{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_calypsoai","slug":"calypsoai","name":"CalypsoAI","type":"product","url":"https://calypsoai.com","page_url":"https://unfragile.ai/calypsoai","categories":["automation","observability"],"tags":[],"pricing":{"model":"paid","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_calypsoai__cap_0","uri":"capability://productivity.multi.model.ai.orchestration","name":"multi-model ai orchestration","description":"Coordinate and manage multiple AI models across different systems and vendors within a single platform. Routes requests to appropriate models, manages model versioning, and handles failover between different AI systems.","intents":["I need to run different AI models for different tasks without switching platforms","I want to manage multiple vendor AI systems from one control plane","I need to switch between models or update model versions without disrupting operations"],"best_for":["Enterprise organizations using multiple AI vendors","Teams managing heterogeneous AI infrastructure","Organizations wanting vendor lock-in reduction"],"limitations":["Requires integration setup with each AI model/vendor","Performance depends on underlying model quality","Limited public documentation on supported model types"],"requires":["Multiple AI models or vendor accounts to orchestrate","API access to target AI systems","Network connectivity to CalypsoAI platform"],"input_types":["API requests","model configuration metadata","routing policies"],"output_types":["unified API responses","orchestration logs","model performance metrics"],"categories":["productivity","enterprise"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_calypsoai__cap_1","uri":"capability://security.ai.security.and.access.control","name":"ai security and access control","description":"Implement role-based access controls, authentication, and authorization policies for AI systems and models. Manages who can access which models, what operations they can perform, and enforces security policies across the platform.","intents":["I need to restrict who can access sensitive AI models in our organization","I want to enforce security policies across all AI systems","I need to audit who accessed which models and when"],"best_for":["Regulated industries (healthcare, finance, government)","Organizations with strict data governance requirements","Enterprises with multiple teams needing different access levels"],"limitations":["Security posture depends on underlying infrastructure","May introduce latency for access control checks","Requires proper configuration to be effective"],"requires":["User identity management system","Defined access control policies","Integration with enterprise authentication systems"],"input_types":["user credentials","access control policies","role definitions"],"output_types":["access grants/denials","audit logs","security reports"],"categories":["security","enterprise"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_calypsoai__cap_2","uri":"capability://productivity.ai.system.monitoring.and.observability","name":"ai system monitoring and observability","description":"Track performance, health, and behavior of AI models and systems in production. Provides metrics, logging, and alerting for model performance degradation, errors, and anomalies.","intents":["I need to know if my AI models are performing well in production","I want to be alerted when a model's accuracy drops or errors increase","I need visibility into what my AI systems are doing"],"best_for":["Data science teams managing production models","Operations teams responsible for AI system uptime","Organizations needing model performance tracking"],"limitations":["Monitoring effectiveness depends on metric selection","May not catch all types of model failures","Requires baseline metrics for anomaly detection"],"requires":["Running AI models or systems","Defined performance metrics and thresholds","Instrumentation of models for data collection"],"input_types":["model predictions","inference logs","performance metrics","system telemetry"],"output_types":["dashboards","alerts","performance reports","anomaly notifications"],"categories":["productivity","enterprise"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_calypsoai__cap_3","uri":"capability://enterprise.ai.governance.policy.enforcement","name":"ai governance policy enforcement","description":"Define and enforce governance policies across AI systems to ensure compliance with regulatory requirements and organizational standards. Automatically applies policies to model deployment, data usage, and system behavior.","intents":["I need to ensure our AI systems comply with regulations like GDPR or HIPAA","I want to enforce organizational standards for AI model development","I need to prevent non-compliant models from being deployed"],"best_for":["Regulated industries with compliance requirements","Large enterprises with governance frameworks","Organizations with strict AI ethics policies"],"limitations":["Policies must be clearly defined and measurable","Enforcement depends on system integration","May require manual review for complex compliance scenarios"],"requires":["Defined governance policies","Understanding of applicable regulations","Integration with model deployment pipelines"],"input_types":["policy definitions","model metadata","compliance requirements","deployment requests"],"output_types":["compliance reports","policy violation alerts","audit trails","approval/rejection