What is ApexAPI?
ApexAPI provides a unified AI API gateway exposing 14+ providers through a single OpenAI-compatible endpoint.Developers use one API key and a consistent request format to access models from OpenAI, Anthropic, Google (Vertex AI), Mistral, Cohere, Replicate, Groq, Perplexity and others.
Supports chat completions, text and image model endpoints, and real-time token streaming via Server-Sent Events (SSE).Switch providers by changing the model name, manage multiple provider accounts from one interface, and integrate with existing OpenAI SDKs as a drop-in replacement.
Suitable for developer prototypes, multi-model experimentation, and production deployments that require model portability and unified monitoring.
ApexAPI pricing Paid
Verify on the official pricing page.
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ApexAPI's key features
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Unified OpenAI-compatible API gateway for multiple model providers
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Single API key and consistent request format to access all providers
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Support for chat completions, text and image model endpoints, and real-time token streaming via Server-Sent Events (SSE)
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Provider switching by model-name and management of multiple provider accounts from one interface
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Drop-in compatibility with existing OpenAI SDKs and documentation including API reference, model catalog, authentication, rate limits, and streaming examples
ApexAPI use cases
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Build a multi-model experimentation platform with apexapi's unified AI gateway and single-key access, enabling teams to switch providers, compare chat/text/image models, and port models without changing integration code
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Integrate real-time token streaming and SSE into chatbots and collaborative apps using apexapi's drop-in SDK replacement to deliver low-latency, token-by-token responses and seamless provider failover
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Consolidate multi-provider account management, billing, and model selection for production pipelines by routing text, chat, and image requests through apexapi's single endpoint to simplify deployment, scaling, and provider fallback
Who is it for?
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Software developers
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Machine learning engineers
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Data scientists
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Mlops/platform engineers
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Ai research teams
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Technical product managers
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Engineering leads/ctos
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Startup engineering teams
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Enterprise engineering teams managing multi-provider deployments