Compatible with every major AI agent and IDE
Get account on LoadNinja (Real-Browser Load Testing)
Get precise LoadNinja bound subscription account details and strict runtime VU limits
Get scenario on LoadNinja (Real-Browser Load Testing)
Get full details of a specific LoadNinja scenario including target URL and configuration
Get test run on LoadNinja (Real-Browser Load Testing)
Get full details and summaries of a specific LoadNinja completed test run
Get test run stats on LoadNinja (Real-Browser Load Testing)
Get raw performance statistics for a specific LoadNinja test run
List browsers on LoadNinja (Real-Browser Load Testing)
List available explicit native browsers configured on LoadNinja
List locations on LoadNinja (Real-Browser Load Testing)
List available explicit physical data center load injection locations
List scenarios on LoadNinja (Real-Browser Load Testing)
List all load test scenarios on LoadNinja
List test runs on LoadNinja (Real-Browser Load Testing)
List all test executions reporting active completion status on LoadNinja
Run scenario on LoadNinja (Real-Browser Load Testing)
Run a LoadNinja scenario with specified virtual users and duration explicitly in minutes
Stop test run on LoadNinja (Real-Browser Load Testing)
Irreversibly vaporize an active running LoadNinja test immediately
How Vinkius protects your data
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
What is unique about LoadNinja's approach to load testing?
Unlike protocol-based tools, LoadNinja uses actual real browsers at scale. Your agent can trigger scenarios that execute scripts inside native browsers, ensuring your performance metrics accurately reflect the true end-user experience including client-side execution.
How Chatbots Interact with LoadNinja (Real-Browser Load Testing)
Enable conversational interfaces like ChatGPT and Claude to execute programmatic commands against the LoadNinja (Real-Browser Load Testing) infrastructure.
Cursor Copilot for load testing
Connect the LoadNinja (Real-Browser Load Testing) server to enable load testing workflows. The integration provides structured schemas for Claude to mutate developer tools data.
Prompting performance engineering Workflows
Integrate the LoadNinja (Real-Browser Load Testing) server to handle performance engineering requests natively. It provides the schemas required for ChatGPT and Cursor to manage developer tools data.
LoadNinja (Real-Browser Load Testing). Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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