{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"eden-ai","slug":"eden-ai","name":"Eden AI","type":"api","url":"https://www.edenai.co","page_url":"https://unfragile.ai/eden-ai","categories":["llm-apis"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"eden-ai__cap_0","uri":"capability://tool.use.integration.multi.provider.llm.chat.completion.routing","name":"multi-provider llm chat completion routing","description":"Routes chat completion requests to 500+ LLM models across 100+ AI providers (OpenAI, Anthropic, Google, Mistral, etc.) through a unified API endpoint. Implements provider abstraction by normalizing request/response formats to OpenAI-compatible schema, allowing developers to swap providers without code changes. Automatically selects models based on developer-specified criteria (cost, latency, region) or enables Eden AI's smart routing algorithm to optimize selection dynamically.","intents":["I want to use multiple LLM providers without rewriting code for each provider's API","I need to compare LLM costs and latencies across providers and switch automatically based on performance","I want to avoid vendor lock-in by abstracting away provider-specific API differences","I need to route requests to the cheapest or fastest model for each query dynamically"],"best_for":["teams building LLM applications who want provider flexibility without architectural refactoring","cost-conscious startups needing to optimize LLM spend across multiple providers","enterprises requiring vendor lock-in avoidance and multi-provider redundancy"],"limitations":["OpenAI-compatible API abstraction may not expose provider-specific features (e.g., Claude's extended thinking, GPT-4o's vision capabilities) without custom handling","Smart routing algorithm behavior and optimization criteria are proprietary — no visibility into routing decisions or ability to audit provider selection","Streaming response implementation details unknown — potential latency overhead from aggregation layer not quantified","No built-in model-specific parameter validation — developers must understand each provider's constraints (context window, token limits) independently"],"requires":["API key from Eden AI (free tier available, specific limits unknown)","HTTP client library or OpenAI SDK compatible with custom base URL","Understanding of which models are available and their provider mappings (must query model catalog endpoint)"],"input_types":["text (chat messages in OpenAI format: role, content)","structured JSON (messages array with system/user/assistant roles)"],"output_types":["text (streamed or batch completion)","structured JSON (chat completion response with usage metadata)"],"categories":["tool-use-integration","llm-routing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"eden-ai__cap_1","uri":"capability://automation.workflow.intelligent.provider.failover.and.redundancy","name":"intelligent provider failover and redundancy","description":"Implements automatic fallback mechanisms that detect provider outages or failures and transparently retry requests against alternative providers without application-level error handling. Uses built-in fallback routing logic (developer-defined or Eden AI smart routing) to select backup providers based on availability, cost, and latency. Maintains 99.99% uptime SLA by distributing requests across multiple providers and detecting provider-specific degradation.","intents":["I want my application to remain available even if my primary LLM provider experiences an outage","I need automatic failover to alternative providers without writing custom retry logic","I want to protect against provider-specific rate limiting or quota exhaustion by distributing load"],"best_for":["production applications requiring high availability and SLA compliance","mission-critical systems where LLM downtime directly impacts revenue or user experience","teams without dedicated infrastructure/DevOps to implement custom multi-provider failover"],"limitations":["Failover behavior and provider selection criteria during outages are not documented — no visibility into how Eden AI determines which backup provider to use","Fallback latency overhead unknown — time to detect failure and switch providers not quantified","No control over fallback order or custom failover rules documented — appears to be automatic only","Webhook-based async notification of failover events mentioned but trigger conditions and payload format unknown"],"requires":["API key from Eden AI","Multiple providers configured in account (at least 2 for meaningful redundancy)","Understanding that failover is transparent — application code does not need explicit retry logic"],"input_types":["chat completion requests (same format as primary provider)"],"output_types":["chat completion response from whichever provider succeeded"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"eden-ai__cap_10","uri":"capability://data.processing.analysis.structured.output.generation.with.schema.validation","name":"structured output generation with schema validation","description":"Enables LLM requests to specify JSON schema for structured output, with