{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"emergent-e2b","slug":"emergent-e2b","name":"Emergent (e2b)","type":"product","url":"https://emergent.sh","page_url":"https://unfragile.ai/emergent-e2b","categories":["app-builders"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"emergent-e2b__cap_0","uri":"capability://code.generation.editing.natural.language.to.full.stack.web.app.generation","name":"natural-language-to-full-stack-web-app-generation","description":"Converts natural language descriptions into deployable full-stack web applications by orchestrating multi-step code generation for React frontends and Node.js backends. Uses an iterative agent loop that interprets user intent, generates component hierarchies and API schemas, and produces executable code artifacts that are immediately deployable to cloud infrastructure. The agent maintains conversation context across multiple refinement turns to progressively improve the generated application.","intents":["I want to describe my app idea in plain English and get a working prototype without writing code","I need to quickly iterate on an app design based on feedback without touching the codebase","I want to generate a full-stack application with database schema, API endpoints, and UI components from a single description","I need to go from concept to deployed application in minutes, not days"],"best_for":["non-technical founders and idea builders prototyping MVPs","product managers validating concepts before engineering investment","solo developers wanting rapid scaffolding of full-stack applications"],"limitations":["Generated applications are basic CRUD-style apps; complex business logic, real-time features, or advanced state management require manual refinement","No control over generated code structure or architectural patterns — output follows opinionated conventions","Iterative refinement is conversational only; no direct code editing interface for precise control","Context window limitations on Free/Standard tiers (Pro tier has 1M context window) restrict complexity of applications that can be generated in single conversation","Generated applications lack production-grade error handling, logging, and monitoring"],"requires":["Active Emergent account (Free tier available with 10 monthly credits)","Natural language description of desired application (minimum ~50 words recommended for clarity)","Web browser access to Emergent interface","For deployed apps: internet connectivity and ability to access generated URLs"],"input_types":["natural language text description","iterative conversational refinements","feature requests and modification prompts"],"output_types":["React JSX/TypeScript frontend code","Node.js Express backend code","Database schema (SQL or document-based)","Deployed application URL","API endpoint documentation"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"emergent-e2b__cap_1","uri":"capability://planning.reasoning.iterative.conversational.app.refinement","name":"iterative-conversational-app-refinement","description":"Maintains multi-turn conversation context to enable progressive refinement of generated applications through natural language feedback. The agent parses user modification requests (e.g., 'add a dark mode', 'change the database to PostgreSQL', 'add authentication'), maps them to specific code sections, and regenerates only affected components rather than rebuilding the entire application. Context window size (1M tokens on Pro tier) determines the complexity of applications that can be refined in a single conversation.","intents":["I want to request changes to my generated app without starting over","I need to add features incrementally based on user feedback","I want to pivot the app design mid-development and have the agent adapt the code","I need to refine styling, layout, and user experience through conversational iteration"],"best_for":["product teams iterating on MVP features with stakeholder feedback","founders testing multiple design variations quickly","developers using Emergent as a rapid prototyping tool before handoff to engineering"],"limitations":["Context window constraints on Free (unspecified) and Standard (unspecified) tiers limit conversation length before context is lost; Pro tier's 1M context window still has practical limits for very large applications","Agent may lose track of earlier design decisions if conversation becomes too long, leading to inconsistent regenerations","No explicit version control or rollback mechanism — users cannot easily revert to previous iterations","Refinement requests must be phrased in natural language; no structured change specification format available","Complex architectural changes (e.g., switching from monolithic to microservices) may require starting a new conversation"],"requires":["Active conversation session with Emergent agent","Previously generated application to refine","Clear natural language description of desired changes","Sufficient remaining monthly credits (Free: 10, Standard: 100, Pro: 750)"],"input_types":["natural language modification requests","feature descriptions","design feedback","bug reports"],"output_types":["updated React/Node.js code","modified database schema","regenerated application URL","change summary"],"categories":["planning-reasoning","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"emergent-e2b__cap_10","uri":"capability://planning.reasoning.ultra.thinking.extended.reasoning.for.complex.generation","name":"ultra-thinking-extended-reasoning-for-complex-generation","description":"Pro tier feature (mentioned but not detailed) that likely enables extended reasoning or chain-of-thought processing for complex code generation tasks. The mechanism is not documented, but 'ultra thinking' suggests the agent performs deeper analysis before generating code, potentially improving code quality and architectural consistency for complex applications. Likely increases latency and credit consumption compared to standard generation.","intents":["I want the agent to think deeply about complex architectural decisions before