{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_earkick","slug":"earkick","name":"Earkick","type":"product","url":"https://earkick.com","page_url":"https://unfragile.ai/earkick","categories":["data-analysis"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"inactive","verified":false},"capabilities":[{"id":"tool_earkick__cap_0","uri":"capability://healthcare.real.time.burnout.risk.detection","name":"real-time burnout risk detection","description":"Continuously monitors employee mental health signals and behavioral patterns to identify burnout risk in real-time rather than waiting for periodic surveys. Detects deteriorating mental health trends before they escalate into serious issues.","intents":["I want to catch burnout early before employees leave","I need to identify which team members are at risk right now","I want to move beyond annual surveys that are outdated by the time results come back"],"best_for":["HR managers at mid-to-large organizations","organizational leaders focused on retention","companies with existing mental health initiatives"],"limitations":["Relies on self-reported data quality which varies by organizational culture","Requires voluntary employee participation and engagement","Cannot detect issues from employees who don't actively use the tool","Accuracy depends on employees being honest about their mental state"],"requires":["Employee participation and willingness to share mental health data","Organizational commitment to act on insights","Clear communication about data privacy and anonymity"],"input_types":["self-reported mental health assessments","behavioral engagement signals","employee wellness check-ins"],"output_types":["burnout risk scores","risk level classifications","trend indicators"],"categories":["healthcare","employee wellness","risk detection"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_earkick__cap_1","uri":"capability://healthcare.personalized.wellness.intervention.generation","name":"personalized wellness intervention generation","description":"Generates specific, actionable suggestions tailored to individual employees based on their detected mental health risks and patterns. Provides concrete recommendations rather than generic wellness advice.","intents":["I want specific things I can do today to reduce my stress","I need personalized suggestions that actually apply to my situation","I want actionable next steps, not just a problem diagnosis"],"best_for":["individual employees seeking wellness support","managers looking for concrete interventions to suggest","organizations wanting to reduce decision fatigue around wellness"],"limitations":["Effectiveness depends on employee willingness to implement suggestions","Generic suggestions may not work for all organizational contexts","Requires follow-through from both employee and potentially manager"],"requires":["Individual mental health risk assessment data","Understanding of employee's work context and constraints"],"input_types":["burnout risk scores","mental health assessment results","employee profile data"],"output_types":["personalized wellness recommendations","actionable intervention suggestions","prioritized action items"],"categories":["healthcare","employee wellness","personalization"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_earkick__cap_2","uri":"capability://healthcare.mental.health.trend.analysis.and.reporting","name":"mental health trend analysis and reporting","description":"Tracks mental health patterns over time at individual and organizational levels, generating reports that show how burnout risk and wellness metrics are changing. Provides visibility into organizational mental health trends.","intents":["I want to see if our mental health initiatives are actually working","I need data on how employee wellness is trending across the company","I want to understand patterns in burnout across teams or departments"],"best_for":["HR leaders and organizational decision-makers","wellness program managers evaluating effectiveness","executives tracking employee wellbeing metrics"],"limitations":["Trends require sufficient historical data to be meaningful","Organizational changes may make year-over-year comparisons difficult","Cannot account for external factors affecting mental health"],"requires":["Continuous data collection over time","Sufficient employee participation for statistical significance","Access to historical mental health assessment data"],"input_types":["time-series mental health assessments","burnout risk scores over time","employee engagement data"],"output_types":["trend reports","analytics dashboards","comparative metrics","historical trend visualizations"],"categories":["healthcare","analytics","reporting"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_earkick__cap_3","uri":"capability://healthcare.early.warning.system.for.employee.mental.health.crises","name":"early warning system for employee mental health crises","description":"Identifies employees showing critical mental health warning signs or rapid deterioration that may indicate imminent crisis or high turnover risk. Alerts managers or HR to intervene proactively.","intents":["I want to know immediately if an employee is in crisis","I need alerts when someone's mental health is rapidly declining","I want to prevent unexpected resignations by catching problems early"],"best_for":["HR teams managing employee retention","managers responsible for direct reports","organizations with high turnover concerns"],"limitations":["Requires clear thresholds for what constitutes a 'warning' that may vary by individual","False positives may lead to unnecessary interventions","Depends on employees being honest about their mental state","Privacy concerns may limit how aggressively alerts are surfaced"],"requires":["Real-time monitoring of mental health signals","Defined alert thresholds and escalation procedures","Manager training on how to respond to alerts appropriately"],"input_types":["real-time mental health assessments","behavioral change signals","engagement pattern changes"],"output_types":["alert notifications","risk severity indicators","recommended intervention actions"],"categories":["healthcare","risk management","employee