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LexQ is the Decision Operations Platform for engineering teams. You define business rules (conditions and actions) in a visual console, prove every change with simulation, and deploy to production — all without touching application code.
LexQ offers four plans: Free (1,000 executions/month), Growth (USD 99/month, 100,000 executions), Pro (USD 299/month, 1,000,000 executions), and Enterprise (custom volume and compliance). All plans include versioning, simulation, and deployment with unlimited rules. Overages on Growth and Pro are billed per execution. Pricing is locked for 10 years — limits expand over time, prices stay the same.
A Dry Run tests one input at a time — like a unit test. An Impact Simulation runs a version against hundreds or thousands of historical inputs and compares results with a baseline — like an integration test suite. Use Dry Runs during development; use Impact Simulation before deployment.
No. Once a version is published (DRAFT to ACTIVE), it is permanently locked. To make changes, clone the published version to create a new DRAFT, modify the rules, then publish and deploy the new version.
All traffic to that group is immediately rejected. No rules are evaluated. This is an emergency kill switch — use it when you need to halt execution without modifying rules.
The Console and documentation support English and Korean. The API and CLI work with any language for fact values and rule names — they are treated as opaque strings.
Call the Policy Execution API with your input facts. The engine evaluates your rules and returns output variables (discounts, blocks, tags, etc.) in real time. See the Policy Execution page for details on the 4 execution modes.
SET_FACT is an action type that assigns a fixed literal value to a key in the output variables. It is not an expression evaluator — it does not support arithmetic or references to other facts. Use it to set flags, labels, or static values.
The Model Context Protocol (MCP) is an open standard for connecting AI agents to external tools. LexQ CLI includes a built-in MCP server that exposes the full Partner API. This lets AI agents like Claude, Gemini, and Copilot manage your policies directly through natural language. See the MCP Server Guide for setup instructions.