{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"github-builderz-labs--mission-control","slug":"builderz-labs--mission-control","name":"mission-control","type":"mcp","url":"https://mc.builderz.dev","page_url":"https://unfragile.ai/builderz-labs--mission-control","categories":["mcp-servers","observability"],"tags":["agent-orchestration","ai-agents","ai-automation","ai-dashboard","claude","dashboard","developer-tools","llm","mcp","nextjs","open-source","openclaw","self-hosted","sqlite","task-management","typescript"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"github-builderz-labs--mission-control__cap_0","uri":"capability://automation.workflow.multi.agent.fleet.status.monitoring.with.heartbeat.tracking","name":"multi-agent fleet status monitoring with heartbeat tracking","description":"Monitors 20+ distributed AI agents simultaneously through a centralized dashboard, implementing heartbeat-based liveness detection via WebSocket connections to OpenClaw Gateway instances. Uses Server-Sent Events (SSE) for real-time status updates and smart polling that automatically pauses during active connections to reduce overhead. Tracks session state, agent spawn control, and connection health across multiple gateway instances without requiring external message brokers.","intents":["I need to see which agents are currently online and their health status across multiple deployments","I want to spawn new agent instances and control their lifecycle from a single dashboard","I need to detect when agents disconnect unexpectedly and get notified in real-time"],"best_for":["teams running distributed multi-agent systems with OpenClaw Gateway","DevOps engineers managing agent fleet operations","AI platform operators needing centralized visibility across 10+ agents"],"limitations":["Heartbeat detection latency depends on WebSocket connection stability — no guaranteed sub-second detection","Limited to agents running on OpenClaw Gateway; proprietary agent frameworks require custom adapters","Dashboard refresh rate capped by browser SSE implementation; high-frequency updates (>10/sec) may cause UI jank"],"requires":["Node.js 18.0.0+","OpenClaw Gateway instance(s) with WebSocket support","Network connectivity between Mission Control and all gateway instances"],"input_types":["WebSocket heartbeat messages from agents","Gateway connection metadata (agent ID, status, session tokens)"],"output_types":["real-time agent status UI (online/offline/idle)","session management state","spawn control commands"],"categories":["automation-workflow","observability"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-builderz-labs--mission-control__cap_1","uri":"capability://automation.workflow.kanban.based.task.workflow.orchestration.with.drag.and.drop.assignment","name":"kanban-based task workflow orchestration with drag-and-drop assignment","description":"Provides a six-stage Kanban board (inbox → backlog → todo → in-progress → review → done) with drag-and-drop task movement, priority level assignment, and agent-to-task binding. Implements optimistic UI updates via Zustand state management with SQLite persistence, allowing teams to coordinate multi-agent work without external workflow engines. Task state transitions trigger webhook events and can be assigned to specific agents with capacity tracking.","intents":["I want to visually manage a queue of tasks and assign them to specific agents","I need to track task progress through multiple workflow stages and see bottlenecks","I want to prioritize tasks and have agents pick up high-priority work first"],"best_for":["teams coordinating 5-50 concurrent agent tasks","non-technical operators managing agent workloads visually","small-to-medium teams without dedicated workflow orchestration infrastructure"],"limitations":["No built-in task dependencies or conditional branching — linear workflow stages only","Drag-and-drop performance degrades with >500 tasks in a single board view","No automatic task retry logic; failed tasks must be manually moved back to in-progress","Task assignment is static; no dynamic load balancing based on agent capacity"],"requires":["React 19+ for concurrent rendering","Zustand 5+ for client state management","SQLite database with write access"],"input_types":["task metadata (title, description, priority, agent assignment)","drag-and-drop UI events","agent availability signals"],"output_types":["task state transitions (stage changes)","webhook events on state change","agent assignment commands"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-builderz-labs--mission-control__cap_10","uri":"capability://code.generation.editing.next.js.app.router.server.side.rendering.with.api.routes","name":"next.js app router server-side rendering with api routes","description":"Implements the dashboard UI using Next.js 16 App Router for server-side rendering and incremental static regeneration; provides backend API endpoints via Next.js API routes (no separate backend server required). Uses React 19 concurrent rendering for responsive UI updates; implements