automatic validation and fallback to alternative providers if schema validation fails. Implements schema-based function calling across multiple providers (OpenAI, Anthropic, etc.) with normalized request/response format. Supports complex nested schemas and array outputs with type validation.","intents":["I want LLMs to return structured JSON that matches my application's data model without post-processing","I need guaranteed schema compliance for LLM outputs with automatic retry if validation fails","I want to use function calling across multiple providers without learning provider-specific schema syntax"],"best_for":["applications requiring reliable structured data extraction from LLMs","teams building LLM-powered data pipelines with strict schema requirements","systems where LLM output must integrate directly with databases or APIs"],"limitations":["Supported schema format and JSON schema dialect unknown (JSON Schema draft version unknown)","Schema validation logic and error handling unknown — unclear how validation failures are handled","Provider support for structured output varies — not all providers may support all schema features","Fallback behavior if provider cannot generate schema-compliant output unknown","Performance impact of schema validation not documented","Complex nested schema support and array handling unknown"],"requires":["API key from Eden AI","JSON schema defining expected output structure","Chat completion request with schema parameter (parameter name and format unknown)"],"input_types":["chat completion request with JSON schema","JSON schema (format and dialect unknown)"],"output_types":["structured JSON matching provided schema","validation error if output does not match schema"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"eden-ai__cap_11","uri":"capability://automation.workflow.webhook.based.async.processing.with.event.notifications","name":"webhook-based async processing with event notifications","description":"Provides webhook endpoint for asynchronous processing of long-running AI tasks (image generation, transcription, etc.) with event-based notifications. Implements request queuing, background processing, and HTTP callback delivery when tasks complete. Supports custom webhook URLs and payload formats with retry logic for failed deliveries.","intents":["I want to process long-running AI tasks asynchronously without blocking my application","I need notifications when image generation or transcription tasks complete","I want to decouple request submission from result retrieval for better scalability"],"best_for":["applications with long-running AI tasks (image generation, video processing, etc.)","systems requiring high throughput and asynchronous processing","teams building event-driven architectures with AI components"],"limitations":["Webhook trigger conditions and event types unknown","Webhook payload schema and format unknown","Retry logic, backoff strategy, and max retry count unknown","Webhook timeout and delivery guarantee semantics unknown","Authentication method for webhook callbacks unknown (API key, signature verification, etc.)","Request queue depth and processing latency unknown","Webhook delivery ordering guarantees unknown"],"requires":["API key from Eden AI","Publicly accessible webhook URL to receive callbacks","HTTP server capable of handling POST requests","Understanding of async processing patterns and event-driven architecture"],"input_types":["async task request with webhook URL parameter"],"output_types":["immediate response with task ID","webhook callback with task result when complete"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"eden-ai__cap_12","uri":"capability://automation.workflow.multi.region.request.routing.with.latency.optimization","name":"multi-region request routing with latency optimization","description":"Routes requests to AI providers based on geographic region and network latency, selecting the closest or fastest provider endpoint for each request. Implements region-aware provider selection and supports custom routing rules based on execution region preferences. Enables developers to specify preferred regions (e.g., EU for GDPR compliance) or optimize for lowest latency.","intents":["I want my LLM requests to be processed in a specific geographic region for compliance or latency reasons","I need automatic routing to the closest provider endpoint to minimize response latency","I want to ensure data residency in specific regions (EU, US, etc.) for regulatory compliance"],"best_for":["global applications requiring low-latency responses across regions","teams with data residency requirements (GDPR, data sovereignty, etc.)","applications where request latency directly impacts user experience"],"limitations":["Supported regions and provider coverage per region unknown","Region selection mechanism and API parameter format unknown","Latency metrics and how regions are selected unknown","Data residency guarantees and provider compliance per region unknown","Cost differences between regions unknown","Failover behavior if preferred region is unavailable unknown"],"requires":["API key from Eden AI","Knowledge