{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_polyai","slug":"polyai","name":"PolyAI","type":"product","url":"https://www.polyai.com","page_url":"https://unfragile.ai/polyai","categories":["chatbots-assistants"],"tags":[],"pricing":{"model":"paid","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_polyai__cap_0","uri":"capability://customer.support.multilingual.conversation.understanding","name":"multilingual conversation understanding","description":"Processes and understands customer inquiries across 100+ languages with native support for code-switching and regional dialects. Maintains semantic understanding across language boundaries without requiring separate model deployments per language.","intents":["I need to support customers in multiple languages without deploying separate systems","I want to handle customers who mix languages in a single conversation","I need to understand regional dialect variations within the same language"],"best_for":["global enterprises","multinational customer service teams","companies with diverse customer bases"],"limitations":["requires training data in target languages for optimal performance","some rare languages may have reduced accuracy"],"requires":["customer conversation data","language-specific training examples"],"input_types":["text","voice"],"output_types":["text","voice"],"categories":["customer-support","nlp"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_polyai__cap_1","uri":"capability://customer.support.context.aware.intent.recognition","name":"context-aware intent recognition","description":"Automatically identifies customer intent from conversations and learns from interactions to improve recognition over time. Understands nuanced requests without rigid scripting or explicit rule definition.","intents":["I want the AI to understand what customers actually need without me writing scripts","I need the system to get smarter as it handles more conversations","I want to reduce false intent matches that frustrate customers"],"best_for":["customer service teams","sales teams","support centers handling diverse request types"],"limitations":["requires sufficient conversation volume to learn effectively","initial setup requires some manual intent definition"],"requires":["conversation history","labeled intent examples"],"input_types":["text","voice"],"output_types":["intent classification","confidence scores"],"categories":["customer-support","nlp"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_polyai__cap_10","uri":"capability://customer.support.multi.channel.conversation.routing","name":"multi-channel conversation routing","description":"Manages customer conversations across multiple channels (voice, text, chat, messaging apps) with unified handling and context preservation. Routes conversations to appropriate channels based on customer preference and availability.","intents":["I want to support customers across phone, chat, email, and messaging apps","I need conversations to flow seamlessly if customers switch channels","I want unified customer experience regardless of channel"],"best_for":["omnichannel support teams","enterprises","customer service centers"],"limitations":["requires integration with multiple platforms","context preservation across channels has technical challenges"],"requires":["channel integrations","unified customer identity system"],"input_types":["voice","text","chat","messaging"],"output_types":["unified conversation logs","cross-channel interactions"],"categories":["customer-support","integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_polyai__cap_2","uri":"capability://customer.support.voice.based.customer.interaction","name":"voice-based customer interaction","description":"Enables natural voice conversations between customers and AI agents, supporting spoken language understanding and generation. Handles voice input/output with natural prosody and conversation flow.","intents":["I want customers to call and speak naturally to an AI agent","I need to reduce typing friction for phone-based customer service","I want voice interactions that sound natural, not robotic"],"best_for":["call centers","phone-based support teams","enterprises with voice-first customer bases"],"limitations":["requires good audio quality for optimal performance","background noise can reduce accuracy"],"requires":["voice infrastructure","telephony integration"],"input_types":["voice/audio"],"output_types":["voice/audio","text transcription"],"categories":["customer-support","voice"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_polyai__cap_3","uri":"capability://customer.support.text.based.customer.interaction","name":"text-based customer interaction","description":"Handles written customer inquiries through chat, messaging, or text channels. Maintains conversation context and provides coherent responses to complex multi-turn conversations.","intents":["I want to support customers through chat or messaging apps","I need an AI that can handle back-and-forth text conversations","I want to integrate conversational AI into my website or app"],"best_for":["web-based support teams","messaging app integrations","chat-first customer service"],"limitations":["text-only interactions may miss tone and urgency cues"],"requires":["chat platform integration","conversation history storage"],"input_types":["text"],"output_types":["text"],"categories":["customer-support","chatbot"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_polyai__cap_4","uri":"capability://customer.support.seamless.human.agent.handoff","name":"seamless human agent handoff","description":"Transfers conversations from AI to human agents while preserving full conversation context and history. Agents receive complete interaction records rather than starting conversations from scratch.","intents":["I want AI to handle simple issues but smoothly pass complex ones to humans","I need agents to see the full conversation history when they take over","I want to reduce customer frustration from having to repeat themselves"],"best_for":["hybrid support teams","enterprises with escalation workflows","customer service centers"],"limitations":["requires integration with agent systems","handoff timing must be configured appropriately"],"requires":["agent workforce","CRM or ticketing system integration","conversation context storage"],"input_types":["conversation history","customer data"],"output_types":["agent interface","conversation transcript"],"categories":["customer-support","workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_polyai__cap_5","uri":"capability://customer.support.conversation.design.and.configuration","name":"conversation