{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"vercel-v0","slug":"vercel-v0","name":"Vercel v0","type":"product","url":"https://v0.dev","page_url":"https://unfragile.ai/vercel-v0","categories":["app-builders"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"vercel-v0__cap_0","uri":"capability://code.generation.editing.natural.language.to.react.component.generation","name":"natural-language-to-react-component-generation","description":"Converts natural language descriptions into production-ready React components with Tailwind CSS styling and shadcn/ui component integration. Routes prompts to one of four LLM tiers (Mini/Pro/Max/Max Fast) which generate JSX code with pre-built accessible component primitives, then renders output in live browser preview. Uses prompt caching to optimize repeated context (write cost $1.25-$37.50/1M tokens, read cost $0.10-$3/1M) for iterative refinement workflows.","intents":["I want to describe a button component in plain English and get working React code instantly","I need to scaffold a dashboard layout without writing boilerplate CSS","I want to generate a landing page from a text description and iterate via chat"],"best_for":["product managers prototyping UI flows without coding","designers transitioning from Figma to code","junior engineers scaffolding components quickly","teams needing rapid iteration on component designs"],"limitations":["Output locked to React + Tailwind + shadcn/ui stack — no Vue, Svelte, Angular, or custom CSS frameworks","Context window limit exists but specific token count unknown; 'Maximum context limit reached' error occurs with large projects","Generated code uses only shadcn/ui component library — cannot integrate custom component libraries or design systems","No TypeScript support mentioned; output is JSX without type definitions","Prompt caching reduces cost but doesn't eliminate context window constraints for very large codebases"],"requires":["Vercel account (free tier available)","Natural language description or screenshot of desired component","Sufficient credits ($5 free tier, $30/month Team plan, or pay-per-token with v0 Mini/Pro/Max)","Modern browser with JavaScript enabled"],"input_types":["text (natural language prompts)","image (screenshots for visual reference)","code (file attachments for context)"],"output_types":["JSX (React component code)","Tailwind CSS (inline styling)","HTML (rendered preview)"],"categories":["code-generation-editing","ui-generation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vercel-v0__cap_1","uri":"capability://code.generation.editing.figma.design.file.to.react.conversion","name":"figma-design-file-to-react-conversion","description":"Imports Figma design files and converts visual mockups into React + Tailwind code with component hierarchy preservation. Analyzes Figma layers, typography, colors, and layout constraints, then generates corresponding React component structure with shadcn/ui primitives. One-way import (no round-trip sync); design system changes in Figma don't retroactively update generated code.","intents":["I have a Figma mockup and want to convert it to React code without manual translation","I want to extract color palettes and typography from Figma and apply them to generated components","I need to bridge the designer-to-developer handoff by auto-generating code from design files"],"best_for":["design teams handing off mockups to engineers","product managers validating designs before development","solo developers who design in Figma and want instant code output"],"limitations":["One-way conversion only — changes to Figma designs don't update generated code; requires manual re-import","Design system changes in Figma don't retroactively apply to previously generated components","Complex Figma interactions (animations, prototypes) not converted to React equivalents","Figma components with custom plugins or advanced constraints may not translate accurately","No support for Figma variables or design tokens in generated code"],"requires":["Figma account with access to design file","Figma file must be shared or accessible via link","Vercel v0 account with sufficient credits"],"input_types":["figma-file (design mockup with layers, colors, typography)"],"output_types":["JSX (React component code)","Tailwind CSS (extracted from Figma styles)"],"categories":["code-generation-editing","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vercel-v0__cap_10","uri":"capability://safety.moderation.training.data.opt.out.for.privacy.compliance","name":"training-data-opt-out-for-privacy-compliance","description":"Business plan ($100/user/month) and Enterprise tiers offer contractual guarantee that generated code and prompts are not used for model training. Provides compliance path for organizations with strict data privacy requirements (HIPAA, GDPR, etc.). Enterprise tier includes SAML SSO, role-based access control, and priority queue access. Data handling policies documented in terms but specific data retention/deletion timelines unknown.","intents":["I need to ensure my generated code is not used to train Vercel's models","I require contractual guarantees for data privacy and compliance","I need enterprise features like SSO and role-based access for my organization"],"best_for":["enterprises