The workflow JSON
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{
"name": "FaktCheckr \u2013 Automated Fact-Check Pipeline",
"nodes": [
{
"parameters": {
"httpMethod": "POST",
"path": "faktcheck-webhook",
"responseMode": "responseNode",
"options": {}
},
"id": "node-webhook-trigger",
"name": "Webhook Trigger",
"type": "n8n-nodes-base.webhook",
"typeVersion": 1,
"position": [
240,
300
],
"notes": "Entry point. POST JSON: { \"text\": \"claim to verify\" }\nURL: http://your-n8n-host:5678/webhook/faktcheck-webhook"
},
{
"parameters": {
"functionCode": "// Validate and sanitise incoming payload\nconst body = $input.first().json;\nconst text = (body.text || body.message || body.claim || '').trim();\n\nif (!text) {\n throw new Error('Missing required field: text');\n}\n\nif (text.length > 2000) {\n throw new Error('Input too long (max 2000 chars)');\n}\n\nreturn [{ json: { text, notify: body.notify !== false, source_channel: body.source || 'n8n-webhook' } }];"
},
"id": "node-validate-input",
"name": "Validate Input",
"type": "n8n-nodes-base.function",
"typeVersion": 1,
"position": [
460,
300
]
},
{
"parameters": {
"method": "POST",
"url": "http://api-gateway:8000/verify",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Content-Type",
"value": "application/json"
}
]
},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "text",
"value": "={{ $json.text }}"
},
{
"name": "notify",
"value": "={{ $json.notify }}"
}
]
},
"options": {
"timeout": 90000,
"response": {
"response": {
"responseFormat": "json"
}
}
}
},
"id": "node-call-faktcheckr",
"name": "Call FaktCheckr API",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 3,
"position": [
680,
300
],
"notes": "Calls the FaktCheckr API Gateway.\nAdjust URL if running outside Docker: http://localhost:8000/verify"
},
{
"parameters": {
"functionCode": "// Route based on overall verdict\nconst result = $input.first().json;\nconst verdict = (result.overall_verdict || 'UNVERIFIED').toUpperCase();\nconst confidence = result.overall_confidence || 0;\n\n// Attach routing metadata\nreturn [{\n json: {\n ...result,\n _routing: {\n verdict,\n confidence,\n is_false: verdict === 'FALSE',\n is_true: verdict === 'TRUE',\n is_misleading: verdict === 'MISLEADING',\n is_unverified: verdict === 'UNVERIFIED',\n high_confidence: confidence >= 0.75,\n medium_confidence: confidence >= 0.4 && confidence < 0.75,\n low_confidence: confidence < 0.4,\n }\n }\n}];"
},
"id": "node-route-verdict",
"name": "Route by Verdict",
"type": "n8n-nodes-base.function",
"typeVersion": 1,
"position": [
900,
300
]
},
{
"parameters": {
"conditions": {
"boolean": [
{
"value1": "={{ $json._routing.is_false }}",
"value2": true
}
]
}
},
"id": "node-if-false",
"name": "Is FALSE?",
"type": "n8n-nodes-base.if",
"typeVersion": 1,
"position": [
1120,
200
],
"notes": "Branch: FALSE verdicts get priority alerting"
},
{
"parameters": {
"conditions": {
"boolean": [
{
"value1": "={{ $json._routing.is_misleading }}",
"value2": true
}
]
}
},
"id": "node-if-misleading",
"name": "Is MISLEADING?",
"type": "n8n-nodes-base.if",
"typeVersion": 1,
"position": [
1120,
400
],
"notes": "Branch: MISLEADING gets warning-level alert"
},
{
"parameters": {
