Honest comparison

Clay is good. We're not pretending otherwise.

Clay's waterfall enrichment is a real idea, well executed, and it's why a chunk of small-agency and solo-founder Reddit threads end in "just use Clay." This isn't a takedown. It's where the two actually diverge, so you can pick the right one.

DimensionClayMagFlow AI
Pricing model Two separate metered pools — actions and data credits — each capped, each billed independently One flat monthly rate, nothing metered underneath it
Entry price (monthly) $185/mo for 15,000 actions/mo — caps fast on a real waterfall €299/mo, unmetered within normal use
Setup time to first result Spreadsheet-grid canvas — column mapping, provider selection, conditional logic before your first list returns A form. Set your target, submit, review the workspace
Data coverage outside the US Native marketplace leans US/VC-backed — thin for UK, Ireland, ANZ SMBs and agencies Scraper-first — same mechanism regardless of whether a company raised a Series A
Phone / mobile numbers Native — 150+ vendor marketplace includes dedicated mobile-lookup providers Not scraped by default — mobile data generally isn't public. Connect your own provider key to add it (see below)
Learning curve Real — RevOps admins describe needing AI assistance to use half the platform's capability One structured form, no workflow to design
Sending Native sequencer built in None built in, by design — connects to your existing Smartlead / Instantly account instead
Workflow flexibility Near-unlimited — custom HTTP calls, webhooks, CRM sync, multi-step agent chains Fixed pipeline — a deliberate trade for predictable cost, not a feature gap we're hiding
Team / seat model Built for teams — CRM auto-sync, RBAC, priority support at higher tiers Built for one operator or a small agency — not yet a team tool
Personalized deliverables per lead Text-variable personalization; media generation isn't native Minimal landing page with live logo — deliberately no video or PDF, so that cost goes into accuracy instead
Cross-source confirmation Waterfall stops at the first valid answer from one source — never checks a second A field is only shown as high-confidence once a second independent source confirms it, visibly labeled either way
CRM integrations Deep — Salesforce, HubSpot, warehouse sync CSV / webhook export only, for now
On the mobile-number row specifically: that's not a gap we're glossing over. Scraping finds what's published — a site, a LinkedIn profile, a press mention. Mobile numbers usually aren't published anywhere, which is exactly why Clay pays for commercial access to vendors like Prospeo and Wiza rather than scraping for them. MagFlow AI doesn't include phone lookup in v1 — the effort that would have gone into a BYO-provider integration went into the corroboration engine instead, since that's the actual differentiator.
Where Clay is the right call: if you're a team that needs CRM auto-sync, RBAC, and the flexibility to build genuinely custom multi-step workflows, and you have the time (or a "Claygency") to build and maintain them — Clay's ceiling is higher than ours, on purpose. We're not trying to out-flex a platform built for that.
Where MagFlow AI is the right call: you're one person or a small team, you already know roughly who you're targeting, and you want a clean list with verified contacts and a personalized angle — without spending a weekend configuring a canvas to get there.

On the numbers

The "expensive" complaint, sourced

Search Clay on any sales forum and the price comes up constantly — but read closely and it's rarely the sticker price people are objecting to. It's the second, separate meter.

"It's a good overall tool. But gets expensive fast, especially with CRM integrations costing $800/m."
"The problem is I'll quickly end up having to pay $150/m for just [domain enrichment], which doesn't make much sense."

Neither of those is about the base plan. Both are about scope creep once actions and data credits both need topping up. That's the exact bill MagFlow AI's flat rate is built to avoid.

See the flat-rate breakdown →