{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_health-scanner","slug":"health-scanner","name":"Health Scanner","type":"webapp","url":"https://healthscanner.marvsai.com","page_url":"https://unfragile.ai/health-scanner","categories":["data-analysis"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_health-scanner__cap_0","uri":"capability://data.processing.analysis.multiformat.medical.record.ingestion.and.extraction","name":"multiformat medical record ingestion and extraction","description":"Accepts medical records in DICOM, PDF, image, and printed document formats via web upload or phone camera, automatically extracting structured health data (test results, prescriptions, diagnoses) using a combination of proprietary image neural networks for visual content and OCR-based text extraction. The system normalizes heterogeneous input formats into a unified internal representation for downstream AI analysis, handling variable image quality from phone photos to professional medical prints.","intents":["I need to upload my blood test results from a PDF and get AI analysis without manually typing values","I want to photograph my printed medical report and have the system extract and interpret the data","I need to upload DICOM imaging files from my healthcare provider for AI-assisted review"],"best_for":["individuals in regions with limited healthcare access seeking preliminary health guidance","users with existing medical records who want quick interpretation without scheduling appointments","non-technical users comfortable with web uploads who need accessibility across devices"],"limitations":["file size limits not documented — unclear maximum upload capacity","image quality thresholds for phone photos not specified — may fail on low-resolution or blurry images","extraction accuracy for handwritten medical notes unknown — likely poor for cursive or non-standard notation","no batch processing capability documented — single-file uploads only","DICOM support claimed but no specification of supported DICOM versions or modalities"],"requires":["web browser with file upload capability","medical records in DICOM, PDF, image (JPG/PNG), or printed format","email account or Metamask crypto wallet for authentication","internet connection for cloud-based processing"],"input_types":["DICOM medical imaging files","PDF documents (scanned or native)","image files (JPG, PNG from phone camera or scanner)","printed medical records (photographed)"],"output_types":["structured health data (test values, medication lists, diagnoses)","indexed medical record stored in system for chatbot querying","optional: detailed expert-reviewed report (human review)"],"categories":["data-processing-analysis","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_health-scanner__cap_1","uri":"capability://text.generation.language.ai.powered.medical.record.chatbot.with.multi.model.backend","name":"ai-powered medical record chatbot with multi-model backend","description":"Provides conversational Q&A interface over uploaded medical records using GPT-3.5, GPT-4, and Google Gemini as interchangeable backend models, with free tier restricted to GPT-3.5/Gemini and paid tier unlocking GPT-4 access. The system retrieves relevant sections from stored medical records in response to user queries, though the exact retrieval mechanism (RAG, semantic search, or keyword matching) is undocumented. Supports 40 languages for query input and response generation.","intents":["I want to ask questions about my blood test results and get AI interpretation without scheduling a doctor","I need to understand what my medical records mean in my native language, not English","I want to compare my test results across multiple uploads and ask contextual questions about trends"],"best_for":["non-medical professionals seeking preliminary health information interpretation","multilingual users in underserved healthcare regions","individuals wanting quick clarification on test results before professional consultation"],"limitations":["context window size not documented — unclear how many records can be queried simultaneously or maximum query complexity","retrieval mechanism unknown — may use simple keyword matching rather than semantic understanding, reducing accuracy for complex medical queries","expert review language support unclear — 40-language input support may not extend to expert team review output","no integration with medical knowledge bases or clinical guidelines — relies purely on LLM training data","response latency not specified — cloud-based processing may introduce variable delays","no conversation history persistence documented — unclear if multi-turn conversations maintain context across sessions"],"requires":["medical records previously uploaded to Health Scanner system","email or Metamask authentication","free tier: GPT-3.5 or Gemini access; paid tier: GPT-4 access","internet connection for real-time API calls to OpenAI/Google"],"input_types":["natural language questions in 40 supported languages","follow-up queries referencing previously discussed medical data"],"output_types":["natural language responses in user's input language","interpretation of medical values and test results","contextual health information based on uploaded records"],"categories":["text-generation-language","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_health-scanner__cap_10","uri":"capability://tool.use.integration.model.selection.and.tiered.access.control","name":"model selection and tiered access