"functionCode": "// Format a summary for logging / downstream use\nconst d = $input.first().json;\nconst verdicts = d.verdicts || [];\n\nconst summary = verdicts.map((v, i) => {\n const aiTag = v.enhanced_sources && v.enhanced_sources.length\n ? ` [via ${v.enhanced_sources.join(', ')}]`\n : ' [via FAISS retrieval]';\n return `Claim ${i+1}: ${v.raw_claim.substring(0, 80)}\\n` +\n ` \u2192 ${v.verdict} (${Math.round(v.confidence * 100)}%)${aiTag}\\n` +\n ` Explanation: ${v.explanation.substring(0, 150)}`;\n}).join('\\n\\n');\n\nreturn [{\n json: {\n request_id: d.request_id,\n input_text: d.input_text,\n overall_verdict: d.overall_verdict,\n overall_confidence: d.overall_confidence,\n claim_count: verdicts.length,\n processing_ms: d.processing_time_ms,\n summary_text: summary,\n timestamp: new Date().toISOString(),\n raw_response: d,\n }\n}];"
},
"id": "node-format-summary",
"name": "Format Summary",
"type": "n8n-nodes-base.function",
"typeVersion": 1,
"position": [
1340,
300
]
},
{
"parameters": {
"functionCode": "// Build a webhook response for the original caller\nconst d = $input.first().json;\nreturn [{\n json: {\n status: 'ok',\n request_id: d.request_id,\n overall_verdict: d.overall_verdict,\n confidence: d.overall_confidence,\n claims_checked: d.claim_count,\n processing_ms: d.processing_ms,\n message: `Verified ${d.claim_count} claim(s). Overall: ${d.overall_verdict} (${Math.round(d.overall_confidence*100)}% confidence)`,\n }\n}];"
},
"id": "node-build-response",
"name": "Build Response",
"type": "n8n-nodes-base.function",
"typeVersion": 1,
"position": [
1560,
300
]
},
{
"parameters": {
"respondWith": "json",
"responseBody": "={{ JSON.stringify($json) }}",
"options": {
"responseCode": 200
}
},
"id": "node-respond-webhook",
"name": "Respond to Webhook",
"type": "n8n-nodes-base.respondToWebhook",
"typeVersion": 1,
"position": [
1780,
300
]
},
{
"parameters": {
"functionCode": "// Log FALSE verdict to console / n8n execution log\nconst d = $input.first().json;\nconsole.log(`[FaktCheckr] FALSE CLAIM DETECTED`);\nconsole.log(` Request: ${d.request_id}`);\nconsole.log(` Text: ${d.input_text.substring(0, 100)}`);\nconsole.log(` Confidence: ${Math.round(d._routing.confidence * 100)}%`);\nreturn $input.all();"
},
"id": "node-log-false",
"name": "Log FALSE Alert",
"type": "n8n-nodes-base.function",
"typeVersion": 1,
"position": [
1120,
80
],
"notes": "Extend this node to write to a Google Sheet, database, or Slack"
},
{
"parameters": {
"functionCode": "// Log MISLEADING verdict\nconst d = $input.first().json;\nconsole.log(`[FaktCheckr] MISLEADING CLAIM`);\nconsole.log(` Request: ${d.request_id}`);\nconsole.log(` Text: ${d.input_text.substring(0, 100)}`);\nreturn $input.all();"
},
"id": "node-log-misleading",
"name": "Log MISLEADING Alert",
"type": "n8n-nodes-base.function",
"typeVersion": 1,
"position": [
1120,
520
],
"notes": "Extend to write to a moderation queue"
},
{
"parameters": {
"functionCode": "// Handle errors from FaktCheckr API call\nconst error = $input.first().error || {};\nconsole.error('[FaktCheckr] Pipeline error:', error.message || 'Unknown error');\nreturn [{\n json: {\n status: 'error',\n error: error.message || 'FaktCheckr pipeline failed',\n timestamp: new Date().toISOString(),\n }\n}];"
},
"id": "node-handle-error",
"name": "Handle Error",
