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ClawHQ vs n8n

Workflow automation vs AI cost tracking

n8n is a workflow automation platform. ClawHQ is a fleet management command center for AI agents — with a fleet dashboard, cost intelligence, task board, and skill marketplace.

Feature
n8n
ClawHQ
Cost Tracking
❌ No AI cost tracking
✅ Full API spend analytics
Budget Alerts
❌ Not available
✅ Configurable thresholds
Workflow Automation
✅ Visual workflows
Cost tracking only
Model Analytics
❌ Not available
✅ Per-model cost breakdown
Spend Forecasting
❌ Not available
✅ Monthly projections
AI Focus
General automation
✅ AI/LLM cost management
Pricing
Free (self-host) or $20+/mo
$0-79/mo
Setup Time
30+ minutes
2 minutes
Agent Cost Attribution
❌ Not available
✅ Per-agent spend
Cost Optimization
❌ Not available
✅ Model recommendations

Why teams switch from n8n to ClawHQ

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Different tools for different jobs

n8n automates workflows. ClawHQ tracks AI costs. If your n8n workflows use LLMs, ClawHQ shows you what those API calls cost.

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AI-specific cost intelligence

ClawHQ understands AI costs: token pricing, model tiers, prompt optimization — things n8n wasn't designed to track.

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No infrastructure to manage

n8n self-hosted requires servers. ClawHQ is fully managed — just add your OTLP config and go.

Popular use cases

Api Spend Tracking →Budget Management →Model Cost Optimization →

Frequently Asked Questions

Is ClawHQ a replacement for n8n?

No. n8n automates workflows. ClawHQ tracks AI costs. If your n8n workflows call LLMs, use ClawHQ to monitor that API spend.

Can my n8n workflows send costs to ClawHQ?

Yes! Any service that can emit OTLP metrics can send cost data to ClawHQ for tracking.

Which is easier to set up?

ClawHQ takes 2 minutes. n8n cloud is quick too, but self-hosted n8n requires more setup.

Do I need both?

If you use n8n for AI workflows, ClawHQ adds cost visibility you can't get from n8n alone.

How do AI agents differ from n8n workflows?

AI agents make autonomous decisions using LLMs (which cost money per call). ClawHQ tracks those costs. n8n handles deterministic workflows.

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