{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"v0-vercel","slug":"v0","name":"v0","type":"product","url":"https://v0.dev","page_url":"https://unfragile.ai/v0","categories":["app-builders","deployment-infra","testing-quality"],"tags":["vercel","react","nextjs","ui generation","tailwind","shadcn","frontend"],"pricing":{"model":"freemium","free":true,"starting_price":"$20/mo"},"status":"active","verified":false},"capabilities":[{"id":"v0-vercel__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 using an LLM that outputs JSX code with Tailwind CSS classes and shadcn/ui component references. The system processes prompts through tiered models (Mini/Pro/Max/Max Fast) with prompt caching enabled, rendering output in a live preview environment. Generated code is immediately copy-paste ready or deployable to Vercel without modification.","intents":["I want to describe a button component and get working React code without writing JSX manually","I need to generate a dashboard layout from a text description in seconds","I want to create a form component with validation without boilerplate"],"best_for":["frontend developers accelerating component scaffolding","designers converting mockups to production React without learning JSX syntax","product managers prototyping features for stakeholder feedback"],"limitations":["React/Next.js framework lock-in — no Vue, Svelte, Angular, or non-JS framework support","Complex business logic generation not supported — best for UI-only components","Context window constraints cause 'Maximum context limit reached' errors on large prompts","No TypeScript type generation or prop validation beyond basic React patterns"],"requires":["Active v0 account (free tier: 7 messages/day; paid: $30+/month)","Next.js project or Vercel deployment target","shadcn/ui component library pre-installed in target project"],"input_types":["natural language text prompt","screenshot/image of design","Figma file (direct import)","file attachments (generic)"],"output_types":["JSX React component code","Tailwind CSS inline classes","shadcn/ui component references","Next.js page templates"],"categories":["code-generation-editing","ui-generation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"v0-vercel__cap_1","uri":"capability://code.generation.editing.iterative.ui.refinement.via.chat","name":"iterative-ui-refinement-via-chat","description":"Enables multi-turn conversation with the AI to adjust generated components through natural language commands. Users can request layout changes, styling modifications, feature additions, or component swaps without re-prompting from scratch. The system maintains context across messages and re-renders the preview in real-time, allowing designers and developers to converge on desired output through dialogue rather than trial-and-error.","intents":["I want to adjust the spacing and colors of a generated component without rewriting the prompt","I need to add a new feature to a component and have the AI update only that section","I want to swap out a component library element for a different one mid-project"],"best_for":["designers iterating on visual details without coding knowledge","developers rapidly prototyping UI variations","teams collaborating on component refinement in real-time"],"limitations":["Message limits enforced: free tier 7/day, paid tiers $2-$30 daily credits","Each refinement message consumes tokens at model-specific rates (Mini $1/1M input, Max $5/1M input)","Context window constraints mean very large components may lose context mid-conversation","No persistent conversation history across sessions — each new project starts fresh"],"requires":["Active v0 session with generated component","Sufficient daily message credits remaining","Live preview environment (browser-based)"],"input_types":["natural language instruction","screenshot of desired change","design specification"],"output_types":["updated JSX code","re-rendered preview","Tailwind CSS modifications"],"categories":["code-generation-editing","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"v0-vercel__cap_10","uri":"capability://planning.reasoning.agentic.planning.and.task.decomposition","name":"agentic-planning-and-task-decomposition","description":"Claims to use agentic capabilities to plan, create tasks, and decompose complex projects into steps before code generation. The system analyzes requirements, breaks them into subtasks, and executes them sequentially — theoretically enabling generation of larger, more complex applications. However, specific implementation details (planning algorithm, task representation, execution strategy) are not documented.","intents":["I want to describe a complex app and have v0 break it into components automatically","I need v0 to plan the architecture before generating code","I want the AI to handle multi-step projects without manual task breakdown"],"best_for":["developers building complex applications","teams wanting AI-assisted architecture planning","users generating large projects in one prompt"],"limitations":["Agentic capabilities are mentioned in marketing but not documented technically","No visibility into planning process or task decomposition strategy","No control over how tasks are broken down or prioritized","Unclear how planning interacts with context window limits","No evidence of actual agentic behavior in public documentation"],"requires":["v0 account (feature availability unclear)","Complex project description"],"input_types":["natural language project description"],"output_types":["task decomposition (if visible)","generated code","multi-component