Adapt.io vs Forager.ai: Which B2B Data Tool Wins?
If you're weighing Adapt.io against Forager.ai for your sales stack, you've already noticed something: this comparison barely exists online. Neither tool is a household name, but both serve real use cases - and picking the wrong one means wasted budget and a week of trials you won't get back.
Here's the breakdown.
30-Second Verdict
Pick Adapt.io if you want a proven Chrome extension backed by 2,789 G2 reviews. Budget for the daily contact caps, though - your SDRs will hit them.
Pick Forager.ai if you need mobile numbers at scale with transparent pricing and credit rollover. It only has 5 Datarade reviews, so you're betting on a thinner track record.
Skip both if email accuracy matters most. We've found that Prospeo's 98% verified email accuracy on a 7-day refresh cycle costs roughly a tenth per email compared to either option.
Forager.ai vs Forage AI - Don't Get Confused
Quick but important: Forage AI is a managed data extraction company (web scraping, document parsing) with its own G2 listing. Forager.ai is a B2B contact data platform (person/company records, mobiles, enrichment, intent signals). The names are nearly identical, and it's easy to land on the wrong reviews page. Double-check which product you're actually reading about before you draw any conclusions.
Feature Comparison at a Glance
| Adapt.io | Forager.ai | Edge | |
|---|---|---|---|
| Database | 250M+ contacts | 850M+ person & company records | Forager.ai |
| Accuracy | Mixed (14 G2 complaints) | 99% (site) / 95% (Datarade) | Forager.ai (on paper) |
| Refresh cycle | Not publicly stated | Every 2.5 weeks | Forager.ai |
| Intent data | None public | 100M+ signals/mo | Forager.ai |
| Chrome extension | Yes (71 G2 mentions) | Not highlighted | Adapt.io |
| CRM integrations | Salesforce, HubSpot | Salesforce, HubSpot, Snowflake, Zapier | Forager.ai |
Forager.ai wins on paper specs. Adapt.io wins if you care most about a mature review footprint and a widely-used extension workflow.
The accuracy gap deserves scrutiny. Forager's homepage claims 99%, their Datarade listing says 95%, and both numbers are vendor-supplied. Their own testimonials emphasize a quality-over-coverage tradeoff - high quality, but coverage can be lighter in certain verticals. If you want the underlying mechanics, see B2B contact data decay and how refresh cycles impact deliverability.
Both Adapt.io and Forager.ai charge roughly $0.10 per email - and neither can verify their accuracy claims consistently. Prospeo delivers 98% verified email accuracy at ~$0.01/email with a 7-day data refresh cycle, not the weeks (or silence) you get from these two.
Stop paying 10x more for emails that bounce.
Pricing Compared
Adapt.io uses contact caps per day, with email credits allocated monthly:
| Plan | Price | Email credits | Phone credits |
|---|---|---|---|
| Free | $0/mo | 25/mo | None |
| Starter | $49/mo | 500/mo | None |
| Basic | $99/mo | 1,000/mo | 100/mo |
| Custom | Talk to sales | Negotiable | Negotiable |
Forager.ai charges 15 credits per mobile and 5 per email:
| Plan | Price | Mobiles/mo | Emails/mo |
|---|---|---|---|
| Starter | $50/mo | ~150 | ~450 |
| Growth | $100/mo | ~350 | ~1,050 |
| Pro | $250/mo | ~1,080 | ~3,240 |
Credits roll over on monthly plans.
Cost per email: Adapt.io Starter runs about $0.10 ($49 for 500), Forager.ai Starter about $0.11 ($50 for 450). Both are roughly 10x more expensive than Prospeo's ~$0.01 per email. If you're benchmarking list costs, compare against average cost per lead by industry.
Here's the thing: if your average deal size is under $15k, neither tool's per-email cost makes sense at scale. You'll burn through credits before your SDRs finish their Tuesday list.