control","description":"Implements pricing-based access control to AI models, with free tier restricted to GPT-3.5 and Google Gemini, while paid tier unlocks GPT-4 access. Users can select which model to use for analysis (if multiple are available in their tier), with model choice affecting response quality and potentially latency. The pricing structure and tier definitions are not publicly documented.","intents":["I want to use GPT-4 for more accurate medical analysis but need to understand the cost","I want to compare analysis from different AI models (GPT-3.5 vs GPT-4) to verify accuracy","I need to understand what model I'm using and how it affects analysis quality"],"best_for":["users willing to pay for higher-quality AI analysis using GPT-4","technical users wanting to understand model differences and their impact on health analysis","users seeking cost-effective analysis using free tier models"],"limitations":["pricing not documented — no public pricing page or tier definitions","model selection UI not documented — unclear if users can choose models or if selection is automatic","model performance differences not quantified — no benchmarks showing GPT-4 vs GPT-3.5 accuracy for medical analysis","free tier restrictions not fully specified — unclear what other features (expert review, privacy mode) are restricted","upgrade path not documented — unclear how users transition from free to paid or what triggers paywall","model switching limitations unknown — unclear if users can switch models mid-conversation or must restart","latency differences not specified — unclear if GPT-4 has higher latency than GPT-3.5"],"requires":["free tier: email or Metamask authentication","paid tier: subscription or payment method (details unknown)"],"input_types":["model selection preference (if available)","medical records and queries"],"output_types":["AI analysis using selected model","responses with quality/accuracy dependent on model choice"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_health-scanner__cap_11","uri":"capability://data.processing.analysis.nhs.app.integration.and.uk.specific.medical.record.support","name":"nhs app integration and uk-specific medical record support","description":"Supports analysis of NHS app screenshots and UK-specific medical record formats, enabling British users to upload records directly from the NHS digital health platform. The system recognizes NHS-specific data structures and can extract information from NHS app screenshots without requiring manual transcription.","intents":["I want to upload my NHS app records and get AI analysis without manually copying data","I have a screenshot from my NHS app and want to understand my medical information","I'm a UK patient and want to use my digital NHS records with Health Scanner"],"best_for":["UK patients with NHS digital health accounts","British users wanting to leverage existing NHS app data","NHS app users seeking preliminary analysis before GP consultation"],"limitations":["NHS app format support not documented — unclear which NHS app versions or data types are supported","screenshot extraction accuracy not verified — may fail on different screen resolutions or NHS app updates","NHS integration scope limited to screenshots — no direct API integration with NHS systems","UK-specific medical context not documented — unclear if analysis accounts for NHS guidelines or UK disease prevalence","data portability from NHS to Health Scanner — unclear if NHS data is duplicated or linked","NHS data retention policies — unclear how NHS data is handled differently from other records"],"requires":["NHS app account and access to digital health records","ability to screenshot NHS app or export records","UK-based user (inferred from NHS focus)"],"input_types":["NHS app screenshots","UK-specific medical record formats"],"output_types":["extracted NHS data in Health Scanner format","AI analysis of NHS records"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_health-scanner__cap_12","uri":"capability://text.generation.language.psychiatrist.ai.consultation.upcoming.feature","name":"psychiatrist ai consultation (upcoming feature)","description":"Announced but not yet live feature providing AI-based psychiatric consultation and mental health analysis. The system will analyze mental health symptoms and provide preliminary psychiatric guidance, though implementation details, model architecture, and launch timeline are undocumented. Feature status is 'coming soon' with no ETA.","intents":["I want AI-based mental health assessment and psychiatric guidance","I need preliminary psychiatric consultation in regions with limited mental health professionals","I want to understand my mental health symptoms before seeing a psychiatrist"],"best_for":["users in regions with severe mental health professional shortage","individuals seeking preliminary mental health assessment","users wanting to understand psychiatric symptoms before professional consultation"],"limitations":["feature not yet live — 'will soon be online' indicates vaporware risk","no launch timeline provided — unclear when feature will be available","model architecture not documented — unclear if using specialized psychiatric models or general LLMs","psychiatric liability not addressed — no documentation of how psychiatric AI differs from medical AI in liability","crisis intervention not documented — unclear if system can identify and respond to mental health emergencies","medication interaction with mental health not specified — unclear if psychiatric