Eden AI

Routes natural language requests across 100+ AI providers (OpenAI, Anthropic, Cohere, Mistral, etc.) through a unified API endpoint, automatically switching to backup providers if the primary fails. Implements provider abstraction layer that normalizes request/response formats across different model APIs, enabling seamless switching without client-side code changes. Smart routing logic selects optimal provider based on cost, latency, or availability constraints specified at request time.

Converts audio input (format and codec unspecified in source) to text through a single API interface supporting multiple STT providers. Abstracts provider-specific audio format requirements, sample rates, and language detection capabilities behind normalized request/response contract. Enables switching between providers (e.g., Google Cloud Speech-to-Text, Azure Speech Services, AWS Transcribe) without changing client code.

Premium tier offering private/on-premise deployments of Eden AI infrastructure, custom model optimization, dedicated support with SLA, and custom billing arrangements. Enables enterprises to run aggregation layer in their own infrastructure for data sovereignty or compliance. Includes dedicated technical support and optimization of routing logic for specific workloads.

Provides unified interface for generative AI tasks beyond LLM text generation, including image generation, code generation, and other generative capabilities across multiple providers. Specific generative tasks, supported providers, and output formats are not documented in source material. Abstracts provider-specific generative model APIs behind normalized request/response contract.

Converts text input to audio output through aggregated TTS providers, normalizing voice selection, language support, and audio format output across providers with different capabilities. Single API endpoint accepts text and voice parameters, routes to selected provider, and returns audio in requested format. Enables comparison of voice quality and naturalness across providers without client-side provider switching logic.

Processes images through multiple vision providers (Google Cloud Vision, Azure Computer Vision, AWS Rekognition, etc.) via single API, supporting tasks like object detection, text extraction (OCR), scene understanding, and image classification. Normalizes image format handling and output schemas across providers with different detection capabilities and confidence scoring approaches. Enables switching providers based on cost, accuracy requirements, or availability without application code changes.

Translates text between language pairs through aggregated translation providers (Google Translate, Azure Translator, AWS Translate, etc.) via single API endpoint. Normalizes language code handling and translation quality across providers with different neural models and language coverage. Enables provider selection based on language pair support, cost, or quality requirements without client-side provider switching.

Provides real-time visibility into API usage, costs, and performance metrics across all provider calls through unified dashboard. Tracks per-provider costs, request latency, error rates, and token usage to enable cost optimization and performance analysis. Enables comparison of provider costs and latencies for identical requests, supporting data-driven provider selection decisions. Dashboard aggregates metrics across all 100+ providers into single view.

Allows passing provider-specific parameters and model configurations through unified API without breaking abstraction layer. Supports model-specific settings (temperature, top_p, max_tokens, etc.) that vary across providers, enabling fine-grained control while maintaining provider portability. Normalizes common parameters across providers while allowing provider-specific overrides for advanced use cases.

Allows specifying execution region (geography) for AI provider calls to meet data residency requirements and optimize latency. Routes requests to providers with infrastructure in specified regions, enabling compliance with GDPR, HIPAA, or other data localization regulations. Supports region-aware provider selection where multiple providers offer the same capability in different geographies.

Provides multi-key management system allowing creation of separate API keys for different projects, environments, or teams. Each key can have independent rate limits, usage quotas, and cost tracking. Enables secure key rotation and revocation without affecting other projects. Keys are isolated in dashboard, supporting organizational separation of concerns and security best practices.

Implements credit-based payment model where users purchase credits upfront and consume them across API calls. Platform applies 5.5% fee at checkout on top of underlying provider costs, with no additional markup on per-token/per-request pricing. Pricing shown in model catalog reflects exact provider prices, enabling transparent cost prediction. Credits can be used across all providers without restriction.