.length,\n sectorStats: sectorStats,\n allTokens: tokensWithSectors\n }\n}];"
},
"typeVersion": 2
},
{
"id": "9237ccd9-37ec-4ffa-af65-1322eae81200",
"name": "Prepare Gemini Research Prompts",
"type": "n8n-nodes-base.code",
"position": [
864,
128
],
"parameters": {
"jsCode": "var data = $input.first().json;\nvar sectorStats = data.sectorStats;\n\nvar sectorsToResearch = [];\nfor (var i = 0; i < sectorStats.length; i++) {\n if (sectorStats[i].count >= 2) {\n sectorsToResearch.push(sectorStats[i]);\n }\n}\n\nvar prompts = [];\nfor (var j = 0; j < sectorsToResearch.length; j++) {\n var sectorData = sectorsToResearch[j];\n \n var tokenList = '';\n for (var k = 0; k < sectorData.tokens.length; k++) {\n var t = sectorData.tokens[k];\n tokenList += '- ' + t.name + ' (' + t.symbol + '): +' + t.percent_change_24h.toFixed(2) + '% | MC: $' + (t.market_cap / 1000000).toFixed(2) + 'M\\n';\n }\n \n var prompt = 'You are a crypto market analyst. Analyze this sector pump:\\n\\n';\n prompt += 'SECTOR: ' + sectorData.sector.toUpperCase() + '\\n';\n prompt += 'Number of tokens pumping: ' + sectorData.count + '\\n';\n prompt += 'Average gain: ' + sectorData.avgGain + '%\\n\\n';\n prompt += 'TOKENS:\\n' + tokenList + '\\n';\n prompt += 'Please research and provide:\\n';\n prompt += '1. What is driving the ' + sectorData.sector + ' sector today? Search for recent news, announcements, or market catalysts.\\n';\n prompt += '2. Is this a sector-wide narrative or coincidental?\\n';\n prompt += '3. Key catalyst or event (be specific with dates/sources)\\n';\n prompt += '4. Risk assessment: Is this sustainable or likely a short-term pump?\\n';\n prompt += '5. Confidence level: High/Medium/Low\\n\\n';\n prompt += 'Keep response concise (3-4 paragraphs max).';\n\n prompts.push({\n json: {\n sector: sectorData.sector,\n prompt: prompt,\n tokenCount: sectorData.count,\n avgGain: sectorData.avgGain\n }\n });\n}\n\nreturn prompts;"
},
"typeVersion": 2
},
{
"id": "c06477be-d939-470d-afce-5b3e9c63d96e",
"name": "Gemini Sector Research",
"type": "@n8n/n8n-nodes-langchain.googleGemini",
"position": [
1088,
128
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "models/gemini-2.5-flash"
},
"options": {},
"messages": {
"values": [
{
"content": "={\n \"contents\": [{\n \"parts\": [{\n \"text\": \"={{ $json.prompt }}\"\n }]\n }],\n \"generationConfig\": {\n \"temperature\": 0.7,\n \"maxOutputTokens\": 1024\n }\n}"
}
]
}
},
"executeOnce": false,
"typeVersion": 1
},
{
"id": "2bfc1ab1-5520-4644-9bde-88d1b995b612",
"name": "Format Sector Analysis Results",
"type": "n8n-nodes-base.code",
"position": [
1440,
128
],
"parameters": {
"jsCode": "var items = $input.all();\n\nvar sectors = ['meme', 'ai'];\n\nvar sectorAnalyses = [];\nfor (var i = 0; i < items.length; i++) {\n var geminiResponse = items[i].json.content.parts[0].text;\n sectorAnalyses.push({\n json: {\n sector: sectors[i],\n analysis: geminiResponse\n }\n });\n}\n\nreturn sectorAnalyses;"
},
"typeVersion": 2
},
{
"id": "46954855-e9a0-4d83-ad31-450d635588f0",
"name": "Merge Sector Data with Analysis",
"type": "n8n-nodes-base.merge",
"position": [
1680,
224
],
"parameters": {
"mode": "combine",
"options": {},
"combineBy": "combineByPosition"
},
"typeVersion": 3.2
},
{
"id": "f0a6d9e7-47e1-46a2-9157-437029b31c7b",
"name": "Create Narrative Digest Report",
"type": "n8n-nodes-base.code",
"position": [
1840,
128
],
"parameters": {
"jsCode": "var mergedItem = $input.first().json;\n\nvar sectorData = mergedItem.sectorStats;\nvar analysis = mergedItem.analysis;\n\nvar now = new Date();\nvar dateStr = now.toLocaleString('en-US', { \n weekday: 'long', \n year: 'numeric', \n month: 'long', \n day: 'numeric',\n hour: '2-digit',\n minute: '2-digit',\n timeZone: 'UTC'\n});\n\nvar separator = '\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501';\n\nvar report = '\ud83d\udd25 CRYPTO NARRATIVE DIGEST\\n';\nreport += '\ud83d\udcc5 ' + dateStr + ' UTC\\n\\n';\nreport += separator + '\\n';\nreport += '\ud83d\udcca MARKET SNAPSHOT\\n';\nreport += 'Total Gainers: ' + mergedItem.totalGainers + ' tokens | ' + sectorData.length + ' sector(s) detected\\n';\nreport += separator + '\\n\\n';\n\nfor (var i = 0; i < sectorData.length; i++) {\n var sector = sectorData[i];\n var sectorEmoji = '\ud83d\udcc8';\n if (sector.sector === 'meme') sectorEmoji = '\ud83c\udfad';\n else if (sector.sector === 'ai') sectorEmoji = '\ud83e\udd16';\n else if (sector.sector === 'defi') sectorEmoji = '\ud83d\udcb0';\n else if (sector.sector === 'gaming') sectorEmoji = '\ud83c\udfae';\n \n report += separator + '\\n';\n report += sectorEmoji + ' SECTOR #' + (i + 1) + ': ' + sector.sector.toUpperCase() + '\\n\\n';\n \n report += '\ud83d\udcc8 PERFORMANCE:\\n';\n for (var j = 0; j < sector.tokens.length; j++) {\n var token = sector.tokens[j];\n report += (j + 1) + '. ' + token.name + ' (' + token.symbol + ')\\n';\n report += ' \u2022 Gain: +' + token.percent_change_24h.toFixed(2) + '%\\n';\n report += ' \u2022 Market Cap: $' + (token.market_cap / 1000000).toFixed(1) + 'M\\n';\n report += ' \u2022 Volume: $' + (token.volume_24h / 1000000).toFixed(1) + 'M\\n\\n';\n }\n \n if (analysis) {\n report += '\ud83d\udd0d KEY INSIGHTS:\\n';\n var paragraphs = analysis.split('\\n\\n');\n var paraNum = 1;\n for (var p = 0; p < paragraphs.length; p++) {\n var para = paragraphs[p].trim();\n if (para && para.indexOf('It appears there might be') === -1) {\n report += paraNum + '. ' + para + '\\n\\n';\n paraNum++;\n }\n }\n }\n}\n\nreport += separator + '\\n';\nreport += '\ud83d\udca1 Filters: >40% gain \u2022 >$10M market cap \u2022 >$1M volume\\n';\nreport += '\u26a0\ufe0f For research only - Not financial advice | DYOR\\n';\n\nreturn [{ \n json: { \n report: report, \n timestamp: now.toISOString()\n } \n}];"
},
"typeVersion": 2
},
{
"id": "557d704f-b691-46ee-9931-da6449e82343",
"name": "Split Report for Discord (2000 char limit)",
"type": "n8n-nodes-base.code",
"position": [
2048,
128
],
"parameters": {
"jsCode": "var report = $input.first().json.report;\n\nvar DISCORD_LIMIT = 1900;\n\nvar separator = '\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501';\nvar sections = report.split(separator);\n\nvar messages = [];\nvar currentMessage = '';\n\nfor (var i = 0; i < sections.length; i++) {\n var sectionText = sections[i].trim();\n \n if (!sectionText) continue;\n \n if ((currentMessage + sectionText).length > DISCORD_LIMIT) {\n if (currentMessage) {\n messages.push(currentMessage);\n }\n currentMessage = sectionText + '\\n' + separator + '\\n';\n } else {\n currentMessage += sectionText + '\\n' + separator + '\\n';\n }\n}\n\nif (currentMessage) {\n messages.push(currentMessage);\n}\n\nvar output = [];\nfor (var j = 0; j < messages.length; j++) {\n output.push({\n json: {\n content: messages[j],\n partNumber: j + 1,\n totalParts: messages.length\n }\n });\n}\n\nreturn output;"
},
"typeVersion": 2
},
{
"id": "5e6384e9-d277-4674-aa71-8e7a31f6c824",
"name": "Send to Discord",
"type": "n8n-nodes-base.discord",
"position": [
2256,
128
],
"parameters": {
"content": "=={{ $json.content }}",
"options": {},
"authentication": "webhook"
},
"typeVersion": 2
}
],
"active": false,
"settings": {
"availableInMCP": false,
"executionOrder": "v1"
},
"versionId": "db673829-2576-4433-a114-c37e6f4708af",
"connections": {
"Gemini Sector Research": {
"main": [
[
{
"node": "Format Sector Analysis Results",
"type": "main",
"index": 0
}
]
]
},
"Group Tokens by Sector": {
"main": [
[
{
"node": "Prepare Gemini Research Prompts",
"type": "main",
"index": 0
},
{
"node": "Merge Sector Data with Analysis",
"type": "main",
"index": 1
}
]
]
},
"Schedule Trigger (Hourly)": {
"main": [
[
{
"node": "Fetch Top 200 Gainers from CMC",
"type": "main",
"index": 0
}
]
]
},
"Create Narrative Digest Report": {
"main": [
[
{
"node": "Split Report for Discord (2000 char limit)",
"type": "main",
"index": 0
}
]
]
},
"Fetch Top 200 Gainers from CMC": {
"main": [
[
{
"node": "Filter Top Gainers (40% gain, $10M MC, $1M vol)",
"type": "main",
"index": 0
}
]
]
},
"Format Sector Analysis Results": {
"main": [
[
{
"node": "Merge Sector Data with Analysis",
"type": "main",
"index": 0
}
]
]
},
"Merge Sector Data with Analysis": {
"main": [
[
{
"node": "Create Narrative Digest Report",
"type": "main",
"index": 0
}
]
]
},
"Prepare Gemini Research Prompts": {
"main": [
[
{
"node": "Gemini Sector Research",
"type": "main",
"index": 0
}
]
]
},
"Split Report for Discord (2000 char limit)": {
"main": [
[
{
"node": "Send to Discord",
"type": "main",
"index": 0
}
]
]
},
"Filter Top Gainers (40% gain, $10M MC, $1M vol)": {
"main": [
[
{
"node": "Group Tokens by Sector",
"type": "main",
"index": 0
}
]
]
}
}
}
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About this workflow
Crypto traders, researchers, and investors who want to identify trending market narratives and sector rotations before they become mainstream news.
Source: https://n8n.io/workflows/12796/ — original creator credit. Request a take-down →
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