"type": "n8n-nodes-base.function",
"typeVersion": 1,
"position": [
680,
500
],
"notes": "Catches errors from the HTTP request node"
},
{
"parameters": {
"respondWith": "json",
"responseBody": "={{ JSON.stringify($json) }}",
"options": {
"responseCode": 500
}
},
"id": "node-respond-error",
"name": "Respond Error",
"type": "n8n-nodes-base.respondToWebhook",
"typeVersion": 1,
"position": [
900,
500
]
}
],
"connections": {
"Webhook Trigger": {
"main": [
[
{
"node": "Validate Input",
"type": "main",
"index": 0
}
]
]
},
"Validate Input": {
"main": [
[
{
"node": "Call FaktCheckr API",
"type": "main",
"index": 0
}
]
]
},
"Call FaktCheckr API": {
"main": [
[
{
"node": "Route by Verdict",
"type": "main",
"index": 0
}
],
[
{
"node": "Handle Error",
"type": "main",
"index": 0
}
]
]
},
"Route by Verdict": {
"main": [
[
{
"node": "Is FALSE?",
"type": "main",
"index": 0
}
],
[
{
"node": "Is MISLEADING?",
"type": "main",
"index": 0
}
],
[
{
"node": "Format Summary",
"type": "main",
"index": 0
}
]
]
},
"Is FALSE?": {
"main": [
[
{
"node": "Log FALSE Alert",
"type": "main",
"index": 0
}
],
[
{
"node": "Format Summary",
"type": "main",
"index": 0
}
]
]
},
"Is MISLEADING?": {
"main": [
[
{
"node": "Log MISLEADING Alert",
"type": "main",
"index": 0
}
],
[
{
"node": "Format Summary",
"type": "main",
"index": 0
}
]
]
},
"Log FALSE Alert": {
"main": [
[
{
"node": "Format Summary",
"type": "main",
"index": 0
}
]
]
},
"Log MISLEADING Alert": {
"main": [
[
{
"node": "Format Summary",
"type": "main",
"index": 0
}
]
]
},
"Format Summary": {
"main": [
[
{
"node": "Build Response",
"type": "main",
"index": 0
}
]
]
},
"Build Response": {
"main": [
[
{
"node": "Respond to Webhook",
"type": "main",
"index": 0
}
]
]
},
"Handle Error": {
"main": [
[
{
"node": "Respond Error",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1",
"saveManualExecutions": true,
"callerPolicy": "workflowsFromSameOwner",
"errorWorkflow": ""
},
"staticData": null,
"tags": [
"faktcheckr",
"fact-checking",
"automation"
],
"meta": {
"templateCredsSetupCompleted": true
},
"versionId": "1.0.0",
"id": "faktcheckr-main-workflow",
"_readme": {
"description": "FaktCheckr n8n Workflow",
"how_to_import": [
"1. Open n8n (http://localhost:5678)",
"2. Click 'Workflows' \u2192 'Import from file'",
"3. Select this JSON file",
"4. Activate the workflow",
"5. POST to: http://your-n8n:5678/webhook/faktcheck-webhook"
],
"example_request": {
"method": "POST",
"url": "http://localhost:5678/webhook/faktcheck-webhook",
"body": {
"text": "COVID vaccine causes autism",
"notify": true
}
},
"extending": [
"Log FALSE claims to Google Sheets: add a Google Sheets node after 'Log FALSE Alert'",
"Slack alerts: add Slack node after 'Log FALSE Alert' with webhook URL",
"Schedule periodic checks: replace Webhook Trigger with Cron Trigger node",
"WhatsApp input: add Twilio node as trigger, connect to Validate Input"
]
}
}
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About this workflow
FaktCheckr – Automated Fact-Check Pipeline. Uses httpRequest. Webhook trigger; 13 nodes.
Source: https://github.com/AnswinMariya/intel_challenge/blob/c390c3c30a5c48ea6f1a3475496d2777b9f4d887/n8n/faktcheckr_workflow.json — original creator credit. Request a take-down →
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