What's new in NeoLoad Web

Here you'll find the latest features, enhancements, and bug fixes to improve your experience with NeoLoad Web.

June 2026

Dashboard enhancements

NeoLoad Web now makes it easier to create, expand, and find your dashboards. Here's what we improved:

Select up to 4 test results in the Results section to quickly create a comparison dashboard.
When you drag test result data onto a tile, NeoLoad Web now recognizes the data type and only lets you drop it onto tiles with a matching type.
Add Elements count metric to the tiles to see how many times elements trigger during a test run with its successes and failures.
Open the new Dashboards tab in the test result page to see every dashboard that includes it.

May 2026

Guaranteed Virtual Users for workspaces

Administrators can now guarantee Virtual Users (VU) to a workspace. Tests in the workspace always have their dedicated VUs available, and any remaining license capacity stays in the shared pool.

More MCP actions for result analysis and management

The NeoLoad Web MCP server now includes more actions for working with test results. AI agents can fetch Service Level Agreement (SLA) outcomes, full summary statistics, and valid filter values, then write analysis findings back onto the result.

The new actions include:

get-result-contexts returns the populations, user paths, and zones available on a result, so agents can run targeted filtered queries.
get-result-slas returns SLA pass, warn, and fail outcomes for a result, with filters for SLA type, element type, and status.
get-result-statistics returns the full summary statistics for a result in a single call, including live values while a test is running.
update-result writes analysis findings back onto a result by updating its name, description, lock status, or quality status.

APT - Analysis

NeoLoad Web now includes APT - Analysis, the first workflow of our Agent Performance Testing (APT) agent. Open APT from the AI Chat button on any page and select Create performance analysis to generate an AI report for a test result, with a progress tracker that shows the agent's status while it works. APT is consumption-based: each run uses credits in proportion to the amount of information the agent processes. See Manage APT - Analysis access to control which users can run APT - Analysis through the AI Chat column in Settings > Users.

April 2026

Workspace resource management

Administrators can now control how workspaces consume license resources. For example:

Set limits on Virtual Users (VU) and Virtual User Hours (VUH) per workspace to prevent over-consumption and distribute resources fairly across teams.

Key capabilities include:

Set maximum Web VUs for each workspace.
Define VUH consumption limits with real-time tracking of remaining capacity.

Usage history of VUH

NeoLoad Web now tracks VUH consumption in the Usage history page. You can export a CSV report that includes allocated and consumed VUH per workspace.

Offline license leases

NeoLoad Web now supports offline leases for transferring license capacity to NeoLoad or other NeoLoad Web instances. This is useful if NeoLoad can't connect to NeoLoad Web for licensing, or when you need to distribute licenses across multiple NeoLoad Web deployments.

MCP meta tool

The NeoLoad Web MCP server now offers a meta tool endpoint. The standard endpoint loads all 45 tool definitions into your AI assistant's context window. The meta tool exposes only two: mcp_discover and mcp_execute. Your AI assistant discovers actions on demand and runs them through a single interface, so more of the context window stays available for your prompts and responses.

MCP timeseries tool

The NeoLoad Web MCP server now includes a get-result-timeseries tool that returns sampled metrics (user load, errors, response time, throughput) for a test result. AI agents can pull the full history of a completed run or poll a running test for fresh data points.

February 2026

Dedicated IP addresses from Azure

NeoLoad Web now offers dedicated IP addresses from Azure in addition to AWS and GCP. You can reserve them and extend the reservation right in NeoLoad Web.

To use Azure IP addresses in tests, the admins first need to enable the new cloud zones in Settings → Zones.

January 2026

Dynamic infrastructure agent

NeoLoad Web now offers agent-based dynamic infrastructure for Kubernetes. An agent deployed in your environment establishes an outbound-only connection to NeoLoad Web and receives instructions, eliminating the need for inbound network access, firewall changes, or lengthy security approvals. This secure, reverse communication model enables on-demand provisioning of controllers and load generators and gives you access to NeoLoad Web AI features and continuous innovation.