with strict data privacy requirements","organizations subject to HIPAA, GDPR, or similar regulations","teams handling sensitive or proprietary code"],"limitations":["Training opt-out requires Business plan minimum ($100/user/month) — significant cost increase vs. Team plan ($30/user/month)","Data retention and deletion policies not documented — unclear how long data is stored after opt-out","No mention of data encryption at rest or in transit","Enterprise features (SSO, RBAC) only available at Enterprise tier (custom pricing) — no published pricing","Contractual guarantees may not cover third-party LLM providers if v0 uses external models"],"requires":["Business plan ($100/user/month) or Enterprise contract","Organizational Vercel account","Legal review of data handling terms"],"input_types":["plan-selection (Business or Enterprise)"],"output_types":["contractual-guarantee (training opt-out)"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vercel-v0__cap_11","uri":"capability://tool.use.integration.mcp.and.external.api.integration.framework","name":"mcp-and-external-api-integration-framework","description":"Supports Model Context Protocol (MCP) for standardized integration with external tools and APIs. Documentation mentions MCP support and 'pre-installed agents' but specific integrations, agent capabilities, and protocol implementation details are undocumented. Claimed 'automatic integration without accounts required' for external APIs suggests abstraction layer for credential management, but mechanism unknown.","intents":["I want to integrate v0-generated apps with external APIs (Stripe, Slack, etc.) automatically","I need to use MCP-compatible tools within the generation workflow","I want to extend v0 with custom integrations via standard protocols"],"best_for":["developers building integrations with external services","teams using MCP-compatible tools in their stack","organizations with custom API requirements"],"limitations":["MCP implementation details undocumented — unclear which MCP version, which operations supported, or which tools are pre-installed","Pre-installed agents not enumerated — unclear what capabilities are available out-of-box","Mechanism for 'automatic integration without accounts required' undocumented — may require manual credential setup despite claims","No documentation on error handling, rate limiting, or fallback behavior for API failures","Unclear if custom MCP implementations can be added or if only pre-installed agents are supported","No mention of API key management, secret rotation, or credential security"],"requires":["Vercel v0 account","MCP-compatible tool or API (specific list unknown)","API credentials (if required despite 'automatic integration' claims)"],"input_types":["mcp-protocol (standardized tool interface)"],"output_types":["integrated-code (with API calls)"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vercel-v0__cap_12","uri":"capability://tool.use.integration.slack.integration.for.component.generation","name":"slack-integration-for-component-generation","description":"Integrates with Slack to enable component generation and sharing directly from chat. Specific capabilities (slash commands, message actions, bot interactions) not documented. Allows teams to generate components without leaving Slack, potentially supporting workflow automation and asynchronous design feedback.","intents":["I want to generate a component from Slack without switching to v0.dev","I need to share generated components with my team via Slack","I want to automate component generation as part of my Slack workflow"],"best_for":["teams using Slack as primary communication hub","organizations wanting to embed design workflows into Slack","distributed teams needing quick component generation without context switching"],"limitations":["Slack integration scope undocumented — unclear if full generation capabilities are available or limited subset","No documentation on slash commands, message actions, or bot interactions","Unclear if generated code is shared in Slack thread or requires switching to v0.dev for full editor","No mention of Slack workspace permissions or multi-workspace support","Unclear how credits/billing are handled for Slack-initiated generations"],"requires":["Slack workspace with v0 app installed","Vercel v0 account linked to Slack","Active credits for generation"],"input_types":["slack-message (natural language prompt or attachment)"],"output_types":["slack-thread (generated code or preview link)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vercel-v0__cap_13","uri":"capability://automation.workflow.message.rate.limiting.and.credit.system","name":"message-rate-limiting-and-credit-system","description":"Implements hard rate limits and credit-based consumption model to control usage and monetize the service. Free tier: 7 messages/day limit + $5 monthly credits. Team plan: $30/month credits + $2 daily renewable credits. Business plan: $100/month credits + training opt-out. Exceeding daily/monthly limits or credit balance triggers paywall. Message consumption varies by model tier and prompt complexity; specific token-to-message mapping undocumented.","intents":["I want to understand how many components I can generate with my plan","I need to manage team