One API key to 300+ models, hosted in the EU. Drop-in compatible with the OpenAI, Anthropic, and Google SDKs: switching is a base URL change. What's different: ~half our 30+ providers run inference in Europe, one EU sub-processor covers every model, no prompts stored by default. Add the control plane for routing, PII masking, per-team spend caps, and audit trails. Agent-native: paste one line into Claude Code or Cursor and it sets up Opper for you. No markup on tokens, 3% fee on credit top-ups.
Hey Product Hunt! Felix here, one of the founding members of Opper.
We're launching Opper, Europe's answer to OpenRouter: one API key to 300+ models across 30+ inference providers.
One integration to find the right model for any task, run it, and switch the moment something better ships. OpenAI, Anthropic, Google, Meta, xAI, Mistral, DeepSeek, plus the leading open-weight labs.
The reason we built it: there is no single best model. The lead changes every week, and wiring up a new provider every time it changes means new contracts, new SDKs, new billing. With Opper that's one integration, no new contract per model or provider.
Being European isn't just where we're incorporated, it's the product. Around half of our 30+ providers run inference in Europe, including sovereign hosts like Evroc, Berget, Geodd, and many more.
EU data residency, audit trails, and PII controls are built in, not bolted on. If you've ever needed the best models AND a straight answer on where your data runs, that's us.
On the control side: per-team spend caps and full cost visibility. Think Stripe for AI spend.
Where we are today: 50,000+ developers, powering AI for 10M+ end users, €3M raised from the investors behind Lovable.
You might already know us without knowing the name: we're the team behind the viral Car Wash Test, where we asked 53 models whether to walk or drive 50 meters to a car wash and only 5 said drive: opper.ai/blog/car-wash-test
That's now a thing you can do yourself with AI Roundtable: put any question to 200+ models and watch them answer and debate at askroundtable.ai.
I'll be in the comments all day. Would love to hear what would make you switch gateways, or what's kept you from using one at all.
I have been using Opper for over a year, and this is my goto supplier of models. The team is super friendly and very attentive to changing market conditions and needs.
Hey Felix, congrats on the launch! How do you handle the case where a customer's routing logic picks a cheaper model that's actually worse for their specific task? Is there danger that people over-optimize for cost and regret it?
Switched two prototypes over in under five minutes, just swapped the base URL and it worked. Really appreciate the no markup on tokens, makes it way easier to forecast costs.
Been beta testing Opper.ai for a good month now. Works great! Question: I read that OpenRouter has some P2P providers now. via akash.network etc. Soon they will also add suport for HW enclaves in the H100 on akash, which means Soverginity becomes absolute anything your could see on the opper roadmap in the future? Think true E2E soverginity. Zero escape hatches for data to leak etc.
Congrats on the launch @felix94123 — the single-EU-sub-processor + drop-in SDK combo is a genuinely sharp wedge against OpenRouter for anyone stuck in a procurement conversation. 👌
Two things I'd love to understand as someone building agents on top of gateways:
When an agent is mid tool-call loop and a provider errors, how does the fallback behave across providers whose function-calling and streaming semantics differ? Does the tool-call schema get normalized so the loop survives an Anthropic→Azure hop, or can a partial streamed response get lost on the switch?
And beyond the one-line Claude Code setup — is model selection programmable per task (route by task metadata / an MCP tool the agent calls), or always an explicit model + fallback list you configure up front? Curious if there's any automatic quality-aware routing vs. cost-only.
Congrats on the launch!
Felix nailed the "lead changing every week" problem. I’ve been using Opper for agentic coding workflows, and being able to route different subagents to different models from one account has been a real time-saver.
Worth checking out if you’re building with multi-agent workflows.
