{"workflow":{"id":14368,"name":"Generate real-time IPL commentary from CricAPI data with GPT-4o","views":43,"recentViews":2,"totalViews":43,"createdAt":"2026-03-26T12:20:02.969Z","description":"## 📊 Description\nIPL fans expect more than a scoreboard. They want to know what the score means — is the batting team ahead of the game, is the chase getting away from them, who has the pressure right now. This workflow answers all of that automatically by fetching live IPL match data every 6 minutes, computing key cricket indicators, and sending everything to GPT-4o which generates a punchy 2-sentence analyst-style narrative ready to embed in any fan app, widget, or dashboard without a single line of custom backend code.\nBuilt for fantasy cricket platforms, sports media companies, IPL fan apps, and broadcast technology teams who want to add intelligent real-time commentary to their products without hiring a commentary team or training machine learning models.\n\n## What This Workflow Does\n⏰ Fires automatically every 6 minutes between 2PM and 11PM covering all IPL match windows\n🌐 Accepts manual triggers via webhook for on-demand narrative generation at any time\n🏏 Fetches all current cricket matches from CricAPI in real time on every execution\n🔍 Dynamically identifies the live IPL match from the API response — no hardcoded match IDs\n🧮 Detects which innings is active and computes all key match indicators automatically\n🤖 Sends structured match context to GPT-4o which generates a 2-sentence human-sounding narrative\n📝 Logs every narrative to Google Sheets with full match context for audit and analytics\n📤 Returns a clean JSON response via webhook that any app or widget can poll in real time\n⚠️ Fires an email alert if any node fails so you always know when the workflow needs attention\n\n## Key Benefits\n✅ Fully dynamic — no hardcoded match IDs, works across the entire IPL season\n✅ Handles both 1st and 2nd innings with different logic and prompts per scenario\n✅ GPT-4o sounds like a human analyst not a notification system\n✅ Webhook response makes it embeddable in any fan app or widget instantly\n✅ Complete match log in Google Sheets — every narrative timestamped and stored\n✅ Falls back to any live T20 match when IPL is off-season so testing never breaks\n✅ Error trigger ensures failures never go unnoticed\n\n## How It Works\n\nTrigger Layer Two triggers run this workflow. The Schedule Trigger fires every 6 minutes between 2PM and 11PM IST covering both day games starting around 3:30PM and evening games starting around 7:30PM. The Webhook Trigger provides a manual entry point so developers can fire the workflow on demand for testing or to power a real-time polling architecture where a frontend app hits the webhook URL every few minutes to get the latest narrative. Both triggers feed into the same API call so the logic is completely identical regardless of how the workflow was triggered.\n\nData Fetch & Match Detection A single HTTP Request node fetches all current cricket matches from CricAPI's /v1/currentMatches endpoint. The Code node then scans the response and dynamically finds the live IPL match by checking that the match name contains \"IPL\" or \"Indian Premier League\", the match type is T20, and the match has started but not ended. No match IDs are hardcoded anywhere — the workflow finds the right match on every execution. When IPL is not in season the workflow falls back to any live T20 match so development and testing are never blocked.