analysis integrates with medication data","cultural sensitivity for mental health not documented — unclear if accounting for cultural differences in mental health","no evidence of psychiatric expert involvement — unclear if psychiatrists are involved in model development or review"],"requires":["feature to be released (currently unavailable)","mental health symptom information or psychiatric history"],"input_types":["mental health symptoms and psychiatric history (inferred)"],"output_types":["psychiatric assessment and guidance (inferred)","mental health recommendations (inferred)"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_health-scanner__cap_2","uri":"capability://data.processing.analysis.drug.interaction.and.medication.safety.checking","name":"drug interaction and medication safety checking","description":"Analyzes uploaded medical records and user queries to identify potential drug-drug interactions, contraindications, and medication safety concerns by cross-referencing extracted medication lists against an undocumented drug interaction database. The system integrates with the chatbot interface, allowing users to ask about specific medication combinations or receive proactive warnings based on their prescription history.","intents":["I want to check if my new prescription interacts with my existing medications before filling it","I need to understand potential side effects of my medication combination","I'm taking multiple medications from different doctors and want to verify they're safe together"],"best_for":["patients managing multiple medications from different healthcare providers","individuals in regions with limited pharmacist access seeking medication safety verification","users wanting preliminary safety checks before professional consultation"],"limitations":["drug interaction database source not documented — unclear if using FDA, WHO, or proprietary data","interaction severity classification not specified — unclear how critical vs minor interactions are communicated","medication extraction accuracy depends on prior OCR/DICOM parsing — errors in record extraction cascade to interaction checking","no real-time drug database updates documented — may miss newly-discovered interactions or withdrawn medications","dosage-aware interaction checking not confirmed — may not account for dose-dependent interactions","supplement and OTC medication coverage unknown — likely focused on prescription drugs only"],"requires":["medical records with medication lists previously uploaded","medications clearly documented in extracted records (prescriptions, medication lists)","access to chatbot interface"],"input_types":["extracted medication lists from medical records","user queries about specific drug combinations"],"output_types":["interaction warnings with severity levels (inferred)","contraindication alerts","natural language explanations of safety concerns"],"categories":["data-processing-analysis","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_health-scanner__cap_3","uri":"capability://data.processing.analysis.blood.test.result.interpretation.and.analysis","name":"blood test result interpretation and analysis","description":"Analyzes extracted blood test values from medical records using LLM-based interpretation, providing context-aware explanations of test results (normal/abnormal ranges, clinical significance, potential causes of abnormalities). The system compares values against reference ranges and generates natural language summaries of findings, supporting multi-test analysis when multiple lab reports are uploaded.","intents":["I received blood test results and don't understand what the numbers mean or if they're concerning","I want to compare my current blood test to previous results and understand trends","I need to know what abnormal blood values might indicate before seeing my doctor"],"best_for":["non-medical professionals receiving lab results without physician explanation","patients in regions with limited access to pathologists or lab consultants","individuals seeking preliminary understanding of test results before professional interpretation"],"limitations":["reference ranges may not account for patient demographics (age, sex, ethnicity) — could produce inaccurate normal/abnormal classifications","clinical context from medical history may be incomplete — interpretation based only on extracted records, not full patient history","no integration with clinical guidelines — interpretations based on LLM training data, not evidence-based protocols","multi-test correlation analysis not confirmed — unclear if system identifies patterns across multiple test types","temporal analysis limitations — unclear if system tracks trends across multiple test dates or only analyzes single results","medication interaction with test values not documented — may miss drug-induced abnormalities"],"requires":["blood test results in uploaded medical records (PDF, image, or DICOM format)","test values clearly extracted and structured by ingestion pipeline","access to chatbot interface for querying results"],"input_types":["blood test reports (CBC, metabolic panel, lipid panel, etc.)","extracted lab values with units and reference ranges","user queries about specific test results"],"output_types":["natural language interpretation of test values","normal/abnormal classification with clinical significance","potential causes of abnormalities (inferred)","trend analysis across multiple tests (if