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Ai Cost Estimator
作者
afrexai-cto
· GitHub ↗
· v1.0.0
· MIT-0
222
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1
当前安装
1
版本数
在 OpenClaw 中安装
/install afrexai-ai-cost-estimator
功能描述
Estimate infrastructure and API costs for running AI agents in production. Covers compute, API tokens, storage, and monitoring costs. Use when planning AI ag...
使用说明 (SKILL.md)
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/
安全使用建议
This skill is an informational cost calculator and appears coherent and low-risk technically: it does not request credentials or install code. However, be aware it references and promotes a managed offering (AfrexAI) and includes external links — treat vendor claims (prices, SLA, "included" items) as potentially biased and verify them independently. Do not paste secrets or sensitive account details into any consultation forms; if you want automated, bespoke estimates, prefer skills that explicitly state what data they need and where it will be sent. If the skill later adds installation steps, network calls, or environment-variable requirements, re-evaluate before allowing it to run.
功能分析
Type: OpenClaw Skill
Name: afrexai-ai-cost-estimator
Version: 1.0.0
The skill bundle is an informational resource providing cost estimates for AI infrastructure, API usage, and maintenance. It contains no executable code, shell commands, or instructions that attempt to exfiltrate data or subvert the agent's security. While the content is promotional for the 'AfrexAI' service and includes external links (e.g., to GitHub Pages and Calendly), it lacks any indicators of malicious intent or technical risk.
能力评估
Purpose & Capability
The name/description match the SKILL.md content: it provides cost estimates and a build-vs-buy comparison. There are no unexpected requirements (no env vars, binaries, or installs) that would be out of scope for a cost-estimation guide.
Instruction Scope
SKILL.md is purely informational and contains tables, examples, and links; it does not instruct the agent to read local files, access system configuration, or transmit data to external services. The only external artifacts are marketing/consultation links, which are expected for a vendor-oriented estimator.
Install Mechanism
There is no install spec and no code files. As an instruction-only skill, it does not write to disk or pull external artifacts during install.
Credentials
The skill declares no required environment variables, credentials, or config paths. That is proportional for a pricing/estimation guide.
Persistence & Privilege
The skill is not marked always:true and uses normal agent invocation. It does not request persistent system privileges or attempt to modify other skills or agent-wide settings.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install afrexai-ai-cost-estimator - 安装完成后，直接呼叫该 Skill 的名称或使用
/afrexai-ai-cost-estimator触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
- Initial release of ai-cost-estimator skill.
- Provides detailed breakdowns of AI agent production costs including compute, API usage, storage, monitoring, and hidden engineering/maintenance expenses.
- Includes practical cost tables, DIY vs. managed service comparisons, and total cost calculators for both single and multi-agent scenarios.
- Features a build-vs-buy decision matrix and ROI calculator to support budgeting and strategic decisions.
- Helpful for teams planning deployments, budgeting, or evaluating vendors for AI agent infrastructure.
元数据
常见问题
Ai Cost Estimator 是什么？
Estimate infrastructure and API costs for running AI agents in production. Covers compute, API tokens, storage, and monitoring costs. Use when planning AI ag... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 222 次。
如何安装 Ai Cost Estimator？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install afrexai-ai-cost-estimator」即可一键安装，无需额外配置。
Ai Cost Estimator 是免费的吗？
是的，Ai Cost Estimator 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Ai Cost Estimator 支持哪些平台？
Ai Cost Estimator 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Ai Cost Estimator？
由 afrexai-cto（@afrexai-cto）开发并维护，当前版本 v1.0.0。
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