project"],"categories":["planning-reasoning","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"v0-vercel__cap_11","uri":"capability://code.generation.editing.multi.file.context.aware.generation","name":"multi-file-context-aware-generation","description":"Accepts file attachments and maintains context across multiple files, enabling generation of components that reference existing code, styles, or data structures. Users can upload project files, design tokens, or component libraries, and v0 generates code that integrates with existing patterns. This allows generated components to fit seamlessly into existing codebases rather than existing in isolation.","intents":["I want to generate a component that matches my existing design system and code style","I need v0 to understand my project structure and generate code that fits","I want to upload my component library and have v0 use it in generated code"],"best_for":["developers integrating v0 into existing projects","teams with established design systems and code patterns","projects requiring consistency with existing code"],"limitations":["Context window limits cause 'Maximum context limit reached' errors on large file uploads","No clear guidance on file size limits or supported file types","Context from uploaded files may be lost in multi-turn conversations","No persistent file storage — files must be re-uploaded for each session"],"requires":["v0 account with file upload capability","Project files or design tokens to upload","Sufficient context window for file content"],"input_types":["file attachments (CSS, JS, JSON, design tokens, etc.)","natural language prompt"],"output_types":["context-aware React code","integrated component"],"categories":["code-generation-editing","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"v0-vercel__cap_12","uri":"capability://automation.workflow.credit.based.token.metering.with.daily.limits","name":"credit-based-token-metering-with-daily-limits","description":"Implements a credit-based system where users receive daily free credits (Free: $5/month, Team: $2/day, Business: $2/day) and can purchase additional credits. Each message consumes tokens at model-specific rates, with costs deducted from the credit balance. Daily limits enforce hard cutoffs (Free tier: 7 messages/day), preventing overages and controlling costs. This creates a predictable, bounded cost model for users.","intents":["I want to use v0 without worrying about surprise bills","I need to control my team's spending on v0 with daily limits","I want to understand exactly how much each component generation costs"],"best_for":["cost-conscious individual developers","teams with limited budgets","organizations requiring spending controls"],"limitations":["Free tier 7 message/day limit is restrictive for active development","Token consumption is unpredictable — short prompts sometimes use many tokens (documented in FAQ)","Credit expiration policy is mentioned but details not provided","No ability to set spending caps or alerts beyond daily limits","Unused daily credits do not roll over (implied by daily allocation)"],"requires":["v0 account","Payment method (for paid tiers)","Understanding of token pricing per model"],"input_types":["model selection","prompt"],"output_types":["token usage metrics","credit balance","cost breakdown"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"v0-vercel__cap_13","uri":"capability://safety.moderation.enterprise.data.privacy.with.training.opt.out","name":"enterprise-data-privacy-with-training-opt-out","description":"Offers an Enterprise plan that guarantees 'Your data is never used for training', providing data privacy assurance for organizations with sensitive IP or compliance requirements. Free, Team, and Business plans explicitly use data for training, while Enterprise provides opt-out. This enables organizations to use v0 without contributing to model training, addressing privacy and IP concerns.","intents":["I want to use v0 without my code being used to train models","I need compliance guarantees that my data won't be shared for training","I want to protect proprietary code and design patterns from being used in model training"],"best_for":["enterprises with IP protection requirements","organizations with compliance mandates (HIPAA, SOC 2, etc.)","teams working on confidential projects"],"limitations":["Enterprise plan pricing is custom — no public pricing available","Data privacy guarantee is limited to training; data retention and deletion policies are not specified","No transparency into what 'never used for training' means operationally","Free/Team/Business plans explicitly use data for training — no opt-out available"],"requires":["Enterprise plan subscription","Custom contract negotiation with Vercel"],"input_types":["generated code and prompts"],"output_types":["data privacy guarantee","training opt-out"],"categories":["safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"v0-vercel__cap_14","uri":"capability://code.generation.editing.live.preview.rendering.with.real.time.updates","name":"live-preview-rendering-with-real-time-updates","description":"Renders generated React components in a live preview environment that updates in real-time as code is modified or refined. Users see visual output immediately without needing to run a local development server, enabling instant feedback on changes. This preview environment is browser-based and integrated into the v0 UI, eliminating the build-test-iterate cycle.","intents":["I want to see how a generated component looks without running a dev server","I need instant visual feedback as I refine a component","I want to preview