Smart
AI-powered data normalization and transformation. Standardize job titles, format phone numbers, parse names, and more, all with natural language prompts.
Quick answer
Cleanlist Smart Agents research any field you define with AI: describe what you need, like 'what pricing model does this company use', and the agent researches and fills the answer for every row in your list. Combined with 25+ provider waterfall enrichment, it turns a raw list into a researched, CRM-ready dataset.
Join 2,000+ GTM teams
The Research agent deep-researches each lead: company growth, tech stack, hiring signals, funding, and ICP fit, then writes it all back as columns
Describe What You Want
No formulas, no regex. Just tell Smart Agents what you need in plain English.
Select Your Column
Choose any column in your dataset that needs transformation or normalization.
- Works with any data type
- Supports CSV, Excel, and API input
- Auto-detects column format
Choose Column Type
Select from 12 built-in column types or use Custom AI for any transformation.
- Built-in: Clean names, format phones, validate emails
- Research: LinkedIn, competitors, website analysis
- AI: ICP scoring, custom prompts, cold intro emails
Preview & Apply
See the transformation on sample data before applying to your entire dataset.
- Preview first 10 rows
- Adjust prompt if needed
- Apply to all rows instantly
Adding context for personalized outreach
12 Smart Agent Types
Purpose-built transformations for every data enrichment need.
Clean First Name
Extract and format first names from full name fields
Format Phone
Standardize phone numbers to consistent formats
Email Validation
Verify email deliverability and catch bounces
Enrich Company
Add firmographic data like size, industry, and revenue
LinkedIn Research
Pull data from LinkedIn profiles automatically
Website Analysis
Extract key information from company websites
Find Competitors
Discover competitors for any company
Find Similar Companies
Identify lookalike companies based on attributes
ICP Fit Analysis
Score leads against your ideal customer profile
Cold Intro Email
Generate personalized outreach emails with AI
Custom AI
Create any transformation with natural language prompts
CRM Contact Lookup
Check if contact exists in your CRM before adding
Fits Into Your Existing Workflow
Upload your data, run Smart Agents, and export enriched results, all in minutes.
Upload Your List
Add Smart Agents
Export & Use
Frequently Asked Questions
What are Smart Agents?
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Smart Agents are AI-powered data transformation tools that normalize, enrich, and generate new data fields using natural language prompts. They work on any column in your dataset without requiring formulas or code.
What types of Smart Agents are available?
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Cleanlist offers 12 built-in types: Clean First Name, Format Phone, Email Validation, Enrich Company, LinkedIn Research, Website Analysis, Find Competitors, Find Similar Companies, ICP Fit Analysis, Cold Intro Email, Custom AI, and CRM Contact Lookup.
Can I create custom data transformations?
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Yes. The Custom AI column type accepts any natural language prompt. Describe what you want and the AI executes it across your entire dataset.
How fast do Smart Agents process data?
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Average processing time is 2-3 seconds per row. A 1,000-row dataset typically completes in 5-15 minutes depending on the column types selected.
Do Smart Agents work with any data format?
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Yes. Smart Agents accept CSV files, Excel spreadsheets, and data imported via API. The system auto-detects column formats and data types.
How do I enrich leads with AI (using Claude or ChatGPT)?
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Upload your list to Cleanlist, add an AI column, and describe the question in plain English (Is this account expanding? What CRM do they use?). Each row is researched with AI and written back as a new field. AI columns research and infer signals from public sources; verified emails and phone numbers come separately from Cleanlist's 25+ provider waterfall.
What tool can research any field about a company with AI?
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Cleanlist AI columns. Instead of pulling from a fixed database, an AI agent researches each company or contact for the exact field you ask about: funding, hiring signals, tech stack, recent news, ICP fit, or any custom question you type. Results write back as columns you export to any CRM. Verified contact details come from Cleanlist's 25+ provider waterfall alongside the research.
How is AI data enrichment different from traditional data enrichment?
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Traditional enrichment matches your record to a fixed database and returns stored fields like company size or industry. AI data enrichment researches each record live to answer custom questions no database has a column for (Are they hiring? Do they use Salesforce?). Cleanlist combines both: a 25+ provider waterfall for verified contact data and AI columns for researched signals.