StackMeter

Running multiple AI agents like OpenClaw? Your API costs can spiral fast, especially when prompt caching makes traditional usage tracking misleading. StackMeter gives you session-level cost visibility for OpenAI and Anthropic APIs, showing exactly what each agent run costs, which sessions benefit from cached prompts, and how costs break down across machines. 🤖 **AI API Usage Tracking (OpenClaw native)** • Per-session breakdowns with start/end times • Cache read/write tracking (see which sessions paid for cache writes vs benefited from reads) • Multi-machine support (track dev laptop vs production) • Model-level analytics (compare GPT-4o vs Claude Sonnet costs) • Effective cost per 1k tokens (accounting for cache savings) • Privacy-first: monitor usage without sharing API keys One command to get started: `npx @stackmeter/cli connect openclaw --auto` 💰 **Full SaaS Stack Tracking** • Auto-detect tools from GitHub repos (Stripe, Supabase, Vercel, etc.) • Track fixed subscriptions + usage-based costs in one dashboard • Budget alerts when spending hits thresholds • Annual cost projections 📊 **Built for Teams Running Multiple Agents** When you're running Claude Code, OpenClaw, and background automations, attribution gets messy. StackMeter handles: - Shared context costs across sessions - Cross-machine usage aggregation - Provider comparison (OpenAI vs Anthropic) - Cost spike detection **Free tier:** 7-day data retention, unlimited tracking **Pro ($9/mo):** 90-day retention, data export