Our first published annual transparency report. Verifications processed, response times, uptime, refunds issued, fraud caught — the operational reality behind 12 months of JP Sheet.
Anyone can claim to be trusted. We'd rather show our numbers — what we shipped, what went wrong, what we refunded, what we caught. Every figure below comes from our actual records. We'll publish a similar report every May, covering the prior calendar year.
Our verification service grew throughout 2025. The returning-customer figure is the metric we watch most closely — it tells us how often buyers find us valuable enough to come back for the next purchase.
Every service-affecting incident — defined as any disruption to a paid service lasting more than 5 minutes — is logged on our Status page and resolved openly. We don't hide outages; we explain them.
We track refunds in two separate categories, because they mean different things:
Of these 45 issue refunds, 6 were for delivery errors we corrected at no further cost to the customer. The remaining 39 were resolved as goodwill or service-issue resolution — covering things like accidental double-charges, late deliveries beyond our SLA, or genuine customer-experience problems where we chose to refund even if not contractually obliged.
Our $35 Manual Search service includes a guarantee: if our researchers cannot locate the auction record, we refund in full. In 2025 we honoured this on roughly ~121 orders — about 9% of manual searches. We track these separately because they are not problems — they are the policy working exactly as promised. The other 91% of manual searches found the record successfully.
A counterintuitive fact about refund rates: low rates only build trust when they're verifiable. "We rarely refund" without numbers means nothing. "0.40% issue refund rate on 11,162 orders, plus an additional ~121 guarantee refunds honoured" — that's the actual signal.
Our anti-fraud monitoring (see Anti-Fraud Policy) blocked roughly ~145 attempts in 2025 — stolen-card payments, bot scraping, sequential chassis harvesting, and re-sale attempts. Each blocked attempt protects legitimate buyers and keeps our prices low.
Buyers from around the world used JP Sheet in 2025. Our top 8 buyer countries by order volume:
Beyond the top 8, we served buyers in dozens of other countries — anywhere Japanese cars are imported or sold. The full geographic breakdown is available on request for journalists, researchers and academic use.
"Support contacts handled" includes WhatsApp, email, and the AI chatbot's escalations. Pure chatbot conversations (resolved without human escalation) are counted separately — typically several times this volume — and not included here.
We commit to resolving every data rights request (GDPR/CCPA/UAE PDPL) within 30 days, free of charge. See our Data Rights page for details.
For law enforcement requests, we follow our published process — valid legal process only, scope down to what is requested, notify the customer unless prohibited. Details on our Anti-Fraud Policy.
Honest list — the gaps we noticed in 2025 and are working on this year:
Our published reviews page aggregates from Google Business, Trustpilot, and Facebook — all independently verifiable. We deliberately don't display every internal kind word we receive; only what's verifiable on a third-party platform.
All figures come from JP Sheet's internal records — primarily our order database, payment processor records (Stripe + PayPal), and uptime monitoring. Where exact figures aren't available, we use approximations and label them as such with a "~" prefix.
This report is not independently audited. It is published in good faith and reflects our internal records as of the date shown. If you spot anything that looks wrong, please email [email protected] with subject "Transparency Report Question" and we will investigate and correct.
We treat every transparency-report question as a priority. If something here looks off, tell us — we'd rather fix it than defend it.
Email [email protected]Related: Trust Centre · System Status · Changelog · Data Sources