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

A side-by-side comparison of CleanSlop and Frigade — 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.

Paid

AI product assistant that learns your app by using it, then answers questions, runs workflows, and guides users in-product.

Live Product Learning: Agents use the application the way a real user would and re-document workflows every release, so answers reflect the product as it is today rather than outdated help articles.
Skills and Tool Calls: The assistant can take actions inside the product and complete a step on the user's behalf, no custom code required for each workflow.
Generative UI Answers: Responses render as interactive UI elements instead of plain chat text, so the user sees the actual controls involved in a task.
AI-Generated Tours and Nudges: Product tours and in-app nudges are built on demand from the live UI with prompt-based creation, no manual element tagging, and self-healing when the UI changes.
Assist API: Teams that already run their own agent can plug it into Frigade so it inherits product expertise without a rebuild.
Engage React Components: Drop-in React components for onboarding checklists, flows, and product tours.
Friction Insights: Reporting on where users get stuck and why, with dashboards, Slack alerts, and webhooks into PostHog, Amplitude, Mixpanel, and Segment.
Enterprise Deployment Options: Cloud or self-hosted with your own LLM keys, SOC 2 Type II, GDPR compliance, SSO via SAML 2.0, and EU data residency.

Support Deflection: Answer a user's question inside the product and resolve the workflow before a support ticket is ever opened.
User Activation: Guide brand-new users through account setup and first-run configuration so they reach value faster.
Virtual CSM: Provide account-level guidance across customer tiers without staffing a human success manager on every account.
Feature Adoption: Surface newly shipped features in context, at the moment a user is doing related work.
Expansion and Upsell: Prompt in-product upgrade paths where the user already feels the limitation.
Agent Enablement: Use the Assist API to give an existing in-house support agent accurate, current knowledge of the product UI.