Description
Oqoqo is a platform designed to facilitate the execution of evaluation experiments at scale within realistic environments. It operates on a fully managed cloud infrastructure, allowing users to define custom task sets and build private benchmarks. This enables teams to measure how effectively agents can utilize various products and identify the best agent-model combinations for specific use cases.
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The platform supports a wide range of models, including Claude Code, Codex, Cursor, GitHub Copilot, and others, allowing users to connect their existing model providers and subscriptions. Each task runs in its own sandboxed environment, which can be customized with optional repositories, files, and dependencies.
Oqoqo provides insights on product interface friction, token inefficiencies, and performance differences, helping users to identify and address issues. The platform supports large experiments that run quickly and reliably in the cloud, with durable workflows and orchestration managed by Oqoqo.
Pricing is structured around a freemium model, with a free plan offering 100 runs per month. Paid plans, such as Pro and Ultra, provide additional runs at a lower cost per run. Users can also purchase top-up runs that never expire. The platform allows unlimited members and projects, ensuring flexibility and scalability for organizations.
Oqoqo is ideal for teams looking to build agent-first products, as it provides detailed insights into agent performance and areas for improvement. However, it is important to note that the platform's results are limited to the tasks and agents used in the experiments, and results should be refreshed as agents and models evolve.
- CategoryAI DevOps & Cloud Tools
- Pricing ModelFreemium
- DeploymentCloud
- PlatformsWeb
Oqoqo's Core Features
Managed cloud infrastructure
Custom task sets
Private benchmarks
Agent-model performance measurement
Sandboxed environments
Insights on interface friction
Supports multiple models
Freemium pricing model
How to use Oqoqo?
Configure: Set up your custom task sets and benchmarks
Use: Run evaluation experiments at scale
Optimize: Analyze insights and improve agent performance
Iterate: Fix issues and re-run experiments
Oqoqo's Use Cases
- Agent Performance Evaluation
- Custom Benchmark Creation
- Model Comparison
- Product Interface Analysis
- Experiment Iteration