decisions"],"categories":["enterprise","compliance"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_calypsoai__cap_4","uri":"capability://productivity.cross.industry.ai.deployment.management","name":"cross-industry ai deployment management","description":"Deploy and manage AI systems across different industry verticals with industry-specific configurations and requirements. Handles deployment workflows, version management, and rollback capabilities.","intents":["I need to deploy AI models across different business units with different requirements","I want to manage deployments in healthcare, finance, and other regulated sectors","I need to roll back AI systems if something goes wrong"],"best_for":["Multi-industry enterprises","Organizations with diverse AI use cases","Teams managing deployments across regions or business units"],"limitations":["Requires understanding of industry-specific requirements","Deployment speed depends on infrastructure","May not support all deployment environments"],"requires":["AI models or systems ready for deployment","Target deployment environments","Industry-specific configuration knowledge"],"input_types":["model artifacts","deployment configurations","environment specifications","version information"],"output_types":["deployment status","deployment logs","version tracking","rollback confirmations"],"categories":["productivity","enterprise"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_calypsoai__cap_5","uri":"capability://productivity.ai.model.inventory.and.metadata.management","name":"ai model inventory and metadata management","description":"Maintain a centralized catalog of all AI models and systems in use, tracking metadata, versions, lineage, and ownership. Provides searchability and discoverability of available models.","intents":["I need to know what AI models we have and where they're being used","I want to find existing models before building new ones","I need to track model versions and who owns each model"],"best_for":["Large organizations with many AI models","Data science teams needing model discovery","Organizations managing model sprawl"],"limitations":["Requires consistent metadata tagging","Effectiveness depends on adoption and data quality","May not integrate with all model development tools"],"requires":["AI models to catalog","Metadata about models","Consistent naming and tagging conventions"],"input_types":["model metadata","version information","ownership data","usage information"],"output_types":["model catalog","search results","metadata reports","lineage diagrams"],"categories":["productivity","enterprise"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_calypsoai__cap_6","uri":"capability://enterprise.ai.system.audit.and.compliance.reporting","name":"ai system audit and compliance reporting","description":"Generate comprehensive audit trails and compliance reports for AI systems and their usage. Documents all actions, access, changes, and decisions for regulatory review and internal auditing.","intents":["I need to prove our AI systems are compliant for regulatory audits","I want to track who did what with our AI systems for accountability","I need to generate compliance reports for regulators or auditors"],"best_for":["Regulated industries requiring audit trails","Organizations undergoing compliance audits","Enterprises with strict accountability requirements"],"limitations":["Audit effectiveness depends on comprehensive logging","Reports must be properly interpreted for compliance","May generate large volumes of data"],"requires":["Comprehensive logging of all system activities","Defined audit requirements","Retention policies for audit data"],"input_types":["system activity logs","access records","change logs","audit criteria"],"output_types":["audit reports","compliance certifications","activity logs","evidence documentation"],"categories":["enterprise","compliance"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":30,"verified":false,"data_access_risk":"high","permissions":["Multiple AI models or vendor accounts to orchestrate","API access to target AI systems","Network connectivity to CalypsoAI platform","User identity management system","Defined access control policies","Integration with enterprise authentication systems","Running AI models or systems","Defined performance metrics and thresholds","Instrumentation of models for data collection","Defined governance policies"],"failure_modes":["Requires integration setup with each AI model/vendor","Performance depends on underlying model quality","Limited public documentation on supported model types","Security posture depends on underlying infrastructure","May introduce latency for access control checks","Requires proper configuration to be effective","Monitoring effectiveness depends on metric selection","May not catch all types of model failures","Requires baseline metrics for anomaly detection","Policies must be clearly defined and measurable","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.15000000000000002,"quality":0.47,"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":"2026-05-24T12:16:29.716Z","last_scraped_at":"2026-04-05T13:23:42.563Z","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=calypsoai","compare_url":"https://unfragile.ai/compare?artifact=calypsoai"}},"signature":"gvTylqDJWdigG/ABoA6HXcFYvJp4Y2tbaAVUHxflLCH9vQDnRkJJjyRpoi7Dqi/O28K4xf3/cj/ydVizFZFuCQ==","signedAt":"2026-06-23T03:31:43.740Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/calypsoai","artifact":"https://unfragile.ai/calypsoai","verify":"https://unfragile.ai/api/v1/verify?slug=calypsoai","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"}}