CleanSlop vs Tables.so: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of CleanSlop and Tables.so — 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.

Tables

Freemium

AI prospecting platform that searches 300M+ contacts, enriches leads with verified emails and phone numbers, and researches every prospect.

AI Search: Describe your ideal customer in plain language and get a scored, qualified lead list in minutes instead of hand-building filters.
Contact Database: Search over 300 million contacts and companies across 30+ criteria including title, seniority, technology stack, and geography.
Verified Contact Data: Reveal verified work emails, mobile numbers, and direct dials, with credits charged only when data is actually found.
Custom AI Research Columns: Add scores, dropdowns, and yes/no fields answered by AI, each with its reasoning and source citations.
Claude MCP Server: Run agentic prospecting workflows inside Claude, including reading local lead lists and enriching them with live data.
Chrome Extension: Reveal emails and phone numbers on any LinkedIn profile and push contacts straight to your CRM.
CRM Sync: Export whole lists or cherry-pick individual leads into your CRM and keep records in sync as they change.
ICP Scoring: Every prospect is scored for fit against your ideal customer profile so reps focus on the highest-value accounts.

An outbound SDR team builds a targeted prospect list for a new segment without hours of manual scraping.
A founder-led sales motion needs verified mobile numbers and emails for decision makers at specific company types.
A RevOps lead enriches an existing CRM export with missing contact details and firmographic data.
A marketer researches which prospects use a given technology — Shopify, WooCommerce, Magento — before running a campaign.
A seller preparing for a call pulls AI-researched context on a prospect's business, hiring, and priorities.
An agent-driven workflow in Claude reads a local CSV of leads and enriches each row automatically via MCP.