Key Features

Unified API interface compatible with OpenAI standards for easy migration
Support for LLMs from OpenAI, Anthropic, and Google through a single point
Enterprise-grade performance with edge deployment and automatic failover
Team Seats functionality for shared management of API credits
Comprehensive usage analytics tracking requests, tokens, latency, and costs
Support for text, vision, embeddings, and function calling capabilities
Provider training opt-out supported where available for enhanced privacy
Initial offering of free API credits upon sign-up

Designed with enterprise demands in mind, the infrastructure emphasizes reliability and high performance through edge deployment and built-in automatic failover mechanisms, ensuring best-in-class uptime even under heavy load. Furthermore, the service supports team collaboration by allowing shared usage of API credits, making it easier for development teams to experiment, test integrations, and manage expenses cohesively. This unified approach extends to functionality, supporting all major model capabilities including text generation, vision inputs, embeddings, and function calling, where supported by the underlying provider.


Integration is made remarkably straightforward due to its compatibility with the established OpenAI API format, enabling developers to seamlessly migrate existing applications by simply changing the API endpoint reference in their code. Beyond ease of setup, the platform offers robust usage analytics, granting users clear visibility into request counts, token consumption, response latencies, and accumulated costs across all integrated providers. To help new users get started immediately, the service extends an introductory offer of free API credits that can be utilized without the necessity of providing payment information upfront.

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