\n\nIndicator Computation Once the match is identified the Code node detects which innings is active based on how many score entries the API returns. For the 1st innings it computes the current run rate, overs remaining, wickets in hand, projected total, match phase (Powerplay / Middle / Death), and pressure level. For the 2nd innings it additionally computes the required run rate, runs needed, run rate gap between RRR and CRR, and a pressure index based on how difficult the chase is becoming. Both scenarios produce a structured flat object that gets assembled into a context-rich GPT-4o prompt tailored to the specific innings situation.\n\nAI Narrative Generation The prompt is sent to GPT-4o via HTTP Request with a system prompt that instructs the model to write exactly 2 sentences, use the specific numbers provided, sound like a human cricket analyst, use cricket language fans understand, and never use percentages. The result is a narrative like \"Mumbai Indians need 45 off 24 balls with 7 wickets in hand — the muscle is there but one collapse changes everything. Jasprit Bumrah has to be kept for the final two overs or this chase gets away from Kolkata.\" The narrative is then parsed from the API response and passed to both output nodes.\n\nOutput & Logging Every narrative is appended to a Google Sheets log with the full match context — timestamp, match name, innings, current over, score, target, RRR, CRR, phase, pressure level, and the narrative text. This creates a complete over-by-over record of every narrative generated across the entire match. Simultaneously the Respond to Webhook node returns a clean JSON payload containing the match name, innings, score, over, phase, pressure, narrative, and timestamp — ready for any frontend app or dashboard to consume directly.\n\n## Features\n- Cron-based schedule trigger covering all IPL match hours\n- Manual webhook trigger for on-demand generation and frontend polling\n- Single API call architecture — one HTTP node, no unnecessary API calls\n- Dynamic live IPL match detection — no hardcoded IDs\n- 1st innings mode — CRR, projected total, wickets in hand, phase, pressure\n- 2nd innings mode — RRR, CRR, run rate gap, runs needed, overs remaining, pressure\n- Three-tier match phase detection — Powerplay, Middle overs, Death overs\n- Pressure index computation based on RRR and wickets\n- GPT-4o via HTTP Request — stable across all n8n versions\n- Structured system prompt enforcing 2-sentence format and cricket language\n- Google Sheets append logging with full match context per narrative\n- Webhook JSON response for real-time frontend integration\n- No Operation node on false branch for clean workflow termination\n- Workflow-level Error Trigger with Gmail alert on any failure\n\n## Requirements\n- CricAPI account and API key — free tier at cricapi.com\n- OpenAI API key (GPT-4o access)\n- Google Sheets OAuth2 connection\n- Gmail OAuth2 connection (for error alerts)\n\n## Setup Steps\n- Sign up at cricapi.com and get your free API key\n- Create a Google Sheet called \"IPL Win Probability Log\" with the columns listed above\n- Paste your Sheet ID into the Google Sheets node\n- Connect your Google Sheets OAuth2 credentials\n- Add your OpenAI API key to the Authorization header of the GPT-4o HTTP Request node in the format Bearer YOUR_KEY\n- Connect your Gmail OAuth2 credentials to the error alert node\n- Activate the workflow\n\n## Target Audience\n🏏 Fantasy cricket platforms who want to add real-time match intelligence to their user experience\n📱 IPL fan apps and cricket portals looking for AI-generated commentary without a commentary team\n📺 Broadcast technology teams building real-time graphics and insight widgets\n🤖 Automation agencies building sports intelligence products for IPL franchise and media clients\n","workflow":{"id":"OmdrhvIGnaod6pOS","meta":{"instanceId":"8443f10082278c46aa5cf3acf8ff0f70061a2c58bce76efac814b16290845177","templateCredsSetupCompleted":true},"name":"Real-Time IPL Commentary Generator With Live API Data and GPT-4o