The quality-assurance & optimization layer for AI agents
Your agents are paying full price for output they could get for a fraction. AgentModus builds a custom benchmark for your tasks, runs every task on the cheapest model that provably passes it, and proves quality held — so you ship more from the same budget. Any model, any provider.
Same quality, lower cost
Cost per successful task
the spend to get one result that passes your benchmark — down
Output per dollar
how much trusted output each dollar buys — up
Quality, proven
every routed task still passes your benchmark, continuously
From your first captured call to proof in production — every part of right-sizing your models, handled end to end. Scroll through each layer.
Point your base_url at AgentModus and we record every request — model, tokens, latency, cost — grouped by the task it's doing. One line of code. Your provider key passes straight through and is never stored.
capturing every call
We cluster your traffic into the real jobs it's doing, then turn your evals and the outputs your team accepts into a custom benchmark for each task. It's your benchmark, on your work — never a public leaderboard.
clustering tasks · building benchmarks
Every model, every provider, scored continuously on your real traffic. Each task runs on the cheapest one that provably passes its benchmark — so you cut cost per task while quality holds, moved only on measured evidence.
routing to the cheapest that passes
Every decision is logged with the model, the measured quality, and the cost. Drift triggers automatic fallback, and you can inspect, replay, and approve — nothing reaches your users without evidence.
proven above your benchmark
Each capability stands on its own — measure your AI's quality, catch regressions before users do, or do more with the budget you already have. Most teams come for one and keep all three.
Stop trusting generic benchmarks — build one for your own tasks.
AgentModus turns your real traffic and the outputs your team accepts into a private benchmark for each task — so you measure models on your work, not a public leaderboard.
Providers update models silently. We catch it first.
We watch your live traffic and flag drift before your users ever see it.
Run each task on the cheapest model that passes your benchmark.
Once quality is proven, cheaper models handle the tasks they pass — so you cut cost per task and ship more from the same budget.
One product · one positioning · adopt it for any one of these
Point your client at AgentModus and keep your code. It maps your tasks, builds your benchmark in shadow mode, and shifts work to cheaper models only once the evidence is in — so you ship more without growing the bill.
Point your base_url at AgentModus — one line. Your keys, your code, your providers stay exactly as they are.
No rewrite. No new SDK.
It clusters your traffic into tasks, builds a benchmark for each one, and scores every model on it off the critical path — with zero impact on production.
Watch the spare capacity appear before anything changes.
When a cheaper model provably passes your benchmark, promote it in one click. Quality holds, your cost per successful task drops, and new models keep getting picked up.
Proof first. Output that compounds.
One layer
Stop stitching an eval harness, a model router, a tracing tool, and a cost dashboard into something that half-works. AgentModus does it end to end.
What you wire today
One layer · AgentModus
One endpoint in front of every provider — hosted or self-hosted. Keep your code, your keys, and your contracts; we route each task to the model that passes your benchmark.
Connect in one line, see what each task really costs, and let AgentModus prove a cheaper model passes your benchmark before it ever serves a user.
Set up in one call · Live in one line · Your keys never stored