NativePort

One key, 28 benchmarked APIs for AI agents

4 followers

One key, 28 benchmarked APIs for AI agents

4 followers

NativePort routes AI agents to 28 APIs: search, scraping, browser automation, voice, and inference, through one key. Each provider keeps its native request and response shape, so there's no wrapper format to learn. One ledger tracks real metered cost across all 28. Run out of balance and you get an explicit HTTP 402, never a silently degraded response. We publish benchmark scores with run dates for every capability, weak scores included, so you can see who actually leads.

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Launch tags:API•Developer Tools•Artificial Intelligence

Launch Team

Zendesk for StartupsUp to 2 years free for startups + AI Agents & Copilot

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Maker

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Hey Product Hunt 👋 I'm João, from NativePort. Every AI agent project I built started the same way: juggling a dozen-plus API keys for search, scraping, browser automation, voice, and inference, each with its own auth, its own bill, and its own way of failing silently when something broke. NativePort is the fix I built for myself first. One key routes to 28 providers, but we kept every provider's native request and response shape, so there's nothing new to learn. One ledger tracks real cost. And when your balance runs out, you get an explicit HTTP 402 instead of a degraded response you might not notice until it's too late. The part I'm most proud of: we publish benchmark scores for every capability, with run dates, and we don't hide the providers that score low. If you're building agents and tired of stitching APIs together, I'd love for you to try it, $5 in credit is included to get started. Happy to answer anything here today, especially if you've hit the "silent degradation" problem yourself."

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2mo ago

Maker

When we launched NativePort on Product Hunt, the gateway covered 28 providers. It now covers 31 across search, scraping, browser automation, voice, and model inference.

The original idea remains the same: one key and one balance, without forcing every provider into a normalized wrapper. You choose the exact provider for each request and keep its native request and response shape.

The broader catalog gives AI-agent builders more options, while our public leaderboards help compare them by capability. Each benchmark uses the same corpus for the providers covered in that capability and combines measured quality, p50 latency, cost per successful call, and error rate.

Run dates are published, weaker results remain visible, and provider selection stays explicit—NativePort does not auto-route requests based on the rankings.

31 providers. Leaderboards across 13 measured capabilities. One key.

Explore the leaderboards:

https://nativeport.ai/leaderboards/

Read the methodology:

https://nativeport.ai/methodology/

Which provider or capability should we benchmark next?