Narratives","tags":[],"nodes":[{"id":"99d686e3-4136-4977-8d78-dd2a1ee2dfa0","name":"Schedule Trigger","type":"n8n-nodes-base.scheduleTrigger","position":[-96,224],"parameters":{"rule":{"interval":[{"field":"cronExpression","expression":"*/6 14-23 * * *"}]}},"typeVersion":1.3},{"id":"0fd36fb5-fa86-44a9-8937-f7bdad51e668","name":"Manual test trigger","type":"n8n-nodes-base.webhook","position":[-80,448],"webhookId":"08f25d4f-407e-46ec-8537-c84d4023132c","parameters":{"path":"ipl-narrative","options":{},"responseMode":"responseNode"},"typeVersion":2.1},{"id":"f1e1634c-04d0-4fe0-95e8-324eb63fba15","name":"Fetch live match list","type":"n8n-nodes-base.httpRequest","position":[320,304],"parameters":{"url":"https://api.cricapi.com/v1/currentMatches","options":{},"sendQuery":true,"queryParameters":{"parameters":[{"name":"apikey","value":"your_api_key"},{"name":"offset","value":"0"}]}},"typeVersion":4.3},{"id":"e0437979-34e0-49cc-980d-343bbcb7543e","name":"Narrative Generator","type":"@n8n/n8n-nodes-langchain.openAi","position":[1008,288],"parameters":{"modelId":{"__rl":true,"mode":"list","value":"gpt-4o-mini","cachedResultName":"GPT-4O-MINI"},"options":{},"responses":{"values":[{"content":"={{ $json.prompt }}"},{"role":"system","content":"You are an expert IPL cricket analyst. You write short punchy win-probability narratives for fan apps. Always be specific about numbers. Never use percentages. Always write exactly 2 sentences."}]},"builtInTools":{}},"credentials":{"openAiApi":{"id":"ODHuyqHDbzQIyI3P","name":"OpenAi account 4"}},"typeVersion":2.1},{"id":"fb301e1f-0c26-4ebc-be1c-485e6e8b327d","name":"Compute Match Indicators","type":"n8n-nodes-base.code","position":[528,304],"parameters":{"jsCode":"const response = $input.first().json;\n\nif (response.status !== \"success\") {\n  throw new Error(`CricAPI error: ${response.status}`);\n}\n\nconst matches = response.data || [];\n\n// Find live IPL match dynamically\nconst iplMatch = matches.find(m => {\n  const name = (m.name || '').toUpperCase();\n  const isIPL = name.includes('IPL') || name.includes('INDIAN PREMIER LEAGUE');\n  const isT20 = (m.matchType || '').toLowerCase() === 't20';\n  const isLive = m.matchStarted === true && m.matchEnded === false;\n  return isIPL && isT20 && isLive;\n});\n\n// Fallback to any live T20 for testing when IPL is not on\nconst match = iplMatch || matches.find(m =>\n  (m.matchType || '').toLowerCase() === 't20' &&\n  m.matchStarted === true &&\n  m.matchEnded === false &&\n  m.score && m.score.length > 0\n);\n\n// Further fallback — use any T20 with scores for demo purposes\nconst demoMatch = match || matches.find(m =>\n  (m.matchType || '').toLowerCase() === 't20' &&\n  m.score && m.score.length > 0\n);\n\nif (!demoMatch) {\n  return [{ json: { skip: true, reason: 'No T20 matches available' } }];\n}\n\nconst isLiveIPL = !!iplMatch;\nconst scores = demoMatch.score || [];\nconst innings = scores.length >= 2 ? '2nd' : '1st';\n\nlet narrative_data = {};\n\nif (innings === '1st') {\n  const batting = scores[0] || {};\n  const runs = batting.r || 0;\n  const wickets = batting.w || 0;\n  const overs = parseFloat(batting.o) || 0;\n  const oversRemaining = Math.max(0, 20 - overs);\n  const crr = overs > 0 ? (runs / overs).toFixed(2) : '0.00';\n  const projectedTotal = Math.round(runs + (parseFloat(crr) * oversRemaining));\n\n  let phase = 'Middle overs';\n  if (overs <= 6) phase = 'Powerplay';\n  else if (overs >= 15) phase = 'Death overs';\n\n  let pressure = 'Medium';\n  if (wickets >= 6) pressure = 'High';\n  else if (wickets <= 2 && overs <= 10) pressure = 'Low';\n\n  narrative_data = {\n    innings: '1st',\n    battingTeam: demoMatch.teams?.[0] || 'Team A',\n    bowlingTeam: demoMatch.teams?.