Oqoqo
Evaluation and private benchmark building platform for real-world agent tasks
About Oqoqo
Oqoqo is an agent evaluation platform that runs on fully managed cloud infrastructure and enables large-scale evaluation experiments in real-world environments. Users can write and version task sets and rubrics in natural language, build private benchmarks, and repeatedly compare the performance of different agents, models, and approaches. The platform aggregates results such as pass rates, improvement, token consumption, and interface friction, helping surface product interaction issues and token efficiency gaps, and find the agent and model combinations that fit specific use cases. It is accessible via a web app, CLI, and MCP, with model inference using your own API keys or subscriptions.
Best for
Best use cases
Agent evaluation in real-world environments
Building private benchmarks
Comparing agent and model combinations
Analyzing interface friction and token efficiency
Features
Custom tasks and rubrics
Write tasks and rubrics in natural language, versioned with each experiment.
Cross-agent and model evaluation
Repeat the same tasks across different agents, models, and approaches and compare results.
Evaluation metrics and friction analysis
Reports results such as pass rates, improvement, token consumption, and interface friction.
Multiple access points
Full web app, CLI, and MCP access.
Pros
- Run large-scale evaluations on fully managed cloud infrastructure
- Tasks and rubrics can be versioned to keep later runs comparable
- Repeatedly compare multiple agents, models, and approaches
- Web app, CLI, and MCP access provided
Pricing Plans
Free
- Runs reset monthly for the organization
- Unlimited members, projects, experiments, tasks, approaches, and assets
- Full web app, CLI, and MCP access
* Pricing information is for reference only. Please refer to the latest announcement on Oqoqo's official website.