What Users Actually Say
We dug through every review source we could find. Adapt.io has the volume to draw real conclusions from - across 2,789 G2 reviews, the Chrome extension gets the most love (71 mentions). But complaints are specific and recurring: 34 reviewers flagged credit limits as a blocker, 24 mentioned unexpected charges, and 14 reported incorrect emails. One Capterra reviewer called the platform "very slow to load" with a mobile experience that was "almost unusable." If bounces are hurting you, it’s worth tightening your CRM data hygiene and running a proper email list cleaning workflow.
Forager.ai's review footprint is tiny. One Datarade reviewer highlighted far fewer bounced emails and praised the bi-weekly refresh cadence and transparent pricing. But five reviews isn't a pattern - it's an early signal.
Neither tool has meaningful Reddit discussion for this exact matchup. The only Adapt.io thread we found comparing it to an alternative went unanswered, and "Forager" searches mostly return results about virtual internships or unrelated products.
When to Pick Each Tool
Adapt.io makes sense if your team already relies on its Chrome extension and you want a product with substantial review volume behind it. In our testing, the extension is genuinely fast - it's the strongest part of the product. Just budget for the credit walls. If you’re building a broader stack, see our guide to outbound prospecting tools.
Forager.ai is the better bet for mobile-heavy outreach. The 200M+ verified mobiles, transparent pricing, and credit rollover give it a structural advantage for teams dialing at volume. The tradeoff: a thinner review base and that unresolved accuracy discrepancy between their homepage and Datarade listing. If you’re leaning on intent signals, read intent data for SDRs and the types of intent data.
Skip both if you're an outbound agency running multiple client campaigns where domain reputation is everything. The accuracy gaps and credit restrictions create risk you don't need. For deliverability fundamentals, start with hard bounce vs soft bounce.
A Stronger Alternative to Both
Let's be honest - if accuracy and data freshness are non-negotiable, both tools leave gaps. Prospeo fills them directly: 98% verified email accuracy, 125M+ verified mobile numbers with a 30% pickup rate, and a 7-day data refresh cycle where the industry average sits at six weeks. The database covers 300M+ professional profiles with 30+ search filters including buyer intent signals powered by Bombora across 15,000 topics.
Adapt's credit restrictions and email accuracy complaints disappear at ~$0.01 per email with 98% deliverability. Forager's inconsistent accuracy numbers become irrelevant against a 5-step verification process with catch-all handling and spam-trap removal. If you want to sanity-check any provider’s claims, use a repeatable process like this: how to validate email addresses and how to check if an email is valid. Native integrations cover Salesforce, HubSpot, Smartlead, Instantly, Lemlist, Clay, Zapier, and Make - more of the outbound stack than either competitor.
Free tier: 75 emails and 100 Chrome extension credits per month, no credit card required.
Forager.ai claims 200M+ mobiles but has 5 reviews to back it up. Adapt.io gates phone credits behind $99/mo plans. Prospeo gives you 125M+ verified mobile numbers with a 30% pickup rate - no credit walls, no guesswork.
Verified mobiles and emails in one platform, starting free.
FAQ
Is Forager.ai the same as Forage AI?
No. Forager.ai sells B2B contact data - person records, mobiles, enrichment. Forage AI is a managed data extraction company focused on web scraping and document processing. Different companies, different products. The similar names regularly send buyers to the wrong review page.
Which tool has better mobile data?
Forager.ai claims 200M+ verified mobiles. Adapt.io doesn't publish a mobile count and restricts phone credits to the $99/mo+ plan. Between the two, Forager has the clear edge for dial-heavy teams.
Does Forager.ai offer a free plan?
Forager.ai advertises "Start Free" and "No credit card required," but doesn't publish free-tier limits on its pricing page. Adapt.io offers a free plan with 25 email credits per month plus daily contact caps.
How does Adapt.io vs Forager accuracy compare in 2026?
Adapt.io doesn't publish an accuracy rate, but 14 G2 reviewers flagged incorrect emails. Forager.ai claims 99% on its homepage and 95% on Datarade - a gap worth questioning. For teams where bounce rates directly impact domain reputation, a tool with independently verifiable accuracy numbers and a multi-step verification process is the safest path forward.