spending on component generation","I want to know when I'll hit rate limits or credit exhaustion"],"best_for":["organizations managing AI tool budgets","teams needing predictable monthly costs","users wanting to avoid surprise overage charges"],"limitations":["Free tier (7 messages/day) forces upgrade for daily users — paywall trigger is aggressive","Token consumption per message not documented — unclear how many credits each generation costs","No usage alerts or spending caps — users can exceed budget without warning","Daily renewable credits ($2/day on Team plan) may not align with actual usage patterns","Message-to-token mapping unclear — 'Why do messages use so many input tokens?' suggests hidden context inflation","No rollover of unused daily credits — $2/day credits expire if not used"],"requires":["Vercel account","Active plan (free, Team, Business, or Enterprise)","Understanding of credit consumption (not clearly documented)"],"input_types":["plan-selection"],"output_types":["rate-limit-status (messages remaining, credits remaining)"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vercel-v0__cap_14","uri":"capability://code.generation.editing.ios.mobile.app.for.component.creation","name":"ios-mobile-app-for-component-creation","description":"Provides an iOS app that allows users to create and refine components on mobile devices. The app supports natural language prompts, screenshot input, and chat-based refinement, with feature parity to the web version (exact feature parity unknown). Users can generate components on-the-go and sync them to their v0 projects.","intents":["I want to create components on my iPhone or iPad while away from my desk","I need to capture a screenshot of a design and generate code immediately","I want to iterate on components using mobile-friendly chat interface"],"best_for":["mobile-first teams who want to work on components from anywhere","designers who want to capture design inspiration and convert to code immediately","product managers reviewing prototypes on mobile devices"],"limitations":["Feature parity with web version is unknown — some capabilities may be missing or limited on mobile","Mobile screen size may limit the usefulness of live preview for complex components","Chat-based refinement on mobile may be slower due to smaller keyboard and input constraints","Deployment and GitHub sync capabilities on mobile are unknown","iOS-only (no Android app mentioned) — limits accessibility for Android users"],"requires":["iOS device (iPhone or iPad, minimum version unknown)","v0 account with token credits","App Store access to download v0 app"],"input_types":["text (natural language prompts via mobile keyboard)","screenshots (captured from device camera or photo library)","optional: voice input (if supported, not mentioned)"],"output_types":["generated React code (synced to v0 projects)","live preview (on mobile screen)","chat history (stored in v0)"],"categories":["code-generation-editing","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vercel-v0__cap_2","uri":"capability://code.generation.editing.iterative.chat.based.component.refinement","name":"iterative-chat-based-component-refinement","description":"Enables multi-turn conversation to refine generated components through natural language feedback. User describes changes ('make the button larger', 'change colors to blue'), system regenerates code with modifications, and live preview updates in real-time. Maintains conversation history and context across turns using prompt caching to reduce token costs on repeated context (cache reads at $0.10-$3/1M tokens vs. standard input at $1-$30/1M).","intents":["I want to tweak a generated component without rewriting the entire prompt","I need to iterate on design details through conversation rather than re-prompting from scratch","I want to maintain design consistency across multiple refinement rounds without losing context"],"best_for":["designers iterating on component appearance","product managers refining UI behavior through conversation","teams collaborating on component design via chat interface"],"limitations":["Context window limit (unknown token count) constrains conversation length; very long chat histories may trigger 'Maximum context limit reached' error","Prompt caching optimizes cost but doesn't eliminate window constraints","No persistent conversation state — closing browser may lose chat history (persistence mechanism unknown)","Chat-based refinement slower than direct code editing for engineers familiar with React/Tailwind","Ambiguous natural language requests may require multiple clarification rounds"],"requires":["Vercel v0 account with active credits","Initial component generated (from text, screenshot, or Figma)","Browser session with chat interface open"],"input_types":["text (natural language refinement requests)"],"output_types":["JSX (updated React component code)","HTML (live preview of changes)"],"categories":["code-generation-editing","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vercel-v0__cap_3","uri":"capability://code.generation.editing.visual.design.editor.with.live.preview","name":"visual-design-editor-with-live-preview","description":"Provides drag-and-drop visual editor for fine-tuning generated components without touching code. Allows