Xverum Pricing, Reviews, Pros & Cons (2026)
You're evaluating a data vendor that costs $1,000/mo and has exactly one public review. That's the situation with Xverum - and it should give you pause before committing budget. It's a raw dataset provider with broad coverage claims and almost zero social proof.
30-second verdict: Xverum sells pre-processed B2B datasets for data engineering and analytics teams, not sales prospecting. Firmographic data starts around $900-$1,000/mo via API. The single public review is positive, but one review isn't due diligence - it's a coin flip. If you need verified emails and direct dials for outbound, you're in the wrong product category entirely.
What Is Xverum?
Xverum is a raw dataset provider covering people, companies, jobs, and points of interest. Think of it as infrastructure for data teams building ML models, analytics pipelines, or market research platforms - not a tool your SDRs would log into.
Their own site highlights 750M+ professionals, 46M+ companies, 250M+ POIs, and 10M+ daily job posts. On Datarade, those numbers bump up: 800M+ verified profiles, 10B+ data items verified monthly, and 600M+ attributes updated daily. Whether the discrepancy reflects different counting methodologies or just aggressive marketplace positioning, we couldn't confirm.
One quick note: don't confuse Xverum with VEERUM, a completely different company building digital twin software for industrial assets. They share nothing but a similar name.
Xverum Pricing Breakdown
Xverum doesn't publish pricing on its own website. You'll need to go through Datarade or contact them directly.
| Xverum Dataset | Starts At | Delivery |
|---|---|---|
| Firmographic B2B Data (50M+ companies) | $900-$1,000/mo | API |
| POI / Location Data (230M+ locations) | $1,800-$2,000/mo | API |
| B2B Intent Data (job change signals) | $2.25-$2.50 / 1K API calls | API |
| Full range | $2.50/1K calls - $100K/yr | API, JSON/Parquet |
The $900-$1,000/mo entry point is consistent with Enrich Layer's competitive analysis, which pegs Xverum at roughly $1,000/mo. Expect annual commitments at this price tier - that's standard for mid-market data contracts (see Third-Party Data Providers).
You might see a $300/mo figure floating around on Slashdot, but that's for Xverum's AnnA Residential IP Network - a proxy/scraping service, not the B2B dataset product. Don't confuse the two.
Pros and Cons
Pros:
- Broad dataset coverage spanning people, companies, jobs, and POI from one vendor
- Daily attribute refresh on 600M+ attributes, which is aggressive for this category
- 10B+ data items verified monthly - serious infrastructure behind the scenes
- Pre-processed datasets that reduce data ops costs by an estimated 65-85%
Cons:
- Only one public review exists anywhere - zero on Reddit, nothing on G2 or TrustRadius
- No pricing on the vendor website; you're buying through a marketplace or blind outreach
- API-only delivery, no cloud storage options (GCS, AWS S3, Azure) like Coresignal offers
- Job posting coverage is thin: Coresignal lists 425M+ job postings vs Xverum's 10M+
- No self-serve access or free tier for the core dataset products
Raw datasets don't close deals - verified contact data does. While Xverum charges ~$900/mo for firmographic data with one public review, Prospeo gives you 300M+ profiles with 98% email accuracy and 125M+ verified mobiles at ~$0.01/email. No annual contracts, no sales calls, no blind commitments.
Skip the $12K/year gamble. Get verified contacts starting free.
What Users Actually Say
There's essentially one data point. Xverum has a single verified-buyer review on Datarade, rated 5/5 across data quality, volume, value, and support:
"We're getting the most accurate raw data with the best refresh rate within the industry."
The reviewer mentioned using employees, companies, and jobs datasets plus the API refresh service, and called the team "professional technical & customer-facing."
That's it. No Reddit threads. No community sentiment to cross-reference. For a vendor asking $1,000+/mo with annual commitments, this review scarcity is a material risk factor. We've seen teams commit to data vendors with thin track records and regret it six months later when support tickets go unanswered or data quality drifts quietly. If you move forward, negotiate a short initial term (and align on enterprise sales negotiations basics before you sign).
How Xverum Compares to Alternatives
When practitioners on Reddit discuss enriching millions of records, the names that come up are People Data Labs, Coresignal, and Crustdata. Xverum doesn't appear in those conversations yet.
| Feature | Xverum | Coresignal | People Data Labs | Prospeo |
|---|---|---|---|---|
| Primary use | Raw datasets | Raw datasets (analytics/ML) | Datasets + API | Verified contacts |
| Coverage | 42M+ companies | 75M+ companies | 70M+ companies | 300M+ professional profiles |
| Starting price | ~$900/mo | $49/mo API; ~$1,000/mo bulk | Free - $98/mo | Free; ~$0.01/email |
| Delivery | API (JSON/Parquet) | API + cloud storage | API | API + extension + CRM |
| Public reviews | 1 | Multiple | Multiple | 15,000+ companies |
| Free tier | No | 14-day trial | 100 lookups/mo | 75 emails + 100 extension credits/mo |
Coresignal and People Data Labs both offer lower entry points, more delivery flexibility, and significantly more social proof. At bulk volumes, though, Coresignal's pricing lands around $1,000/mo - the same ballpark as Xverum. The $49/mo starter tier isn't an apples-to-apples comparison.
Here's the thing: if your procurement team can't find more than one review for a $12,000+/year vendor, that's not a yellow flag. It's a red one. In our experience, vendors with this little social proof require a paid pilot period before any annual commitment. No exceptions (especially if you're trying to improve GTM efficiency).
Who Should Use Xverum
Use Xverum if you're a data engineering team building ML models or analytics pipelines that need pre-processed firmographic, POI, or professional profile datasets at scale. The daily refresh cycle and pre-processed delivery genuinely reduce data ops work, and if you've already evaluated Coresignal or People Data Labs and found gaps in their POI or location coverage, Xverum is worth a conversation.
Skip Xverum if you're a sales or marketing team that needs verified emails and direct dials. Skip it if you need self-serve access with transparent pricing. And skip it if committing $1,000+/mo to a vendor with one public review makes your procurement team nervous - because it should.
For outbound sales teams, the right tool category is verified contact data, not raw datasets. Prospeo delivers 98% email accuracy and 125M+ verified mobile numbers starting free, with a 7-day data refresh cycle that outpaces the 4-6 week industry average. Different product, different job to be done (see data enrichment tools and high-quality B2B data).
Xverum refreshes 600M+ attributes daily but has zero self-serve access and one review to show for it. Prospeo refreshes all 300M+ profiles every 7 days, offers a free tier with 75 emails/month, and is trusted by 15,000+ companies. That's not a coin flip - it's due diligence done for you.
Get 98% accurate emails without committing a dollar first.
FAQ
Does Xverum offer a free trial?
Xverum offers a free trial only for its SERP Data API (first 100K SERPs free). Core B2B dataset products - firmographic, POI, and professional profile data - don't have a free tier or self-serve trial. You'll need to contact sales through Datarade or reach out directly.
Is Xverum GDPR compliant?
Their marketplace profile indicates they use 100% public web data and position the offering with GDPR and CCPA compliance built in. Request a Data Processing Agreement before signing any contract - that's non-negotiable for EU-facing teams.
How does Xverum's data refresh compare to competitors?
Xverum claims 600M+ attributes updated daily, which is strong for raw dataset providers. Coresignal refreshes monthly, People Data Labs varies by tier, and Prospeo refreshes all records on a 7-day cycle. The right benchmark depends on whether you need raw datasets or verified contact data - they're fundamentally different products solving different problems.