Looking for an Xverum alternative?
Compare what you get, beyond the quote.
A lower quote is a real advantage, and we won't pretend otherwise. But the price of B2B data is only settled once you've used it: what it costs to clean, what it costs to refresh, and what it costs when a sales rep emails someone who left six months ago. We've been in the data business since 2011, and that's the part we built our dataset around.
Some teams come to us to replace Xverum while others run both side by side before they decide. Either way, here's what you get:
A fresh update file every hour, for every customer
We send updates every 60 minutes, whatever your plan. Pull them in hourly, weekly, or monthly. The speed is the same for everyone.
Any profile, checked on demand
Need one record current right now, without waiting for the next update? Our live scan API fetches the latest version of a public profile on request.
A team you can actually reach
Enterprise customers get a shared support channel with our data team, including our founders. Questions get answered in a thread by the people who built the dataset.
What you're actually paying for
Some comparison tables list MixRank without job postings data, or with numbers we outgrew years ago. Wherever you saw the comparison, here are our current numbers:
- people profiles, with history since 2013
- 1.20B+
- fields on every people record
- 250+
- companies tracked globally (40M+ active)
- 120M+
- job postings tracked, 24.5M+ open right now
- 1.8B+
Where a lower quote tends to cost more later.
Choosing the lower quote is a reasonable call. Most teams make it for good reasons, and it usually works fine for a while. The trouble tends to show up later, in one of these three places:
The cheaper quote won, and the cleanup became your job.
The dataset arrived on time, and then your engineers spent the next few sprints matching records, removing duplicates, and fixing fields before anyone could use it. That time never showed up on the invoice, but it came out of your roadmap.
Your users want jobs data that's current.
A job board, a recruiting tool, or a hiring-signal feature is only as good as the postings behind it. If a role closed last week, your users shouldn't still be applying to it.
One record has to be right, right now.
A big account, a key candidate, a deal that closes Friday. You can't wait for the next refresh cycle to find out whether that person still works there.
Where the savings actually show up
The cheapest data isn't the one with the lowest quote. It's the one your team spends the least time fixing. This is where that difference shows up:
Fewer quarters lost to cleanup.
One team came to us after spending a quarter wrestling with problems in the data they'd been testing. They wanted to see whether a different dataset would hold up better on the same work.
Freshness you can check yourself.
Every one of our people records shows when we last checked it and when we last fully refreshed it. You don't have to take our word on recency. Look at the dates in your own sample.
Fewer duplicates to clean up.
We map every profile URL we've seen for a person to one ID, and we flag profiles that look fake, inactive, or duplicated. Your engineers start with records they can use.
When Xverum is the smarter buy
For some teams Xverum is the better one. If any of these describes you, we'd tell you the same thing on a call.
What they do well
Location data at scale.
Xverum offers 320M place records worldwide. We don't sell that.
Job-change predictions out of the box.
Their Next Move Signal scores how likely someone is to change jobs, ready to use in sourcing and lead lists.
Pick Xverum if:
You need location data. Xverum offers 320M place records worldwide. We don't sell that.
You want job-change predictions out of the box. Their Next Move Signal scores how likely someone is to change jobs, ready to use in sourcing and lead lists.
You want plain-English search today. Ask Xverum lets your team or your AI agent describe who it's looking for and get ranked results, and you can start free.
The upfront price decides it. Xverum usually comes in lower on the first contract. If budget is the main constraint, that matters.
If none of these is your deciding factor, keep reading.
The number that isn't on the quote
Most teams comparing us with Xverum are pricing the contract. The better number to price is what it costs to keep your data usable for a year: how fresh it stays, how much of it your users can actually act on, and how much work your team does before anyone touches it.
An update file every 60 minutes for every customer, at no extra cost. Every People record shows when we last checked it and when we last fully refreshed it.
Data refreshed as fast as every 24 hours.
24.5M+ open right now, with 1.8B+ tracked since 2021.
9M active job postings, refreshed daily.
Our live scan API fetches the latest version of a public profile on request.
Plain-English search across their datasets, through an API or an MCP server.
People, companies, job postings, web technographics, mobile apps and SDKs, and developer data.
People, companies, job postings, and 320M place records, plus web search APIs.
API, bulk feeds with hourly update files, a hosted database, or delivery into Snowflake, BigQuery, or Redshift.
Datasets, API, or MCP.
When you compare quotes, ask each vendor for the price per record your team can actually use, after duplicates, dead profiles, and stale fields are removed. That's the number that shows up in your budget a year from now.
Put both quotes to work before you pick one
Run these on your own records before you sign anything, with us or anyone else. Each takes an afternoon.
The usable-record test
Pull the same 1,000 records from both datasets. Remove duplicates, dead profiles, and anything older than six months. Divide each quote by the records that are left. Now you're comparing the real price.
The freshness test
Ask each vendor for a truly random sample of the same size, and compare the last-updated dates.
The jobs test
Pick 50 companies you know are hiring. Check which dataset shows the roles that are open today, and which still shows roles that closed.
Bring us your Xverum sample.
Send us the specific fields where the two datasets disagree, and we'll tell you why, including the cases where we're the one who's wrong.