middleware for authentication and request logging. Server components reduce JavaScript bundle size; client components use Zustand for state management.","intents":["I want a fast, responsive dashboard that loads quickly and updates in real-time","I need a single codebase for both frontend and backend without managing separate servers","I want to minimize JavaScript bundle size and improve Core Web Vitals"],"best_for":["teams building full-stack applications with JavaScript/TypeScript","organizations prioritizing developer experience and rapid iteration","deployments to Node.js-compatible hosting (Vercel, self-hosted)"],"limitations":["Server components cannot use browser APIs; client-side interactivity requires explicit 'use client' boundaries","API routes are not suitable for high-throughput workloads (>1000 req/sec); no built-in rate limiting","Middleware runs on every request; complex middleware logic adds latency (~10-50ms per request)","Incremental Static Regeneration (ISR) requires careful cache invalidation; stale content may be served","No built-in request queuing or backpressure handling; high load causes request timeouts"],"requires":["Node.js 18.0.0+","Next.js 16+","React 19+"],"input_types":["HTTP requests (GET, POST, PUT, DELETE)","form submissions","WebSocket upgrade requests"],"output_types":["HTML (server-rendered pages)","JSON (API responses)","WebSocket connections"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-builderz-labs--mission-control__cap_11","uri":"capability://code.generation.editing.zustand.based.global.state.management.with.optimistic.updates","name":"zustand-based global state management with optimistic updates","description":"Manages client-side application state (UI panels, filters, user preferences, task list) using Zustand 5 with minimal boilerplate; implements optimistic updates for task drag-and-drop and form submissions that revert on server error. Stores state in memory with optional localStorage persistence for user preferences. Zustand's subscription model enables fine-grained reactivity without Redux boilerplate.","intents":["I want instant UI feedback when dragging tasks without waiting for server confirmation","I need to persist user preferences (sidebar collapse state, filter settings) across sessions","I want to manage complex UI state without Redux boilerplate"],"best_for":["React applications with moderate state complexity (10-50 state slices)","teams prioritizing developer experience over enterprise patterns","applications needing optimistic updates for responsive UX"],"limitations":["No built-in time-travel debugging like Redux DevTools; state mutations are harder to trace","Zustand stores are global; no built-in scoping for per-component state","localStorage persistence is synchronous; large state objects may block the main thread","No built-in middleware for async actions; complex async flows require custom hooks","State updates are not batched; rapid updates may cause multiple re-renders"],"requires":["React 18.0.0+","Zustand 5+"],"input_types":["user interactions (clicks, form submissions, drag-and-drop)","server responses (task updates, agent status)"],"output_types":["component re-renders","localStorage persistence"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-builderz-labs--mission-control__cap_12","uri":"capability://code.generation.editing.tailwind.css.utility.first.styling.with.responsive.design","name":"tailwind css utility-first styling with responsive design","description":"Implements dashboard UI styling using Tailwind CSS 3.4 utility classes for responsive design across desktop, tablet, and mobile viewports. Uses Tailwind's dark mode support for theme switching; implements custom color schemes for agent status indicators and cost visualization. Tailwind's JIT compiler generates only used styles, minimizing CSS bundle size.","intents":["I want a responsive dashboard that works on desktop, tablet, and mobile","I need consistent styling across all dashboard panels without writing custom CSS","I want to quickly iterate on UI design without managing CSS files"],"best_for":["teams prioritizing rapid UI development over custom design","applications targeting multiple device sizes","teams already familiar with utility-first CSS"],"limitations":["Tailwind class names are verbose; complex layouts require many utility classes per element","Custom design tokens require Tailwind configuration; not suitable for highly branded designs","Dark mode is CSS-based; no runtime theme switching without page reload","Responsive breakpoints are fixed; no custom breakpoints without configuration","CSS bundle size grows with number of utility classes used; unused utilities are pruned but still adds overhead"],"requires":["Tailwind CSS 3.4+","PostCSS for Tailwind processing"],"input_types":["HTML/JSX markup with Tailwind utility classes"],"output_types":["CSS stylesheet with only used utilities"],"categories":["code-generation-editing","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-builderz-labs--mission-control__cap_13","uri":"capability://data.processing.analysis.recharts.based.interactive.data.visualization.for.cost.trends.and.metrics","name":"recharts-based