of which regions are supported (list unknown)","Region parameter in request (format unknown)"],"input_types":["chat completion or other AI request with region parameter"],"output_types":["response from provider in specified region"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"eden-ai__cap_13","uri":"capability://memory.knowledge.request.caching.with.cost.reduction","name":"request caching with cost reduction","description":"Implements transparent request caching layer that detects duplicate or similar requests and returns cached responses instead of making new API calls to providers. Caches responses at the Eden AI platform level and applies cache hits across all users, reducing redundant provider calls and lowering costs. Supports cache invalidation and TTL configuration.","intents":["I want to reduce my LLM API costs by caching responses to common questions","I need faster responses for frequently asked questions by serving cached results","I want automatic deduplication of requests across my application"],"best_for":["applications with repetitive queries (FAQ, common use cases, etc.)","cost-sensitive teams looking to reduce LLM spend","systems where response latency is critical and caching can help"],"limitations":["Cache key generation logic and similarity matching unknown — unclear how 'similar' requests are detected","Cache TTL (time-to-live) and invalidation strategy unknown","Cache hit rate and cost savings metrics not documented","Cache scope (per-user, global, per-provider) unknown","Cache control parameters and API format unknown","Privacy implications of cross-user caching not documented"],"requires":["API key from Eden AI","Understanding that caching may return stale responses","Acceptance of potential privacy implications of shared caching"],"input_types":["chat completion or other AI request (caching is transparent)"],"output_types":["cached response if available, otherwise fresh response from provider"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"eden-ai__cap_14","uri":"capability://data.processing.analysis.usage.monitoring.and.cost.analytics.dashboard","name":"usage monitoring and cost analytics dashboard","description":"Provides dashboard and API endpoints for monitoring API usage, costs, and performance metrics across all requests. Tracks cost per request, per model, per provider, and per user with real-time analytics. Supports cost alerts, budget limits, and detailed usage reports for cost optimization and billing transparency.","intents":["I want to see how much I'm spending on each LLM provider and model","I need to set budget limits and receive alerts when approaching spending thresholds","I want detailed usage reports to identify cost optimization opportunities"],"best_for":["teams managing LLM costs and budgets","finance/operations teams requiring billing transparency","product managers optimizing AI feature costs"],"limitations":["Dashboard features and granularity unknown (per-request, per-model, per-provider, per-user)","Cost alert configuration and notification methods unknown","Budget limit enforcement and overage handling unknown","Usage report formats and export options unknown","Real-time vs. batch reporting latency unknown","Historical data retention period unknown"],"requires":["API key from Eden AI","Access to monitoring dashboard (URL and authentication method unknown)"],"input_types":["query parameters to usage/cost API endpoints (format unknown)"],"output_types":["usage and cost metrics in structured JSON or dashboard visualization"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"eden-ai__cap_15","uri":"capability://safety.moderation.api.key.management.with.multiple.keys.and.project.isolation","name":"api key management with multiple keys and project isolation","description":"Supports creation and management of multiple API keys per account with optional project/environment isolation. Enables developers to create separate keys for development, staging, and production environments, with granular control over key permissions and usage limits. Supports key rotation and revocation without affecting other keys.","intents":["I want to use different API keys for development and production environments","I need to rotate API keys periodically for security without downtime","I want to isolate usage and costs by project or team"],"best_for":["teams with multiple environments and projects","security-conscious organizations requiring key rotation and isolation","teams needing to track costs and usage per project"],"limitations":["Key permission granularity unknown — unclear if keys can be restricted by model, provider, or operation","Key rotation mechanism and downtime implications unknown","Project isolation scope and cost tracking per project unknown","Key expiration and automatic rotation support unknown","Rate limit configuration per key unknown"],"requires":["Eden AI account","Access to API key management interface (URL and features unknown)"],"input_types":["API key management requests (format unknown)"],"output_types":["API key (format unknown, likely random