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Capability

Run AI with full visibility

See every request, every model, and every decision; across your entire AI stack.

Outgate gives you real-time insight into traffic, latency, errors, and guardrail activity so you can debug faster, optimize cost, and operate with confidence.

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Everything that happens, measured

Track traffic, performance, and system health in one place.

  • Request volume and trends
  • Response time and upstream latency
  • Error rates (4XX / 5XX) across gateway and providers
  • Guardrail evaluations and latency
  • Active providers and models
  • Token accounting per model and per share
  • Cache hit rate and savings

No stitching together logs, dashboards, and metrics. Everything is available out of the box.

Usage monitoring

A year of AI traffic at a glance

Track how your AI usage evolves day by day. Spot bursts, regressions, and quiet weeks across teams, providers, and projects.

Last 12 months
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Break it down by

Provider

Compare OpenAI, Anthropic, local models, and custom backends side by side.

Model

See which models drive the most traffic, tokens, and latency.

Share

Attribute usage to teams, apps, customers, or environments via gateway shares.

API key

Trace activity to specific keys, including per-key request counts and last-used timestamps.

Region

Inspect usage per region for residency, latency, and capacity planning.

Time window

Zoom into hours, days, weeks, or the full year. Compare windows directly.

Use it to

Debug production issues

Trace a request end to end. Inspect bodies, headers, latency, and guardrail decisions in seconds.

Optimize cost

See where tokens go, which models are worth their price, and where caching pays off.

Catch regressions early

Latency drift, error spikes, and guardrail anomalies surface before users notice.

Prove compliance

Auditable logs for every detection, redaction, and policy match.

Observe every request. Understand every decision.

Run your AI stack with full visibility, from traffic to guardrails to providers.

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Frequently asked questions

Yes. Metrics are updated continuously so you can monitor traffic, latency, and errors as they happen across your gateway and providers.
Yes. Start from high-level metrics and drill down by provider, model, endpoint, and time window to understand exactly where issues occur.
Observability spans the full request path. Client traffic, gateway processing, guardrail evaluations, and upstream providers, so you can see where time and errors originate.
Outgate is purpose-built for AI traffic. It understands providers, models, guardrails, and request flows out of the box, no custom instrumentation required.
No meaningful overhead. Metrics are collected inline with minimal impact, and guardrail latency is tracked separately so you can monitor its effect.
Yes. You can break down requests, latency, and errors by provider and model to compare performance and make routing or cost decisions.
Yes. Metrics and logs can be exported or integrated into your existing observability stack if needed.
Observability works alongside guardrails. Sensitive values can be anonymized before logging so you get visibility without exposing secrets.
You can explore metrics across multiple time ranges (hourly, daily, weekly) to understand both real-time behavior and longer-term trends.