{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_kypso","slug":"kypso","name":"Kypso","type":"product","url":"https://kypso.io","page_url":"https://unfragile.ai/kypso","categories":["automation"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_kypso__cap_0","uri":"capability://data.processing.analysis.project.state.aggregation.and.real.time.synchronization","name":"project-state aggregation and real-time synchronization","description":"Kypso aggregates project data from multiple sources (likely task management systems, version control, CI/CD pipelines) into a unified state model, maintaining real-time synchronization through webhook-based event streaming or polling mechanisms. The platform appears to normalize heterogeneous project signals (commits, PRs, deployments, task status changes) into a common data schema for cross-tool visibility without requiring manual data entry or ETL configuration.","intents":["I need a single dashboard showing project health across Jira, GitHub, and deployment systems without manual updates","I want to detect bottlenecks by correlating task completion with code commits and CI/CD failures in real-time","I need to understand why projects are slipping by seeing all signals (planning, development, deployment) in one place"],"best_for":["engineering teams using 3+ disconnected tools (Jira + GitHub + Slack + deployment systems)","growing teams scaling from ad-hoc project tracking to systematic operations intelligence","teams with distributed workflows needing centralized visibility without context-switching"],"limitations":["Insufficient public documentation on supported integrations — unclear which tools are natively supported vs. webhook-only","No transparent SLA or latency guarantees for real-time sync — could introduce stale data windows during high-volume events","Likely requires API keys/OAuth tokens for each connected system, creating credential management overhead","Unknown data retention and archival policies for historical project state"],"requires":["Active accounts in at least one source system (Jira, GitHub, Linear, etc.)","API access or webhook capabilities in connected tools","Network connectivity for real-time event streaming (if webhook-based)"],"input_types":["structured project metadata (task IDs, status, assignees, dates)","code repository events (commits, PRs, branches)","CI/CD pipeline events (build status, deployment logs)","team communication signals (Slack messages, comments)"],"output_types":["unified project dashboard (JSON/REST API)","real-time event stream (WebSocket or Server-Sent Events)","aggregated metrics (burndown, velocity, deployment frequency)"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_kypso__cap_1","uri":"capability://data.processing.analysis.operational.metrics.extraction.and.trend.analysis","name":"operational metrics extraction and trend analysis","description":"Kypso extracts quantitative signals from project data (cycle time, deployment frequency, team velocity, blockers, rework rates) and applies time-series analysis to identify trends, anomalies, and leading indicators of project health. The system likely uses statistical aggregation and pattern detection to surface insights without requiring manual report configuration, enabling teams to spot degradation before projects slip.","intents":["I want to see if our team's velocity is trending down and understand which types of work are slowing us","I need to identify which projects have the highest risk of missing deadlines based on current burn rate","I want to track whether our deployment frequency is improving and correlate it with code quality metrics"],"best_for":["engineering leaders and product managers needing objective project health signals","teams practicing continuous delivery wanting to measure deployment cadence and stability","organizations scaling to multiple teams needing comparative metrics across projects"],"limitations":["Metrics quality depends entirely on upstream data quality — garbage in, garbage out if tasks are mislabeled or commits lack context","No public documentation on statistical methods used (moving averages, regression, anomaly detection) — makes it impossible to validate trend accuracy","Likely requires historical data backfill to establish baselines; new projects may show unreliable metrics for first 2-4 weeks","Unknown whether metrics account for team composition changes, scope creep, or external blockers"],"requires":["Minimum 2-4 weeks of historical project data for reliable trend analysis","Consistent tagging/labeling of tasks and commits across source systems","Active project activity (commits, task updates) at least weekly"],"input_types":["time-series project events (task created, moved, completed with timestamps)","code commit metadata (author, timestamp, files changed)","deployment events (timestamp, environment, success/failure)","team capacity data (headcount, allocations)"],"output_types":["trend charts (velocity over time, cycle time distribution)","risk scores (probability of deadline miss, burndown slope)","anomaly alerts (unusual spike in blocked tasks, deployment failures)","comparative metrics (team A vs team B velocity)"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_kypso__cap_2","uri":"capability://planning.reasoning.team.capacity.and.resource.allocation.planning","name":"team capacity and resource allocation planning","description":"Kypso models team capacity (headcount, skill distribution, availability) and correlates it with project demand to surface allocation imbalances, overallocation risks, and skill gaps. The system likely uses constraint-based reasoning to recommend task assignments or flag when projects are understaffed relative to their timeline, enabling proactive rebalancing before bottlenecks form.","intents":["I need to know if we have enough backend engineers to hit our Q3 roadmap without burning out the team","I want to see which team members are overallocated across multiple