CleanSlop vs ZeroSphere: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of CleanSlop and ZeroSphere — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

CleanSlop

Freemium

Scans vibe-coded apps for launch-blocking issues like leaked keys and data exposure, and reports what to fix first, right from your coding agent.

Agent-Native Scanning: Tell Claude Code, Codex, Cursor or other agents to scan with CleanSlop and fix findings where you build.
System-Level Code Mapping: Maps routes, background jobs, data and external services so each finding follows a real call path.
Prioritized Reports: Findings grouped as needs attention, worth a look and minor, worst first.
Evidence for Every Finding: Shows where each issue lives in your code and why it was flagged.
Plain-English Fixes: Explains what is wrong, why it matters and what to do about it.
Copy for LLM: Hands any report to your AI tool so it can apply the fixes.
GitHub App Integration: Scan only the repositories you select, read-only access.
Expert Triage Calls: Book a 15-minute call with a CleanSlop engineer to walk through findings.

A solo founder checks a Next.js and Supabase app built with an AI coding assistant before launching.
A developer discovers an exposed AI API key bundled into browser code and moves it to a server route.
A side-project builder verifies that one user's data cannot be read by another through database policies.
A Claude Code user runs a scan from the terminal and has the agent fix the top findings.
A team lead gets a short prioritized list instead of hundreds of linter warnings.
An indie hacker books an expert triage call to confirm an ambiguous finding.

Freemium

Gives an AI agent its own isolated virtual display on your Windows machine, so it can drive real desktop apps while you keep using your desktop.

Isolated Virtual Display: Creates a dedicated second display for AI inside your existing Windows session, so the machine is shared but the workspace is not and the agent never competes for your cursor.
Scoped Application Access: You choose which applications and resources the AI can reach and what it may interact with, replacing uncontained desktop access with a boundary you draw.
Automatic Prompt Blocking: UAC prompts and desktop notifications are blocked from entering the AI's workspace, keeping system dialogs and interruptions out of the agent's reach.
Real-Time Observability: The agent's display can be watched live as it works, so you see what it is doing rather than reconstructing it from logs afterwards.
Interactive Takeover: You can take control of the virtual display yourself at any moment and let the AI resume from where you left off when you are ready.
Parallel Workspaces: Multiple tasks run simultaneously, each with its own virtual display and its own resolution, so several AI processes work at once without colliding.
GUI Application Support: Agents open and operate existing desktop software — CAD, simulation, creative and specialized research tools — with no need to rebuild the applications for AI.
Bring Your Own Keys: You supply your own model provider credentials and pay Anthropic, OpenAI, Google or your preferred provider directly rather than buying tokens through ZeroSphere.

GUI Test Automation: A developer has an agent launch the application being built, interact with its interface, inspect what happens and iterate — work a terminal-only agent cannot do.
Bug Reproduction: An engineer sends an agent to reproduce a reported defect in a real running app and observe the failure, while continuing to work on their own desktop.
CAD and Simulation Workflows: An engineer delegates repetitive operations in specialized engineering software that has no API surface for automation.
Safe Agent Experimentation: A team trials computer-use agents without giving them access to personal files, system settings or financial applications on the primary desktop.
Creative Tool Operation: A designer lets an agent perform routine steps inside visual and creative applications on the same machine where the source files live.
Parallel Task Execution: A developer runs several agent tasks at once, each in its own display, instead of serializing them through one shared screen.