{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_hear","slug":"hear","name":"Hear","type":"product","url":"https://hear.ai","page_url":"https://unfragile.ai/hear","categories":["chatbots-assistants"],"tags":[],"pricing":{"model":"paid","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_hear__cap_0","uri":"capability://customer.support.automatic.conversation.categorization.and.tagging","name":"automatic conversation categorization and tagging","description":"Analyzes incoming customer support conversations and automatically assigns relevant categories, tags, and classifications based on content. This enables intelligent organization of support tickets without manual review.","intents":["I want to automatically sort support tickets by issue type without manual effort","I need to understand the distribution of customer problems across categories","I want to route tickets to the right team based on issue classification"],"best_for":["mid-market support teams","enterprise support operations","high-volume support centers"],"limitations":["May struggle with ambiguous or multi-topic conversations","Requires training data to learn organization-specific categories","Less effective for novel or unprecedented issue types"],"requires":["Integration with helpdesk platform","Historical conversation data for training","Pre-defined category taxonomy"],"input_types":["text conversations","chat transcripts","email threads"],"output_types":["category tags","priority scores","routing recommendations"],"categories":["customer-support","automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_hear__cap_1","uri":"capability://customer.support.real.time.agent.response.suggestions","name":"real-time agent response suggestions","description":"Generates contextual AI-powered response suggestions for support agents during active customer conversations. Agents can accept, modify, or reject suggestions to maintain quality control while improving response speed.","intents":["I want to respond to customers faster without sacrificing quality","I need help drafting professional responses to common customer issues","I want to reduce the time agents spend typing responses"],"best_for":["support agents handling high ticket volumes","teams with variable experience levels","organizations prioritizing first-contact resolution"],"limitations":["AI suggestions may lack context in emotionally-charged situations","Requires agent override for complex or nuanced issues","May not capture brand voice or tone consistently"],"requires":["Real-time integration with chat/email platform","Agent training on when to override suggestions","Access to conversation history and customer context"],"input_types":["live customer messages","conversation context","customer history"],"output_types":["suggested response text","confidence scores","alternative suggestions"],"categories":["customer-support","ai-assistance"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_hear__cap_2","uri":"capability://customer.support.conversation.intelligence.and.insight.extraction","name":"conversation intelligence and insight extraction","description":"Analyzes customer conversations to extract actionable business insights including sentiment, intent, pain points, and trends. Provides dashboards and reports that reveal patterns across support interactions.","intents":["I want to understand what customers are really asking about and what frustrates them","I need to identify trends in customer issues to improve products","I want to measure customer satisfaction and sentiment from conversations"],"best_for":["support managers","product teams","customer success leaders","enterprise organizations"],"limitations":["Sentiment analysis may misinterpret sarcasm or cultural context","Requires sufficient conversation volume for trend detection","Insights are only as good as the underlying conversation data quality"],"requires":["Access to conversation history","Sufficient volume of conversations for statistical relevance","Integration with analytics/BI tools"],"input_types":["conversation transcripts","chat logs","email threads","call recordings"],"output_types":["sentiment scores","trend reports","insight dashboards","pain point summaries"],"categories":["customer-support","analytics","business-intelligence"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_hear__cap_3","uri":"capability://customer.support.intelligent.ticket.prioritization.and.routing","name":"intelligent ticket prioritization and routing","description":"Automatically prioritizes support tickets based on urgency, complexity, and customer value, then routes them to the most appropriate agent or team. Reduces manual triage overhead and ensures critical issues are addressed first.","intents":["I want to ensure urgent customer issues get handled first","I need to route tickets to agents with the right expertise","I want to reduce time spent on manual ticket assignment"],"best_for":["support operations managers","teams managing multiple support channels","organizations with specialized support tiers"],"limitations":["Routing accuracy depends on agent skill data being current","May not account for agent workload in real-time","Requires clear prioritization rules to be effective"],"requires":["Agent skill/expertise mapping","Customer value/tier data","Defined prioritization rules","Integration with helpdesk system"],"input_types":["ticket content","customer metadata","agent availability data"],"output_types":["priority scores","routing assignments","queue recommendations"],"categories":["customer-support","automation","workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_hear__cap_4","uri":"capability://customer.support.multi.channel.conversation.aggregation","name":"multi-channel conversation aggregation","description":"Consolidates customer conversations from multiple support channels (email, chat, social media, etc.) into a unified view. Provides agents with complete conversation history regardless of channel.","intents":["I want to see all customer interactions in one place","I need to understand the full customer journey across channels","I want agents to have context from previous conversations on any channel"],"best_for":["organizations with omnichannel support","teams managing multiple communication platforms","customer-centric support operations"],"limitations":["Integration complexity increases with number of channels","May have latency in aggregating real-time conversations","Requires proper data mapping across different channel formats"],"requires":["Integrations with multiple helpdesk/communication platforms","Unified customer identity resolution","Data synchronization infrastructure"],"input_types":["email messages","chat transcripts","social media messages","call logs"],"output_types":["unified conversation timeline","channel-agnostic customer view","cross-channel analytics"],"categories":["customer-support","integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_hear__cap_5","uri":"capability://customer.support.first.contact.resolution.optimization","name":"first-contact resolution optimization","description":"Analyzes conversations to identify opportunities for resolving issues on first contact and provides agents with suggested solutions and knowledge base articles. Tracks and reports on first-contact resolution rates.","intents":["I want to resolve customer issues without escalation or follow-up","I need to know which knowledge base articles are most relevant to this issue","I want to measure and improve our first-contact