available)"],"categories":["data-processing-analysis","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_health-scanner__cap_4","uri":"capability://planning.reasoning.expert.team.medical.review.and.report.generation","name":"expert team medical review and report generation","description":"Offers optional human expert review of uploaded medical records and AI analysis, with a licensed medical team generating detailed reports that synthesize AI findings with professional clinical judgment. The exact workflow (manual review, AI-assisted review, or hybrid) is undocumented, as are SLAs, pricing, and which medical specialties are available. Reports are generated asynchronously with unknown turnaround time.","intents":["I want a licensed medical professional to review my records and provide expert opinion, not just AI analysis","I need a detailed medical report for insurance, employment, or legal purposes that carries professional credibility","I want AI analysis verified by a human expert before making health decisions"],"best_for":["users requiring professional medical credibility for reports (insurance claims, employment physicals)","individuals with complex medical histories wanting expert synthesis of multiple records","patients in regions with limited specialist access seeking remote expert consultation"],"limitations":["pricing not documented — unclear if included in free tier or premium-only feature","turnaround time not specified — 'detailed report created by expert team' has no SLA","expert qualifications not documented — unclear if licensed physicians, nurse practitioners, or other credentials","medical specialty availability unknown — unclear which specialties (cardiology, endocrinology, etc.) are covered","liability and accountability unclear — no documentation of professional liability insurance or malpractice coverage","language support for expert review unknown — 40-language input support may not extend to expert output","report format and legal validity not specified — unclear if reports are admissible for medical-legal purposes","capacity constraints likely — manual review component suggests queue delays at scale"],"requires":["medical records uploaded and analyzed via AI chatbot","likely: paid subscription or premium tier access (pricing unknown)","expert review request submission (mechanism not documented)"],"input_types":["AI analysis and chatbot conversation history","uploaded medical records","user-specified review scope or questions"],"output_types":["detailed medical report with expert findings","professional recommendations and next steps","synthesis of AI analysis with clinical expertise","report format suitable for medical-legal use (inferred)"],"categories":["planning-reasoning","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_health-scanner__cap_5","uri":"capability://safety.moderation.privacy.mode.data.handling.with.no.retention","name":"privacy-mode data handling with no retention","description":"Offers optional 'privacy mode' for medical record uploads where the system claims to process records without retaining them in persistent storage, addressing user concerns about sensitive health data being stored long-term. The technical implementation (in-memory processing, immediate deletion, encryption) is undocumented, and retention policies for standard mode are not disclosed.","intents":["I want to get AI analysis of my medical records without my data being stored on company servers","I need to upload sensitive health information but don't want it retained for future use or data mining","I'm concerned about privacy and want assurance my records are deleted after analysis"],"best_for":["privacy-conscious users in regions with strict data protection regulations (GDPR, HIPAA)","individuals with sensitive medical conditions (HIV, mental health, reproductive health) seeking minimal data footprint","users distrustful of cloud storage for health data"],"limitations":["technical implementation not documented — unclear if in-memory processing, immediate deletion, or encryption-at-rest","no third-party audit or certification provided — privacy claims unverified","standard mode retention policy not disclosed — unclear how long records are kept in non-privacy mode","HIPAA compliance claimed but not verified — no certification documentation provided","GDPR compliance not explicitly stated — unclear if compliant with EU data protection requirements","expert review incompatibility — privacy mode likely incompatible with human expert review (requires record retention)","chatbot history retention unknown — unclear if conversation logs are retained even in privacy mode","no data deletion confirmation provided — users cannot verify records were actually deleted"],"requires":["explicit selection of 'privacy mode' during upload (mechanism not documented)","acceptance of potential limitations (e.g., no expert review, no record history)"],"input_types":["medical records in any supported format (DICOM, PDF, image, print)"],"output_types":["AI analysis and chatbot responses","no persistent record storage (claimed)"],"categories":["safety-moderation","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_health-scanner__cap_6","uri":"capability://text.generation.language.multilingual.medical.analysis.and.response.generation","name":"multilingual medical analysis and response generation","description":"Supports medical record uploads and AI analysis in 40 languages, with the system accepting queries and generating responses in user's native language. Language support extends to both input