string)"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"eden-ai__cap_2","uri":"capability://data.processing.analysis.cost.and.latency.optimization.with.model.comparison","name":"cost and latency optimization with model comparison","description":"Provides a model catalog endpoint that returns pricing, latency, and accuracy metrics for 500+ models across all providers, enabling developers to query and compare models by cost-per-token, response latency, and execution region. Implements automatic provider price synchronization (claims no markup applied) and allows developers to define custom routing rules based on cost/latency thresholds or enable Eden AI's smart routing algorithm to optimize automatically per-request. Supports cost monitoring dashboard and performance analytics.","intents":["I want to see which LLM models are cheapest and fastest before making requests","I need to optimize my LLM spend by automatically routing to the lowest-cost provider for each request type","I want to understand the cost/latency tradeoffs across providers and make informed model selection decisions","I need to monitor my actual LLM costs and latencies in production to identify optimization opportunities"],"best_for":["cost-conscious teams building high-volume LLM applications where per-request optimization matters","product managers and engineers evaluating LLM providers for new features","teams with variable workloads that benefit from dynamic model selection based on cost/latency"],"limitations":["Model catalog endpoint schema and response format unknown — no documentation of how to query models or filter by criteria","Latency metrics in catalog are static benchmarks, not real-time — actual request latency depends on network conditions and provider load","Smart routing algorithm optimization criteria are proprietary — no visibility into how Eden AI weights cost vs. latency vs. accuracy","Cost monitoring dashboard features and granularity unknown — unclear if costs are tracked per-model, per-provider, or per-request","Accuracy metrics for models unknown — no documentation of how accuracy is measured or sourced","Provider price updates claimed to be automatic but update frequency and latency unknown"],"requires":["API key from Eden AI","Access to model catalog endpoint (endpoint URL and authentication method not documented)","Understanding of which metrics matter for your use case (cost, latency, accuracy, region)"],"input_types":["query parameters to model catalog endpoint (specific parameters unknown)"],"output_types":["structured JSON with model metadata: name, provider, cost-per-token, latency-ms, accuracy-score, supported-regions"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"eden-ai__cap_3","uri":"capability://tool.use.integration.openai.compatible.api.drop.in.replacement","name":"openai-compatible api drop-in replacement","description":"Implements OpenAI API-compatible endpoint that accepts requests in OpenAI chat completion format and returns responses in OpenAI format, allowing developers to swap the API base URL and use existing OpenAI client libraries (Python, JavaScript, etc.) without code changes. Normalizes requests/responses across 100+ providers to OpenAI schema, abstracting provider-specific parameter differences. Supports streaming responses and structured output generation in OpenAI format.","intents":["I have existing code using OpenAI SDK and want to switch to Eden AI without rewriting","I want to use multiple providers but keep my code compatible with OpenAI client libraries","I need to test different providers by only changing the API base URL"],"best_for":["teams with existing OpenAI integrations who want to evaluate alternative providers","developers building provider-agnostic applications using OpenAI SDK as the standard interface","rapid prototyping scenarios where code portability across providers is important"],"limitations":["OpenAI-compatible abstraction may not support provider-specific parameters or features — developers cannot access Claude's extended thinking, GPT-4o vision capabilities, or other provider-specific options through this interface","Streaming implementation details unknown — potential latency or buffering overhead from aggregation layer not documented","Structured output format compatibility with OpenAI's schema unknown — may require custom handling for non-OpenAI providers","Error codes and error message format compatibility with OpenAI unknown — error handling code may need adjustment"],"requires":["API key from Eden AI","OpenAI client library (Python openai>=1.0, JavaScript openai>=4.0, etc.) or HTTP client","Knowledge of which models are available through Eden AI (must query model catalog)"],"input_types":["OpenAI chat completion request format: {model, messages, temperature, max_tokens, etc.