interactive data visualization for cost trends and metrics","description":"Visualizes token usage trends, cost breakdowns, and agent metrics using Recharts 3 interactive charts (line charts for trends, bar charts for comparisons, pie charts for provider breakdown). Charts are responsive and support hover tooltips, legend toggling, and drill-down interactions. Data is sourced from SQLite time-series buckets; charts update in real-time as new metrics arrive.","intents":["I want to see cost trends over time and identify spending patterns","I need to compare token usage across different models and providers","I want to drill down into specific time periods to understand cost spikes"],"best_for":["teams analyzing cost and usage metrics","operators identifying optimization opportunities","stakeholders reviewing spending trends"],"limitations":["Recharts performance degrades with >1000 data points per chart; large datasets require aggregation","No built-in statistical analysis (forecasting, anomaly detection); trends are purely visual","Chart interactions are limited to hover and legend toggling; no cross-chart filtering","Responsive design may cause chart reflow on mobile; small screens show limited detail","Real-time updates require re-rendering entire chart; high-frequency updates (>1/sec) cause jank"],"requires":["Recharts 3+","React 18.0.0+","Time-series data from SQLite"],"input_types":["time-series metrics (timestamp, cost, tokens, model)","provider pricing configuration"],"output_types":["interactive charts (SVG)","drill-down data on click"],"categories":["data-processing-analysis","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-builderz-labs--mission-control__cap_2","uri":"capability://automation.workflow.real.time.activity.feed.with.websocket.event.streaming","name":"real-time activity feed with websocket event streaming","description":"Streams live agent activity events to the dashboard via WebSocket connections and Server-Sent Events, displaying a chronological feed of agent actions, task completions, and system events. Implements smart polling that detects active connections and pauses database queries to reduce load; uses better-sqlite3 WAL mode to support concurrent reads while events are being written. Provides both push-based (WebSocket) and pull-based (SSE) delivery mechanisms for resilience.","intents":["I want to see a live feed of what agents are doing right now without refreshing the page","I need to debug agent behavior by watching event sequences in real-time","I want to receive alerts when specific events occur (task completion, errors, etc.)"],"best_for":["operators monitoring active agent operations","developers debugging multi-agent workflows","teams needing real-time visibility into agent decision-making"],"limitations":["Event feed history limited by SQLite database size; no built-in archival to external storage","WebSocket connections require persistent network; mobile clients may experience frequent reconnects","Event filtering is client-side only; high-volume event streams (>1000 events/sec) may overwhelm browser rendering","No event deduplication; duplicate events from agent retries appear in feed"],"requires":["WebSocket support in browser and server","SQLite database with WAL mode enabled","Network connectivity with low latency (<500ms) for real-time feel"],"input_types":["WebSocket messages from agents","database write events (SQLite triggers)","system events (agent spawn, shutdown, error)"],"output_types":["chronological event feed (JSON)","real-time UI updates","webhook notifications"],"categories":["automation-workflow","observability"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-builderz-labs--mission-control__cap_3","uri":"capability://data.processing.analysis.multi.provider.token.usage.analytics.and.cost.tracking","name":"multi-provider token usage analytics and cost tracking","description":"Aggregates token consumption metrics across multiple AI providers (Anthropic, OpenAI, OpenRouter, Ollama) with per-model breakdowns and trend visualization using Recharts. Stores token counts and pricing data in SQLite with time-series bucketing for efficient querying; calculates running costs based on provider-specific pricing models. Provides dashboard panels for cost trends, per-agent spending, and model-specific analytics without requiring external analytics platforms.","intents":["I need to track how much I'm spending on different AI models and providers","I want to see which agents or tasks are consuming the most tokens","I need to forecast costs and set budget alerts based on usage trends"],"best_for":["teams managing costs across multiple LLM providers","startups tracking burn rate on AI infrastructure","enterprises needing cost attribution per agent or project"],"limitations":["Pricing data must be manually configured per provider; no automatic price updates when providers change rates","Token counts are estimates