Blog
Describe the Data, Keep the Engine: Why Eventum Now Speaks MCP
AI agents can now author Eventum generators from a plain-language description — while validation, previews, and execution stay on the deterministic engine. Why that split matters.
Read post →Eventum 2.6.0: MCP Server for AI Agents
Connect Claude Code, Cursor, or Codex to Eventum and describe the data you need — the agent builds, validates, and runs the generator. Plus sample filtering and seven new randomization helpers.
Read post →Eventum 2.5.0: Template Dispatch API
Eventum 2.5.0 adds a dispatch API that lets templates drop, re-pick, or end event generation at render time, plus a random IPv4 helper for CIDR subnets.
Read post →Eventum 2.4.0: Scenarios, Pipeline Metrics, and a New Home Page
Eventum 2.4.0 introduces Scenarios for composing multi-instance workflows, a redesigned instance metrics modal, a new Home page, and editable state management.
Read post →Introducing Eventum Hub: Ready-to-Use Data Generators in One Place
Browse, search, and launch synthetic data generators for cloud, network, endpoint, security, and more — all from a single catalog.
Read post →Eventum 2.3.0: Kafka, TCP, and UDP Output Plugins
Eventum 2.3.0 adds three new output plugins for network-based event delivery, migrates to free-threaded Python 3.14t, and reworks the core pipeline for multithreaded performance.
Read post →Welcome to the Eventum Blog
Introducing the official Eventum blog — your source for news, tutorials, and deep dives into synthetic event generation.
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