Per-customer AI cost attribution. Automatic plan enforcement. Invoice-ready reporting. One line of code.
Customer A runs 50,000 document summarizations in a weekend. Your aggregate bill spikes by thousands. You can see the total — not who drove it.
A mid-tier customer intentionally consumes 10× their implicit fair-use allocation. Without hard boundaries, you swallow the margin or fight retroactively.
Finance: "What was our AI margin for Customer X last quarter?" Engineering loses a week parsing chaotic logs to answer.
Swap your API base endpoint and inject a tenant header. Your existing application logic, routing rules, and vendor configurations remain untouched.
Track gross margins per customer, per feature, per model. Spot high-cost power users and margin-negative accounts before your monthly close.
Hard caps, soft alerts, automated model downgrades, instantaneous overage triggers. Your subscription rules enforced 24/7 at machine speed.
Built explicitly for software platforms that resell AI context— not for teams that just use internal chat tools.
client = OpenAI( api_key="sk-prod-..." )
client = OpenAI(
base_url="https://api.gatekeeper.ai/v1",
api_key="gk-live-...",
default_headers={
"X-Proxy-Tenant-ID": "customer_acme_123"
},
)
# multi-tenant attribution, margin protection,
# and billing sync are now fully automatic."We discovered our highest-volume enterprise customer was costing us $340/month in raw LLM tokens while sitting on a $99/month flat tier. AI Gatekeeper surfaced the leak and we moved them to an enterprise contract in less than a week."
| Capability | Generic AI gateways | APM & observability | Custom internal build | AI Gatekeeper |
|---|---|---|---|---|
| Multi-provider routing | ●yes | ○no | ●yes | ●yes |
| Aggregate cost tracking | ●yes | ●yes | ◐partial | ●yes |
| Per-tenant billing ledger | ◐partial | ◐partial | ○no | ●dedicated |
| Automated overage actions | ◐budget caps | ◐alerts only | ○no | ●hard + soft rules |
| Native Stripe/Chargebee sync | ○no | ○no | ○no | ●native webhooks |
| Granular margin controls | ○no | ○no | ○no | ●live markup pricing |
| Time to production | ◐hours | ◐days | ◐months | ●minutes |
Standard developer tools track infrastructure health — aggregating total tokens and tracking latency. AI Gatekeeper looks at your backend from a revenue perspective: it maps every token to a specific tenant ID, measures real-time margin compliance, and syncs usage directly to your recurring billing engines.
14-day token audit. Identify negative-margin accounts with dedicated technical onboarding support.
Architecture call with the founding team — custom integrations, enterprise margin rules, contract usage modeling.