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KeyRunner 2.0 Review

KeyRunner 2.0 is a governed execution layer for enterprise AI agents, enabling secure API connections with policy enforcement, runtime secret injection, and auditability.

shipped Sep 1, 2026agentsfreemium
Domain rating40Monthly visits1/mo
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KeyRunner 2.0 — product screenshot

Why it matters

1KeyRunner 2.0.1 was last updated on July 7, 2026, with version 2.0.0 released on June 25, 2026.
2Offers a free tier for individual developers, with team plans starting at $49 per user per month.
3Integrates with enterprise systems such as Salesforce, ServiceNow, Jira, Workday, and Snowflake.
4Provides a Zero Trust Explorer plan at $29 per month, including RBAC and sensitive data redaction.

About KeyRunner 2.0

Business Model
Freemium SaaS
Platforms
Web
Target Audience
Developers and enterprises looking to secure API interactions for AI agents.

Pricing Plans

Free API Client
Free
  • • Local-first tooling for secure API workflows
  • • Engage with enterprise-grade governance
  • • Immediate policy enforcement
API DocsGitHub

Specs

API Docs

View Documentation →

GitHub

View Repository →

API Available

Yes, public API

overview

What is KeyRunner 2.0?

KeyRunner 2.0 is an AI agent governance tool developed by KeyRunner that enables developers and enterprises to securely manage and execute API interactions for AI agents. It functions as both a local-first API client for individual developers and a governed runtime for enterprise AI agents, emphasizing secure API management and controlled AI agent execution. For individual developers, it operates as an API client within VS Code and as a desktop application, supporting HTTP, REST, GraphQL, gRPC, and WebSocket requests. It allows importing API collections from Postman, Bruno, Insomnia, Thunder Client, or OpenAPI/Apigee, inspecting schemas, generating TypeScript types, and building mock server workflows. For enterprises, KeyRunner 2.0 provides a zero-trust execution model, converting tested API requests into "governed tools" for AI agents like Claude and ChatGPT. This model enforces policies, injects credentials at runtime, redacts sensitive data, and maintains audit trails, crucial for organizations adopting AI agents while maintaining control over permissions and secrets.

features

Key Features of KeyRunner 2.0

KeyRunner 2.0 provides a comprehensive set of features designed for secure API management and governed AI agent execution, addressing both developer needs and enterprise security requirements. The platform's capabilities include a local-first API client for development and testing, alongside a robust governance layer for AI agent interactions.

  • Governed execution layer for AI agents, ensuring controlled interaction with enterprise APIs.
  • Seamless API connection, allowing developers to integrate existing APIs and OpenAPI definitions.
  • Runtime secret injection, preventing AI agents from directly accessing raw credentials.
  • Policy enforcement, applying governance controls before actions are exposed or executed.
  • Comprehensive audit trails, maintaining execution history and governance evidence for actions.
  • Sensitive data redaction, removing PII, PHI, and PCI from responses before reaching AI models.
  • Human approvals for sensitive or high-risk actions, adding an additional layer of control.
  • API-to-AI action conversion, transforming existing APIs into agent-ready actions and manifests.
  • API mocking for local development and testing workflows.
  • Node.js SDK and Datadog integration for forwarding audit and access logs.

use cases

Who Should Use KeyRunner 2.0?

KeyRunner 2.0 is designed for a diverse set of technical professionals and organizations that require secure and governed API interactions, particularly in the context of AI agent deployment and API development.

  • Developers: For secure API testing and development, utilizing its local-first API client, encrypted storage, and secret protection capabilities.
  • Security Teams: To enforce zero-trust execution models for AI agents, ensuring policy compliance and runtime credential isolation.
  • Platform Teams: For converting existing APIs into governed tools that AI agents can safely utilize, maintaining control over API access.
  • DevOps Teams: To automate API workflows through CLI, integrate with existing CI/CD pipelines, and manage API deployments securely.
  • QA Engineers: For API mocking during development and testing, and for sensitive data redaction and audit trails in API interactions.
  • AI Agent Builders: To enable AI agents (e.g., Claude, ChatGPT) to interact with enterprise APIs securely, without direct credential exposure, and with full auditability.
  • Enterprises: Organizations adopting AI agents that require robust governance, policy enforcement, and auditability for AI-driven API interactions.

how to use

How to Use KeyRunner 2.0

KeyRunner 2.0 can be utilized as a local-first API client for individual development or as a governed runtime for enterprise AI agents. Getting started involves connecting existing APIs and integrating the KeyRunner SDK.

