GitHub hosts HunyuanVideo, Tencent's open-source framework for large-scale video generation models, enabling AI-driven video creation.
NativePort
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About NativePort
NativePort provides a single API key that routes requests to multiple web access and AI inference providers under one credit balance. Users send a query or task to a provider-specific endpoint and receive the provider’s native response without rewriting parameters or responses. The platform publishes benchmark scores for 32 providers across 13 capabilities such as web search, SERP scraping, agentic browsing, document parsing, screenshots and OCR. Each provider’s metered price is debited from the user’s balance, with NativePort adding a 5.5% fee only at top-up. Benchmark runs are repeated regularly and the latest results are dated to reflect current performance. The service targets AI agents, RAG pipelines and automation workflows that require reliable, measurable web access without managing multiple API contracts or credentials.
Key features
- Unified search across 11 providers
- Structured scraping and markdown extraction
- Agentic browsing and page interaction
- Document OCR and schema-driven extraction
- SERP verticals including news, images and scholar
- Screenshot capture and change detection
- Rule-based and AI-powered extraction
- Model inference endpoints
Use cases
- RAG pipelines sourcing fresh web content
- Competitive intelligence via SERP scraping
- Automated document processing and extraction
Pros
- Single API key for 32 providers
- Native endpoints and responses, no rewriting required
- Benchmark scores published with run dates for transparency
- Metered pricing debited at provider’s real cost
- 5.5% fee only at top-up, no monthly minimums
Cons
- No free tier after initial $5 credit
- Requires upfront credit purchase
- Limited to providers listed in the catalog
- No offline or local processing
Frequently asked questions about NativePort
What is NativePort and how does it work?
NativePort provides a unified API key that routes requests to multiple web access and AI inference providers through a single credit balance. Users send queries or tasks to provider-specific endpoints and receive the provider’s native responses without rewriting parameters or responses.
Who should use NativePort?
The service targets AI agents, RAG pipelines, and automation workflows that require reliable, measurable web access without managing multiple API contracts or credentials.
How does pricing work on NativePort?
Each provider’s metered price is debited from the user’s balance, with NativePort adding a 5.5% fee only at top-up. Benchmark runs are repeated regularly, and the latest results are dated to reflect current performance.
Does NativePort provide benchmark scores for providers?
Yes, NativePort publishes benchmark scores for 32 providers across 13 capabilities such as web search, SERP scraping, agentic browsing, document parsing, screenshots, and OCR. The scores are updated regularly with run dates.
Can I use NativePort without rewriting API parameters or responses?
Yes, NativePort allows users to send queries to provider-specific endpoints and receive the provider’s native response without rewriting parameters or responses.
How do I get started with NativePort?
Users can sign up to get an API key, which includes a small credit balance to start using the service. The platform provides documentation and examples to help users integrate quickly.
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