adjusting colors, typography, spacing, and component properties through UI controls; changes render instantly in live preview. Integrates with design system management to define project-wide color palettes and typography rules that propagate to generated components.","intents":["I want to adjust component styling visually without editing Tailwind classes","I need to define a design system (colors, fonts) and apply it across all generated components","I want to see changes in real-time as I adjust component properties"],"best_for":["designers comfortable with visual tools but not code","product managers fine-tuning component appearance","teams maintaining design consistency across projects"],"limitations":["Visual editor limited to Tailwind CSS properties — cannot add custom CSS or preprocessors","Design system changes don't retroactively update previously generated components","Complex layout patterns (CSS Grid, Flexbox edge cases) may not be fully editable via visual interface","No support for CSS-in-JS, SASS, or other styling approaches","Visual editor may lag with very large components (>1000 lines of code)"],"requires":["Vercel v0 account","Generated component in editor","Modern browser with CSS rendering support"],"input_types":["UI interactions (drag, click, input fields)"],"output_types":["Tailwind CSS (updated styling)","HTML (live preview)"],"categories":["code-generation-editing","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vercel-v0__cap_4","uri":"capability://tool.use.integration.github.bidirectional.code.sync","name":"github-bidirectional-code-sync","description":"Syncs generated code to GitHub repositories and pulls repository context for code generation. Pushes generated components to specified branch, creates pull requests, and maintains commit history. Pulls existing code from repos to provide context for new generations, enabling code-aware component scaffolding. One-way push for generated code (no pull-to-regenerate workflow mentioned).","intents":["I want to push generated components directly to my GitHub repo without manual copy-paste","I need to generate components that fit my existing codebase structure and conventions","I want to maintain version history of generated code in Git"],"best_for":["engineers integrating v0 into existing GitHub workflows","teams using GitHub as source of truth for code","projects requiring audit trail of generated code changes"],"limitations":["One-way push only — no pull-to-regenerate workflow; changes to GitHub code don't trigger re-generation","Context pulled from GitHub may exceed context window limit for large repositories","No support for monorepos or complex branch strategies (specific limitations unknown)","GitHub sync requires authentication and repository write permissions","PR creation may conflict with existing CI/CD workflows or branch protection rules"],"requires":["GitHub account with repository access","GitHub token with repo write permissions","Vercel v0 account","Repository must be public or v0 must have access credentials"],"input_types":["github-repository (for context)","generated-code (from v0 editor)"],"output_types":["git-commit (pushed to repository)","pull-request (optional)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vercel-v0__cap_5","uri":"capability://automation.workflow.one.click.vercel.deployment","name":"one-click-vercel-deployment","description":"Deploys generated React applications directly to Vercel infrastructure with a single click. Automatically configures Next.js runtime, environment variables, and custom domains. Generates shareable preview URLs for stakeholder feedback. No manual deployment configuration required; leverages Vercel's serverless platform for hosting.","intents":["I want to deploy a generated component as a live URL without setting up hosting","I need to share a working prototype with stakeholders immediately","I want to iterate on a deployed app without managing infrastructure"],"best_for":["product managers sharing prototypes with stakeholders","designers validating designs in production environment","teams needing rapid deployment without DevOps overhead"],"limitations":["Deployment locked to Vercel platform — no export to AWS, GCP, Netlify, or self-hosted infrastructure","Custom domains require Vercel account and DNS configuration","Serverless cold starts may impact performance for infrequently-accessed apps","No support for persistent databases or long-running background jobs (serverless constraints)","Deployment logs and monitoring limited to Vercel dashboard"],"requires":["Vercel account (free tier available)","Generated React component or full-page app","Sufficient Vercel deployment quota"],"input_types":["generated-react-code"],"output_types":["deployed-url (live preview)","shareable-link"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vercel-v0__cap_6","uri":"capability://code.generation.editing.full.stack.app.generation.with.database.integration","name":"full-stack-app-generation-with-database-integration","description":"Generates complete full-stack applications including React frontend, backend API routes, and database schema integration. Claims to 'plan, create tasks, and connect to databases' with workflow: Web → Plan → DB → API → Deploy. Supports Snowflake