retention"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_earkick__cap_4","uri":"capability://healthcare.anonymous.mental.health.data.aggregation","name":"anonymous mental health data aggregation","description":"Collects and aggregates mental health data from employees while maintaining anonymity and privacy protections. Enables organizational-level insights without exposing individual identities.","intents":["I want to understand our organizational mental health without invading privacy","I need aggregate data that protects individual employee confidentiality","I want employees to feel safe sharing mental health information"],"best_for":["organizations with strong privacy concerns","companies in regulated industries","organizations building trust around mental health data collection"],"limitations":["Anonymization may limit ability to provide personalized interventions","Aggregate data may hide important subgroup patterns","Requires robust technical infrastructure to maintain anonymity"],"requires":["Privacy-preserving data collection and storage systems","Clear data governance policies","Transparent communication about anonymity protections"],"input_types":["individual mental health assessments","personal wellness data","employee survey responses"],"output_types":["anonymized aggregate reports","departmental wellness metrics","organizational health dashboards"],"categories":["healthcare","privacy","data management"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_earkick__cap_5","uri":"capability://healthcare.manager.guidance.for.mental.health.conversations","name":"manager guidance for mental health conversations","description":"Provides managers with guidance, talking points, and best practices for having supportive conversations with employees about mental health and wellness. Helps managers respond appropriately to mental health concerns.","intents":["I don't know how to talk to my team member about their mental health","I want to support my employee but don't want to overstep","I need guidance on what to say and what not to say"],"best_for":["managers without mental health training","first-time managers","organizations scaling mental health initiatives"],"limitations":["Cannot replace professional mental health training","Guidance may not apply to all cultural contexts","Managers may still lack confidence in difficult conversations"],"requires":["Manager willingness to engage with guidance","Organizational culture that supports mental health conversations","Clear boundaries about manager vs. professional responsibilities"],"input_types":["employee mental health risk data","situation context","manager queries"],"output_types":["conversation guidance","talking points","best practice recommendations","resource referrals"],"categories":["healthcare","training","management"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_earkick__cap_6","uri":"capability://business.model.freemium.pilot.program.enablement","name":"freemium pilot program enablement","description":"Provides a free tier that allows organizations to pilot the mental health monitoring tool with limited scope before committing to paid enterprise deployment. Enables low-risk evaluation and adoption.","intents":["I want to try this tool before spending money on it","I need to prove ROI to leadership before scaling","I want to test adoption and engagement with a small group first"],"best_for":["mid-to-large organizations evaluating new tools","companies with budget constraints","organizations wanting to test employee adoption"],"limitations":["Free tier may have limited features or user caps","Pilot results may not predict full-scale adoption","Freemium model may create adoption friction when upgrading"],"requires":["Willingness to commit to paid plan after pilot","Sufficient pilot group size to validate effectiveness","Clear upgrade path and pricing transparency"],"input_types":["organization profile","employee count","pilot scope parameters"],"output_types":["free tier access","limited feature set","usage analytics","upgrade recommendations"],"categories":["business model","sales enablement"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":42,"verified":false,"data_access_risk":"low","permissions":["Employee participation and willingness to share mental health data","Organizational commitment to act on insights","Clear communication about data privacy and anonymity","Individual mental health risk assessment data","Understanding of employee's work context and constraints","Continuous data collection over time","Sufficient employee participation for statistical significance","Access to historical mental health assessment data","Real-time monitoring of mental health signals","Defined alert thresholds and escalation procedures"],"failure_modes":["Relies on self-reported data quality which varies by organizational culture","Requires voluntary employee participation and engagement","Cannot detect issues from employees who don't actively use the tool","Accuracy depends on employees being honest about their mental state","Effectiveness depends on employee willingness to implement suggestions","Generic suggestions may not work for all organizational contexts","Requires follow-through from both employee and potentially manager","Trends require sufficient historical data to be meaningful","Organizational changes may make year-over-year comparisons difficult","Cannot account for external factors affecting mental health","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.39999999999999997,"quality":0.77,"ecosystem":0.15000000000000002,"match_graph":0.25,"freshness":0.5,"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":"inactive","updated_at":"2026-05-06T17:25:02.178Z","last_scraped_at":"2026-04-05T13:23:42.548Z","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=earkick","compare_url":"https://unfragile.ai/compare?artifact=earkick"}},"signature":"TewRX5N5/5VaNUQJGrrRHXfySYDw6r6Bnsa16C/3GuZU2+M1g6I1fKPZ9PN2jlu4tn+r9VPtDD2TmKEnMbcEBg==","signedAt":"2026-06-21T14:47:16.003Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/earkick","artifact":"https://unfragile.ai/earkick","verify":"https://unfragile.ai/api/v1/verify?slug=earkick","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"}}