I spent $387 on reverse email lookup tools because the old buying logic is dead. If you need reverse email lookup for B2B work emails, NinjaPear Person Profile Endpoint is the best option I found. But that only makes sense if your job is actually B2B work-email enrichment. If you want OSINT, the answer changes. If you want a free one-off check, the answer changes again.
“So I was at a dinner with friends when one asked me for my email adress. When I gave it to him he typed it somewhere on his phone and in a matter of seconds he pulled up a PDF file where there was a list of all the accounts linked it.”
That is the category in one paragraph. Useful. Creepy. Easy to buy badly.
TL;DR
If you only remember one thing, remember this: buy for the job.
TL;DR summary comparison table
| Factor | Mailmeteor | Epieos | Icypeas | NinjaPear | Winner |
|---|---|---|---|---|---|
| Best use case | Free one-off checks | OSINT investigations | API-first legacy enrichment | B2B work-email enrichment | Depends on use case |
| Data freshness | ⭐⭐⭐☆☆ | ⭐⭐⭐⭐☆ | ⭐⭐⭐⭐☆ | ⭐⭐⭐⭐☆ | Tie: Icypeas / NinjaPear |
| Data richness | ⭐⭐☆☆☆ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐☆ | ⭐⭐⭐⭐☆ | Epieos |
| Pricing | ⭐⭐⭐⭐⭐ | ⭐⭐☆☆☆ | ⭐⭐⭐☆☆ | ⭐⭐⭐⭐☆ | Mailmeteor |
| Scalability | ⭐☆☆☆☆ | ⭐⭐☆☆☆ | ⭐⭐⭐⭐☆ | ⭐⭐⭐⭐⭐ | NinjaPear |
| Developer friendliness | ⭐☆☆☆☆ | ⭐⭐☆☆☆ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | Tie: Icypeas / NinjaPear |
| Stability | ⭐⭐⭐⭐☆ | ⭐⭐⭐☆☆ | ⭐⭐⭐⭐☆ | ⭐⭐⭐⭐☆ | Tie |
| Legal clarity | ⭐⭐⭐⭐☆ | ⭐☆☆☆☆ | ⭐⭐☆☆☆ | ⭐⭐⭐⭐⭐ | NinjaPear |
| Overall score | 3.00/5 | 3.00/5 | 3.71/5 | 4.29/5 | NinjaPear |
Quick verdict
Best free one-off check: Mailmeteor
If all you need is a quick reverse email lookup on a professional email, Mailmeteor is fine.
It is free. No sign-up. Browser-first. That is a valid use case.
Best for OSINT: Epieos
Epieos is built for investigators, not GTM teams.
Its pricing page offers an Osinter plan for €29.99/month, with all modules including LinkedIn and 30 full-access requests/month. That tells you what it is.
Best legacy API option: Icypeas
Icypeas gets points for publishing real math.
It states Reverse Email Lookup = 10 credits per found profile. Good. I can work with that.
Best for B2B work-email reverse email lookup: NinjaPear
If the job is reverse email lookup for a B2B work email, NinjaPear Person Profile Endpoint is the best option here.
The big reason is simple: it is built for professional identity resolution from public web data, and it explicitly does not scrape LinkedIn.
Why this guide exists
We already had reverse email lookup advice.
Parts of it are dead. So I am not going to pretend otherwise.
The line that matters is in Goodbye Proxycurl: “In January earlier this year (2025), LinkedIn filed a lawsuit against Proxycurl. Today, we are shutting Proxycurl down.”
That is not theory. That happened.
The same post says Proxycurl had grown to a ~$10M revenue business before shutdown. So if your reverse email lookup stack depends on LinkedIn-shaped data, that is not a small implementation detail anymore.
It is risk.
What changed in 2026
The old way to buy reverse email lookup tools was mostly this:
- coverage
- price
- maybe API quality
That is not enough now.
The extra question is legal clarity. If the vendor does not explain where the answer comes from, or if it openly leans on LinkedIn modules, that matters.
A lot.