integration for data science use cases (Python + SQL). Specific backend generation capabilities and database adapters unknown; mechanism for 'automatic integration without accounts required' undocumented.","intents":["I want to generate a complete app with frontend, backend, and database without writing boilerplate","I need to create a data dashboard that queries Snowflake and visualizes results","I want to scaffold a full-stack prototype with API endpoints and database schema"],"best_for":["data scientists building SQL/Python dashboards with Snowflake","full-stack engineers prototyping complete applications","teams needing rapid full-stack scaffolding"],"limitations":["Agentic capabilities ('plans, creates tasks, connects to databases') lack documented implementation details — actual autonomy level unknown","Backend generation scope unknown — unclear if API routes, authentication, or complex business logic are generated","Database adapter support unknown — only Snowflake mentioned; unclear if PostgreSQL, MySQL, MongoDB supported","No documentation on error recovery or multi-step reasoning in agentic mode","Mechanism for 'automatic integration without accounts required' undocumented — may require manual credential setup","No mention of testing, migrations, or database versioning support"],"requires":["Vercel v0 account with sufficient credits","Database credentials (if connecting to existing database)","Snowflake account (for data science use cases)","API keys for external services (if integrating)"],"input_types":["text (natural language app description)","database-schema (existing database structure)"],"output_types":["JSX (React frontend)","API-routes (backend endpoints, format unknown)","database-schema (SQL or schema definition)"],"categories":["code-generation-editing","planning-reasoning","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vercel-v0__cap_7","uri":"capability://code.generation.editing.screenshot.to.component.cloning","name":"screenshot-to-component-cloning","description":"Analyzes screenshots or images of UI components and generates React code that replicates the visual design. Extracts layout, colors, typography, and component structure from image pixels using vision capabilities. Outputs shadcn/ui-based React components with Tailwind CSS styling that approximates the visual appearance of the screenshot.","intents":["I have a screenshot of a component I like and want to generate React code for it","I want to clone a competitor's UI design and adapt it for my project","I need to convert a mobile app screenshot into a web component"],"best_for":["designers reverse-engineering UI patterns","product managers prototyping based on reference designs","developers quickly scaffolding components from visual references"],"limitations":["Pixel-perfect accuracy not guaranteed — generated code approximates visual appearance but may not match exactly","Complex interactions or animations in screenshot cannot be inferred from static image","Image quality and resolution affect accuracy — low-res screenshots produce less accurate code","Cannot extract custom fonts or non-standard design systems from screenshots","Generated code uses shadcn/ui components — may not match custom component libraries in original design"],"requires":["Screenshot or image file (PNG, JPG, WebP)","Vercel v0 account with sufficient credits","Image must be clear and well-lit for accurate analysis"],"input_types":["image (screenshot, mockup, or reference design)"],"output_types":["JSX (React component code)","Tailwind CSS (styling)"],"categories":["code-generation-editing","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vercel-v0__cap_8","uri":"capability://automation.workflow.token.based.pay.per.use.pricing.with.model.selection","name":"token-based-pay-per-use-pricing-with-model-selection","description":"Implements four-tier LLM pricing model (v0 Mini/Pro/Max/Max Fast) with input/output token costs ranging from $1-$30 input and $5-$150 output per 1M tokens. Users select model tier per generation based on quality/speed/cost tradeoff. v0 Max Fast trades 6x higher token cost for 2.5x faster output. Prompt caching reduces cost of repeated context (write: $1.25-$37.50/1M, read: $0.10-$3/1M). Free tier includes $5 monthly credits; Team plan ($30/user/month) includes $30 monthly credits plus $2 daily renewable credits.","intents":["I want to choose between faster (Max Fast) and cheaper (Mini) models based on my budget","I need to understand token costs before generating components","I want to optimize costs for iterative workflows using prompt caching"],"best_for":["cost-conscious teams optimizing token spend","enterprises with budget constraints requiring model selection","users iterating frequently who benefit from prompt caching discounts"],"limitations":["Token consumption per prompt not documented — docs note 'Why do messages use so many input tokens? My prompts are short?' suggesting hidden context inflation","Free tier ($5 credits) supports only 1-5 full component generations depending on model choice","v0 Max Fast costs 6x more per token — only economical for time-sensitive workflows","Prompt caching requires repeated context to be cost-effective; one-off generations don't benefit","No usage alerts or spending caps — users