projects and redistribute work","I need to identify skill gaps (e.g., no one knows our legacy payment system) before critical work gets blocked"],"best_for":["engineering managers and tech leads allocating work across multiple projects","growing teams scaling headcount and needing to match hiring to project demand","organizations with specialized skill requirements (e.g., ML, infrastructure) needing visibility into skill distribution"],"limitations":["Capacity planning accuracy depends on honest time estimates and actual time tracking — many teams lack this discipline","No public documentation on how Kypso handles context-switching costs or ramp-up time for new tasks","Unknown whether the system accounts for meetings, on-call rotations, or other non-project work","Likely requires manual input of team member skills and availability — high maintenance overhead if not automated"],"requires":["Team roster with role/skill metadata","Time estimates on tasks or historical velocity data to infer capacity","Regular updates to availability (vacation, leaves of absence, allocations)"],"input_types":["team member profiles (name, role, skills, availability %)","task metadata (estimated effort, required skills, assigned to)","project timelines (start date, deadline, priority)","historical time tracking or velocity data"],"output_types":["capacity utilization dashboard (% allocated per team member)","allocation recommendations (move task X from person A to person B)","risk alerts (project Y is understaffed by 2 FTE)","skill gap reports (no one has expertise in domain Z)"],"categories":["planning-reasoning","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_kypso__cap_3","uri":"capability://planning.reasoning.cross.project.dependency.mapping.and.critical.path.analysis","name":"cross-project dependency mapping and critical path analysis","description":"Kypso models task and project dependencies (both explicit and inferred from code/commit patterns) to construct a dependency graph and identify critical paths, bottlenecks, and cascade risks. The system likely uses topological sorting and critical path method (CPM) algorithms to highlight which tasks, if delayed, would impact overall delivery timelines, enabling teams to prioritize unblocking work.","intents":["I need to know which tasks are blocking other teams and prioritize unblocking them","I want to see the critical path for our Q3 launch and identify which dependencies are at risk","I need to understand if delaying feature A would push back the entire product launch"],"best_for":["large teams with complex, interconnected projects needing visibility into dependency chains","organizations coordinating across multiple teams (backend, frontend, infrastructure) with tight timelines","teams practicing agile at scale (SAFe, LeSS) needing to manage cross-team dependencies"],"limitations":["Dependency accuracy depends on explicit task linking in source systems — many teams lack discipline in documenting dependencies","Unknown whether Kypso infers implicit dependencies (e.g., 'this PR depends on that library release') or requires manual specification","Critical path analysis assumes deterministic task durations — doesn't account for uncertainty, parallel work, or rework","No public documentation on how the system handles circular dependencies or conflicting priority signals"],"requires":["Explicit task dependencies defined in project management system (Jira, Linear, etc.) or inferred from code/commit patterns","Accurate task duration estimates or historical completion data","Regular updates to task status and dependency relationships"],"input_types":["task dependency graph (task A blocks task B)","task duration estimates or historical cycle times","task status and progress (% complete, actual vs. estimated)","code repository structure (inferred dependencies from imports, package.json, etc.)"],"output_types":["dependency graph visualization (DAG with critical path highlighted)","critical path report (sequence of tasks that determine overall timeline)","bottleneck alerts (tasks with high fan-in/fan-out)","impact analysis (if task X slips by N days, project Y slips by M days)"],"categories":["planning-reasoning","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_kypso__cap_4","uri":"capability://planning.reasoning.automated.risk.detection.and.escalation","name":"automated risk detection and escalation","description":"Kypso monitors project signals in real-time and applies rule-based or ML-based anomaly detection to identify risks (missed milestones, velocity degradation, blocked tasks, deployment failures) before they become critical. The system likely generates alerts and escalates to relevant stakeholders based on severity and impact, enabling proactive intervention rather than reactive firefighting.","intents":["I want to be alerted immediately if a critical project starts falling behind its burn rate","I need to know when a task has been blocked for more than 2 days so I can unblock it","I want to catch deployment failures that might indicate a quality regression before they reach production"],"best_for":["engineering leaders needing early warning of project health degradation","teams with strict SLAs or compliance requirements needing to catch issues before they escalate","organizations with on-call rotations needing to route alerts to the right person at the right time"],"limitations":["Alert fatigue risk if thresholds are not tuned properly — too many false positives will cause teams to ignore alerts","Unknown whether Kypso uses static thresholds or learns baselines per team/project — one-size-fits-all rules may not work across diverse teams","No public documentation on escalation logic or integration with incident management systems (PagerDuty, Opsgenie)","Likely requires manual configuration of alert rules and thresholds — high maintenance overhead"],"requires":["Real-time project data stream (task updates, commits, deployments)","Configured