Cheaper Claygent Alternative
If you have used Clay, you have probably heard of Claygent, Clay’s AI research agent that browses the web, reads company sites, and fills in answers your enrichment providers cannot. It works. It is …
If you have used Clay, you have probably heard of Claygent, Clay’s AI research agent that browses the web, reads company sites, and fills in answers your enrichment providers cannot.
It works. It is also expensive, lives inside a spreadsheet workflow, and still leaves you wiring up a separate sequencer, inbox, and CRM before anything actually gets sent.
MailMoo’s AI Lead Enrichment and Research Agent cover the same core job: AI powered research on every lead. But they sit inside a full GTM outbound platform. You enrich, qualify, personalize, and send from one place. For most teams, that costs a fraction of what Claygent style workflows run.
What Claygent does (and what it costs)
Claygent is Clay’s built-in AI researcher. You write a prompt, point it at a row in your table, and it:
Visits websites in real time
Reads pages like a human would
Returns structured answers to specific questions about a company or person
That is genuinely useful for things static data vendors miss: a company’s positioning, a niche product line, a recent pivot, or whether an account actually fits your ICP.
The catch is cost and stack complexity.
After Clay’s 2026 pricing update, AI research runs on Actions, separate from Data Credits used for email and phone lookups. A single Claygent task typically consumes 5 to 15 Actions, and when you factor in the base Clay subscription plus other enrichment steps, teams often land around $0.15 to $1.12 per lead for research heavy workflows.
Clay’s self serve plans start at $185/month (Launch) and $495/month (Growth), before credit top ups, Sales Navigator, and the outbound tools Clay does not include natively.
Claygent solves research. It does not solve outreach.
MailMoo Lead Enrichment: Claygent style research, built into your campaign
MailMoo’s Research Agent columns work like custom AI researchers on your lead table. You define a prompt, pick a model, and MailMoo fills a column for every lead, automatically or on demand.
What you can do
Ask anything about a lead. Write a prompt using your existing columns ({{Company Name}}, {{Website Link}}, {{Job Title}}, etc.) and let AI generate the answer. Use it for company summaries, value props, personalized openers, normalized names, and more.
Turn on web search for live research. When web search is enabled, MailMoo’s agent searches the public web and scrapes pages, the same class of work Claygent does. It can find LinkedIn profiles, read company sites, pull location and industry data, and ground answers in real evidence instead of guessing.
Start from templates. MailMoo ships ready made enrichment templates, including:
Find LinkedIn Profile (with web search)
Company Executive Summary
Get Company Location
Get Company Industry
Personalized Email Opener Message
Personalized LinkedIn Opener Message
Normalize First Name / Company Name
Choose the model that fits the job. Pick from Gemini, Claude, and GPT models at three tiers:
Tier | Example models | Credits per lead |
|---|---|---|
Flash | Gemini 2.5 Flash, Claude Haiku, GPT-4o Mini | 0.25 |
Standard | Gemini 2.5 Pro, Claude Sonnet, GPT-4.1 | 1 |
Premium | Gemini 3.1 Pro, Claude Opus, GPT-5.2 | 2 to 3 |
Enabling Web search adds a flat 0.25 credit surcharge. No surprise token bills.
Auto enrich new leads. Turn on auto update and every new lead that enters your campaign gets enriched automatically. No manual “run column” step every time you import a list.
Pipe results straight into outreach. Enrichment outputs are normal columns. Drop them into LinkedIn messages, email sequences, personalized videos, and landing pages without exporting to another tool.
Research Agent: structured Claygent style output, built for qualification
For workflows where you need consistent, structured research rather than free form text, MailMoo’s Research Agent is the closer analog to Claygent.
Research Agent columns return strict JSON with a fixed schema, so every lead gets the same fields in the same format. That makes filtering, sequencing, and personalization predictable.
Company Research template (included)
Out of the box, the Company Research agent returns:
Company summary: what the company does, grounded in evidence
Industry: best guess classification
Location: headquarters city and country
ICP alignment reasoning: how the company fits your ideal customer profile
Fit signals: specific, defensible reasons the account matches (or does not)
Research Agent pulls from your lead data, website context, and your workspace AI Context, especially your ICP description, so qualification is tied to your business, not generic AI filler.
Promote fields into columns
Any JSON field can be promoted into its own column. Use fit signals in a LinkedIn note, industry in a filter, or ICP reasoning in your CRM notes without copy pasting from a JSON blob.