[1] || 'Team B',\n    score: `${runs}/${wickets}`,\n    overs,\n    oversRemaining: oversRemaining.toFixed(1),\n    crr,\n    projectedTotal,\n    wicketsInHand: 10 - wickets,\n    phase,\n    pressure,\n    target: null,\n    rrr: null,\n    runsNeeded: null\n  };\n\n} else {\n  const firstInnings = scores[0] || {};\n  const secondInnings = scores[1] || {};\n  const target = (firstInnings.r || 0) + 1;\n  const runs = secondInnings.r || 0;\n  const wickets = secondInnings.w || 0;\n  const overs = parseFloat(secondInnings.o) || 0;\n  const oversRemaining = Math.max(0, 20 - overs);\n  const runsNeeded = target - runs;\n  const crr = overs > 0 ? (runs / overs).toFixed(2) : '0.00';\n  const rrr = oversRemaining > 0 ? (runsNeeded / oversRemaining).toFixed(2) : '99.00';\n  const rrrGap = (parseFloat(rrr) - parseFloat(crr)).toFixed(2);\n\n  let phase = 'Middle overs';\n  if (overs <= 6) phase = 'Powerplay';\n  else if (overs >= 15) phase = 'Death overs';\n\n  let pressure = 'Medium';\n  if (parseFloat(rrr) > 12 || wickets >= 7) pressure = 'High';\n  else if (parseFloat(rrr) < 8 && wickets <= 4) pressure = 'Low';\n\n  narrative_data = {\n    innings: '2nd',\n    battingTeam: demoMatch.teams?.[1] || 'Team B',\n    bowlingTeam: demoMatch.teams?.[0] || 'Team A',\n    score: `${runs}/${wickets}`,\n    overs,\n    oversRemaining: oversRemaining.toFixed(1),\n    target,\n    runsNeeded,\n    crr,\n    rrr,\n    rrrGap,\n    wicketsInHand: 10 - wickets,\n    phase,\n    pressure,\n    projectedTotal: null\n  };\n}\n\n// Build OpenAI prompt based on innings\nlet prompt = '';\n\nif (narrative_data.innings === '1st') {\n  prompt = `You are an IPL cricket commentator writing a punchy 2-sentence win-probability narrative for a fan app.\n\nMatch: ${narrative_data.battingTeam} vs ${narrative_data.bowlingTeam}\nInnings: 1st innings\nPhase: ${narrative_data.phase}\nScore: ${narrative_data.score} in ${narrative_data.overs} overs\nCurrent Run Rate: ${narrative_data.crr}\nWickets in Hand: ${narrative_data.wicketsInHand}\nOvers Remaining: ${narrative_data.oversRemaining}\nProjected Total: ${narrative_data.projectedTotal}\nPressure Level: ${narrative_data.pressure}\n\nWrite exactly 2 sentences. Be specific about the numbers provided. Sound like a human analyst not a robot. Use cricket language fans understand. No percentages allowed.`;\n\n} else {\n  prompt = `You are an IPL cricket commentator writing a punchy 2-sentence win-probability narrative for a fan app.\n\nMatch: ${narrative_data.battingTeam} chasing ${narrative_data.target} vs ${narrative_data.bowlingTeam}\nInnings: 2nd innings (chase)\nPhase: ${narrative_data.phase}\nScore: ${narrative_data.score} in ${narrative_data.overs} overs\nRuns Needed: ${narrative_data.runsNeeded} off ${narrative_data.oversRemaining} overs\nRequired Run Rate: ${narrative_data.rrr}\nCurrent Run Rate: ${narrative_data.crr}\nRun Rate Gap: ${narrative_data.rrrGap}\nWickets in Hand: ${narrative_data.wicketsInHand}\nPressure Level: ${narrative_data.pressure}\n\nWrite exactly 2 sentences. Be specific about the numbers provided. Sound like a human analyst not a robot. Use cricket language fans understand. No percentages allowed.`;\n}\n\nreturn [{\n  json: {\n    ...narrative_data,\n    matchName: demoMatch.name,\n    isLiveIPL,\n    prompt,\n    timestamp: new Date().toISOString()\n  }\n}];"},"typeVersion":2},{"id":"28927d49-279f-4bb2-98dd-bd97c78b8942","name":"Parse Narrative","type":"n8n-nodes-base.code","position":[1360,288],"parameters":{"jsCode":"const response = $input.first().json;\n\n// Correct path for n8n OpenAI node output\nconst narrative = response.output?.[0]?.content?.