on any annual plan
Govern every prompt, model and AI agent
Valid until June 30, 2026. Not combinable with the annual billing discount.
Usage and cost are only half the story. Rank every team and agent on the value they get per dollar — see who uses AI well, which models earn their cost, and where the waste hides. Full prompt visibility, no token masking
Sound Familiar?
Most companies today have zero visibility into their AI operations. When something breaks, nobody knows why.
You have no breakdown of costs by team, model, or use case. The monthly bill arrives and nobody can explain why it spiked 3x last week.
Models hallucinate, agents fail mid-workflow, and chains break — but there's no trace, no alert, and no way to replay what happened.
Some queries take 300ms, others take 12 seconds. You can't see where the bottleneck is — prompt size? Provider? Routing? Token generation?
You don't know which teams use AI most, which models perform best, or which queries get repeated. There's no data to drive optimization decisions.
Regulators and compliance teams need a record of every AI interaction. You have nothing — no logs, no metadata, no proof of governance.
When an AI-powered feature misbehaves in production, your engineers can't inspect the prompt, the model choice, or the response chain.
Real-Time Dashboard
Live metrics, cost breakdowns, and performance trends — updated in real time across every team, model, and use case
OptScale AI captures 100% of requests flowing through the gateway — every query logged with its model, cost, latency, token count, and outcome. Real-time dashboards slice this data by team, agent, model provider, or time window, and rank each team and agent on output value per dollar — so leaders see not just what AI costs, but who's getting real work done with it.
Distributed Tracing
Click on any trace and see the full waterfall — every step in the chain, every model call, every token processed. Identify exactly where latency spikes, where errors originate, and which steps cost the most
🔍 Sub-second trace lookup across millions of logged interactions
🔗 End-to-end chain visibility across multi-model workflows
🔔 Error pattern detection with automated alerting
📊 Latency profiling pinpoints bottlenecks instantly
🏅 Compare quality, latency and cost across models for the same task
capabilities
From per-agent usage to model benchmarking — every dimension of how well your teams and agents use AI, fully instrumented.
See who uses which models, how often, and at what cost — broken down by team and by individual agent, not just one org-wide total.
Per-team
Per-agent
Cost attribution
Rank teams and agents on output value per dollar. Surface the ones getting real work done cheaply — and the ones quietly burning budget — with efficiency scores and leaderboards.
Value per $
Leaderboards
Benchmarks
Compare quality, latency, and cost across models for the same task — so you can prove which model is actually worth its price before you standardize on it.
Quality
Latency
Cost-per-task
Inspect the real prompts and responses behind every interaction — not redacted stubs. Full fidelity for debugging, review, and quality work.
Full prompts
Full responses
No stubs
Keep logs and traces for as long as your policy requires — full audit-ready history of every interaction, retained on the schedule you set. Up to 90 days by default, with custom retention available.
Configurable retention
Audit-ready
Compliance
Explore the Platform
Start free with up to 5 seats. Get full observability into your AI operations from day one.
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