LoloBuy
Took 27 of the 55 sampled cells, almost all of them at the light end. Free storage runs 180 days.
- +7.0% all-in markup
- $0 service fee
- 180 days free storage
The agents we list, and the one reason each is here
Eleven agents. Every entry earns its place from the sampled data, not from its own marketing. No ranking, because the data does not support one.
One picture of why there is no number one
Eleven destinations down the side, five parcel weights across. Each square shows whichever agent quoted the cheapest line for that combination.
Eight names across 55 cells, and every one of the eleven countries changes its answer somewhere between 250g and 5kg. One agent holds about half the grid and still loses the heavy end in Germany, the United States, Canada, Spain, Poland and the United Kingdom.
So the list below is not ordered by quality. It is ordered by how many cells each agent took, which is a fact about the sample rather than a verdict about the company.
Side by side, with the date attached
| Agent | All-in markup | Service fee | Free storage | Cells won in the grid |
|---|---|---|---|---|
| LoloBuy | +7.0% | $0 | 180 days | 27 |
| Sugargoo | +0.4% | $0 | 100 days | 9 |
| ZentBuy | +11.1% | $0 | 90 days | 5 |
| GoatedBuy | not stated | not stated | not stated | 4 |
| RizzitGO | +13.1% | $0 | not stated | 3 |
| Fansbuy | +1.3% | $0 | 90 days | 3 |
| USFans site down 10-08 | +11.7% | $0 | 90 days | 2 |
| Superbuy | +8.6% | $0 | 90 days | 2 |
| LoongBuy | +2.0% | $0 | 90 days | none |
| CSSBuy | +6.4% | 6% | 90 days | none |
| HUBBUY moved domain | +7.1% | $0 | 300 days | none |
Two entries carry a flag. One agent returned HTTP 503 across its whole site when we checked on 2026-10-08, and another moved to a new domain on 2026-10-01 after shutting its old platform. Both still appear in fee tables sampled days earlier, which is the clearest argument we can offer for reading the date on any comparison.
Three agents in this list have blanks. GoatedBuy, RizzitGO and Fsbuy appear in the route tables but the fee table only gives partial columns for them. We leave the gaps as gaps rather than filling them with an estimate.
If you want this, look at these
Pick the sentence that matches your situation. None of them ends in a rank.
You are shipping something light to Europe
- LoloBuycheapest in 250g and 500g for nine of eleven destinations
- GoatedBuytook the Netherlands at 250g, 1kg and 2kg
Light parcels are where one agent dominates, so this is the easiest case in the whole grid.
You are shipping something heavy, over two kilos
- Sugargoonine cells, almost all at the heavy end
- USFanscheapest for 2kg and 5kg to Germany, but see the warning below
- Fansbuytook 5kg to the UK, Belgium and Saudi Arabia
The light weight winner loses here more often than not. If you only check one thing before paying, check it at your actual weight.
You care more about arrival date than price
- Read the days column firstthen compare price among what is left
In 14 of 55 cells the cheapest line needs thirty days or more. The worst case in the sample is 129 to 139 days for 5kg to Spain. Sorting by price and taking the top row is how people end up on a boat.
You want the fee structure to be legible
- CSSBuyvisible 6% service fee, exchange markup only +0.4%
- LoongBuy+2.0% all-in on the last sample, no service fee
Most agents charge no service fee and take the margin on the exchange rate instead. CSSBuy is the one that does it the other way round, which makes it easier to audit even when it is not the cheapest.
You expect to leave things in the warehouse a while
- HUBBUY300 days free storage, the longest here
- LoloBuy180 days
- Sugargoo100 days
Check the ceiling as well as the free period. One agent publishes a 90 day standard and a 180 day hard limit after which goods are treated as abandoned, and only the first number appears in comparison tables.
Agent by agent
One reason each, drawn from the sample. Screenshots taken 2026-10-08.
Sugargoo
Lowest all-in markup in the sampled table. Worth reading twice, because most of the nine cells it won are rail and sea lines quoting 55 to 75 days.
- +0.4% all-in markup
- $0 service fee
- 100 days free storage
ZentBuy
Cheapest to the United States at 500g and 1kg, and to Belgium at three weights. Its return terms are unusually specific about the clock.
- +11.1% all-in markup
- $0 service fee
- 90 days free storage
Fansbuy
Second lowest all-in markup, and the most specific compensation terms of any agent we read: a per parcel cap, a claim window, an evidence rule and a written exclusion list.
- +1.3% all-in markup
- $0 service fee
- 90 days free storage
CSSBuy
The only agent here that charges a visible service fee, 6%, while marking the exchange rate up by just +0.4%. Everyone else does the opposite, which makes this one easier to audit.
- +6.4% all-in markup
- 6% service fee
- 90 days free storage
Not reachable when we last checked on 2026-10-08 (HTTP 403).
Open CSSBuyAgent site
LoongBuy
Third lowest all-in markup at +2.0%, down from +8.9% in a July sample. It wins none of the 55 freight cells, so it competes on the fee column rather than on any particular route.
- +2.0% all-in markup
- $0 service fee
- 90 days free storage
Superbuy
Cheapest for 250g to France and 5kg to Spain. That second one is a surface line quoting 129 to 139 days, which is worth knowing before you pick it.
- +8.6% all-in markup
- $0 service fee
- 90 days free storage
HUBBUY
Longest free storage in this list at 300 days. A July sample had it at a negative markup; the October one has it at +7.1%.
- +7.1% all-in markup
- $0 service fee
- 300 days free storage
Also in the grid, without a card
GoatedBuy
Cheapest to the Netherlands at three of the five weights. The fee table only fills in its exchange markup column, so the rest is left blank here.
RizzitGO
Cheapest for 2kg to the United Kingdom, 5kg to Poland and 1kg to Saudi Arabia. Its free storage column is empty in the source table.
USFans
Cheapest for 2kg and 5kg to Germany in the 2026-10-07 sample. Its whole site returned HTTP 503 when we checked on 2026-10-08, so we are not pointing readers at it.
These are snapshot numbers, not live rates. The date shown is when the figure was sampled, not when this page was built.