processing (record extraction, query understanding) and output generation (chatbot responses, interpretations), though expert review language coverage is undocumented.","intents":["I need to upload medical records in my native language and get analysis without English translation","I want to ask questions about my health in my preferred language and receive responses I can understand","I'm in a non-English-speaking region and need health AI that doesn't require English proficiency"],"best_for":["non-English-speaking users in underserved healthcare regions","multilingual individuals preferring native language for health discussions","populations in countries where English is not widely spoken (Southeast Asia, Africa, Latin America)"],"limitations":["40 supported languages not specified — unclear which languages are included (likely major languages only)","expert review language support unknown — human experts may only review English records","medical terminology translation accuracy not verified — LLM translation of clinical terms may be inaccurate","cultural context in health interpretation not documented — AI may not account for regional health practices or disease prevalence","OCR accuracy for non-Latin scripts not specified — image extraction may fail for Arabic, Chinese, Cyrillic, etc.","reference ranges may not be localized — lab values may use different units or ranges in different regions"],"requires":["medical records in one of 40 supported languages","language selection during upload or query (mechanism not documented)"],"input_types":["medical records in 40 supported languages","natural language queries in any supported language"],"output_types":["AI analysis and chatbot responses in user's language","interpretation of medical data with language-appropriate explanations"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_health-scanner__cap_7","uri":"capability://data.processing.analysis.knowledge.graph.based.medical.text.analysis","name":"knowledge graph-based medical text analysis","description":"Processes extracted medical text from records using proprietary knowledge graphs to identify relationships between symptoms, diagnoses, medications, and conditions. The system maps unstructured medical narrative to structured knowledge representations, enabling contextual understanding of medical information beyond simple keyword matching or LLM pattern recognition.","intents":["I want the system to understand relationships between my symptoms and diagnoses, not just list them separately","I need analysis that recognizes how my medications relate to my conditions and potential side effects","I want the system to identify patterns across my medical history that might indicate underlying conditions"],"best_for":["patients with complex medical histories involving multiple interconnected conditions","individuals seeking pattern recognition across disparate medical records","users wanting AI analysis that understands medical relationships, not just isolated facts"],"limitations":["knowledge graph construction methodology not documented — unclear if manually curated, automatically generated, or hybrid","coverage of medical conditions unknown — likely limited to common conditions, missing rare diseases","relationship accuracy not verified — knowledge graph may contain incorrect or outdated medical relationships","integration with LLM analysis unclear — unknown how knowledge graphs influence chatbot responses","updates to medical knowledge not documented — unclear if graph reflects latest clinical guidelines","no transparency into graph structure — users cannot verify what relationships are being used for analysis"],"requires":["medical records with narrative text (not just structured lab values)","successful extraction of medical concepts from records"],"input_types":["medical narratives and clinical notes from records","extracted diagnoses, symptoms, and medications"],"output_types":["structured relationships between medical concepts","contextual analysis informed by knowledge graph","pattern identification across medical history"],"categories":["data-processing-analysis","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_health-scanner__cap_8","uri":"capability://data.processing.analysis.regional.health.context.and.allergy.recommendations","name":"regional health context and allergy recommendations","description":"Analyzes user symptoms and medical history to provide region-specific health recommendations, including localized allergy information based on geographic prevalence of allergens and environmental factors. The system infers user location (likely from IP or explicit input) and tailors health guidance to regional disease prevalence, seasonal patterns, and common allergens.","intents":["I'm experiencing allergy symptoms and want to know what allergens are common in my region","I want health recommendations tailored to the diseases and conditions prevalent in my area","I need to understand how seasonal and environmental factors in my region affect my health"],"best_for":["users in specific geographic regions seeking localized health information","individuals with allergies wanting region-specific allergen identification","patients in areas with endemic diseases seeking relevant health guidance"],"limitations":["location inference method not documented — unclear if using IP geolocation, user input, or other methods","regional allergen database source not specified — unclear if using WHO, national health agencies, or proprietary data","seasonal