changes before copying code to my project"],"best_for":["designers iterating on visual output","developers validating generated code quickly","teams collaborating on component refinement"],"limitations":["Preview environment is browser-based — cannot test backend logic or API calls","No ability to test with real data or dynamic content","Preview may not reflect exact behavior in production Next.js environment","No debugging tools or console access in preview"],"requires":["v0 editor with generated component","Modern browser with JavaScript enabled"],"input_types":["generated React code"],"output_types":["rendered component preview","visual output"],"categories":["code-generation-editing","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"v0-vercel__cap_2","uri":"capability://code.generation.editing.figma.to.react.design.import","name":"figma-to-react-design-import","description":"Accepts Figma file URLs or direct Figma page imports and converts design mockups into React component code. The system analyzes Figma layers, typography, colors, spacing, and component hierarchy, then generates corresponding React/Tailwind code that mirrors the visual design. This bridges the designer-to-developer handoff by eliminating manual translation of Figma specs into code.","intents":["I have a Figma design and want to convert it to production React code automatically","I want to clone a Figma page and get working React components that match the design","I need to sync design changes from Figma into code without manual rework"],"best_for":["design teams working in Figma who want code output without developer handoff","agencies converting client designs to React quickly","product teams maintaining design-code parity"],"limitations":["Figma-to-code conversion accuracy depends on design complexity — intricate interactions or custom shapes may not translate perfectly","No two-way sync — changes in Figma require re-import and regeneration","Advanced Figma features (prototypes, interactions, variables) are not converted to React logic","Custom fonts or design tokens in Figma may not map to Tailwind equivalents automatically"],"requires":["Figma file with view/edit permissions","Figma URL or direct file import capability","v0 account with sufficient credits"],"input_types":["Figma file URL","Figma page/frame selection","design mockup"],"output_types":["React component code","Tailwind CSS styling","shadcn/ui component references","color and typography mappings"],"categories":["code-generation-editing","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"v0-vercel__cap_3","uri":"capability://code.generation.editing.screenshot.based.ui.generation","name":"screenshot-based-ui-generation","description":"Accepts uploaded screenshots or images of UI designs and generates React component code that replicates the visual layout and styling. The system performs visual analysis on the image to extract layout structure, colors, typography, and component patterns, then outputs corresponding JSX and Tailwind CSS. This enables designers to convert existing designs (from competitors, mockups, or reference images) into working React code.","intents":["I have a screenshot of a design and want to convert it to React code","I want to recreate a competitor's UI as a React component for reference","I need to turn a hand-drawn or wireframe image into working code"],"best_for":["designers converting visual references to code","developers recreating UI from screenshots or mockups","teams prototyping based on existing design inspiration"],"limitations":["OCR accuracy for text extraction depends on image quality and resolution","Complex layouts with overlapping elements may be misinterpreted","Images with low contrast or poor quality produce lower-fidelity output","No ability to extract actual content from screenshots — only visual structure"],"requires":["Image file (PNG, JPG, WebP, etc.)","Minimum image resolution for accurate analysis","v0 account with available credits"],"input_types":["screenshot image","design mockup image","wireframe image","reference UI image"],"output_types":["React component code","Tailwind CSS classes","shadcn/ui component references","layout structure"],"categories":["code-generation-editing","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"v0-vercel__cap_4","uri":"capability://automation.workflow.one.click.vercel.deployment","name":"one-click-vercel-deployment","description":"Automatically deploys generated React/Next.js code to Vercel infrastructure with a single click, eliminating manual build, configuration, and deployment steps. The system creates a Vercel project, pushes code to a GitHub repository (if connected), and provisions hosting — all without leaving the v0 interface. Generated code is immediately live and accessible via a Vercel URL.","intents":["I want to deploy a generated component to production instantly without setup","I need to share a working prototype URL with stakeholders immediately","I want to avoid manual Vercel configuration and GitHub push steps"],"best_for":["product managers and designers sharing prototypes with non-technical stakeholders","developers rapidly deploying MVPs and prototypes","teams iterating on designs with live preview URLs"],"limitations":["Vercel free tier applies — production apps require paid Vercel plan for custom domains and higher limits","Deployment only works for Next.js projects — other frameworks require manual setup","No environment variable management or secrets configuration in v0 UI","Database connectivity requires manual configuration post-deployment"],"requires":["Vercel account (free or paid)","GitHub