NativePort

NativePort: an OpenRouter alternative with tools for AI agents

OpenRouter gives an agent one endpoint to a broad field of language models, with automatic routing and fallback between them. NativePort gives an agent one key and one balance for a narrower, OpenAI compatible inference route across four upstream providers, plus a separate catalog of native search, scraping, browser automation and voice APIs. They overlap on model calls and diverge everywhere else. This page compares them on the facts, positions NativePort as an OpenRouter alternative built around its own agent toolset, not a swap in for OpenRouter itself, and says plainly where OpenRouter is still the right pick.

Facts checked against OpenRouter's and NativePort's own documentation on July 30, 2026. See sources below.

Who each one is actually for

Neither gateway is a universal answer. Read the side you don't expect before you pick.

Reach for NativePort when

Your agent needs more than a model: it also has to search the web, scrape or crawl a page, drive a browser, or generate speech, and you'd rather meter all of that from one key and one dollar balance than stitch together a separate account per vendor. The inference route covers OpenAI, Anthropic, xAI's Grok and Hugging Face models on the same account.

Reach for OpenRouter when

You want a broad, documented model selection behind a single endpoint, with automatic provider routing and fallback so a rate limit or an outage on one backend doesn't take your agent down, and you don't need search, scraping, browser automation or voice bundled onto the same account.

Where they differ

Every row below is sourced from each company's own current documentation, linked at the bottom of this page.

OpenRouterNativePort
Core productModel routing gateway: one endpoint to many LLM providers with automatic fallbackWeb access gateway: inference plus separate search, scraping, browser automation and voice APIs
Inference contractOpenAI compatible chat completions at /api/v1, plus TypeScript/Python SDKs and an Agent SDKOpenAI compatible chat completions at /inference/v1, called directly, no dedicated SDK
Model accessDocuments access to hundreds of models across many providers, by OpenRouter's own countFour upstream integrations, each with its own model catalog: OpenAI, Anthropic, xAI's Grok, and Hugging Face's own multi-provider router
Automatic model/provider routingYes: price, throughput or latency based sort, provider order, allow and deny listsNo: you choose the exact model and provider on every request
Automatic fallback on errorYes: a models array retries the next model on context, moderation, rate limit or downtime errorsNo: a failed request stays failed; retry logic is yours to write
Bring your own upstream keySupported; free for the first 1M requests a month, then a 5% fee, per OpenRouter's FAQSupported per inference provider; register your own OpenAI, Anthropic, Grok or Hugging Face key to bill that provider directly instead of metering through the gateway
Agent APIs beyond inferenceAn optional web search server tool, billed per search through Exa, Parallel, Perplexity or FirecrawlA catalog of native search, scraping, browser automation and voice provider APIs on the same key
Markup on model callsNone, per OpenRouter's FAQ: you pay the provider's own rateNone, per NativePort's docs: usage is metered at the provider's real price
Account fee5.5% on Stripe credit purchases ($0.80 minimum) or 5% on crypto; BYOK free to 1M requests a month, then 5%Flat 5.5%, charged only on credit top ups from $10 to $5,000
Starting balanceA small free allowance for new accounts, plus rate limited :free model variants$5 of credit seeded automatically at sign up

NativePort's broader provider API catalog

OpenRouter's own docs describe one bundled tool: an optional web search server tool for grounding a chat completion. Scraping, browser automation and voice generation aren't documented in the OpenRouter product pages we checked. NativePort runs a wider catalog of native provider APIs alongside inference, on the same key and balance, and nothing below is invoked automatically by a chat completion; your agent calls each one directly.

Search

Serper, Tavily, Brave, SerpApi and more, reached with their own native request shape.

Scraping & crawling

Firecrawl, Zyte, ScraperAPI, Scrapfly and the rest of the crawling and extraction catalog.

Browser automation

Browserbase and Apify for sessions and actions a plain HTTP scrape can't reach, plus Browserless and Steel for single-call screenshots, PDFs and page-content capture.