generating code","I need higher-quality code generation for mission-critical applications","I want the agent to consider multiple design approaches and choose the best one","I need better error detection and validation during code generation"],"best_for":["Pro tier users building complex applications with strict quality requirements","teams where code quality is critical and generation speed is less important","developers wanting to leverage extended reasoning for architectural decisions"],"limitations":["Ultra thinking feature is not documented — mechanism, cost, and benefits are unknown","Likely increases latency significantly compared to standard generation","Likely increases credit consumption per operation","No documentation on when ultra thinking should be used vs standard generation","No visibility into reasoning process or decision-making logic","Unclear if ultra thinking applies to all generation or only specific operations"],"requires":["Pro tier Emergent account","Complex application or architectural decision requiring extended reasoning"],"input_types":["complex application description or refinement request"],"output_types":["code generated with extended reasoning","architectural recommendations (if documented)"],"categories":["planning-reasoning","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"emergent-e2b__cap_11","uri":"capability://safety.moderation.priority.support.and.soc2.compliance","name":"priority-support-and-soc2-compliance","description":"Pro tier feature providing priority support access and SOC 2 Type I compliance certification. Priority support likely includes faster response times and dedicated support channels. SOC 2 Type I compliance indicates the platform has been audited for security, availability, and confidentiality controls, though the scope and limitations of compliance are not documented. Compliance certification is relevant for organizations with regulatory or contractual security requirements.","intents":["I need faster support response times for production issues","I need to demonstrate security compliance to customers or regulators","I want assurance that Emergent meets enterprise security standards","I need documented security controls for audit or compliance purposes"],"best_for":["Pro tier users requiring enterprise-grade support","organizations with compliance requirements (healthcare, finance, etc.)","teams building customer-facing applications requiring security certification"],"limitations":["SOC 2 Type I compliance is point-in-time audit; does not guarantee ongoing compliance","Scope of SOC 2 audit is not documented — unclear which controls are covered","No documentation on data residency, encryption, or other security controls","Priority support SLA is not documented — unclear what 'priority' means in terms of response time","No documentation on support channels (email, chat, phone) or availability (business hours vs 24/7)","Compliance certification does not guarantee suitability for all regulated industries"],"requires":["Pro tier Emergent account","Compliance requirements or support needs that justify Pro tier cost"],"input_types":["support requests","compliance documentation requests"],"output_types":["support responses","SOC 2 compliance documentation"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"emergent-e2b__cap_12","uri":"capability://safety.moderation.priority.support.and.sla.guarantees","name":"priority-support-and-sla-guarantees","description":"Pro tier feature providing priority support and service level agreements, likely including faster response times, dedicated support channels, and uptime guarantees. Specific SLA terms (uptime percentage, response time), support channels (email, chat, phone), and escalation procedures are undocumented.","intents":["I want faster support responses when I encounter issues","I need guaranteed uptime and reliability for production applications","I want dedicated support for my team's Emergent usage"],"best_for":["teams running production applications requiring reliability","organizations with strict uptime requirements","Pro tier subscribers ($200/month) prioritizing support quality"],"limitations":["SLA terms completely unknown; no documentation of uptime guarantees or response time commitments","Support channels unknown; unclear what support options are available (email, chat, phone, dedicated account manager)","Escalation procedures unknown; unclear how critical issues are prioritized","Exclusive to Pro tier ($200/month); Standard and Free tier users have unknown support options","No documentation of support hours or availability","No comparison with Standard/Free tier support quality"],"requires":["Emergent Pro tier ($200/month minimum)","Support issue or question"],"input_types":["support requests","issue reports"],"output_types":["Priority support responses","SLA-backed uptime guarantees"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"emergent-e2b__cap_13","uri":"capability://automation.workflow.credit.based.usage.metering.and.cost.control","name":"credit-based-usage-metering-and-cost-control","description":"Implements a credit-based consumption model where code generation, deployment, and other operations consume monthly credit allocations (Free: 10, Standard: 100, Pro: 750 credits/month). Cost per operation, overage pricing, and credit consumption factors are undocumented. System likely tracks credit usage per generation, deployment, or API call, with overage credits available for purchase at unknown rates.","intents":["I want to understand and control my costs for using Emergent","I need predictable monthly costs based on my usage tier","I want to purchase additional credits when I exceed my monthly allocation"],"best_for":["teams with predictable usage patterns matching tier allocations","users wanting transparent, metered pricing","organizations with budget constraints requiring cost control"],"limitations":["Credit consumption factors unknown; unclear what operations consume credits (generation? deployment? API calls? storage?)","Cost per credit unknown; unclear how to estimate costs for