Nothing here is a hit piece. Tavel has customers who are well served by it, and this page says which ones. It also says where we think the model costs a buyer money.
What we can and cannot tell you about Tavel
The company behind the name sits at tavel.in.
A price is missing here on purpose. We have not captured a sourced rate for Tavel recently enough to publish one, and a stale number in this market is a wrong number.
Look for the tier you would actually land in, not the one at the bottom of the table, and find the expiry and failed-request clauses before the rate impresses you.
The domain record
The domain was registered on 8 September 2009, through NAMECHEAP, which makes it about 17 years old. Those dates come from a registry query on 9 September 2026. Their registration is booked through 8 September 2029.
Read that as a floor rather than a recommendation. Longevity says somebody has kept paying the registrar, and in a market with this much churn that is worth ten seconds of your attention.
The demand around this name
The Keyword Planner puts brand demand at 10 a month: 10 a month for a review of them. Figures read from Google Keyword Planner on 9 September 2026.
Weighted towards people checking whether to trust it. A comparison that ignores that and opens with a pitch has misread the room.
What the advertised numbers cannot tell you
Who else is using your address
A shared address arrives with a history you did not create and cannot see. For read-only work it rarely matters. For anything that keeps a session, it is the most common cause of unexplained failure.
The line item hidden in the success rate
Some vendors bill every request, some bill only successful ones, and the difference is the whole comparison once a target starts blocking. A cheap rate with a fifty percent success rate is twice its advertised price.
What actually caps your throughput
Rate limits are often enforced per account rather than per plan, which means buying more traffic does not raise them. Confirm how yours scales before you assume a bigger plan runs faster.
What separates them, in a table
The rows below are the ones that change what you pay and whether the job runs:
| Question to ask | Tavel | HProxy |
|---|---|---|
| Entry price | Not verified by us, read their page | From $0.44/GB, pay as you go |
| Does unused balance expire? | Worth confirming in writing before you commit | Never |
| Minimum commitment | Their terms page answers this | None |
| Identity checks | Check the current terms, this one moves | Card orders are screened, and verification is sometimes requested |
| Targeting | Their terms page answers this | Country, city and ISP |
| Free way to evaluate | Check the current terms, this one moves | Free proxy list and proxy checker |
That comparison covers what is publishable. What is not publishable, and what actually decides this, is how many of your requests come back correct.
How to settle it yourself in ten minutes
Run this before you commit any volume. It replaces every opinion on this page, including ours.
- Buy the minimum each side offers. Prefer a small paid batch over a trial, because trial traffic does not always ride the same pool.
- Send an identical workload through each: same target, same tooling, same time of day, same request mix.
- Measure what came back correctly and what it consumed, then divide the spend by the successes.
- Push a sample of exit addresses through an independent checker and confirm the country and connection type are what was advertised.
- Take the winner and set a reminder to run this again, since a result has a shelf life of about a quarter.
Others in this market
Nearest alternatives by product shape rather than by who pays us, since nobody does:
- GlobalByte alternatives
- Globalproxies alternatives
- Glorycloud alternatives
- Gologin alternatives
- GonzoProxy alternatives
- Goproxy alternatives
The competing offer, for completeness
We are the pay as you go option in this market. Residential from $0.44 per GB, ISP and datacenter per address, mobile alongside them, all from one balance with nothing to forfeit. That model wins on irregular volume and loses on very large steady volume, which is worth knowing before you test.