Voice & audio

ElevenLabs and Fish Audio for text to speech, transcription and voice design.

See the full provider catalog →

One key, two different calls

An agent that both reasons about a task and needs live web results makes two separate, ordinary HTTP calls here, the model call and the tool call, both authenticated with the same key:

curl https://api.nativeport.ai/inference/v1/chat/completions \
  -H "Authorization: Bearer $NATIVEPORT_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "openai/gpt-5.4-mini", "messages": [{"role": "user", "content": "..."}]}'

# the model decides a search query is needed, then your code calls:
curl https://api.nativeport.ai/serper/search \
  -H "Authorization: Bearer $NATIVEPORT_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"q": "..."}'

# → each call meters the one balance at the provider's real price

On OpenRouter, the first call is the same idea against their endpoint; getting search results into the conversation means turning on their optional web search plugin or server tool, priced per search on top of the model call. Reaching a specific scraping provider, driving a browser session, or generating speech isn't documented as part of OpenRouter's product; those need a separate vendor and a separate account either way.

See the same one key pattern wired into a framework: LangChain, CrewAI, the OpenAI Agents SDK, or Agno.

Sources

Checked July 30, 2026. Figures on this page change as either company's docs change; if something here looks stale, the source is one click away.

OpenRouter, official docs

Quickstart · Provider selection · Model fallbacks · Web search · FAQ

NativePort, own docs and catalog

Inference API reference · Provider catalog · Pricing

Asked and answered

Can I point my existing OpenRouter integration straight at NativePort?

Not without changes. Both speak an OpenAI compatible chat completions shape, so the request format looks similar, but NativePort has no equivalent to OpenRouter's provider sort, order, or models fallback array, and it integrates four upstream providers instead of the many OpenRouter documents. Treat NativePort as a separate gateway with its own agent toolset, not a swap in for an OpenRouter client.

Does NativePort automatically route or fall back between model providers like OpenRouter does?

No. OpenRouter's provider object supports sort, order, allow_fallbacks, only and ignore, plus a models array for automatic failover to the next model on an error. NativePort's inference route takes one canonical model id per request and does not pick a provider or retry a different model on your behalf.

Are NativePort's included tool APIs invoked automatically by an inference call?

No. Search, scraping, browser automation and voice APIs are separate endpoints your own code calls; a chat completion through /inference/v1 doesn't reach out to them on its own, and their usage isn't folded into model pricing. OpenRouter's optional web search server tool works differently: turn it on and the model can trigger a search itself as part of the same conversation, billed per search on top of the model call.

Is NativePort cheaper than OpenRouter?

We are not claiming that. Both pass through the underlying provider's metered rate on model calls with no per call markup, by each company's own account of its pricing. Where they differ is the account level fee: NativePort charges a flat 5.5% only when you add credits, in amounts from $10 to $5,000. OpenRouter charges 5.5% on Stripe credit purchases (an $0.80 minimum) or 5% on crypto, plus BYOK fees after a monthly free allowance. Which is cheaper for you depends on how you fund the account, not on the model prices themselves.

What does NativePort include that OpenRouter doesn't?

A catalog of native search, scraping, browser automation and voice provider APIs, such as Serper, Firecrawl, Browserbase and ElevenLabs, on the same key and balance as inference. They are separate endpoints you call yourself; NativePort doesn't invoke them automatically from a chat completion the way OpenRouter's optional web search tool does, and their cost isn't folded into model pricing.

When should I just use OpenRouter instead of NativePort?

If you need a broad, documented model selection behind one endpoint with automatic price or latency based routing and fallback, or you want model calls and a bundled web-search grounding step in the same request, OpenRouter is the better fit. Come back to NativePort once your agent also needs search, scraping, browser automation or voice APIs on the same account.

Start with the $5

Sign up, get a key, and try the inference route and the wider provider catalog side by side before you commit either way.