  • 1Download and install the KeyRunner desktop application or VS Code extension for local-first API client functionality.
  • 2Import existing API collections from tools like Postman, Bruno, Insomnia, Thunder Client, or OpenAPI/Apigee exports.
  • 3Build and test API requests (HTTP, REST, GraphQL, gRPC, WebSocket) and inspect response schemas.
  • 4For AI agent governance, convert tested API requests into "governed tools" within the KeyRunner platform.
  • 5Add the KeyRunner SDK to AI agent projects to enable secure execution of governed API actions.
  • 6Configure policies for runtime enforcement, secret injection, sensitive data redaction, and human approvals for agent actions.
  • 7Monitor and audit AI agent API interactions through comprehensive audit trails and Datadog integration.

pricing

KeyRunner 2.0 Pricing & Plans

KeyRunner 2.0 offers a freemium business model with tiered plans designed for individual developers, teams, and enterprises requiring advanced AI agent security features. The pricing structure includes a free tier, a Zero Trust Explorer plan, and team-based subscriptions.

  • Free API Client: Free for individual developers, providing local-first API client functionality without requiring signup.
  • Zero Trust Explorer Plan: $29 per month, includes sharable workspaces, monitoring, health checks, enhanced security, Role-Based Access Control (RBAC), User Management (SCIM), activity and audit logs, a private API network, and sensitive data redaction.
  • Team Plans: Start at $49 per user per month, offering features for collaborative development and governance.

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Pros

  • +Provides a dedicated governed execution layer for enterprise AI agents, enhancing security.
  • +Offers runtime secret injection and sensitive data redaction, preventing credential exposure to AI models.
  • +Includes comprehensive audit trails and policy enforcement for regulatory compliance and accountability.
  • +Functions as a local-first API client, supporting various API types (HTTP, REST, GraphQL, gRPC, WebSocket) for developer productivity.
  • +Enables conversion of existing APIs and OpenAPI definitions into agent-ready actions.
  • +Offers a free tier for individual developers, making it accessible for initial exploration.

Cons

  • −Specific user reviews and detailed star ratings are not widely available on major review platforms.
  • −The focus on AI agent governance might be overly specialized for organizations not heavily invested in AI agent deployment.
  • −Requires integration of the KeyRunner SDK, adding a dependency to AI agent projects.
  • −The pricing model for teams and advanced features may be a consideration for smaller organizations.
  • −The platform's full capabilities for enterprise-scale AI agent governance are primarily available through early access programs.

Policies

Pricing Page

View Pricing→

Similar Tools

KeyRunner 2.0 vs Competitors

KeyRunner 2.0 positions itself as a specialized solution for governed AI agent execution and secure API management, differentiating from traditional API clients and broader API security platforms by focusing on the "governed execution layer for enterprise AI agents."

1

Postman

A widely used API platform for building, testing, and documenting APIs. KeyRunner is presented as an alternative with enhanced governance for AI agents.

View on Stork→
2

Insomnia

An open-source API client for designing, debugging, and testing APIs. KeyRunner offers similar API client functionalities with added security and governance for AI agents.

View on Stork→
3

Microsoft Power Automate

A platform for automating workflows across apps and services, including desktop automation and AI Builder for intelligent processing. It offers API connectivity and can be used to build AI-powered automations.

Visit→
4

UiPath

A leading Robotic Process Automation (RPA) platform that includes AI capabilities and can automate tasks across various applications, including those involving APIs.

Visit→

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