ZBD provides a payments infrastructure platform designed for game developers, handling in-game payment processing so teams can focus on gameplay development.
Each model independently rates ZBD on a 1–5 star scale.
ZBD is a Bitcoin Lightning-based payments platform for gaming. It has gained traction in the gaming/crypto niche with notable partnerships, but operates in a relatively new and lightly regulated space.
ZBD is a gaming payments infrastructure provider with limited public information. Scores are neutral due to lack of detailed reputation, regulation, or user feedback data.
ZBD offers a payment infrastructure for game developers, focusing on in-game payment processing. Information on trust, regulation, trading, support, and reputation is limited, leading to a neutral assessment across all categories.
ZBD (ex‑ZEBEDEE) offers Lightning-based payments for games with mature SDKs and live apps. VC-backed, no major controversies. As a non‑bank, regulatory credentials are modest; its custodial Lightning model adds risk. Reviews are generally positive but niche, data limited.
ZBD (zbd.gg) is a payments infrastructure provider for game developers. Limited public information available on its history, licensing, performance or user sentiment.
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ZBD is rated 2.7 out of 5 (“Poor”) on TrustRating, based on 5 independent AI model assessments. The TrustScore combines real customer reviews with AI models that independently assess trust, regulation, support and reputation signals. Always do your own research before making a purchase or investment.
TrustRating doesn't issue scam verdicts — we publish the data instead: ZBD scores 2.7 out of 5 (“Poor”) based on 5 independent AI model assessments. Every review passes TrustGuard, our fraud-screening system that blocks fake and paid reviews, so the score reflects genuine customer experience. Read the most recent reviews below before you decide.
ZBD currently has a TrustScore of 2.7 out of 5 (“Poor”). The score blends verified customer reviews with assessments from multiple independent AI models, and it updates automatically as new reviews and scans come in. You can read exactly how scores are computed on our methodology page.
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