can exceed budget without warning","Team plan credits ($30/month) may be insufficient for heavy users; overage pricing not clearly documented"],"requires":["Vercel account","Active credits (free tier, paid plan, or pay-per-token)","Understanding of token economics (not provided in UI)"],"input_types":["model-selection (Mini/Pro/Max/Max Fast)"],"output_types":["cost-estimate (tokens consumed, price)"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vercel-v0__cap_9","uri":"capability://tool.use.integration.team.collaboration.with.shared.chat.history","name":"team-collaboration-with-shared-chat-history","description":"Enables teams to share component generation chats, collaborate on refinements, and maintain shared design context. Team members can view, comment on, and iterate on generated components within shared chat threads. Requires Team plan ($30/user/month) or higher; free tier does not support sharing. Shared context persists across team members, reducing duplicate work and maintaining design consistency.","intents":["I want to share a component generation with my team for feedback","I need my team to iterate on a design together without duplicating work","I want to maintain a shared library of generated components for the team"],"best_for":["design teams collaborating on component libraries","product teams aligning on UI before development","distributed teams needing asynchronous design feedback"],"limitations":["Sharing requires Team plan ($30/user/month) — free tier does not support collaboration","No role-based access control mentioned — unclear if team members can have different permissions","No component versioning or branching — unclear how conflicts are resolved when multiple users edit same component","Shared chat history may accumulate large context, potentially exceeding context window limits","No audit trail of who made which changes (change attribution unknown)"],"requires":["Vercel v0 Team plan ($30/user/month) or higher","Team members with Vercel accounts","Shared workspace or organization"],"input_types":["chat-link (shareable URL)"],"output_types":["shared-chat (accessible to team members)","component-code (editable by team)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vercel-v0__headline","uri":"capability://code.generation.editing.ai.powered.ui.component.generator","name":"ai-powered ui component generator","description":"Vercel v0 is an AI-powered tool that generates React and Tailwind CSS code from natural language descriptions, enabling rapid UI development and deployment.","intents":["best AI UI generator","AI tool for generating React components","how to create UI with AI","AI-driven web app development tools","top tools for rapid UI prototyping"],"best_for":["developers","designers"],"limitations":["may struggle with complex UI designs"],"requires":["basic knowledge of React and Tailwind CSS"],"input_types":["natural language descriptions"],"output_types":["React code","Tailwind CSS styling"],"categories":["code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":54,"verified":false,"data_access_risk":"high","permissions":["Vercel account (free tier available)","Natural language description or screenshot of desired component","Sufficient credits ($5 free tier, $30/month Team plan, or pay-per-token with v0 Mini/Pro/Max)","Modern browser with JavaScript enabled","Figma account with access to design file","Figma file must be shared or accessible via link","Vercel v0 account with sufficient credits","Business plan ($100/user/month) or Enterprise contract","Organizational Vercel account","Legal review of data handling terms"],"failure_modes":["Output locked to React + Tailwind + shadcn/ui stack — no Vue, Svelte, Angular, or custom CSS frameworks","Context window limit exists but specific token count unknown; 'Maximum context limit reached' error occurs with large projects","Generated code uses only shadcn/ui component library — cannot integrate custom component libraries or design systems","No TypeScript support mentioned; output is JSX without type definitions","Prompt caching reduces cost but doesn't eliminate context window constraints for very large codebases","One-way conversion only — changes to Figma designs don't update generated code; requires manual re-import","Design system changes in Figma don't retroactively apply to previously generated components","Complex Figma interactions (animations, prototypes) not converted to React equivalents","Figma components with custom plugins or advanced constraints may not translate accurately","No support for Figma variables or design tokens in generated code","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.7,"quality":0.9,"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":"2026-05-24T12:16:34.118Z","last_scraped_at":null,"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=vercel-v0","compare_url":"https://unfragile.ai/compare?artifact=vercel-v0"}},"signature":"DCmgJSPZ8Nix4i5e5lgGg+BgCahlB8n5qQNMIP38PsZC7mAm5V8lMytOmO+e4sybTf0+8t4mrFg+yr5hbVC6DA==","signedAt":"2026-06-19T22:54:24.066Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/vercel-v0","artifact":"https://unfragile.ai/vercel-v0","verify":"https://unfragile.ai/api/v1/verify?slug=vercel-v0","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"}}