design and configuration","description":"Provides interface for designing conversation flows, defining intents, and customizing AI behavior for specific use cases. Allows non-technical users to configure conversational logic without coding.","intents":["I want to customize how the AI responds to different customer scenarios","I need to define conversation paths for my specific business","I want to update conversation logic without involving developers"],"best_for":["customer service managers","business analysts","support team leads"],"limitations":["complex custom logic may still require technical support","setup requires domain expertise about customer interactions"],"requires":["understanding of customer service workflows","time investment in configuration"],"input_types":["configuration parameters","intent definitions"],"output_types":["conversation flows","behavior rules"],"categories":["customer-support","configuration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_polyai__cap_6","uri":"capability://customer.support.contextual.conversation.memory","name":"contextual conversation memory","description":"Maintains conversation context across multiple turns, remembering customer details, previous requests, and interaction history. Uses this context to provide personalized and coherent responses.","intents":["I want the AI to remember what the customer said earlier in the conversation","I need the AI to reference previous interactions with this customer","I want personalized responses based on customer history"],"best_for":["customer service teams","sales teams","support centers"],"limitations":["context window has limits on conversation length","requires data storage for conversation history"],"requires":["conversation history storage","customer data integration"],"input_types":["conversation history","customer profile data"],"output_types":["contextual responses","personalized interactions"],"categories":["customer-support","nlp"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_polyai__cap_7","uri":"capability://customer.support.complex.query.resolution","name":"complex query resolution","description":"Handles sophisticated, multi-faceted customer inquiries that require understanding of context, nuance, and domain-specific knowledge. Avoids simple pattern matching and provides thoughtful responses to ambiguous requests.","intents":["I need the AI to handle nuanced customer questions, not just FAQs","I want the system to understand complex requests that don't fit standard categories","I need intelligent handling of edge cases and unusual scenarios"],"best_for":["enterprises with complex products/services","technical support teams","high-touch customer service"],"limitations":["requires training on domain-specific knowledge","very novel queries may still need human intervention"],"requires":["domain knowledge base","training data","conversation examples"],"input_types":["text","voice"],"output_types":["text","voice","recommendations"],"categories":["customer-support","nlp"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_polyai__cap_8","uri":"capability://customer.support.conversation.analytics.and.learning","name":"conversation analytics and learning","description":"Analyzes conversation patterns, identifies common issues, and learns from interactions to improve future performance. Provides insights into customer needs and AI performance metrics.","intents":["I want to understand what customers are asking about most","I need to identify gaps where the AI is failing","I want data-driven insights to improve my customer service"],"best_for":["customer service managers","data analysts","product teams"],"limitations":["requires sufficient conversation volume for meaningful insights","privacy regulations may limit data analysis"],"requires":["conversation data","analytics infrastructure"],"input_types":["conversation logs","interaction data"],"output_types":["analytics dashboards","performance metrics","insights reports"],"categories":["customer-support","analytics"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_polyai__cap_9","uri":"capability://sales.sales.focused.conversation.handling","name":"sales-focused conversation handling","description":"Optimizes conversational AI for sales interactions, including lead qualification, product recommendations, and sales objection handling. Guides conversations toward conversion while maintaining natural dialogue.","intents":["I want AI to qualify leads and identify sales opportunities","I need the AI to recommend products based on customer needs","I want to automate initial sales conversations"],"best_for":["sales teams","e-commerce businesses","B2B companies"],"limitations":["requires sales process definition","complex deals may need human sales involvement"],"requires":["product catalog","sales process documentation","CRM integration"],"input_types":["customer inquiries","product data"],"output_types":["recommendations","qualified leads","sales conversations"],"categories":["sales","customer-support"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":47,"verified":false,"data_access_risk":"low","permissions":["customer conversation data","language-specific training examples","conversation history","labeled intent examples","channel integrations","unified customer identity system","voice infrastructure","telephony integration","chat platform integration","conversation history storage"],"failure_modes":["requires training data in target languages for optimal performance","some rare languages may have reduced accuracy","requires sufficient conversation volume to learn effectively","initial setup requires some manual intent definition","requires integration with multiple platforms","context preservation across channels has technical challenges","requires good audio quality for optimal performance","background noise can reduce accuracy","text-only interactions may miss tone and urgency cues","requires integration with agent systems","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.43333333333333335,"quality":0.86,"ecosystem":0.25,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:32.437Z","last_scraped_at":"2026-04-05T13:23:42.536Z","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=polyai","compare_url":"https://unfragile.ai/compare?artifact=polyai"}},"signature":"MiM9bg6YpiePcoBP+YCxVskCW0odyhV/M8mOWnuZalz28N0NoIpahw5Uklb89LrFi67NQuVwcV7cJuJOG4lFDA==","signedAt":"2026-06-21T01:22:12.211Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/polyai","artifact":"https://unfragile.ai/polyai","verify":"https://unfragile.ai/api/v1/verify?slug=polyai","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"}}