APIs without the operational overhead.
Skip the auth middleware, docs boilerplate, and monitoring setup. Drop in the SDK, run one Docker command — your keys, docs, and analytics are live in minutes.
Build APIs, not infrastructure.
Your team should be focused on the product — not re-implementing auth, docs, and monitoring for every service you ship.
One decorator adds key verification, scope enforcement, and rate limiting — verified offline in 0.1ms, no network round-trip.
Every route is discovered and published to a live OpenAPI reference the first time it's called — no YAML, no drift.
Request counts, p99 latency, and error rates tracked per key automatically — no extra observability stack to wire up.
Everything stays in sync.
Drop the SDK in front of your API — docs, analytics, and alerts all keep themselves in sync with your code.
Your docs write themselves.
Every route you ship is discovered automatically and published to a live OpenAPI reference — no YAML to maintain, no docs that drift from the code.
Watch every request, live.
Latency, error rates, and traffic per key stream in automatically. Always know what's happening in production — no extra observability stack, no manual instrumentation.
Two ways to ship.
Run on your own server with full control, or skip the ops entirely and use the managed cloud.
Self-hosted
One Docker command. Your server, your data, full control — no vendor in the critical path.
Managed cloud
No infrastructure to configure. Apikee runs the platform — you ship the API.
Intelligence baked into the platform.
AI features that run on your own infrastructure — logs, telemetry, and schema data never leave your deployment.
Natural language queries
Ask 'Show me all 401s from the last hour' over your usage data — no SQL, no BI tool required.
Anomaly detection
Traffic spikes and error regressions flagged automatically, before they become incidents.
Usage forecasting
Predict quota consumption and infrastructure needs from historical patterns — before they hit production.