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

A side-by-side comparison of CleanSlop and Relaticle — 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

Open-source, self-hosted CRM with built-in AI chat and a 37-tool MCP server so external agents can read and update customer data.

Built-in AI Chat: Ask Rela anything about your CRM, @-mention records to scope a question, approve destructive actions, and undo with one click; supports voice input and searchable history.
37-Tool MCP Server: Connect Claude, ChatGPT, Gemini, or any custom MCP client for full CRUD over contacts, companies, deals, tasks, and notes, plus pipeline analysis.
Customizable Data Model: 22 field types including entity relationships, conditional visibility, and per-field encryption so the schema matches how your team actually sells.
Sales Pipeline Management: Custom opportunity stages, lifecycle tracking, and win/loss analysis across companies and contacts.
Task and Note Tracking: Create, assign, and link tasks and notes to any record; ask the chat to draft follow-ups or roll up what's due.
Team Collaboration: Multi-workspace support with role-based permissions and five-layer authorization.
Import and Export: CSV migration from any CRM with column mapping, validation, and error handling, plus export at any time.
Self-Hosting: Deploy on your own server with the published Docker Compose file under AGPL-3.0, with unlimited users and records.

A small sales team wants a CRM their Claude or ChatGPT agents can safely read and update without building a custom integration.
A privacy-conscious company needs customer data to stay on infrastructure it controls rather than in a third-party SaaS.
A founder migrating off HubSpot or Attio wants an open-source alternative with no per-seat pricing.
An operations lead automates pipeline hygiene — logging notes, rescheduling tasks, updating deal stages — through an agent with approval gates.
A developer builds a custom internal tool on top of the REST API and MCP server rather than a closed CRM's limited integrations.
A team standardizes on one shared schema so manual edits, in-app chat, and external agents never drift apart.