Your agent is only as good as your evals
Most teams ship agents without knowing if they work or what they cost to run. Mercor builds evals to measure both.
Cost x Performance
The right model for the job, at the lowest cost.
Every agent has a different job. We measure models, tools, and configurations against your agent's workload – so you know what to run at the lowest cost.
Model selection
The model that clears your bar for the least cost.
Inference spend
Right-size reasoning and context. Stop overpaying.
Agent design
See which tools and context move the score.
Post-training ROI
Know if fine-tuning your own model pays off.
The era of evals
Evals are the new PRD
Evals are the product spec for agents — the only rigorous way to answer three questions.
Why Mercor
The network, expertise, and operations behind every eval
The same methodology every frontier lab relies on, now applied to your agents.
Expert network
The largest and most diverse expert talent network in the world.
Trusted evals partner
We build evals for the frontier labs. The processes, rubrics, and tooling are the same ones we use for your evals.
Operations team
Our operators operate in high-intensity environments serving the most demanding customers in the world.
Working together
Three ways to work with us
From fully managed to fully self-serve.
Expert staffing
We source and embed vetted experts; your team directs the work.
Task-based pricing
We run it end to end and deliver validated evals — priced per task, not per head.
Eval platform
Build and run evals yourself — our platform and methodology, your team.
FAQs
An eval is a rigorous, repeatable test of what your agent can actually do on your workload. It's a structured suite — tasks, rubrics, and scoring — that tells you whether your agent works, which model and configuration to run, and what each option costs.
Both customer-facing and internal agents. You get the same eval expertise the biggest frontier labs rely on, applied to your product — with proven coverage across finance, support, commerce, code, and operations for enterprise and application-layer teams.
Yes. You see the full price–performance frontier, so you can choose the model that clears your quality bar for the least cost, right-size reasoning and context to stop overpaying, and pinpoint which tools and context genuinely improve results.
Yes. Post-training ROI is a core use case — you'll know whether fine-tuning your own model actually pays off before you invest in it.
You're working with the same team and methodology behind the evals run with major AI labs — backed by the largest vetted expert network in the AI economy. That’s 5M+ experts, 200k+ trained eval authors, 300+ professional domains and the rubrics and tooling refined at the frontier.
Three ways, from fully managed to fully self-serve: expert staffing (you direct the work while vetted experts are sourced and embedded for your team), managed delivery (you get validated evals delivered end to end, priced per task rather than per head), and self-serve (your team builds and runs evals on Mercor's platform and methodology).
Less than six weeks from first conversation to a reusable eval suite built for your team.
Yes — you keep a reusable suite built for your team, not a one-off report.
Your next release deserves a real bar
From first conversation to a reusable eval suite you own, in four to six weeks.