Comprehensive sandbox testing Tools for Every Need

Get access to sandbox testing solutions that address multiple requirements. One-stop resources for streamlined workflows.

sandbox testing

  • Daytona is an AI agent platform that enables developers to build, orchestrate, and deploy autonomous agents for business workflows.
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    What is Daytona?
    Daytona empowers organizations to rapidly create, orchestrate, and manage autonomous AI agents that execute complex workflows end to end. Through its drag-and-drop workflow designer and catalog of pre-trained models, users can build agents for customer service, sales outreach, content generation, and data analysis. Daytona’s API connectors integrate with CRMs, databases, and web services, while its SDK and CLI allow custom function extensions. Agents can be tested in sandbox and deployed on scalable cloud or self-hosted environments. With built-in security, logging, and a real-time dashboard, teams gain visibility and control over agent performance.
    Daytona Core Features
    • Visual workflow builder
    • Pre-built agent templates
    • API connectors
    • SDK and CLI
    • Real-time monitoring dashboard
    • Scalable cloud deployment
    • Secure data handling
    • Custom function integrations
    Daytona Pro & Cons

    The Cons

    No dedicated mobile or desktop application links found
    May require technical knowledge to fully leverage SDK and API capabilities
    Pricing details indicate pay-as-you-go which might be costly for continuous heavy usage
    Reliance on sandbox/container technology might introduce some overhead in specific use cases

    The Pros

    Fast sandbox creation with sub-90ms execution startup
    Secure, isolated runtime environments for safe AI code execution
    Supports stateful long-running tasks and persistent AI agents
    Built-in Git integration with secure credential handling
    Programmatic control via RESTful APIs for code execution and file management
    Open source transparency allowing users to verify code
    Scalable infrastructure with massive parallelization for concurrent AI workflows
    Supports reinforcement learning and dynamic AI agent workflows
    Runs both cloud and self-hosted deployments with enterprise compliance
    Daytona Pricing
    Has free planYES
    Free trial details$200 of compute credits provided for free, no credit card required
    Pricing modelPay-as-you-go
    Is credit card requiredNo
    Has lifetime planNo
    Billing frequencyHourly/Second-based

    Details of Pricing Plan

    Compute vCPU

    0.0504 USD
    • Billed per hour
    • 5 GB free usage
    • Only pay when code is running

    Compute Memory GiB

    0.0162 USD
    • Billed per hour
    • 5 GB free usage
    • Only pay when code is running

    Storage GiB

    0.000108 USD
    • Billed per hour
    • 5 GB free usage
    • Only pay when code is running

    GPU 12GB GDDR6

    USD
    • Scale up to hundreds of nodes
    • Only pay for actual compute
    • Volume discounts available
    Discount:Startups can get up to $50,000 in credits for free
    For the latest prices, please visit: https://www.daytona.io/pricing
  • An AI agent that automates creating third-party integrations by reverse-engineering web platforms' internal APIs for rapid connector development.
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    What is Integuru?
    Integuru is a hosted AI agent that drastically simplifies the process of integrating applications with platforms that lack official APIs. By crawling web interfaces and automatically reverse-engineering endpoints, the agent generates connector code (Node.js or RESTful APIs), configures authentication flows, and validates operations in a sandbox environment. Users provide the target service URL and desired data actions, and within seconds Integuru delivers production-ready integration endpoints. This eliminates manual scraping, reduces development time from days to minutes, and ensures secure, low-latency connections. Integuru supports custom OAuth, cookie, and token-based auth, offers one-click deployment, and integrates with existing development pipelines via CLI and SDKs, empowering teams to automate workflows and sync data across any web-based application seamlessly.
  • AgentLab provides a low-code interface to build AI-powered digital workers automating ServiceNow workflows via LLM integrations.
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    What is AgentLab?
    AgentLab is a ServiceNow framework for creating AI agents—also called digital workers—using a visual, drag-and-drop editor. Users link large language models with ServiceNow tables, define intents and actions, and orchestrate workflows for tasks like incident resolution, change approvals, and knowledge retrieval. Agents can be tested in built-in sandboxes, versioned, and monitored in real time. With connectors for external APIs and chat interfaces, AgentLab enables deployment across portals, Microsoft Teams, and Slack. The platform offers governance controls, audit trails, and analytics dashboards to ensure compliance and performance at scale.
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