specific usage patterns","Overage pricing unknown; no documentation of cost for additional credits beyond monthly allocation","No usage analytics or cost forecasting tools mentioned; unclear how users predict credit consumption","Free tier (10 credits/month) is extremely restrictive; likely covers only 1-2 small app generations before upgrade pressure","No documentation of credit expiration, rollover, or refund policies","Enterprise tier pricing not disclosed; contact sales required for custom pricing"],"requires":["Emergent account with tier selection","Monthly credit allocation based on tier"],"input_types":["tier selection","usage patterns"],"output_types":["Monthly credit allocation","Usage tracking and cost reporting (if available)","Overage credit purchases (if needed)"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"emergent-e2b__cap_2","uri":"capability://safety.moderation.sandboxed.code.execution.and.validation","name":"sandboxed-code-execution-and-validation","description":"Executes generated code in isolated E2B code interpreter sandboxes before deployment to validate syntax, runtime behavior, and integration between frontend and backend components. The sandbox environment prevents malicious code execution and resource exhaustion while allowing the agent to test generated applications against sample data and verify API contracts. Execution results inform the agent's refinement decisions and error recovery strategies.","intents":["I want to ensure generated code actually runs before deploying it","I need to validate that the frontend and backend integrate correctly","I want to test the generated app against sample data to catch logic errors early","I need assurance that generated code won't break production systems"],"best_for":["teams requiring code validation before deployment","organizations with security policies requiring sandboxed execution","developers building on Emergent who need confidence in generated code quality"],"limitations":["Sandbox constraints are not documented — unclear what resource limits (CPU, memory, disk, network) are enforced","No documentation of execution timeout limits; long-running operations may fail silently","Sandbox isolation prevents testing against external APIs or databases; integration testing is limited to mocked services","No visibility into sandbox execution logs or error traces — users cannot debug failed code generation directly","Sandbox environment may differ from production environment, leading to 'works in sandbox, fails in production' scenarios"],"requires":["Generated code from Emergent agent","E2B code interpreter sandbox (managed by Emergent, no user configuration)","Sufficient credits to cover sandbox execution (credit cost not documented)"],"input_types":["generated React/Node.js code","database schema definitions","API endpoint specifications"],"output_types":["execution success/failure status","runtime error messages","validation reports","test results against sample data"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"emergent-e2b__cap_3","uri":"capability://automation.workflow.instant.cloud.deployment.with.url.generation","name":"instant-cloud-deployment-with-url-generation","description":"Automatically deploys generated full-stack applications to managed cloud infrastructure and provides instant public URLs without requiring users to configure hosting, domains, or CI/CD pipelines. The deployment process is abstracted entirely — users do not interact with cloud providers, container registries, or infrastructure-as-code. Generated applications are immediately accessible via Emergent-managed URLs and can be shared with stakeholders for feedback.","intents":["I want my generated app live on the internet immediately without DevOps work","I need to share a working prototype with stakeholders via a public URL","I want to avoid managing hosting infrastructure, SSL certificates, or domain configuration","I need to deploy multiple app iterations quickly for A/B testing or feedback collection"],"best_for":["non-technical founders who want zero DevOps overhead","product teams needing rapid feedback loops with stakeholders","agencies building client prototypes that need instant deployment"],"limitations":["No control over hosting provider, region, or infrastructure — users cannot optimize for latency or compliance requirements","Deployment URLs are Emergent-managed; no custom domain support documented","No SLA or uptime guarantees documented; production-grade reliability not guaranteed","Scaling and performance tuning are opaque — users cannot configure auto-scaling, caching, or CDN","No documented data residency or compliance controls for regulated industries","Deployed applications are ephemeral; no documentation on retention policy or data persistence guarantees"],"requires":["Generated full-stack application from Emergent","Active Emergent account with available credits","Internet connectivity to access deployed application"],"input_types":["generated React frontend code","generated Node.js backend code","database schema"],"output_types":["public HTTPS URL","deployed application instance","shareable prototype link"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"emergent-e2b__cap_4","uri":"capability://tool.use.integration.one.click.llm.model.integration","name":"one-click-llm-model-integration","description":"Enables generated applications to integrate with external LLM APIs (OpenAI, Anthropic, etc.) through a simplified interface that abstracts authentication, prompt engineering, and API call orchestration. Users can request LLM features (e.g., 'add AI-powered chat', 'generate summaries using GPT-4') in natural language, and the agent generates backend endpoints and frontend components that call the specified LLM API. The integration handles credential management and rate limiting.","intents":["I want to add AI-powered features to my generated app without managing API keys","I need to integrate ChatGPT or Claude into my application through a simple interface","I want to generate content (summaries, recommendations, etc.) using LLMs