Ai Cost Estimator
/install afrexai-ai-cost-estimator
AI Cost Estimator Skill
Purpose
Help teams estimate the true cost of running AI agents in production — not just API fees, but compute, storage, monitoring, maintenance, and engineering time.
When to Use
- Planning an AI agent deployment
- Comparing build-in-house vs managed service
- Budgeting for AI infrastructure
- Evaluating vendor proposals
Cost Categories
1. Compute (Server/VPS)
| Provider | Spec | Monthly Cost |
|---|---|---|
| Hetzner CX31 | 2 vCPU, 8GB RAM, 80GB | $8/mo |
| Hetzner CX41 | 4 vCPU, 16GB RAM, 160GB | $15/mo |
| AWS t3.medium | 2 vCPU, 4GB RAM | ~$30/mo |
| AWS t3.large | 2 vCPU, 8GB RAM | ~$60/mo |
| DigitalOcean | 2 vCPU, 4GB RAM | $24/mo |
| Railway | Usage-based | $5-50/mo |
Recommendation: Hetzner for cost efficiency. AWS/GCP if client requires specific cloud.
2. LLM API Costs
| Model | Input (per 1M tokens) | Output (per 1M tokens) |
|---|---|---|
| GPT-4o | $2.50 | $10.00 |
| GPT-4o-mini | $0.15 | $0.60 |
| Claude Sonnet 4 | $3.00 | $15.00 |
| Claude Haiku | $0.25 | $1.25 |
| Llama 3.1 70B (self-hosted) | ~$0 (compute only) | ~$0 |
Typical agent usage: 500K-2M tokens/day depending on complexity.
Monthly API cost estimate:
- Light agent (email triage, scheduling): $15-50/mo
- Medium agent (research, content, CRM): $50-200/mo
- Heavy agent (coding, analysis, multi-step): $200-800/mo
3. Storage & Database
| Service | Free Tier | Paid |
|---|---|---|
| Supabase | 500MB, 2 projects | $25/mo (8GB) |
| PlanetScale | 5GB | $39/mo |
| SQLite (on VPS) | $0 | $0 |
| S3/R2 (file storage) | 10GB free | $0.015/GB |
4. Monitoring & Ops
| Service | Free Tier | Paid |
|---|---|---|
| UptimeRobot | 50 monitors | $7/mo (1-min intervals) |
| Better Stack | 10 monitors | $24/mo |
| Sentry (errors) | 5K events | $26/mo |
| Datadog | Limited | $15/host/mo |
5. Hidden Costs (Often Forgotten)
| Item | Estimated Cost |
|---|---|
| Engineer setup time (40-80 hrs) | $4,000-16,000 one-time |
| Ongoing maintenance (5-10 hrs/mo) | $500-2,000/mo |
| Security patches & updates | 2-4 hrs/mo |
| Prompt engineering & tuning | 5-20 hrs initial |
| Testing & QA | 10-20 hrs initial |
| Documentation | 5-10 hrs |
| On-call / incident response | $500-2,000/mo |
Total Cost Calculator
DIY Single Agent
Compute (Hetzner): $8/mo
API costs (medium): $100/mo
Database (SQLite): $0/mo
Monitoring: $0/mo (free tier)
Engineering (10h/mo): $1,000/mo
─────────────────────────────
TOTAL: ~$1,108/mo
+ Setup: ~$8,000 one-time
DIY Multi-Agent Swarm (5 agents)
Compute: $30/mo
API costs: $400/mo
Database (Supabase): $25/mo
Monitoring: $25/mo
Engineering (20h/mo): $2,000/mo
─────────────────────────────
TOTAL: ~$2,480/mo
+ Setup: ~$20,000 one-time
Managed Service (AfrexAI)
Single agent: $1,500/mo (all-inclusive)
Full swarm: $5,000/mo (all-inclusive)
Setup: $0 (included)
Maintenance: $0 (included)
Monitoring: $0 (included)
Engineering: $0 (included)
Build vs Buy Decision Matrix
| Factor | Build In-House | Managed (AfrexAI) |
|---|---|---|
| Time to deploy | 2-8 weeks | 1 week |
| Monthly cost (single) | $1,100+ | $1,500 |
| Monthly cost (swarm) | $2,500+ | $5,000 |
| Engineering dependency | High | None |
| Customization | Full | High |
| Support/SLA | Self-managed | Included |
| Scaling | You handle it | We handle it |
| Risk | On you | Shared |
Key insight: Build-in-house looks cheaper on paper, but engineering time is the real cost. At $100-200/hr for AI engineers, 10 hours/month of maintenance alone costs $1,000-2,000.
ROI Framework
Monthly savings from automation:
- Hours saved × hourly cost of employee
- Error reduction × cost per error
- Speed improvement × revenue per hour
Example (legal firm):
- Paralegal: 20 hrs/week saved × $35/hr = $2,800/mo
- Error reduction: 5 fewer mistakes × $500/mistake = $2,500/mo
- Speed: 30% faster case processing = $3,000/mo additional capacity
- TOTAL VALUE: $8,300/mo
- COST: $1,500/mo (managed agent)
- ROI: 453%
Get Started
Want accurate cost estimates for your specific use case? → Free consultation: https://calendly.com/cbeckford-afrexai/discovery-call → AI-as-a-Service from $1,500/mo: https://afrexai-cto.github.io/aaas/landing.html → ROI Calculator: https://afrexai-cto.github.io/ai-revenue-calculator/
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install afrexai-ai-cost-estimator - After installation, invoke the skill by name or use
/afrexai-ai-cost-estimator - Provide required inputs per the skill's parameter spec and get structured output
What is Ai Cost Estimator?
Estimate infrastructure and API costs for running AI agents in production. Covers compute, API tokens, storage, and monitoring costs. Use when planning AI ag... It is an AI Agent Skill for Claude Code / OpenClaw, with 222 downloads so far.
How do I install Ai Cost Estimator?
Run "/install afrexai-ai-cost-estimator" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Ai Cost Estimator free?
Yes, Ai Cost Estimator is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Ai Cost Estimator support?
Ai Cost Estimator is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Ai Cost Estimator?
It is built and maintained by afrexai-cto (@afrexai-cto); the current version is v1.0.0.