[0]?.text || 'Narrative unavailable.';\n\nconst data = $('Compute Match Indicators').first().json;\n\nreturn [{\n  json: {\n    ...data,\n    narrative\n  }\n}];"},"typeVersion":2},{"id":"c0eb01b1-facc-4e55-84da-fd996880a1be","name":"Respond to Webhook","type":"n8n-nodes-base.respondToWebhook","position":[1776,288],"parameters":{"options":{},"respondWith":"json","responseBody":"={\n  \"match\": \"{{ $json.match_name }}\",\n  \"innings\": \"{{ $json.innings }}\",\n  \"score\": \"{{ $json.score }}\",\n  \"over\": \"{{ $json.over }}\",\n  \"phase\": \"{{ $json.phase }}\",\n  \"pressure\": \"{{ $json.pressure }}\",\n  \"narrative\": \"{{ $json.narrative }}\",\n  \"timestamp\": \"{{ $json.timestamp }}\"\n}"},"typeVersion":1.5},{"id":"056f77d8-5c13-4219-a2db-24498169ba02","name":"Sticky Note","type":"n8n-nodes-base.stickyNote","position":[-976,-144],"parameters":{"width":432,"height":592,"content":"## Workflow Overview\n\n### How it works\n\nThis workflow turns live IPL match data into \nhuman-sounding win-probability narratives that \nupdate every 6 minutes throughout a match. It \nfetches live scores from CricAPI, computes key \ncricket indicators like required run rate, current \nrun rate, wickets in hand, match phase, and pressure \nlevel, then sends all of that context to GPT-4o \nwhich generates a 2-sentence analyst-style narrative \nready to embed in any fan app, widget, or dashboard.\n\n### Setup Steps\n\n1. Sign up at cricapi.com and get your API key\n2. Go to Settings → Variables and add CRICAPI_KEY\n3. Add your OpenAI API key to the HTTP Request node\n4. Create the Google Sheet with columns listed below\n5. Connect your Google Sheets OAuth2 credentials\n6. Activate the workflow — it runs automatically \n   every 6 minutes during match hours (2PM–11PM)\n7. Test anytime via the webhook URL\n\n"},"typeVersion":1},{"id":"7fcf17b7-9101-4fb8-a2c0-add2b9214939","name":"Sticky Note1","type":"n8n-nodes-base.stickyNote","position":[-256,-16],"parameters":{"color":7,"width":480,"height":656,"content":"Two triggers run this workflow. The Schedule Trigger fires automatically every 6 minutes between 2PM and 11PM covering all IPL match windows. The Webhook Trigger lets you fire it manually at any time for \ntesting or on-demand narrative generation without waiting for the schedule. Both triggers feed into the same API call so the logic is identical."},"typeVersion":1},{"id":"2718ebd0-1172-44a8-b581-6d14b884a18b","name":"Sticky Note2","type":"n8n-nodes-base.stickyNote","position":[256,176],"parameters":{"color":7,"width":640,"height":336,"content":"One API call to CricAPI fetches all current matches. The Code node filters for a live IPL match first — if IPL is not in season it falls back to any live T20 match for testing. It then detects which innings is active and computes all indicators — CRR, RRR, runs needed, overs remaining, wickets in hand, match phase, and pressure level. Both 1st and 2nd innings are handled with different prompt logic per scenario."},"typeVersion":1},{"id":"bb963c19-5fe5-42be-a292-d5cfd8c3ef7c","name":"Sticky Note3","type":"n8n-nodes-base.stickyNote","position":[912,160],"parameters":{"color":7,"width":608,"height":336,"content":"The computed indicators are assembled into a structured prompt and sent to GPT-4o via HTTP Request. The system prompt instructs the model to write exactly 2 sentences, use specific numbers, avoid percentages, and sound like a human cricket \nanalyst. The response is parsed and passed to both the Google Sheets log and the Webhook response node so any app polling the webhook gets the narrative instantly."},"typeVersion":1},{"id":"81e1a1c4-63df-4f14-ad92-507061325a24","name":"Sticky Note4","type":"n8n-nodes-base.stickyNote","position":[1536,112],"parameters":{"color":7,"width":496,"height":368,"content":"Every narrative is logged with timestamp, match name, innings, over, score, target, RRR, CRR, phase, pressure, and the full narrative text. 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