Oqoqo

Oqoqo

Oqoqo by Oqoqo AI is a cloud platform for running large-scale AI agent evaluations. It lets you build private benchmarks, test product usability, and compare model performance, delivering insights lik

AI agent evaluationbenchmark testingmodel comparisoncloud platformLLM testing
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What is Oqoqo?

Oqoqo is a fully managed cloud platform for building and running large-scale AI agent evaluations. It lets you define custom task sets, configure agents and models, and launch experiments in isolated sandboxed environments. Teams use it to build private benchmarks, test whether agents can complete real-world tasks with their products, and compare model performance across treatments. The platform captures full step-by-step trajectories so you can see exactly where agents succeed, fail, or waste tokens.

Application scenarios

  • Private benchmark creation

    Turn your own real work into task sets and rubrics that your team owns.

  • Product usability testing

    Measure how well agents can use your product through real tasks, not synthetic prompts.

  • Model comparison

    Run the same tasks across different agents, models, and effort levels to find the best fit.

  • Agent workflow debugging

    Identify frictions in product interfaces and token inefficiencies in each run.

  • CI integration

    Trigger experiments automatically when a change might break agent workflows.

  • Iterative fixing

    Read the full trajectory, fix what failed, and relaunch to verify improvements.

Core Features

  • Experiment configuration

    Define tasks, agents, treatments, rubrics, and headless interfaces in one place.

  • Managed cloud infrastructure

    Large experiments run quickly and reliably on durable workflows and orchestration that Oqoqo manages.

  • Bring your own keys

    You supply model keys and subscriptions; Oqoqo handles the rest.

  • Isolated sandboxes

    Each run includes project state, context, and the tools the agent needs, in its own environment.

  • Full trajectory capture

    See tool calls, commands, and exactly where the agent stopped.

  • Dynamic insights

    Generate metrics like pass rates, token usage, and frictions across runs.

  • Task library

    Select from predefined tasks or create custom ones with versions and machine types.

  • Rubric support

    Add advanced scoring rubrics to evaluate agent performance consistently.

  • CI-triggered runs

    Launch experiments automatically when changes might affect agent behavior.

Target users

Oqoqo is built for engineering teams, AI product managers, and platform teams that ship agent-first products. It suits developers who need to verify agents work against their APIs, SDKs, CLIs, or MCP servers. QA and evaluation teams can use it to build private benchmarks and track regressions. It also serves teams evaluating which model or agent configuration performs best for their specific use cases.

How to use Oqoqo?

The platform offers an interactive walkthrough that guides you through building and launching an agent experiment. You start by describing a task, then select or create tasks, configure agents, treatments, and rubrics. After launching runs on sandboxed machines, you review pass and fail results with complete step-by-step trajectories. You can also trigger experiments from CI and re-run after fixing failures. For full setup details, visit the official site at https://oqoqo.ai/ or book a demo.

Effect review

Oqoqo addresses a real gap: most teams evaluate agents with ad-hoc scripts and manual checks, which don't scale or give reliable comparisons. The platform's strength is its structured approach—tasks, rubrics, treatments, and sandboxed runs are first-class concepts, not afterthoughts. The trajectory capture is particularly valuable for debugging, since you can see every tool call and command an agent made. The CI integration makes it practical to catch regressions before they reach production. While the site doesn't include user testimonials or performance benchmarks, the feature set directly targets the core pain points of agent evaluation: reproducibility, observability, and scale. For teams serious about shipping agent-first products, Oqoqo looks like a solid foundation for building confidence in agent behavior.

Frequently Asked Questions

What is Oqoqo?
Oqoqo is a cloud platform by Oqoqo AI for running large-scale AI agent evaluations, allowing you to build private benchmarks, test product usability, and compare model performance.
How does Oqoqo help with AI agent evaluations?
Oqoqo enables you to run large-scale evaluations of AI agents, providing insights into their performance, usability, and reliability through customizable benchmarks.
Can I create private benchmarks with Oqoqo?
Yes, Oqoqo allows you to build private benchmarks tailored to your specific use cases, ensuring your evaluation data remains confidential.
Does Oqoqo compare different AI models?
Yes, Oqoqo lets you compare model performance side-by-side, helping you choose the best AI model for your needs.
What kind of insights does Oqoqo provide?
Oqoqo delivers actionable insights into product usability, model efficiency, and overall agent behavior, enabling data-driven improvements.
Is Oqoqo suitable for enterprise-scale testing?
Absolutely, Oqoqo is designed for large-scale evaluations, making it ideal for enterprises that need robust and scalable testing solutions.

Oqoqo - AI Tool Detail

Oqoqo by Oqoqo AI is a cloud platform for running large-scale AI agent evaluations. It lets you build private benchmarks, test product usability, and compare model performance, delivering insights lik

Category：Large Model Platform

Visit Link：https://oqoqo.ai/

Tags：AI agent evaluation、benchmark testing、model comparison、cloud platform、LLM testing