The comparison table that matters
Reverse email lookup scorecard
| Tool | Data Freshness | Data Richness | Scalability | Pricing | Dev Friendliness | Stability | Legal Clarity | Avg Score |
|---|---|---|---|---|---|---|---|---|
| Mailmeteor | ⭐⭐⭐☆☆ | ⭐⭐☆☆☆ | ⭐☆☆☆☆ | ⭐⭐⭐⭐⭐ | ⭐☆☆☆☆ | ⭐⭐⭐⭐☆ | ⭐⭐⭐⭐☆ | 3.00/5 |
| Epieos | ⭐⭐⭐⭐☆ | ⭐⭐⭐⭐⭐ | ⭐⭐☆☆☆ | ⭐⭐☆☆☆ | ⭐⭐☆☆☆ | ⭐⭐⭐☆☆ | ⭐☆☆☆☆ | 3.00/5 |
| Icypeas | ⭐⭐⭐⭐☆ | ⭐⭐⭐⭐☆ | ⭐⭐⭐⭐☆ | ⭐⭐⭐☆☆ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐☆ | ⭐⭐☆☆☆ | 3.71/5 |
| NinjaPear | ⭐⭐⭐⭐☆ | ⭐⭐⭐⭐☆ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐☆ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐☆ | ⭐⭐⭐⭐⭐ | 4.29/5 |
These scores are based on public pricing, public product positioning, published examples, and how clear each vendor is about what the product actually is.
What breaks first when you scale
| Tool | What breaks first | Why it matters |
|---|---|---|
| Mailmeteor | Workflow depth | Great widget, not a system. |
| Epieos | Request caps, ops fit, and LinkedIn risk | 30 full-access requests/month tells you exactly what this is. |
| Icypeas | Credit burn and compliance diligence | 10 credits per found profile adds up fast if your team is sloppy. |
| NinjaPear | Narrower fit outside B2B work emails | Wrong fit for consumer lookups and personal emails. |
What I tested
I am not going to fake a benchmark I did not run end to end. That would make this worse.
So here is the honest version. I checked the public claims, pricing pages, examples, and workflow surfaces. I also built the evaluation harness I would use before buying.
Test set I would use
If I were running the benchmark tomorrow, I would use:
- 8 executive or founder emails
- 8 mid-level operator emails
- 4 ugly edge cases
All from public pages. Team pages. Press pages. Conference pages. Public leadership pages.
What I would measure
For each reverse email lookup tool:
- Found profile
- Company match
- Role match
- Profile depth
- Response time
- Workflow friction
That last one matters more than people admit. A demo is not a system.
The 2026 filter most posts skip
For each vendor, I would put them in one of three buckets:
- Explicitly LinkedIn-free
- Publicly references LinkedIn modules or scraping
- Unclear, ask vendor directly
That one line saves time.
Mailmeteor review
What it gets right
Mailmeteor keeps it simple.
It is free, no sign-up required, and aimed at professional email addresses. For one-off checks, that is enough.
Where it falls apart
A free widget is not a process.
There is no real API story on that page. No workflow story either. If your team starts using it like infrastructure, you are papering over the problem.
Verdict: good free check, not a system.
Epieos review
Why investigators like it
Epieos is honest enough to show its DNA.
The Osinter plan is €29.99/month, includes all modules including LinkedIn, and gives you 30 full-access requests/month. It also spans modules like GitHub, Notion, Trello, Gravatar, Fitbit, Strava, Dropbox, Facebook, and more.
That is useful for investigations.
Why I would not build GTM workflows on it
The cap says it all.
30 full-access requests/month is not inbound routing. Not support ops. Not PLG enrichment. Wrong job.
The caveat in plain English
Epieos explicitly says “all modules including LinkedIn.” So I do not need to guess.
In 2026, if LinkedIn-connected data is in the stack, I would not wave that off.
“Keep in mind to verify the results as services generally tend to produce fake-positives.”
That is the right frame for OSINT tools in general.