Works with ICP Score
MailMoo’s ICP Score column (0 to 4) scores every lead against your ICP. Auto enrichment runs Research Agent columns first, then scores ICP when configured. You can even add a Filter by ICP Score step in your sequence so low fit leads never get messaged.
That is a full qualify then outreach loop Claygent alone cannot give you.
The price comparison: why MailMoo is cheaper
This is where the “Cheaper Claygent alternative” title earns itself.
Claygent style cost per lead
Industry estimates put Claygent at roughly $0.15 to $1.12 per researched lead, depending on prompt complexity and how many pages the agent visits, before your Clay subscription and data enrichment credits.
MailMoo cost per lead
MailMoo charges content credits for AI enrichments. Pricing is transparent and flat per lead:
Flash model: 0.25 credits per lead
Flash + web search: 0.5 credits per lead (0.25 model + 0.25 web search)
Standard model + web search: 1.25 credits per lead
Content credit bundles (ex VAT):
Pack | Price | Cost per credit |
|---|---|---|
500 | €39/mo | €0.078 |
2,500 | €99/mo | €0.040 |
5,000 | €179/mo | €0.036 |
10,000 | €358/mo | €0.036 |
Example: Company research with web search on a flash model
0.5 credits × €0.036 = ~€0.018 per lead
1,000 leads researched = ~€18 in credits
That is an order of magnitude cheaper than typical Claygent workflows, and you are not paying $185 to $495/month just for the spreadsheet layer on top.
Why MailMoo is not just cheaper. It is better for outbound teams.
Clay is an enrichment and orchestration layer. MailMoo is a GTM automation platform. That difference matters if your goal is booked meetings, not prettier spreadsheets.
Everything after enrichment is already built in
Capability | Clay + Claygent | MailMoo |
|---|---|---|
AI web research on leads | ✅ | ✅ |
Structured research / JSON output | ✅ (with setup) | ✅ Research Agent |
ICP scoring & sequence filtering | ❌ (manual / external) | ✅ Built-in |
LinkedIn sequences (DM, InMail, visits) | ❌ Need add-on | ✅ Native |
Email sequences | Basic native sequencer | ✅ Multi-channel |
Unified inbox (LinkedIn + email) | ❌ | ✅ |
Personalized AI videos | ❌ | ✅ 1 credit/minute |
Personalized landing pages | ❌ | ✅ |
Built-in AI CRM | ❌ | ✅ |
Sales Navigator import | ❌ | ✅ |
AI campaign assistant | ❌ | ✅ |
With Claygent, the typical stack looks like: Clay, then a sequencer, then an inbox, then a CRM, then a video tool. Each with its own subscription, integration, and data sync headaches.
With MailMoo, enrichment outputs flow directly into the message, sequence step, or video script sitting in the same campaign.
Research that actually triggers outreach
The point of lead research is not a filled column. It is a reply.
MailMoo closes that loop:
Import leads (CSV, Sales Navigator, or AI lead search)
Run Research Agent (company summary, ICP fit, fit signals)
Score with ICP (filter out bad fits automatically)
Personalize (use enrichment fields in LinkedIn DMs, emails, or AI videos)
Send sequences (multi step LinkedIn + email with smart limits and auto stop on reply)
Manage replies (unified inbox with AI reply assistant)
Claygent stops at step 2. MailMoo runs the full playbook.
Grounded AI, not hallucinated fluff
Both MailMoo’s Research Agent and web search enrichments are prompt engineered to ground answers in evidence: lead fields, scraped site content, and your ICP context. Fit signals must tie observable facts to ICP relevance, or explicitly say “insufficient data.”
That matters when you are paying per lead and sending real messages under your brand.
Who should switch from Claygent to MailMoo?
MailMoo is the better fit if you:
Run LinkedIn first or multi channel outbound and want research tied to sending
Need ICP qualification before outreach, not just a research column
Want predictable per lead pricing instead of Actions, Data Credits, and top ups
Are tired of exporting enriched lists into a sequencer and inbox
Use personalized video or landing pages as part of your motion
Clay may still win if you need a pure data orchestration layer with 150+ enrichment providers and complex waterfall logic, and you already have a full outbound stack you love.
But if Claygent is your main use of Clay, you are likely overpaying for a narrow slice of what MailMoo includes by default.
Getting started
You do not need a GTM engineer to set this up.
Create a campaign and add your leads
Click Add enrichment → Use Research Agent for structured company research
Or choose Add AI enrichment with web search for custom Claygent style prompts
Turn on ICP Score to qualify leads before they enter your sequence
Build your sequence and go live. Enrichment columns are already in your message variables.
*Disclaimer: Prices were last updated 1st of July 2026.