account (for code repository)","Generated Next.js project code"],"input_types":["generated React/Next.js code"],"output_types":["live Vercel URL","GitHub repository","deployed Next.js application"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"v0-vercel__cap_5","uri":"capability://tool.use.integration.github.repository.sync","name":"github-repository-sync","description":"Syncs generated React/Next.js code directly to GitHub repositories, enabling version control, team collaboration, and CI/CD integration. Users can push code to existing repositories or create new ones, maintaining a single source of truth for component code. This integrates v0 output into standard developer workflows without manual file management.","intents":["I want to push generated components to my GitHub repo automatically","I need to version control v0 output alongside my existing codebase","I want to trigger CI/CD pipelines when v0 generates new code"],"best_for":["development teams using GitHub for version control","teams with CI/CD pipelines that need to integrate generated code","developers maintaining component libraries"],"limitations":["Requires GitHub account and repository access permissions","No conflict resolution if code has been modified in GitHub since v0 generation","Commit messages and branch strategy are not customizable in v0 UI","No support for other version control systems (GitLab, Bitbucket, etc.)"],"requires":["GitHub account with repository access","GitHub OAuth connection to v0","Existing or new GitHub repository"],"input_types":["generated React/Next.js code","repository URL"],"output_types":["GitHub commit","code in repository","pull request (optional)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"v0-vercel__cap_6","uri":"capability://code.generation.editing.design.mode.visual.editor","name":"design-mode-visual-editor","description":"Provides a browser-based visual editor for fine-tuning generated components without touching code. Users can adjust colors, typography, spacing, and layout through a GUI, with changes reflected in real-time preview and code output. This enables non-technical users to customize components visually while maintaining code quality, and allows developers to iterate on styling without manual CSS editing.","intents":["I want to adjust colors and spacing visually without editing Tailwind classes","I need to change typography across a component without code knowledge","I want to define a design system (colors, fonts) and apply it to multiple components"],"best_for":["designers customizing components without coding","developers iterating on styling visually","teams defining and applying design systems"],"limitations":["Design Mode capabilities are not fully documented — 'fine-tune every detail' is vague","Limited to visual properties — cannot modify component structure or logic","Design system definitions are project-scoped, not reusable across projects","No export of design tokens or design system specifications"],"requires":["Generated component in v0 editor","Live preview environment","Design Mode feature enabled (available on all tiers)"],"input_types":["visual adjustments (color picker, spacing slider, font selector)"],"output_types":["updated Tailwind CSS classes","modified JSX code","design system definitions"],"categories":["code-generation-editing","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"v0-vercel__cap_7","uri":"capability://code.generation.editing.tiered.model.selection.with.speed.quality.tradeoff","name":"tiered-model-selection-with-speed-quality-tradeoff","description":"Offers four LLM model tiers (Mini/Pro/Max/Max Fast) with explicit speed-vs-quality tradeoffs, allowing users to choose based on task complexity and time constraints. Mini is fastest but lowest quality; Max is highest quality but slowest; Max Fast provides maximum quality at 2.5x faster speed. Token pricing varies by tier ($1-$150 per 1M output tokens), enabling cost-conscious users to select appropriate models for each task.","intents":["I want to generate a simple button quickly and cheaply using Mini model","I need maximum quality for a complex dashboard and don't mind waiting","I want the best quality with fast output for iterating on a component"],"best_for":["cost-conscious developers generating simple components","teams with time-sensitive prototyping needs","users optimizing for quality on complex tasks"],"limitations":["Underlying LLM models are not disclosed — v0 does not specify if Mini/Pro/Max use Claude, GPT-4, or proprietary models","No guidance on which model to use for specific tasks — users must experiment","Token consumption varies unpredictably — short prompts sometimes use many tokens (documented in FAQ)","Max Fast is 2.5x faster but pricing is 6x higher than Max ($150/1M vs $25/1M output tokens)"],"requires":["v0 account with sufficient credits for selected model","Understanding of token pricing and consumption patterns"],"input_types":["model selection (dropdown)","prompt"],"output_types":["React component code","token usage metrics"],"categories":["code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"v0-vercel__cap_8","uri":"capability://memory.knowledge.prompt.caching.for.token.efficiency","name":"prompt-caching-for-token-efficiency","description":"Implements prompt caching (evidenced by pricing tiers for 'Cache Write Tokens' and 'Cache Read Tokens') to reduce token consumption on repeated context. When users iterate on components or refine designs, cached prompts are reused rather than re-processed, reducing input token costs by up to 90%. This is particularly valuable for multi-turn