without writing API integration code","I need to build a chatbot or AI assistant into my app quickly"],"best_for":["founders building AI-powered MVPs without ML expertise","product teams adding LLM features to existing applications","developers wanting rapid LLM integration without managing API complexity"],"limitations":["Supported LLM providers are not explicitly documented; unclear which APIs are available","No documentation on how API credentials are stored or managed — security model is opaque","Rate limiting and quota management are not documented; users may hit API limits without warning","Cost of LLM API calls is not transparent — users cannot estimate expenses for generated applications","No built-in prompt optimization or fine-tuning; generated prompts may be suboptimal for specific use cases","Latency of LLM calls is not documented; real-time applications may experience unacceptable delays"],"requires":["API key for target LLM provider (OpenAI, Anthropic, etc.)","Generated application with backend infrastructure","Natural language request for LLM feature"],"input_types":["natural language feature request","LLM provider specification","prompt examples or use case description"],"output_types":["backend API endpoints for LLM calls","frontend components for user input/output","credential management configuration"],"categories":["tool-use-integration","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"emergent-e2b__cap_5","uri":"capability://planning.reasoning.custom.ai.agent.creation.and.deployment","name":"custom-ai-agent-creation-and-deployment","description":"Allows Pro tier users to define and deploy custom AI agents that perform specific tasks within generated applications or standalone. Users describe agent behavior in natural language (e.g., 'create an agent that analyzes customer feedback and suggests improvements'), and Emergent generates agent code with tool definitions, planning logic, and execution handlers. Agents can be integrated into applications as backend services or deployed as standalone services accessible via API.","intents":["I want to build a custom AI agent for my application without writing agent orchestration code","I need an autonomous agent that can perform multi-step tasks like data analysis or customer support","I want to deploy an AI agent as a service that other applications can call via API","I need to create agents with custom tools and decision-making logic specific to my business"],"best_for":["Pro tier users building AI-native applications","teams automating complex business processes with AI agents","developers wanting to experiment with agent architectures without infrastructure setup"],"limitations":["Custom agent creation is Pro tier only (not available on Free or Standard tiers)","Agent architecture and planning mechanism are not documented — unclear what reasoning patterns are used","No documentation on agent tool definitions or available built-in tools","Agent failure modes and error recovery strategies are not documented","No visibility into agent decision-making process or reasoning traces","Scalability and concurrency limits for deployed agents are not documented","Cost of running agents is not transparent — credit consumption model is unclear"],"requires":["Pro tier Emergent account","Natural language description of agent behavior and capabilities","Definition of tools or external services the agent should access","Sufficient monthly credits (Pro tier: 750 credits)"],"input_types":["natural language agent specification","tool/capability descriptions","example tasks or use cases"],"output_types":["agent code (implementation details not documented)","API endpoint for agent invocation","agent configuration and tool bindings"],"categories":["planning-reasoning","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"emergent-e2b__cap_6","uri":"capability://planning.reasoning.system.prompt.customization.for.generation.control","name":"system-prompt-customization-for-generation-control","description":"Pro tier feature enabling users to customize the system prompt that guides code generation, allowing fine-grained control over generated code style, architecture patterns, and feature prioritization. Users can define custom instructions (e.g., 'always use TypeScript strict mode', 'prefer functional components over class components', 'prioritize accessibility') that the agent incorporates into all subsequent code generation. System prompt customization persists across conversation turns.","intents":["I want to enforce specific coding standards in generated code (e.g., TypeScript strict mode, ESLint rules)","I need generated code to follow my team's architectural patterns and conventions","I want to prioritize certain non-functional requirements (accessibility, performance, security) in generated applications","I need to customize the agent's behavior to match my development workflow or preferences"],"best_for":["Pro tier users with established coding standards and architectural patterns","teams wanting to enforce consistency across multiple generated applications","developers using Emergent as a code generation tool within larger development workflows"],"limitations":["System prompt customization is Pro tier only","No documentation on prompt syntax or available customization options","No validation or testing of custom prompts — invalid instructions may silently degrade code quality","No version control for system prompts — users cannot track changes or rollback to previous prompts","Unclear how custom prompts interact with agent's core reasoning — conflicting instructions may cause unpredictable behavior","No documentation on prompt length limits or complexity constraints"],"requires":["Pro tier Emergent account","Understanding of prompt engineering and code generation","Clear specification of desired code generation behavior"],"input_types":["custom system prompt text","coding standards and conventions","architectural patterns and preferences"],"output_types":["updated system prompt configuration","code generated according to custom