I built this after spending way too long comparing agent fees on a spreadsheet before every haul. Three questions, one recommendation. The full comparison table is below if you want to verify the reasoning.
Scores 1–10 across five dimensions. No agent leads on all five — each has a different optimisation profile.
| Metric | CNFans | Kakobuy | ACBuy | Sugargoo | Superbuy | USFans |
|---|---|---|---|---|---|---|
| Service Fee | 0β1.5% | 0β3% | 0β5% | 0% | 5β10% | 0% |
| Price Markup | ~1.5% | ~1.5% | ~2% | ~1.5% | ~2.5% | ~0.5% |
| QC Photo Quality | β β β β | β β β β | β β β | β β β | β β β β β | β β β |
| English Interface | Good | Excellent | Good | Good | Good | Fair |
| Free Storage | 90 days | 60β90 days | 60β90 days | 90 days | 60 days | 60 days |
| EU Shipping Cost | β Low | Low | β Lowest | Low | Medium | Medium |
| Best For | All-round | Beginners | EU buyers | Large hauls | Luxury items | US buyers |
| Customer Service | Average | Fast | Good | Average | Good | Average |
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Browse Rep Picks at streetwearbuy.com βAgent comparison data should be understood as reflecting aggregate community experience rather than guaranteed individual outcomes. Two buyers using the same agent for the same item can have different experiences depending on warehouse staff, item condition, and timing factors outside the platform control. Use comparison data to establish probability-weighted expectations rather than definitive predictions.
The community consensus on agent performance shifts over time as platform quality evolves and new alternatives enter the market. An agent rated highly in community discussions from two years ago may have declined relative to newer competitors, while an agent with less historical documentation may have improved substantially. Checking the recency of your comparison sources is as important as checking their volume.
Accurate fee comparison between agents requires modelling total cost including item price, service fee percentage at your order value, domestic and international shipping, and any storage fees. The service fee alone is insufficient for comparison because agents with higher service fees may offer lower shipping rates or better QC services that produce superior total value. Model complete haul costs through the fee calculator for each agent being compared.
Agent comparison data should be understood as reflecting aggregate community experience rather than guaranteed individual outcomes. Two buyers using the same agent for the same item can have different experiences depending on warehouse staff, item condition, and timing factors outside the platform control. Use comparison data to establish probability-weighted expectations rather than definitive predictions about individual purchase outcomes.
The community consensus on agent performance shifts over time as platform quality evolves and new alternatives enter the market. An agent rated highly in community discussions from two years ago may have declined relative to newer competitors, while an agent with less historical documentation may have improved substantially. Checking the recency of your comparison sources is as important as checking their volume.
Accurate fee comparison between agents requires modelling total cost including item price, service fee at your order value, domestic and international shipping, and storage fees. The service fee alone is insufficient for comparison because agents with higher service fees may offer lower shipping rates or better QC services that produce superior total value. Model complete haul costs for each agent being compared.