resolution rate"],"best_for":["support teams focused on efficiency","organizations with mature knowledge bases","teams with performance metrics around FCR"],"limitations":["Effectiveness depends on quality and completeness of knowledge base","Complex issues may not have first-contact solutions","Requires agent training to use suggestions effectively"],"requires":["Comprehensive knowledge base","Historical resolution data","Integration with knowledge management system"],"input_types":["customer inquiries","knowledge base articles","resolution history"],"output_types":["relevant knowledge articles","solution suggestions","FCR metrics and reports"],"categories":["customer-support","knowledge-management"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_hear__cap_6","uri":"capability://customer.support.average.handling.time.reduction","name":"average handling time reduction","description":"Tracks and optimizes the time agents spend on each conversation through AI suggestions, automation, and performance analytics. Identifies bottlenecks and provides recommendations to improve efficiency.","intents":["I want to reduce the time agents spend per ticket","I need to identify which types of issues take longest to resolve","I want to benchmark agent performance and find improvement opportunities"],"best_for":["support operations managers","teams with high-volume ticket handling","organizations optimizing for cost efficiency"],"limitations":["Reducing AHT too aggressively can harm quality","May not account for quality metrics when optimizing speed","Requires balanced approach to avoid agent burnout"],"requires":["Conversation timing data","Agent performance metrics","Quality assurance data"],"input_types":["conversation logs with timestamps","agent activity data","quality scores"],"output_types":["AHT metrics","performance reports","optimization recommendations"],"categories":["customer-support","analytics","optimization"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_hear__cap_7","uri":"capability://customer.support.helpdesk.platform.integration","name":"helpdesk platform integration","description":"Seamlessly integrates with existing helpdesk and ticketing systems without requiring platform replacement. Operates as an overlay that enhances existing workflows and tools.","intents":["I want to add AI capabilities without replacing our current helpdesk system","I need minimal disruption to our existing support workflows","I want to leverage our existing helpdesk investment"],"best_for":["organizations with established helpdesk systems","teams wanting incremental AI adoption","enterprises with complex existing workflows"],"limitations":["Integration depth depends on helpdesk platform API capabilities","May have latency or sync issues with some platforms","Requires IT resources for initial setup and maintenance"],"requires":["Compatible helpdesk platform","API access and documentation","IT support for integration"],"input_types":["helpdesk API data","ticket information","agent profiles"],"output_types":["enriched ticket data","AI suggestions in helpdesk UI","analytics feeds"],"categories":["customer-support","integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_hear__cap_8","uri":"capability://customer.support.agent.performance.monitoring.and.coaching","name":"agent performance monitoring and coaching","description":"Monitors agent performance across conversations and provides insights on strengths and improvement areas. Enables managers to identify coaching opportunities and track agent development over time.","intents":["I want to understand which agents are performing well and which need coaching","I need to identify common mistakes or gaps in agent responses","I want to track agent improvement over time"],"best_for":["support managers","quality assurance teams","organizations with agent development programs"],"limitations":["May feel invasive to agents if not implemented with transparency","Metrics alone don't capture quality nuances","Requires human judgment to interpret and act on insights"],"requires":["Conversation data","Agent identification and tracking","Manager access to analytics"],"input_types":["agent conversations","resolution outcomes","customer feedback"],"output_types":["agent performance scores","coaching recommendations","development reports"],"categories":["customer-support","analytics","management"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_hear__cap_9","uri":"capability://customer.support.customer.satisfaction.and.feedback.analysis","name":"customer satisfaction and feedback analysis","description":"Analyzes customer feedback, surveys, and conversation sentiment to measure satisfaction levels and identify drivers of satisfaction or dissatisfaction. Provides actionable insights for improvement.","intents":["I want to understand what makes customers satisfied or dissatisfied","I need to measure customer satisfaction trends over time","I want to identify specific issues that are damaging customer relationships"],"best_for":["customer success teams","support managers","product teams","organizations focused on customer retention"],"limitations":["Sentiment analysis may not capture nuanced emotions","Requires sufficient feedback volume for statistical significance","Satisfaction drivers vary by customer segment"],"requires":["Customer feedback data","Conversation transcripts","Survey responses"],"input_types":["customer surveys","conversation transcripts","feedback comments","ratings"],"output_types":["satisfaction scores","trend reports","driver analysis","improvement recommendations"],"categories":["customer-support","analytics","customer-success"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":44,"verified":false,"data_access_risk":"high","permissions":["Integration with helpdesk platform","Historical conversation data for training","Pre-defined category taxonomy","Real-time integration with chat/email platform","Agent training on when to override suggestions","Access to conversation history and customer context","Access to conversation history","Sufficient volume of conversations for statistical relevance","Integration with analytics/BI tools","Agent skill/expertise mapping"],"failure_modes":["May struggle with ambiguous or multi-topic conversations","Requires training data to learn organization-specific categories","Less effective for novel or unprecedented issue types","AI suggestions may lack context in emotionally-charged situations","Requires agent override for complex or nuanced issues","May not capture brand voice or tone consistently","Sentiment analysis may misinterpret sarcasm or cultural context","Requires sufficient conversation volume for trend detection","Insights are only as good as the underlying conversation data quality","Routing accuracy depends on agent skill data being current","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.39999999999999997,"quality":0.82,"ecosystem":0.15000000000000002,"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":"2026-05-24T12:16:30.893Z","last_scraped_at":"2026-04-05T13:23:42.547Z","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=hear","compare_url":"https://unfragile.ai/compare?artifact=hear"}},"signature":"W72zDXSxOteZrA2vsuZ0zUHAzK6VPI+CjqHst5w0mE135h+QKETzqfjVob6ArskPFnouBlkX/zdtZ1ZB3Sk9BQ==","signedAt":"2026-06-20T06:38:15.648Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/hear","artifact":"https://unfragile.ai/hear","verify":"https://unfragile.ai/api/v1/verify?slug=hear","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"}}