COMPARE
AISpendGuard vs CostLayer
CostLayer reads your billing data hourly. AISpendGuard gives you per-call attribution in real time — without ever seeing your prompts.
| Feature | AISpendGuard | CostLayer |
|---|---|---|
| Stores prompts | ✗ | Claims "reads only usage metadata" |
| Privacy approach | Tags-only SDK — prompts never leave your environment | AES-256-GCM encryption of API keys |
| Waste detection with $/mo savings | 5 rule types with dollar amounts | Model swap recommendations (30–50% claimed) |
| Cost attribution by feature/route | Per-call, real-time | By model, team, project, API key |
| Data freshness | Real-time (per API call) | Hourly (billing API polling) |
| Per-call attribution | ✓ | ✗ |
| Budget alerts | ✓ | Email + Slack |
| Spend forecasting | ✓ | ✓ |
| Multi-framework SDK | LangChain, LiteLLM, CrewAI, OpenClaw, OTLP | ✗ |
| Agent/trace-level costs | trace_id grouping | ✗ |
| EUR pricing | €19/mo | USD only: $7.42–$62.42/mo |
| EU-hosted infrastructure | Neon Frankfurt, Vercel fra1 | Unknown |
| GDPR compliance | By design (no prompt storage) | Unknown |
| Free tier | 50,000 events/mo | Unknown |
How We Get Your Data
CostLayer reads your billing data by connecting to provider APIs with your API keys. Data is updated hourly. This gives you aggregated totals — what you spent on each model — but can’t tell you which line of code or which feature drove the cost.
AISpendGuard uses a lightweight SDK that fires usage events after each API call. Each event carries only tags (feature name, model, token count, cost) — never prompts or completions. This gives you per-call attribution in real time, with the ability to group costs by feature, route, user, or trace.
The billing API approach is simpler to set up (just API keys, no SDK). The SDK approach gives you fundamentally more granular data — and the privacy guarantee that your prompts never leave your environment.
When to Choose CostLayer
- Price is your only concern — at $7.42/mo (annual), CostLayer is the cheapest option in the market
- You only need billing-level aggregation — per-model and per-project cost totals from your provider dashboard, updated hourly
- You don’t need per-call attribution — if knowing “GPT-4o cost $X this month” is enough
- You don’t use frameworks — if you make direct API calls and don’t need LangChain/LiteLLM/CrewAI integration
When to Choose AISpendGuard
- You need per-call, real-time attribution — know exactly which feature, route, or user is driving costs
- Privacy is non-negotiable — our SDK sends only tags. Prompts never leave your environment
- You use AI frameworks — auto-track costs across LangChain, LiteLLM, CrewAI, and OpenClaw with no code changes
- You run agent pipelines — trace-level cost grouping shows you the true cost per agent run
- You want actionable waste detection — specific rules with $/mo savings tied to your actual usage
- You want EU compliance — EUR pricing, EU-hosted stack, GDPR-compliant by design
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