}"],"output_types":["OpenAI chat completion response format: {id, object, created, model, choices, usage}"],"categories":["tool-use-integration","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"eden-ai__cap_4","uri":"capability://image.visual.unified.ocr.and.document.text.extraction","name":"unified ocr and document text extraction","description":"Provides a single OCR endpoint that routes optical character recognition requests to multiple OCR providers (Google Vision, AWS Textract, Azure Computer Vision, etc.) with automatic provider selection. Normalizes OCR output (extracted text, bounding boxes, confidence scores) across providers to a standard schema. Supports image file uploads and returns structured text extraction with layout preservation and confidence metadata.","intents":["I need to extract text from images and documents without integrating multiple OCR provider SDKs","I want to compare OCR accuracy across providers and automatically use the best one","I need OCR with automatic failover if my primary provider is unavailable"],"best_for":["teams building document processing pipelines that need provider flexibility","applications requiring high OCR accuracy where provider comparison matters","cost-sensitive projects needing to optimize OCR spend across providers"],"limitations":["OCR output schema and supported metadata fields unknown — unclear if bounding boxes, confidence scores, or layout information are returned","Supported image formats and maximum file size unknown","OCR accuracy metrics and provider comparison data not documented","Handwriting recognition support unknown — unclear which providers support cursive/handwritten text","Multi-language OCR support unknown — no documentation of language detection or multi-language extraction","Layout preservation and table detection capabilities unknown"],"requires":["API key from Eden AI","Image file (format and size limits unknown)","HTTP client or SDK for file upload"],"input_types":["image files (formats unknown, likely JPEG/PNG/PDF)","structured request with image data and optional parameters"],"output_types":["structured JSON with extracted text, bounding boxes, confidence scores, language detection"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"eden-ai__cap_5","uri":"capability://text.generation.language.multi.language.translation.with.provider.selection","name":"multi-language translation with provider selection","description":"Routes translation requests to multiple translation providers (Google Translate, AWS Translate, Azure Translator, DeepL, etc.) through a unified endpoint. Normalizes translation output across providers and supports automatic provider selection based on language pair, cost, or latency. Handles language detection, transliteration, and context-aware translation through provider-specific capabilities.","intents":["I need to translate content into multiple languages without integrating each provider's SDK","I want to compare translation quality across providers for specific language pairs","I need automatic failover for translation if my primary provider doesn't support a language pair"],"best_for":["global applications requiring multi-language support with provider flexibility","content platforms needing high-quality translation across many language pairs","teams optimizing translation costs by comparing providers per language pair"],"limitations":["Supported language pairs and provider coverage per language unknown","Translation quality metrics and provider comparison data not documented","Context preservation and domain-specific translation (e.g., technical, legal) support unknown","Transliteration and script conversion capabilities unknown","Batch translation support and maximum content length unknown","Custom glossary or terminology support unknown"],"requires":["API key from Eden AI","Source language and target language codes","Text content to translate (maximum length unknown)"],"input_types":["text (source language, target language, content)","structured JSON with translation parameters"],"output_types":["translated text","structured JSON with translation metadata (confidence, detected language, etc.)"],"categories":["text-generation-language","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"eden-ai__cap_6","uri":"capability://image.visual.speech.to.text.transcription.with.provider.routing","name":"speech-to-text transcription with provider routing","description":"Routes speech-to-text transcription requests to multiple ASR (automatic speech recognition) providers (Google Cloud Speech-to-Text, AWS Transcribe, Azure Speech Services, etc.) through a unified endpoint. Supports audio file uploads and streaming audio input, with automatic provider selection based on language, audio quality, or cost. Normalizes transcription output (text, confidence scores, timestamps) across providers.","intents":["I need to transcribe audio files without integrating multiple speech-to-text provider SDKs","I want to compare transcription accuracy across providers for my use case","I need automatic failover for speech-to-text if my primary provider is unavailable"],"best_for":["applications requiring speech-to-text with provider flexibility (voice assistants, meeting transcription, etc.)","teams optimizing transcription costs across multiple providers","multi-language applications needing language-specific provider selection"],"limitations":["Supported audio formats and maximum file size unknown","Streaming audio support details unknown — buffering, latency, and real-time transcription