based on provider APIs; actual billing may differ due to rounding or batch processing","No cost forecasting or anomaly detection; trends are purely historical visualization","Cost attribution is at agent level only; no sub-task or request-level granularity"],"requires":["API keys for each provider (Anthropic, OpenAI, OpenRouter, Ollama)","SQLite database with write access","Recharts 3+ for visualization"],"input_types":["token usage metrics from agent API calls","provider pricing configuration (cost per 1K tokens)","timestamp and model metadata"],"output_types":["cost trend charts (time-series visualization)","per-model cost breakdown (structured data)","total spend and forecasts (numeric)"],"categories":["data-processing-analysis","observability"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-builderz-labs--mission-control__cap_4","uri":"capability://safety.moderation.three.tier.role.based.access.control.with.session.and.api.key.authentication","name":"three-tier role-based access control with session and api key authentication","description":"Implements three permission tiers (viewer, operator, admin) with session-based authentication using scrypt password hashing and optional Google OAuth integration with approval workflows. Supports both session tokens and API keys for programmatic access; stores credentials in SQLite with secure hashing. Admin tier can approve new OAuth users, manage API keys, and modify system configuration; operator tier can dispatch tasks and monitor agents; viewer tier has read-only access.","intents":["I want to give different team members different levels of access to the dashboard","I need to integrate Mission Control with external tools using API keys","I want to use Google OAuth for single sign-on without managing passwords"],"best_for":["teams with 3+ members needing role separation","enterprises requiring audit trails for access control","organizations using Google Workspace for identity management"],"limitations":["No fine-grained permissions; roles are global (viewer/operator/admin) with no per-resource access control","OAuth approval workflow is manual; no automated provisioning based on Google groups","API keys are long-lived with no automatic rotation; requires manual key management","No audit logging of who accessed what and when; only authentication events are logged","Session timeout is fixed; no configurable session duration per role"],"requires":["SQLite database with write access","scrypt library for password hashing","Google OAuth credentials (client ID, secret) for OAuth integration","HTTPS for secure cookie transmission"],"input_types":["username/password credentials","Google OAuth tokens","API key headers"],"output_types":["session tokens (HTTP cookies)","API key validation (boolean)","user role and permissions (JSON)"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-builderz-labs--mission-control__cap_5","uri":"capability://tool.use.integration.outbound.webhook.delivery.with.tracking.and.retry.logic","name":"outbound webhook delivery with tracking and retry logic","description":"Sends webhook events to external systems on task state transitions, agent status changes, and cost threshold breaches; tracks delivery status (pending, delivered, failed) in SQLite with retry attempts and cooldown periods. Implements exponential backoff for failed deliveries and stores webhook payloads for debugging. Supports multiple webhook endpoints with per-endpoint filtering rules and delivery history visualization.","intents":["I want to trigger external workflows when tasks complete or agents fail","I need to integrate Mission Control with Slack, PagerDuty, or custom systems","I want to see which webhooks succeeded and which failed, with retry history"],"best_for":["teams integrating Mission Control with external tools (Slack, Discord, PagerDuty)","organizations with custom event processing pipelines","teams needing audit trails of external system notifications"],"limitations":["No webhook signature verification; relies on HTTPS for security","Retry logic is fixed (exponential backoff); no configurable retry strategies","Webhook payloads are stored in SQLite; large payloads may impact database performance","No built-in filtering or transformation of events; all matching events trigger all configured webhooks","Cooldown periods are global; no per-webhook cooldown configuration"],"requires":["SQLite database with write access","Network connectivity to external webhook endpoints","HTTPS endpoints for secure delivery"],"input_types":["event triggers (task state change, agent status, cost threshold)","webhook endpoint configuration (URL, event filters)","event payload (JSON)"],"output_types":["HTTP POST requests to external endpoints","delivery status tracking (pending/delivered/failed)","retry attempt logs"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-builderz-labs--mission-control__cap_6","uri":"capability://safety.moderation.1password.cli.secret.management.integration","name":"1password cli secret management integration","description":"Integrates