alert rules and thresholds (e.g., 'alert if velocity drops >20% week-over-week')","Integration with notification channels (Slack, email, SMS) or incident management systems"],"input_types":["real-time project events (task status change, commit, deployment)","historical baseline data (normal velocity, cycle time, deployment frequency)","alert rule definitions (condition, threshold, severity, recipients)"],"output_types":["alert notifications (Slack, email, SMS, webhook)","risk dashboard (list of active risks with severity and impact)","escalation logs (who was notified, when, what action was taken)"],"categories":["planning-reasoning","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_kypso__cap_5","uri":"capability://data.processing.analysis.team.performance.benchmarking.and.comparative.analytics","name":"team performance benchmarking and comparative analytics","description":"Kypso compares team metrics (velocity, cycle time, deployment frequency, quality) against historical baselines, peer teams, or industry benchmarks to contextualize performance and identify improvement opportunities. The system likely normalizes metrics across teams with different sizes, tech stacks, or project types to enable fair comparison and surface best practices from high-performing teams.","intents":["I want to know if our team's velocity is normal for a team of our size and tech stack","I need to understand why team A is shipping 2x faster than team B and what practices they're using","I want to benchmark our deployment frequency against industry standards to set realistic improvement targets"],"best_for":["engineering leaders managing multiple teams needing to identify performance gaps and best practices","organizations benchmarking against competitors or industry standards to set strategic goals","teams practicing continuous improvement (kaizen, retrospectives) needing data-driven insights"],"limitations":["Benchmarking accuracy depends on comparable teams — comparing a 2-person startup team to a 50-person enterprise team is meaningless without normalization","Unknown whether Kypso normalizes for team composition, tech stack, project complexity, or other confounding variables","No public documentation on data sources for industry benchmarks — unclear if they're based on Kypso's own customer base or external sources","Risk of gaming metrics if teams optimize for benchmarks rather than actual business outcomes"],"requires":["Minimum 2-3 months of historical metrics per team for reliable comparison","Metadata on team size, composition, tech stack, and project types for normalization","Opt-in to benchmarking (if Kypso aggregates anonymized data across customers)"],"input_types":["team metrics (velocity, cycle time, deployment frequency, defect rate)","team metadata (size, composition, tech stack, project types)","historical performance data (trends over time)"],"output_types":["comparative dashboards (team A vs team B vs benchmark)","percentile rankings (team X is in top 25% for deployment frequency)","best practice recommendations (team A uses practice Y which correlates with 30% faster cycle time)","improvement targets (to reach industry median, focus on reducing cycle time by 20%)"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":26,"verified":false,"data_access_risk":"high","permissions":["Active accounts in at least one source system (Jira, GitHub, Linear, etc.)","API access or webhook capabilities in connected tools","Network connectivity for real-time event streaming (if webhook-based)","Minimum 2-4 weeks of historical project data for reliable trend analysis","Consistent tagging/labeling of tasks and commits across source systems","Active project activity (commits, task updates) at least weekly","Team roster with role/skill metadata","Time estimates on tasks or historical velocity data to infer capacity","Regular updates to availability (vacation, leaves of absence, allocations)","Explicit task dependencies defined in project management system (Jira, Linear, etc.) or inferred from code/commit patterns"],"failure_modes":["Insufficient public documentation on supported integrations — unclear which tools are natively supported vs. webhook-only","No transparent SLA or latency guarantees for real-time sync — could introduce stale data windows during high-volume events","Likely requires API keys/OAuth tokens for each connected system, creating credential management overhead","Unknown data retention and archival policies for historical project state","Metrics quality depends entirely on upstream data quality — garbage in, garbage out if tasks are mislabeled or commits lack context","No public documentation on statistical methods used (moving averages, regression, anomaly detection) — makes it impossible to validate trend accuracy","Likely requires historical data backfill to establish baselines; new projects may show unreliable metrics for first 2-4 weeks","Unknown whether metrics account for team composition changes, scope creep, or external blockers","Capacity planning accuracy depends on honest time estimates and actual time tracking — many teams lack this discipline","No public documentation on how Kypso handles context-switching costs or ramp-up time for new tasks","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.06666666666666667,"quality":0.37,"ecosystem":0.2,"match_graph":0.25,"freshness":0.9,"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":"2026-05-24T12:16:31.446Z","last_scraped_at":"2026-04-05T13:23:42.564Z","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=kypso","compare_url":"https://unfragile.ai/compare?artifact=kypso"}},"signature":"UqMdiQ2CF/FPX28v0qD+ZKsH7QkJnjx6VaibW8/xEhhaGcZZNr6Olutoivt2mpdEU7gKGRU8AF5oxP+VRtNgAA==","signedAt":"2026-06-15T19:07:15.558Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/kypso","artifact":"https://unfragile.ai/kypso","verify":"https://unfragile.ai/api/v1/verify?slug=kypso","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"}}