Previous releases

2025

Enhanced augmented analysis

We've added key improvements to our augmented analysis, which gives you even more flexibility as you analyze results:

VU pattern analysis: A new machine learning-based option that focuses exclusively on virtual user load patterns to detect load phases.
Separate chart views: Intervals now display charts for the selected type of analysis.
Enhanced intervals table: Added type column and color indicator for quick identification of interval sources.
Single analysis mode: Each ML-based analysis can now run only once per test result to prevent conflicts.

Enhanced MCP integration

The NeoLoad Web MCP integration now includes new actions for result monitors and comprehensive dashboard management, giving AI agents and users deeper access to performance data.

Our improved MCP integration include the following new features:

Result monitor actions to discover available monitor elements, fetch aggregated values, and retrieve time series data for deep analysis and troubleshooting.
Dashboard management actions to create dashboards, configure tiles, and add data series for visualization.
Result monitor prompting patterns for discovering metrics, retrieving values, and analyzing time series trends.
Dashboard prompting patterns for creating and managing dashboards through natural language.

Dashboards

NeoLoad Web now supports Dashboards—a powerful tool that turns raw performance data into actionable insights. Dashboards make it easy to detect performance regressions, validate improvements, and monitor trends. Create visualizations that focus on the metrics that matter most, and share those insights with your team via link or PDF.

There are two types of dashboards suitable for any analysis approach:

Comparison dashboards: Put up to 4 test results side-by-side for time-based, environment, or test run comparisons.
Custom dashboards: Start with an empty state and tailor layout, content, and tiles to your needs.

Tiles are the crucial element that helps you visualize and organize your data:

Series: Line graphs to track trends over time.
Table: Structured data for clear metrics.
Text: Rich notes for context.
Widget: Predefined visualizations for key metrics.

Values tab

NeoLoad Web now supports aggregation of test results based on shared containers. Now, you can have an in-depth overview of metrics on the same business transaction, such as login, across all user paths.

Enhanced MCP integration

The NeoLoad Web MCP integration now includes more actions and step-by-step guides to help you get more from your AI-powered performance testing.

Our improved MCP integration include the following new features:

More MCP actions for zone management, result analysis, infrastructure monitoring, and webhook configuration.
Zone management guides for creating, configuring, and maintaining your testing infrastructure.
Dashboard management guides for creating dashboards, configuring tiles, and visualizing performance data.
Result analysis patterns for detailed performance metrics, interval analysis, and event investigation.
Infrastructure and webhook management guides for provider validation and configuration review.
Multi-step workflow examples and best practices for complex testing scenarios.

Model Context Protocol (MCP) integration

NeoLoad Web now supports Model Context Protocol (MCP) integration, enabling natural language interactions with your performance testing platform through AI assistants like Claude and other compatible tools.

This powerful integration allows you to:

Manage tests and analyze results through conversational prompts.
Generate comprehensive reports using natural language commands.
Streamline your testing workflow with AI-powered assistance.
Access performance data without navigating complex interfaces.

Get started with connecting to NeoLoad Web MCP and learn MCP prompting best practices for optimal results.

JMeter test support

NeoLoad Web now supports running JMeter tests directly from the interface. This integration allows you to leverage NeoLoad's real-time reporting and analysis capabilities with your existing JMeter test scripts.

Key features include:

No license requirements for JMeter tests.
Support for JMeter version 5.6.3.
Compatible with Static and Dynamic zones.
Optimized resource consumption with controller-only architecture.

For more information, check out Create and run JMeter tests.

High-capacity load generators

Introduced support for high-capacity load generators to handle CPU-intensive testing scenarios. This feature is particularly useful for tests designed with RealBrowser technology that require additional processing power.

You can enable high-capacity load generators when:

Augmented analysis

NeoLoad Web introduces Augmented analysis—a machine learning AI-powered feature that helps you focus on the most important insights in your test results.

This release highlights RED metrics (rate, error, and duration) to identify areas that need your attention. Augmented analysis also splits your test run into intervals based on consistent system behavior, making it easier to identify trends and performance bottlenecks.

Version 4 API

The V4 API brings expanded coverage across the new NeoLoad Web platform and functionality that wasn't available in the V3 API. Use the V4 API to automate processes, integrate closely with your toolchain, and manage performance tests more efficiently.

Dark mode support

This low-light interface reduces eye strain and improves focus, especially during long work sessions. Whether you're designing test scenarios or reviewing results, dark mode provides a more comfortable, modern experience.