I like that you’re not just aggregating models but also adding things like PII masking, audit trails, and routing into the same gateway. Was the decision to keep prompts unstored by default mainly driven by privacy requirements in Europe, or did customer feedback push you in that direction?
the single EU sub-processor covering everything is the detail that actually matters for GDPR compliance. most AI gateway solutions technically run in Europe but still have US-based sub-processors in the chain, which creates the same data transfer headache you were trying to avoid. the drop-in compatibility with existing SDKs is smart too, switching costs are the main reason teams stay on non-compliant infrastructure longer than they should. curious how latency compares to going direct to anthropic or openai for european users?
This is nice. Does PII masking work on structured JSON outputs from agents, or just raw text?
No token markup but 3% on top- ups___ pricing convenience into cash flow not per-call margin.
Congratulations on the launch! I'm new to gateways and have questions about the setup. First, how does my data stay in the EU if a request goes to a US-hosted model like Claude or GPT? Or the EU residency is only for the models you host in Europe? And second, if I mostly use one EU model, what does routing give me over just calling that model directly? Thank you!
Congrats on the launch! The EU-hosted angle is smart, that's usually an afterthought for most teams. Does it route to EU inference automatically, or do you choose that per request?
Howdy Product Hunt! Co founder Göran here.
One thing we care a lot about is to not just track the frontier, but also the base. We run benchmarks on common tasks and track model performance, cost and time to complete. For example, GLM 5.2 does not perform as well as Fable across these standard tasks, but it runs the benchmarks at 1/14:th of the cost.
how do the spend caps behave mid-chain when an agent calls several models back to back - does it fail gracefully or need pre-checking before each call?
Massive congratulations on getting this live @gsandahl qq does the unified schema support advanced provider-specific features like structured outputs or tool-calling seamlessly across different models?
About Opper AI on Product Hunt
“The european AI gateway for agents”
Opper AI launched on Product Hunt on July 9th, 2026 and earned 219 upvotes and 44 comments, placing #5 on the daily leaderboard. One API key to 300+ models, hosted in the EU. Drop-in compatible with the OpenAI, Anthropic, and Google SDKs: switching is a base URL change. What's different: ~half our 30+ providers run inference in Europe, one EU sub-processor covers every model, no prompts stored by default. Add the control plane for routing, PII masking, per-team spend caps, and audit trails. Agent-native: paste one line into Claude Code or Cursor and it sets up Opper for you. No markup on tokens, 3% fee on credit top-ups.
Opper AI was featured in API (98.4k followers), Developer Tools (515.4k followers) and Artificial Intelligence (473.1k followers) on Product Hunt. Together, these topics include over 191.3k products, making this a competitive space to launch in.
Who hunted Opper AI?
Opper AI was hunted by André J. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Opper AI stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
André J
Hey Product Hunt! Felix here, one of the founding members of Opper.
We're launching Opper, Europe's answer to OpenRouter: one API key to 300+ models across 30+ inference providers.
One integration to find the right model for any task, run it, and switch the moment something better ships. OpenAI, Anthropic, Google, Meta, xAI, Mistral, DeepSeek, plus the leading open-weight labs.
The reason we built it: there is no single best model. The lead changes every week, and wiring up a new provider every time it changes means new contracts, new SDKs, new billing. With Opper that's one integration, no new contract per model or provider.
Being European isn't just where we're incorporated, it's the product. Around half of our 30+ providers run inference in Europe, including sovereign hosts like Evroc, Berget, Geodd, and many more.
EU data residency, audit trails, and PII controls are built in, not bolted on. If you've ever needed the best models AND a straight answer on where your data runs, that's us.
On the control side: per-team spend caps and full cost visibility. Think Stripe for AI spend.
Where we are today: 50,000+ developers, powering AI for 10M+ end users, €3M raised from the investors behind Lovable.
You might already know us without knowing the name: we're the team behind the viral Car Wash Test, where we asked 53 models whether to walk or drive 50 meters to a car wash and only 5 said drive: opper.ai/blog/car-wash-test
That's now a thing you can do yourself with AI Roundtable: put any question to 200+ models and watch them answer and debate at askroundtable.ai.
I'll be in the comments all day. Would love to hear what would make you switch gateways, or what's kept you from using one at all.