Cleanlist AI vs Prelint: Features, Pricing & Which Is Better (2026)

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

Cleanlist AI

Cleanlist

Freemium

AI-powered B2B prospecting and enrichment that turns plain-English prompts into verified, CRM-ready lead lists via a 15-provider waterfall.

Conversational List Builder: Describe any target list in plain English and the Co-Pilot returns a fully enriched, CRM-ready set of leads.
15-Provider Waterfall Enrichment: Providers compete in real time on every contact to deliver 98% email accuracy and 85% direct-dial find rates.
Company-First ICP Search: Filter by industry, size, geography, tech stack, hiring signals, and funding stage, then pull every relevant decision-maker.
LinkedIn & Sales Navigator Extension: Open any profile, click Cleanlist, and get a verified email and direct dial in two seconds.
CSV Enrichment: Drop 500 rows and each is run through the full waterfall, returning verified emails, direct dials, titles, and firmographics.
Native CRM Sync: One-click, two-way sync to HubSpot, Salesforce, Pipedrive, Outreach, Salesloft, and lemlist — no Zapier required.
AI Columns and Smart Agents: AI-generated columns add ICP scoring, company summaries, and competitor notes with the reasoning behind each answer.

Outbound Prospecting: Sales reps build targeted lead lists on demand and push them straight to a sequencer.
RevOps CRM Cleanup: Ops teams re-enrich stale HubSpot or Salesforce records to restore email deliverability and phone connect rates.
Inbound Speed-to-Lead: Trigger enrichment on new form fills so reps have full context within minutes of a signup.
ABM Account Expansion: Discover every relevant decision-maker inside a target account list without juggling multiple databases.
Sales Stack Consolidation: Replace ZoomInfo/Apollo plus a separate email verifier and phone tool with one credit-based platform.

Paid

AI reviewer that checks every pull request against your ADRs, docs and past decisions to catch product drift before it ships.

Context-Aware Review: Reviews each PR against your ADRs, product docs and past decisions instead of only linting style or syntax.
Product Drift Detection: Flags conflicts, gaps and drift between the PR's intent and your product context inline in the diff.
Agent Self-Correction: The Prelint agent can self-correct against detected violations before a human reviewer opens the PR.
GitHub & GitLab Integration: Runs on both major hosted git platforms with native PR/MR integration.
Isolated Infrastructure: Every organization runs on isolated per-organization infrastructure and Prelint does not train on customer code.
Usage-Based Pricing: $1 per completed review with $10 in free credits, no seats or subscription.

AI-Written PR Triage: A team using coding agents like Copilot or Claude Code lets Prelint gate agent PRs against product intent before humans look.
Architecture Enforcement: A platform team encodes architecture decisions in ADRs and uses Prelint to catch PRs that violate them.
Onboarding Safety Net: A new engineer's early PRs get reviewed against product context they haven't fully internalized yet.
Open Source Maintenance: A maintainer of a public repo enables Prelint (free for OSS) to review incoming contributions for product fit.
Cost-Controlled Review: A startup wants automated review without paying per developer seat and pays $1 per PR instead.