with 1Password CLI (op command) to retrieve and inject secrets into agent configurations and webhook payloads at runtime. Stores 1Password vault references (not actual secrets) in SQLite; fetches secrets on-demand via subprocess calls to the op CLI. Supports secret rotation without redeploying agents and provides audit trails through 1Password's native logging.","intents":["I want to store API keys and credentials securely without hardcoding them in the database","I need to rotate secrets without restarting agents or redeploying configurations","I want to leverage my existing 1Password vault for centralized secret management"],"best_for":["teams already using 1Password for credential management","organizations with security policies requiring external secret vaults","teams needing audit trails of secret access"],"limitations":["Requires 1Password CLI installed and authenticated on the Mission Control server; adds operational dependency","Secret retrieval latency depends on 1Password CLI performance; adds ~100-500ms per secret lookup","No caching of secrets; every agent request triggers a fresh 1Password CLI call, increasing latency","Fallback mechanism required if 1Password is unavailable; agents may fail if secrets cannot be retrieved","1Password CLI authentication must be maintained; session expiry causes agent failures"],"requires":["1Password CLI (op) installed and in PATH","1Password account with vault access","Biometric or password authentication configured for op CLI"],"input_types":["1Password vault references (e.g., 'op://vault/item/field')","agent configuration templates"],"output_types":["resolved secrets injected into agent configs","audit logs in 1Password"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-builderz-labs--mission-control__cap_7","uri":"capability://automation.workflow.multi.gateway.connectivity.with.distributed.agent.coordination","name":"multi-gateway connectivity with distributed agent coordination","description":"Connects to multiple OpenClaw Gateway instances simultaneously, aggregating agent status, task assignments, and event streams from distributed deployments into a single dashboard. Implements per-gateway connection pooling and failover logic; stores gateway configurations in SQLite with health checks. Enables task dispatch to agents across different gateways and provides unified monitoring across geographically distributed or logically separated agent clusters.","intents":["I want to manage agents deployed across multiple data centers or cloud regions from one dashboard","I need to dispatch tasks to the most available agent regardless of which gateway it's connected to","I want to see a unified view of all my agents across multiple OpenClaw deployments"],"best_for":["organizations with multi-region or multi-cloud agent deployments","teams running separate OpenClaw instances per environment (dev, staging, prod)","enterprises needing geographic distribution for latency or compliance reasons"],"limitations":["No automatic failover between gateways; if a gateway becomes unavailable, agents on that gateway appear offline","Task dispatch is not load-balanced; operators must manually select which gateway to dispatch to","Network latency between Mission Control and gateways affects real-time monitoring; high-latency connections may show stale status","No cross-gateway task dependencies; tasks on different gateways cannot be coordinated","Gateway health checks are periodic; transient failures may not be detected immediately"],"requires":["Multiple OpenClaw Gateway instances with network connectivity to Mission Control","SQLite database with write access","Network connectivity between Mission Control and all gateways"],"input_types":["gateway configuration (URL, authentication credentials)","agent status from each gateway","task dispatch requests"],"output_types":["unified agent status across all gateways","task dispatch commands to specific gateways","aggregated event streams"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-builderz-labs--mission-control__cap_8","uri":"capability://safety.moderation.alert.rules.with.cooldown.periods.and.threshold.based.triggering","name":"alert rules with cooldown periods and threshold-based triggering","description":"Defines alert rules based on thresholds (e.g., agent offline >5 minutes, cost spike >$100/hour, task failure rate >10%) with configurable cooldown periods to prevent alert fatigue. Stores rules in SQLite and evaluates them against real-time metrics; triggers webhooks or notifications when thresholds are breached. Implements exponential backoff for repeated alerts on the same condition to reduce noise.","intents":["I want to be notified when agents go offline or fail unexpectedly","I need to set budget alerts when spending exceeds thresholds","I want to avoid alert fatigue by setting cooldown periods between notifications"],"best_for":["teams needing automated incident detection","operators managing unattended agent fleets","organizations with cost management policies"],"limitations":["Alert evaluation