capabilities not documented","Language support and provider coverage per language unknown","Speaker diarization (identifying who spoke) support unknown","Punctuation and capitalization handling unknown","Custom vocabulary and domain-specific model support unknown","Confidence scores and word-level timing metadata unknown"],"requires":["API key from Eden AI","Audio file or streaming audio input (formats and size limits unknown)","Language code for transcription"],"input_types":["audio files (formats unknown, likely WAV/MP3/OGG)","streaming audio (protocol and format unknown)","structured request with audio data and language parameters"],"output_types":["transcribed text","structured JSON with timestamps, confidence scores, speaker identification"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"eden-ai__cap_7","uri":"capability://image.visual.text.to.speech.synthesis.with.voice.selection","name":"text-to-speech synthesis with voice selection","description":"Routes text-to-speech synthesis requests to multiple TTS providers (Google Cloud Text-to-Speech, AWS Polly, Azure Speech Services, ElevenLabs, etc.) through a unified endpoint. Supports voice selection, language/locale configuration, and audio format specification. Normalizes TTS output across providers and enables automatic provider selection based on voice availability, audio quality, or cost.","intents":["I need to generate speech from text without integrating multiple TTS provider SDKs","I want to compare voice quality across providers and select the best voice for my use case","I need automatic failover for text-to-speech if my primary provider is unavailable"],"best_for":["applications requiring natural-sounding speech output (voice assistants, accessibility features, etc.)","teams optimizing TTS costs across multiple providers","multi-language applications needing language-specific voice selection"],"limitations":["Available voices and language/locale support per provider unknown","Audio format options and quality levels unknown","SSML (Speech Synthesis Markup Language) support and provider compatibility unknown","Voice customization options (pitch, speed, emotion) and provider support unknown","Real-time streaming TTS support unknown","Pricing per character/word and provider cost comparison unknown"],"requires":["API key from Eden AI","Text content to synthesize","Voice selection (voice ID or name, format unknown)","Language/locale code"],"input_types":["text (plain text or SSML, maximum length unknown)","structured JSON with voice, language, and audio format parameters"],"output_types":["audio file (format depends on request, likely MP3/WAV/OGG)","audio stream (if streaming supported)"],"categories":["image-visual","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"eden-ai__cap_8","uri":"capability://image.visual.image.generation.with.model.comparison","name":"image generation with model comparison","description":"Routes image generation requests to multiple generative image providers (DALL-E, Midjourney, Stable Diffusion, etc.) through a unified endpoint. Supports text-to-image generation with customizable parameters (size, style, quality) and enables automatic provider selection based on model capabilities, cost, or generation speed. Normalizes image output and metadata across providers.","intents":["I need to generate images from text prompts without integrating multiple image generation provider SDKs","I want to compare image quality and generation speed across providers","I need automatic failover for image generation if my primary provider is unavailable or rate-limited"],"best_for":["creative applications requiring image generation with provider flexibility","teams optimizing image generation costs across multiple providers","applications needing diverse image styles or quality levels"],"limitations":["Supported image generation models and their capabilities unknown","Image size, quality, and style parameter options per provider unknown","Generation latency and queue time not documented","Image licensing and usage rights per provider unknown","Batch image generation support unknown","Negative prompts and advanced prompt engineering features unknown","Image editing/inpainting capabilities unknown"],"requires":["API key from Eden AI","Text prompt describing the image to generate","Image parameters (size, style, quality — specific options unknown)"],"input_types":["text prompt","structured JSON with generation parameters (size, style, quality, etc.)"],"output_types":["image file (format unknown, likely PNG/JPEG)","structured JSON with image metadata (URL, size, generation time, model used)"],"categories":["image-visual","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"eden-ai__cap_9","uri":"capability://search.retrieval.web.search.integration.with.llm.context","name":"web search integration with llm context","description":"Integrates web search capabilities into LLM requests, allowing chat completion endpoints to retrieve current web information and inject search results into LLM context before generating responses. Implements search query generation from user prompts, result ranking and