Quality score 65Caxis.run#coding#no-code

AXIS — Agent Experience Index Score

AXIS is open source tooling and a scoring framework to measure how well services work for AI agents. Run real scenarios, get a 0–100 score, and fix what's slowing agents down.

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About this tool

AXIS is open source tooling and a scoring framework designed to measure how well services work for AI agents. It runs real scenarios to generate a composite 0–100 score, helping developers identify and fix bottlenecks that slow agents down.

Core Features

  • Scenario Execution: Run real agent scenarios to evaluate service performance in actual interactions.
  • Four-Dimension Scoring: Scores across Goal Achievement, Environment, Service, and Agent, with detailed breakdowns for each dimension.
  • Project Initialization: Quickly initialize a project with the axis init command, interactively configuring the scenarios directory and agents.
  • Skill Installation: Automatically runs npx skills add netlify/axis --all to install the configure-axis skill into detected agent config directories.
  • API Key Support: Requires an API key for at least one supported agent (e.g., ANTHROPIC_API_KEY for Claude Code).

Workflow

  1. From your project root, run axis init and follow prompts to configure the scenarios directory and agents. 2. Two files are created: axis.json sample scenario and agent configuration file. 3. Run scenarios to obtain a composite AXIS score from 0–100. 4. Use the four-dimension breakdown to locate and fix issues affecting agent experience.

Scoring Dimensions

  • Goal Achievement: Did the agent complete the task? Scored against your rubric checks.
  • Environment: How the agent interacts with the system environment.
  • Service: Quality of service responses to agent requests.
  • Agent: The agent's own execution performance. AXIS is free to use and is suitable for AI agent developers, service providers, and platform engineers.
Use cases
  • {json|js|ts} -minimal config with your chosen scenarios path and agents
  • After the files are written, init also runs npx skills add netlify/axis --all to install the configure-axis skill into your detected agent config directories
  • An API key for at least one supported agent (for example, ANTHROPIC_API_KEY for Claude Code)
  • Breakdowns for each of the four scoring dimensions: Goal Achievement, Environment, Service, and Agent
  • Dimension What It Tells You Goal Achievement Did the agent complete the task? Scored against your rubric checks
  • Execution & Agents -how AXIS runs scenarios, supported and custom agents, and workspace isolation
  • Execution & Agents -how AXIS runs scenarios, supported and custom agents, and workspace isolation.
  • Initialize Your Project From your project root, run: axis init In an interactive terminal, this prompts you for the scenarios directory, which agents to include (comma-separated, e

Features & use cases

{json|js|ts} -minimal config with your chosen scenarios path and agentsAfter the files are written, init also runs npx skills add netlify/axis --all to install the configure-axis skill into your detected agent config directoriesAn API key for at least one supported agent (for example, ANTHROPIC_API_KEY for Claude Code)Breakdowns for each of the four scoring dimensions: Goal Achievement, Environment, Service, and AgentDimension What It Tells You Goal Achievement Did the agent complete the task? Scored against your rubric checksExecution & Agents -how AXIS runs scenarios, supported and custom agents, and workspace isolationExecution & Agents -how AXIS runs scenarios, supported and custom agents, and workspace isolation.Initialize Your Project From your project root, run: axis init In an interactive terminal, this prompts you for the scenarios directory, which agents to include (comma-separated, eInterpret Your Results The AXIS Result is a composite of four dimensions, each measuring a different aspect of the agent's interaction with your systemIt then creates two files: axisjson -a sample scenario that asks the agent to create a file with specific contentNext Steps Scoring Framework -how the four dimensions are calculated, what signals drive each score, and why the scoring works the way it does

At a glance

Monetization
  • Free
Maturity signals
  • Open source
  • Public API
Learning curve
  • Medium

Sources

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