is periodic (not real-time); detection latency depends on evaluation interval (typically 30-60 seconds)","Threshold logic is simple comparisons only; no complex conditions or boolean logic","Cooldown periods are global per rule; no per-alert-instance cooldown","No alert escalation; all alerts trigger the same webhook regardless of severity","Alert history is limited by SQLite database size; old alerts are not automatically archived"],"requires":["SQLite database with write access","Webhook endpoints configured for alert delivery","Metrics data available in real-time (agent status, cost tracking, task metrics)"],"input_types":["alert rule configuration (threshold, metric, cooldown)","real-time metrics (agent status, costs, task stats)"],"output_types":["webhook notifications on threshold breach","alert history and state (triggered/resolved)"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-builderz-labs--mission-control__cap_9","uri":"capability://data.processing.analysis.sqlite.backed.persistent.state.with.wal.mode.concurrent.access","name":"sqlite-backed persistent state with wal mode concurrent access","description":"Uses SQLite with Write-Ahead Logging (WAL) mode enabled via better-sqlite3 native bindings to provide persistent storage for all application state (agents, tasks, users, webhooks, metrics) with concurrent read access. Implements database migrations for schema evolution; stores all data in a single .db file without requiring external database servers. WAL mode allows readers to access data while writes are in progress, enabling real-time monitoring without blocking.","intents":["I want to run Mission Control without setting up PostgreSQL or other external databases","I need to back up all application state in a single file","I want real-time monitoring without database locks blocking concurrent reads"],"best_for":["small-to-medium teams (1-50 concurrent users)","self-hosted deployments without database infrastructure","development and testing environments"],"limitations":["SQLite is not suitable for >100 concurrent writes; write contention causes slowdowns","Database file must be on a local filesystem; network storage (NFS, S3) causes WAL mode failures","No built-in replication or clustering; single-instance only","Query performance degrades with large datasets (>1M rows); no query optimization for complex joins","Backup requires stopping writes or using WAL checkpoints; no live backup mechanism"],"requires":["Node.js 18.0.0+","better-sqlite3 native module (requires C++ build tools)","Local filesystem with write access"],"input_types":["application state (agents, tasks, users, webhooks, metrics)","database migrations"],"output_types":["persistent state stored in .db file","query results (JSON)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":53,"verified":false,"data_access_risk":"high","permissions":["Node.js 18.0.0+","OpenClaw Gateway instance(s) with WebSocket support","Network connectivity between Mission Control and all gateway instances","React 19+ for concurrent rendering","Zustand 5+ for client state management","SQLite database with write access","Next.js 16+","React 19+","React 18.0.0+","Zustand 5+"],"failure_modes":["Heartbeat detection latency depends on WebSocket connection stability — no guaranteed sub-second detection","Limited to agents running on OpenClaw Gateway; proprietary agent frameworks require custom adapters","Dashboard refresh rate capped by browser SSE implementation; high-frequency updates (>10/sec) may cause UI jank","No built-in task dependencies or conditional branching — linear workflow stages only","Drag-and-drop performance degrades with >500 tasks in a single board view","No automatic task retry logic; failed tasks must be manually moved back to in-progress","Task assignment is static; no dynamic load balancing based on agent capacity","Server components cannot use browser APIs; client-side interactivity requires explicit 'use client' boundaries","API routes are not suitable for high-throughput workloads (>1000 req/sec); no built-in rate limiting","Middleware runs on every request; complex middleware logic adds latency (~10-50ms per request)","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.5976555943389876,"quality":0.5,"ecosystem":0.7000000000000001,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:21.549Z","last_scraped_at":"2026-05-03T13:59:57.742Z","last_commit":"2026-04-21T07:01:01Z"},"community":{"stars":4563,"forks":789,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=builderz-labs--mission-control","compare_url":"https://unfragile.ai/compare?artifact=builderz-labs--mission-control"}},"signature":"qPEIN50OfbTLFbURvvxqPH51iKEySrWykIXACcos+B1NNf2WKsi7MaR9SSqiIOu0sEN1AKwYMnMO8KDigdbpCA==","signedAt":"2026-06-19T22:48:55.176Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/builderz-labs--mission-control","artifact":"https://unfragile.ai/builderz-labs--mission-control","verify":"https://unfragile.ai/api/v1/verify?slug=builderz-labs--mission-control","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"}}