conversations where context is repeated across messages.","intents":["I want to iterate on a component without paying full token cost for repeated context","I need to refine a design multiple times without token consumption skyrocketing","I want to reuse component context across multiple related projects"],"best_for":["users with heavy iteration workflows","teams generating multiple components from similar context","cost-conscious users optimizing token consumption"],"limitations":["Prompt caching is not documented in user-facing docs — only visible in pricing","Cache hit rates and TTL (time-to-live) are not specified","No user control over caching strategy — automatic and opaque","Cache read tokens are cheaper but still incur cost ($0.10-$3/1M depending on model)"],"requires":["Multi-turn conversation or repeated context","v0 account with sufficient credits"],"input_types":["repeated prompts or context"],"output_types":["reduced token consumption","cost savings on input tokens"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"v0-vercel__cap_9","uri":"capability://code.generation.editing.full.stack.api.route.generation","name":"full-stack-api-route-generation","description":"Claims to generate Next.js API routes and database connectivity automatically as part of full-stack generation. The system can create backend endpoints that connect to databases, though specific database support, schema generation, and ORM integration are not documented. This extends v0 beyond frontend-only generation to include basic backend scaffolding, though implementation details are opaque.","intents":["I want to generate both UI and API routes for a full-stack prototype","I need a backend endpoint to connect my generated component to a database","I want to scaffold a complete app with frontend and backend in one go"],"best_for":["developers prototyping full-stack MVPs quickly","teams building simple CRUD applications","product managers validating end-to-end features"],"limitations":["Full-stack capabilities are poorly documented — no specifics on supported databases, ORMs, or schema generation","Complex business logic is not supported — only basic CRUD operations","No authentication/authorization scaffolding mentioned","Database connectivity requires manual configuration post-deployment","No migration or schema versioning support"],"requires":["v0 account with full-stack feature enabled","Database connection details (if using external DB)","Next.js project"],"input_types":["natural language description of data model","database schema specification"],"output_types":["Next.js API routes","database connection code","CRUD endpoint scaffolding"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"v0-vercel__headline","uri":"capability://code.generation.editing.ai.powered.ui.generation.tool.for.react.and.next.js","name":"ai-powered ui generation tool for react and next.js","description":"v0 by Vercel is an AI-driven tool that generates production-quality React components and Next.js pages based on user descriptions, making UI development faster and more efficient for frontend developers and designers.","intents":["best AI UI generator","AI tool for React component creation","Next.js page generator for rapid prototyping","frontend development tool for UI design","AI solution for Tailwind CSS integration"],"best_for":["frontend developers","designers"],"limitations":["limited to React/Next.js","less useful for other frameworks"],"requires":["basic understanding of React and Next.js"],"input_types":["user prompts describing UI components"],"output_types":["production-quality code in React and Tailwind CSS"],"categories":["code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":85,"verified":false,"data_access_risk":"high","permissions":["Active v0 account (free tier: 7 messages/day; paid: $30+/month)","Next.js project or Vercel deployment target","shadcn/ui component library pre-installed in target project","Active v0 session with generated component","Sufficient daily message credits remaining","Live preview environment (browser-based)","v0 account (feature availability unclear)","Complex project description","v0 account with file upload capability","Project files or design tokens to upload"],"failure_modes":["React/Next.js framework lock-in — no Vue, Svelte, Angular, or non-JS framework support","Complex business logic generation not supported — best for UI-only components","Context window constraints cause 'Maximum context limit reached' errors on large prompts","No TypeScript type generation or prop validation beyond basic React patterns","Message limits enforced: free tier 7/day, paid tiers $2-$30 daily credits","Each refinement message consumes tokens at model-specific rates (Mini $1/1M input, Max $5/1M input)","Context window constraints mean very large components may lose context mid-conversation","No persistent conversation history across sessions — each new project starts fresh","Agentic capabilities are mentioned in marketing but not documented technically","No visibility into planning process or task decomposition strategy","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.9,"quality":0.99,"ecosystem":0.55,"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=v0","compare_url":"https://unfragile.ai/compare?artifact=v0"}},"signature":"W8TJTOYY1liOOBzY4gXG07iehwGDEOUn88NVT4uvGWX5NeHtVHDr528TOddzcuizn5w5Tb/aUnMiPTP9onHMAQ==","signedAt":"2026-06-23T21:21:56.470Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/v0","artifact":"https://unfragile.ai/v0","verify":"https://unfragile.ai/api/v1/verify?slug=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"}}