pattern accuracy not verified — recommendations may be outdated or inaccurate for specific regions","endemic disease coverage unknown — likely limited to common diseases, missing rare regional conditions","climate and environmental data integration not documented — unclear if accounting for local weather, air quality, etc.","no user control over location — unclear if users can override inferred location or specify regions"],"requires":["user location (inferred from IP or explicitly provided)","medical history and symptom information from uploaded records"],"input_types":["user symptoms and medical history","geographic location (implicit or explicit)"],"output_types":["region-specific allergen recommendations","localized health guidance based on disease prevalence","seasonal and environmental health considerations"],"categories":["data-processing-analysis","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_health-scanner__cap_9","uri":"capability://tool.use.integration.authentication.via.email.and.cryptocurrency.wallet","name":"authentication via email and cryptocurrency wallet","description":"Provides dual authentication pathways: traditional email login and Metamask cryptocurrency wallet integration. Users can authenticate using either method, with wallet login enabling anonymous access and potential integration with blockchain-based reward systems (mechanism undocumented). Email authentication likely uses standard OAuth or password-based flows.","intents":["I want to use Health Scanner anonymously without providing personal email information","I prefer cryptocurrency wallet authentication for privacy and decentralization","I want to earn rewards for using the platform and need wallet integration for token distribution"],"best_for":["privacy-conscious users preferring anonymous authentication","cryptocurrency-native users comfortable with wallet-based login","users in regions with limited email infrastructure or privacy concerns about email providers"],"limitations":["Metamask wallet recovery not documented — unclear what happens if user loses wallet access","reward system mechanism not documented — 'earn rewards for using platform' lacks implementation details","email authentication security not specified — unclear if using 2FA, password requirements, or other protections","account recovery process not documented — unclear how users recover access if authentication fails","wallet address privacy not specified — unclear if wallet addresses are logged or linked to medical records","multi-device authentication not documented — unclear if users can access accounts from multiple devices","session management not specified — unclear how long sessions persist or if automatic logout occurs"],"requires":["email address (for email authentication) OR Metamask wallet (for crypto authentication)","web browser with Metamask extension (for wallet login)","internet connection for authentication"],"input_types":["email and password (email auth) OR wallet signature (Metamask auth)"],"output_types":["authenticated session with access to medical records and chatbot","potential reward tokens (mechanism unknown)"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":40,"verified":false,"data_access_risk":"high","permissions":["web browser with file upload capability","medical records in DICOM, PDF, image (JPG/PNG), or printed format","email account or Metamask crypto wallet for authentication","internet connection for cloud-based processing","medical records previously uploaded to Health Scanner system","email or Metamask authentication","free tier: GPT-3.5 or Gemini access; paid tier: GPT-4 access","internet connection for real-time API calls to OpenAI/Google","free tier: email or Metamask authentication","paid tier: subscription or payment method (details unknown)"],"failure_modes":["file size limits not documented — unclear maximum upload capacity","image quality thresholds for phone photos not specified — may fail on low-resolution or blurry images","extraction accuracy for handwritten medical notes unknown — likely poor for cursive or non-standard notation","no batch processing capability documented — single-file uploads only","DICOM support claimed but no specification of supported DICOM versions or modalities","context window size not documented — unclear how many records can be queried simultaneously or maximum query complexity","retrieval mechanism unknown — may use simple keyword matching rather than semantic understanding, reducing accuracy for complex medical queries","expert review language support unclear — 40-language input support may not extend to expert team review output","no integration with medical knowledge bases or clinical guidelines — relies purely on LLM training data","response latency not specified — cloud-based processing may introduce variable delays","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.31666666666666665,"quality":0.72,"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":"2026-04-05T13:23:42.560Z","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=health-scanner","compare_url":"https://unfragile.ai/compare?artifact=health-scanner"}},"signature":"34gxU2jWkjKbidq79JjQ3X01z60xiKYWj38Z8icPKOgs0q+QpQ1AO6QLcOFw7IUDBRQwgzWFHTEUYDT7pQRKBQ==","signedAt":"2026-06-20T16:30:26.562Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/health-scanner","artifact":"https://unfragile.ai/health-scanner","verify":"https://unfragile.ai/api/v1/verify?slug=health-scanner","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"}}