Icypeas review
Why the pricing page is better than most
Icypeas publishes real numbers.
Its pricing page shows plans starting at $19 for 1,000 credits, $39 for 4,000, $89 for 10,000, and $499 for 100,000. It also lists credit costs, including:
- Email Finder: 1 credit
- Email Verifier: 0.1 credit
- Profile Scraper: 1.5 credits
- Reverse Email Lookup: 10 credits per found profile
That earns points from me.
Why it can get expensive
The trap is obvious once you do the math.
- $19 / 1,000 credits = 100 reverse lookups
- $39 / 4,000 credits = 400 reverse lookups
- $89 / 10,000 credits = 1,000 reverse lookups
- $499 / 100,000 credits = 10,000 reverse lookups
That is fine if you use it carefully. It is not fine if your team treats reverse lookup like a reflex.
The question I would ask directly
Icypeas also mentions things like Sales Navigator scraped leads/day on its pricing page.
I am not going to overstate what that means for this endpoint. But I would ask this exact question:
Do you rely on LinkedIn data anywhere in the resolution path for this reverse email lookup endpoint?
If the answer is fuzzy, that tells you something.
NinjaPear review
Why work-email reverse lookup is really identity resolution
This is the main point.
If the input is a work email, the job is not vague search. The job is to resolve that email into a professional identity you can actually use.
That is not the same market as consumer people-search.
What NinjaPear returns
NinjaPear Person Profile Endpoint takes a work email, name + company, or role + company and returns a structured profile.
The published Patrick Collison example includes:
- full name
- bio
- country and city
- X handle and X profile URL
- personal website
- work experience
- education
- profile picture from public X, when available
It also published benchmark numbers:
- Work email: 10/10 profiles found, 100% accuracy
- Name + company: 9/10, 90%
- Role + company: 7/10, 70%
- Uncached p50 latency: 23.1s
- Uncached p95 latency: 31.1s
Those are useful numbers.
Why LinkedIn-free matters more now
NinjaPear says this plainly: it does not scrape professional social media platforms.
That matters more to me now than a little extra theoretical coverage from a vendor with messy risk around the edges.
I would rather take narrower and cleaner.
Who should use it
Use NinjaPear if:
- you are resolving B2B work emails
- you need API-first enrichment
- you care about legal clarity
- you want reverse lookup to feed a broader company workflow
Do not use it if:
- you want consumer people-search
- your main use case is personal Gmail or Yahoo lookups
- you want OSINT entertainment more than B2B data
Reverse email lookup is not one market
OSINT identity lookup
This is Epieos territory.
Broad. Investigative. Often noisy.
B2B work-email enrichment
This is NinjaPear territory.
Take a work email. Resolve the person. Feed that into account workflows.
Personal-email or background-check lookup
Different market. Different expectations. Usually not what a serious B2B buyer actually needs.
Why people think every tool sucks
Because they buy the wrong category.
That is most of the disappointment.
“No single user has the same username on all platforms/web sites. You are always going to get false positives, unless you can pair other identifying facts with your query.”
That is a username example, but the lesson carries. Category mismatch and weak validation create bad data.
The legal and pricing traps
Public profile does not automatically mean safe for commercial use
Again, the Proxycurl shutdown is the receipt.
LinkedIn sued in January 2025. Proxycurl shut down in July 2025.
That happened.
If the product depends on LinkedIn, legal should care
Your SDRs care about coverage.
Your legal team cares about provenance and blast radius.
That second question is boring right up until it is not.
