Start free.
Enforce when it matters.
Every tier adds more FinOps governance. Start with attribution and alerts. Scale to hard budget enforcement when your AI spend demands it.
Spending more than $5K/month on AI? You need governance — not just dashboards.
The cost of waiting
Before you scroll past the prices below — here's what shows up when teams wait to fix this.
Unexpected bill spikes
A bug or a model swap doubles your cost overnight. Finance asks why. You don't have an answer.
No clue who's spending
Your provider shows total cost — not which feature, team, or customer drove it. Conversations start with guesswork.
Concentrated cost risk
Most AI spend lives in one workflow. Without attribution, you can't price it, budget for it, or justify it.
No way to stop overruns
Alerts notify you the budget was breached. They don't prevent it. By the time you act, the spend already happened.
↓ Pick the tier that fits your spend ↓
Visibility
See your AI usage and costs in one place
For individuals and early exploration
- Usage tracking across providers
- Basic cost dashboards
- Limited attribution (model-level)
- 7-day data retention
- Community support
Awareness
Understand what’s driving your AI costs
Designed for early-stage AI usage. Scales as your usage grows.
- Model-level cost breakdown
- Feature-level attribution
- Alerts for unusual spikes
- Historical trends (30 days)
- Hard budget enforcement at gateway
- Auto-downgrade at budget pressure
- MCP integration
- Email support
+ usage-based pricing aligned with your AI spend
Governance
Define rules, monitor behavior, and influence AI spend across teams
For growing teams running AI in production
- Budget tracking per feature/team
- Cost allocation rules
- Configure policies (evaluation only)
- Customer-level attribution
- Advanced alerts (Slack, email)
- Team-level visibility
- Chargeback reports & CSV export
- 90-day data retention
- Priority support
+ usage-based pricing aligned with your AI spend
Control
Actively enforce and control AI spend in real time
For companies where AI spend impacts revenue and margins
- Inline decision enforcement (allow / block / modify)
- Hard budget enforcement (real-time block / throttle)
- Automatic model rerouting at budget pressure
- Execute cost decisions in real time
- Runs inline with every AI request — not after the fact
- Self-hosted deployment option
- Unlimited data retention
- Custom integrations
- Dedicated support & custom SLA
+ usage-based pricing aligned with your AI spend
Compare every capability.
Each tier adds stronger governance. Control is where CapHound blocks, routes, and enforces in real time.
Start simple.
Scale to full control.
CapHound grows with your AI spend. Start with visibility \u2014 upgrade to enforcement when the stakes get serious.
Visibility
See your AI spend across providers
Awareness
Understand what's driving the bill
Governance
Set budgets, policies, chargebacks
Control
Enforce limits in real time
Pays for itself in week one.
Real-time governance catches the spikes before they hit the invoice. Most customers see CapHound's license cost recovered within their first month of attribution data.
Eliminate invisible waste
Dev environments running production-tier models. Idle features still calling expensive APIs. CapHound surfaces the easy wins immediately.
Smart routing saves
Auto-downgrade to cheaper models when budget tightens. Free users get the efficient tier. Production keeps the best model. No app changes required.
End the surprises
Hard budget enforcement means runaway loops cost you cents — not five-figure invoice lines. Your CFO stops calling about AI spend.
FAQ
Things people ask.
What's the difference between Governance and Control?
Governance gives you budget tracking, policies, and customer-level attribution — the tools to manage AI spend proactively. Control adds real-time enforcement: hard budget limits that block or throttle requests, fallback model policies, and automated cost guardrails. If you need to prevent cost overruns (not just observe them), you need Control.
Do you store my prompts or responses?
No. CapHound never stores prompt content, completion text, or raw request bodies. This is an architectural guarantee enforced by CI tests on every commit — not a policy setting that someone could disable.
Can I try CapHound before committing to a paid plan?
Yes. The Visibility tier is permanent, not a trial. It gives you usage tracking and basic attribution across all providers. No credit card required.
How long does integration take?
Most teams are up and running in under an hour. Install the SDK, set your CapHound API key, and add a feature tag to your existing LLM calls. No infrastructure changes required.
What if I need a custom plan?
Control plans are fully customizable — custom SLAs, volume pricing, dedicated support, and self-hosted deployment. Contact us at amar@caphound.ai.
Does CapHound add latency to my LLM calls?
Negligibly. CapHound's gateway adds 5–15ms p99 in centralized mode. The decision engine runs inline but is built for sub-10ms evaluation. Self-hosted deployment in your VPC keeps latency at near-zero.
Hound your AI bill.
Before it hounds you.
No credit card. No commitment. Up and running in under an hour.
Start free