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hapuppy.com

Free LLM quota · free models · community reputation · risk review

TypeCommercial aggregator
StatusUp
Platformnew-api
Reputation48 / 100
Risk level Med
Confidence40%
Discovered fromrouterpark

Overview

hapuppy.com (Hapuppy · One API Key for Every AI Model) is an English-facing paid commercial AI aggregation gateway built on one-api, offering an OpenAI-SDK-compatible API across 100+ models (Claude/GPT/Gemini/Grok/DeepSeek, etc.). New users get a one-time 200K credits on sign-up (no auto-refill), and it runs on top-ups (e.g., a $9.99 tier) plus never-expiring Vault credits.

Free quota

New users receive a one-time 200K credits on sign-up (no auto-refill once used); all users get 100 requests/minute; Vault top-up credits (e.g., the $9.99 tier) never expire. No standing daily free refill.

Free models

Unknown

Pros

Cons

Risk flags

Community reputation

Hapuppy's website is fairly complete (100+ models, OpenAI SDK compatibility, automatic caching, 200K sign-up credits, never-expiring Vault credits), but web searches found no independent reviews, discussion, or complaints on V2EX/Linux.do/NodeSeek/Reddit, and the operator is opaque. A blank reputation is itself a risk, so a below-average category-default score is given with reduced confidence.

Recommendation

You can use the 200K sign-up credits to try its OpenAI-SDK-compatible integration and multiple models at zero deposit; but given the blank independent reputation and opaque operation, never make large deposits or use it for production, assess privacy risk before sending sensitive data, and verify with complex tasks whether models are full-strength.

Latest probe

ReachableYes (HTTP 200)
Latency2266 ms
Platformnew-api
Models endpointauth required

Mentions (3)

站点首页 · neutral
宣称『One API Key for Every AI Model』,106+ 模型、OpenAI SDK 兼容、自动 prompt caching;免费用户注册送 200K credits(一次性、不续杯),所有用户 100 req/min,Vault 充值额度永不过期。
社区检索 (V2EX/Linux.do/NodeSeek/Reddit/GitHub) · neutral
针对 hapuppy.com 未找到任何独立第三方评测/讨论/投诉,仅有中转站品类通用风险提示(模型可能被替换、数据可能被记录转售、勿大额充值)。
社区品类风险提示 (V2EX/腾讯云社区) · negative
中转站通识:宣称满血模型可能被悄悄替换、Key 是否隔离、数据是否被三方变现需谨慎;建议先小额试用、勿大额预付。

Sources

Community discussion · reputation check

Want to verify hapuppy.com's real reputation before deciding? Read first-hand community discussion:

External discussion quality varies; judge together with the risk review on this page.

FAQ

Is hapuppy.com safe and trustworthy?

Overall reputation 48/100, risk level Med. Hapuppy's website is fairly complete (100+ models, OpenAI SDK compatibility, automatic caching, 200K sign-up credits, never-expiring Vault credits), but web searches found no independent reviews, discussion, or complaints on V2EX/Linux.do/NodeSeek/Reddit, and the operator is opaque. A blank reputation is itself a risk, so a below-average category-default score is given with reduced confidence.

Will hapuppy.com shut down? Is the service stable?

Known risks: Zero independent reputation online; cannot cross-verify model authenticity or service stability; Operator and company info are opaque; operating history and background unknown; 200K sign-up credits are one-time; long-term use requires top-up, with prepay-then-exit-scam risk; Third-party relay; aggregated models may be silently downgraded or substituted; Upstream official key sourcing is opaque; stolen/resold-key suspicion cannot be ruled out; No visible privacy policy or data-compliance statement; risk of forwarded sensitive data must be self-assessed. Free and relay/public-benef…

Which free models does hapuppy.com offer? How much free quota?

Free quota: New users receive a one-time 200K credits on sign-up (no auto-refill once used); all users get 100 requests/minute; Vault top-up credits (e.g., the $9.99 tier) never expire. No standing daily free refill.. Free models: unknown.

Is hapuppy.com worth using? How should I use it?

You can use the 200K sign-up credits to try its OpenAI-SDK-compatible integration and multiple models at zero deposit; but given the blank independent reputation and opaque operation, never make large deposits or use it for production, assess privacy risk before sending sensitive data, and verify with complex tasks whether models are full-strength.

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