Looking for a Coresignal alternative?
Start here.
Ask any data provider how many people profiles they re-check each month. Ours is roughly 150M with new titles, new companies, and moves no one has announced yet. If a vendor can't give you that number, ask why.
Some buyers come to us to replace Coresignal. Others keep it and use us to fill the fields it leaves empty. Either way, here's what you get:
New and changed records every hour, on every plan
We send an update file every 60 minutes. Pull it in hourly, weekly, or monthly. The speed is the same for everyone, and re-reading a record you already have costs nothing.
Records that tell you when we last checked them
Every people record shows the date we last checked it, so you can see how old a field is before you trust it.
A side-by-side test before you switch anything
Already on Coresignal? Our mapping tables link every profile URL we've seen to one ID. Line your records up against ours, and you'll see where the gaps are.
Our numbers, minus the adjectives.
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 back to 2013
- 1.2B+
- people-profile updates every month
- ~150M
- companies going back to 2013
- 120M+
- job postings, with history back to 2021
- 1.8B+
When teams like yours decide to bring MixRank in.
We once ran the emails of everyone claiming to work at a Fortune 500 chipmaker through validation. For 37 of them, the address had stopped working, but their profiles still said they worked there. That kind of gap is what sends teams our way, usually in one of these situations.
You need a second source.
Your current provider covers most of what you need, but a handful of fields keep coming back empty. You want something that fills those gaps and leaves the rest of your setup alone.
Your data has to stay current without a project every month.
Your product's people database or search index needs fresh records on a schedule. With an update file every hour, keeping it current is a pipeline job that runs on its own.
Your product needs to know who changed jobs.
A sales tool that emails someone at their old company looks broken to the person using it. Every change we pick up reaches your feed within the hour.
Need more proof? Here's what teams tell us after running both.
Most of our Coresignal conversations start the same way. Someone's already a customer, they've hit a wall, and they want to see what a second dataset turns up. Here's what they usually find.
Fewer empty fields.
A Coresignal customer came to us earlier this year for one reason: fields that kept coming back blank. One of the largest enrichment platforms on the market went further and moved its whole account over. We also keep the history: job postings back to 2021, and people data back to 2013.
One person, one ID.
The same person turns up under an old profile URL, a new one, and a duplicate someone made years ago. We link every URL we've seen for a person to one ID, so your counts stop quietly inflating.
Where Coresignal is the right call.
Coresignal was founded in 2016, and this year it moved its company, employee, and jobs data to daily delivery. It's a serious provider, and for some teams it's the better choice. We'd rather tell you that now than have you find out six months into a contract with us.
What they do well
One record per entity.
They merge public data from multiple sources into one record per company, person, and job posting.
Built for AI agents.
You get an MCP server, a search API you can query in plain English, and a free trial. An engineer can start querying the same afternoon they sign up.
Pick Coresignal if:
You want to start small. Sign up, spend a few thousand credits on a list, and pay for what you pull.
You're wiring data straight into an agent. If your engineers want to query through MCP without building a connector, that's ready today.
You need natural-language search right now. That's live on their side today.
Price per record is the deciding factor. Our reps will tell you straight: we usually cost more, and we think the data shows why.
If neither sounds like you, that's ok.
The question worth asking any data vendor (that also decides your bill)
Most teams we talk to aren't enriching a list once. They're keeping a search index or a product's people database current, week after week. So the question that matters is simple: how do you know how fresh each record is?
An update file every 60 minutes, on every plan. Every people record shows when we last checked it.
Daily delivery available across company, employee, and jobs datasets.
People data back to 2013, companies back to 2013, job postings back to 2021.
Company and employee data back to 2016, job postings back to 2020.
Every person and company gets a stable ID, with a mapping table of every profile URL we've seen for them. Profiles that look fake, inactive, or duplicated are flagged.
Records from multiple sources merged into one per company, person, and job posting.
API, bulk feeds with hourly update files, a hosted database, or delivery into Snowflake, BigQuery, or Redshift.
API, bulk datasets, a self-service platform with exports, and an MCP server.
A sample on your own records before you sign, from a data team you can reach directly.
Self-service sign-up with a free trial of 2,000 credits.
Whichever vendor you're evaluating, ask them to show you when each record was last checked. If they can't, that tells you something.
Test it on your own records.
A spec sheet tells you some of it. An afternoon with your own records tells you more. Run these two before you sign anything, with us or anyone else. Our data team will set up the sample and walk through the results with you.
The coverage test
Pick 50 companies you know well. Ask each vendor to show you everything it has on them: people, jobs, company details. See whose list comes back fuller.
The side-by-side test
Send us your Coresignal records and we'll map them to our IDs. For the same people, check whose current title and company match what you know, and where each dataset has a field the other doesn't.
Already comparing MixRank vs. Coresignal side by side?
Side by side and field by field, we'll walk you through it. 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.