Real cost by scenario
Scenario 1: 100 support lookups per month
| Tool | Public pricing basis | Estimated monthly cost | Notes |
|---|---|---|---|
| Mailmeteor | Free tool | $0 | Fine at low volume |
| Epieos | €29.99/month for 30 full requests | Not enough capacity | You will hit the cap |
| Icypeas | 10 credits per found profile | $19 if 100 hits fit in 1,000 credits | Assumes successful finds |
| NinjaPear | Usage-based credits, no monthly minimum publicly stated on main site | Depends on credit plan | Better if this becomes workflow |
Scenario 2: 500 SDR or PLG enrichments per month
| Tool | Public pricing basis | Estimated monthly cost | Notes |
|---|---|---|---|
| Mailmeteor | Free browser tool | Operationally wrong fit | Manual pain |
| Epieos | 30 full requests/month | Not viable | Wrong category |
| Icypeas | 10 credits per found profile | $89 covers 1,000 lookup credits | Real option |
| NinjaPear | API-first, usage-based | Depends on plan mix | Better system fit |
Scenario 3: 2,000 batch enrichments per month
| Tool | Public pricing basis | Estimated monthly cost | Notes |
|---|---|---|---|
| Mailmeteor | Free browser tool | No | Do not do this |
| Epieos | 30 full requests/month | No | Also no |
| Icypeas | 10 credits per found profile | $89 is short, $499 covers 10,000 reverse lookup credits | Watch credit burn |
| NinjaPear | Usage-based B2B data platform | Depends on credits used across person + company workflow | Strongest strategic fit |
Volume exposes bad choices fast.
My hot takes
Most reverse email lookup tools are optimized for demos, not systems
A search box and result card is not a workflow.
If your vendor touches LinkedIn data, do not call that a small detail
That stopped being a small detail the moment Proxycurl died.
Most sales teams do not need a generic reverse email lookup tool
They need a LinkedIn-free person and company enrichment workflow for work emails.
Free widgets are fine for curiosity
They are bad for process.
Where NinjaPear fits
Not as a generic people-search toy
This matters.
NinjaPear is not for random private-citizen lookup from a Gmail address.
As the next step after identifying a B2B contact
Once you resolve the person, the next useful questions are usually about the company.
That is where the wider workflow matters:
- Company Details for company enrichment
- Employee Count for size context
- Customer Listing for account mapping
- Monitor API for change signals
Example workflow
- Unknown work email hits your inbox.
- Resolve it with NinjaPear Person Profile Endpoint.
- Enrich the employer with Company Details and Employee Count.
- Run Customer Listing if the account matters.
- Add the company to Monitor API so your AE sees changes before the next call.
That is a system.
Final verdict
My ranked list
- Best free one-off: Mailmeteor
- Best for OSINT: Epieos
- Best pricing transparency among legacy enrichment tools: Icypeas
- Best for B2B work-email reverse lookup: NinjaPear
The one I would spend on
If the use case is B2B work-email reverse lookup, I would spend on NinjaPear.
It solves the right problem and avoids the wrong risk.
One-line verdicts
- Mailmeteor: Good free check, not a system.
- Epieos: A sharp OSINT knife, not a revenue engine.
- Icypeas: Refreshingly clear pricing, but ask harder compliance questions.
- NinjaPear: The only option here I’d actually wire into a serious B2B workflow.
What we said then, what changed, what now
| Then | Why it changed | Now |
|---|---|---|
| Proxycurl was a strong reverse email lookup recommendation for pro workflows | Proxycurl shut down after LinkedIn filed suit in 2025 | Stop treating LinkedIn dependency as a footnote |
| Match rate and coverage were the main buying criteria | Legal clarity now matters just as much as capability | Add legal posture to every vendor scorecard |
| Reverse email lookup was treated like one market | It is at least three markets: OSINT, B2B work-email enrichment, and people-search | Buy for your actual category |
| More data felt automatically better | More data with the wrong substrate can become expensive bullshit | Favor fit, provenance, and operational usefulness |
Download the Buyer Kit
Use the same vendor scorecard, cost calculator, compliance checklist, and benchmark harness I used to think through this market.
Download now →
If you are evaluating a reverse email lookup vendor this quarter, do three things:
- Build a scorecard.
- Ask where the data comes from.
- Model cost at 100, 500, and 2,000 lookups.
And if your use case is specifically B2B work-email reverse lookup, start with NinjaPear's Person Profile Endpoint, then map the workflow into Company Details, Employee Count, Customer Listing, and Monitor API.