filtering, and automatic context injection without requiring separate search API calls. Supports multiple search providers and enables LLMs to cite sources.","intents":["I want my LLM application to answer questions about current events without manual web search integration","I need LLM responses grounded in real-time web information with source citations","I want to reduce hallucinations by providing LLMs with factual web search results"],"best_for":["question-answering applications requiring current information (news, research, etc.)","chatbots needing to cite sources and provide factual accuracy","applications where hallucination reduction is critical"],"limitations":["Web search provider selection and coverage unknown","Search query generation logic and how it's derived from user prompts unknown","Result ranking and filtering criteria unknown","Number of search results injected into context unknown","Context injection method and potential token overhead unknown","Source citation format and reliability unknown","Search latency and impact on response time not documented"],"requires":["API key from Eden AI","Chat completion request with web search enabled (parameter name and format unknown)","Understanding that web search adds latency to responses"],"input_types":["chat completion request with web search flag enabled"],"output_types":["chat completion response with search results injected into context","source citations (format unknown)"],"categories":["search-retrieval","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"eden-ai__headline","uri":"capability://tool.use.integration.universal.ai.api.aggregator","name":"universal ai api aggregator","description":"Eden AI is a universal AI API aggregator that provides a single interface to access over 100 AI providers for various tasks including NLP, vision, speech, translation, and generative AI, simplifying provider comparison and ensuring service reliability.","intents":["best AI API aggregator","AI API for NLP and vision","universal API for generative AI","AI API with automatic failover","compare AI service providers"],"best_for":["developers looking for diverse AI capabilities","businesses needing reliable AI services"],"limitations":[],"requires":["API key for authentication"],"input_types":["text","images","audio"],"output_types":["text","processed images","audio"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":58,"verified":false,"data_access_risk":"high","permissions":["API key from Eden AI (free tier available, specific limits unknown)","HTTP client library or OpenAI SDK compatible with custom base URL","Understanding of which models are available and their provider mappings (must query model catalog endpoint)","API key from Eden AI","Multiple providers configured in account (at least 2 for meaningful redundancy)","Understanding that failover is transparent — application code does not need explicit retry logic","JSON schema defining expected output structure","Chat completion request with schema parameter (parameter name and format unknown)","Publicly accessible webhook URL to receive callbacks","HTTP server capable of handling POST requests"],"failure_modes":["OpenAI-compatible API abstraction may not expose provider-specific features (e.g., Claude's extended thinking, GPT-4o's vision capabilities) without custom handling","Smart routing algorithm behavior and optimization criteria are proprietary — no visibility into routing decisions or ability to audit provider selection","Streaming response implementation details unknown — potential latency overhead from aggregation layer not quantified","No built-in model-specific parameter validation — developers must understand each provider's constraints (context window, token limits) independently","Failover behavior and provider selection criteria during outages are not documented — no visibility into how Eden AI determines which backup provider to use","Fallback latency overhead unknown — time to detect failure and switch providers not quantified","No control over fallback order or custom failover rules documented — appears to be automatic only","Webhook-based async notification of failover events mentioned but trigger conditions and payload format unknown","Supported schema format and JSON schema dialect unknown (JSON Schema draft version unknown)","Schema validation logic and error handling unknown — unclear how validation failures are handled","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.7,"quality":0.9,"ecosystem":0.15000000000000002,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.28,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:21.548Z","last_scraped_at":null,"last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=eden-ai","compare_url":"https://unfragile.ai/compare?artifact=eden-ai"}},"signature":"R+AYrbOtk/5u+yfzwOu0MawpH+6U05E+BOJzpb8tdDEPrOj5+iP1pE25mxkADo6DoAzfV4oi+7/mElicNgh1BA==","signedAt":"2026-06-20T09:27:26.434Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/eden-ai","artifact":"https://unfragile.ai/eden-ai","verify":"https://unfragile.ai/api/v1/verify?slug=eden-ai","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}