prompt"],"categories":["planning-reasoning","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"emergent-e2b__cap_7","uri":"capability://automation.workflow.github.integration.for.code.export.and.version.control","name":"github-integration-for-code-export-and-version-control","description":"Standard and Pro tier feature enabling direct export of generated code to GitHub repositories, creating a version-controlled copy of the application that can be further developed, reviewed, and deployed through standard Git workflows. The integration handles repository creation, branch management, and commit history, allowing users to transition from Emergent's conversational interface to traditional development workflows. Generated code is exported as-is without modification.","intents":["I want to export my generated app to GitHub for version control and team collaboration","I need to hand off a generated prototype to my engineering team for further development","I want to maintain a Git history of my generated applications for audit and rollback purposes","I need to integrate generated code into my existing CI/CD pipeline"],"best_for":["teams transitioning from Emergent prototyping to traditional development","developers wanting to maintain version control of generated applications","organizations requiring Git-based audit trails and code review workflows"],"limitations":["GitHub integration is not available on Free tier","No documentation on how repository structure is organized or branch strategy","No automatic sync between Emergent and GitHub — changes in Emergent do not update GitHub and vice versa","No documentation on handling merge conflicts if code is edited both in Emergent and GitHub","Export is one-way; users cannot import GitHub code back into Emergent for further refinement","No documentation on authentication mechanism or permission requirements for GitHub integration"],"requires":["Standard or Pro tier Emergent account","GitHub account with repository creation permissions","GitHub authentication token or OAuth connection"],"input_types":["generated application code","GitHub repository configuration (name, visibility, etc.)"],"output_types":["GitHub repository with generated code","initial commit with application code","repository URL"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"emergent-e2b__cap_8","uri":"capability://automation.workflow.credit.based.consumption.model.with.tiered.access","name":"credit-based-consumption-model-with-tiered-access","description":"Implements a credit-based pricing model where users receive monthly credit allocations (Free: 10, Standard: 100, Pro: 750) that are consumed by code generation, refinement, and deployment operations. Credit consumption is not transparent — no documentation maps credits to specific operations (e.g., cost per app generation, per refinement turn, per deployment). Users can purchase additional credits beyond monthly allocations. Tier determines access to features like extended context windows (1M on Pro), custom agents, and GitHub integration.","intents":["I want to understand how much each generated app costs in terms of credits","I need to estimate monthly expenses for using Emergent at scale","I want to control spending by understanding credit consumption per operation","I need to choose a tier that provides sufficient credits for my usage pattern"],"best_for":["individual developers and small teams evaluating Emergent's cost-effectiveness","organizations budgeting for AI-powered development tools","users wanting to understand pricing transparency and cost predictability"],"limitations":["Credit-to-operation mapping is not documented — users cannot calculate per-app or per-refinement costs","No cost estimation tool or calculator provided — users must guess credit consumption","No documentation on overage pricing or cost of additional credits","No usage analytics or credit consumption dashboard documented — users cannot track spending","No rollover of unused credits; monthly allocations expire (policy not documented)","No refund policy documented for unused credits","Pricing is opaque compared to token-based models (e.g., OpenAI's per-1K-token pricing)"],"requires":["Emergent account (Free tier available)","Payment method for purchasing additional credits (Standard/Pro tiers)"],"input_types":["tier selection","credit purchase requests"],"output_types":["monthly credit allocation","credit balance","usage history (if available)"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"emergent-e2b__cap_9","uri":"capability://memory.knowledge.extended.context.window.for.complex.applications","name":"extended-context-window-for-complex-applications","description":"Pro tier feature providing a 1M token context window that enables the agent to maintain state for larger and more complex applications across multiple refinement turns. The extended context allows the agent to track dependencies between frontend, backend, and database components without losing architectural consistency. Context window size directly impacts the maximum complexity of applications that can be refined in a single conversation before context exhaustion forces a new session.","intents":["I want to refine a large, complex application without losing architectural consistency","I need to make many incremental changes to an app without starting a new conversation","I want to maintain full application state across dozens of refinement turns","I need to build applications with many interconnected features and dependencies"],"best_for":["Pro tier users building complex applications with many features","teams making numerous iterative refinements to a single application","developers needing to maintain full application context across long conversations"],"limitations":["Extended context window is Pro tier only (Free and Standard tiers have unspecified, likely smaller context windows)","1M token context window is still finite — very large applications or very long conversations may exceed it","No documentation on what happens when context window is exhausted (likely conversation reset or context truncation)","No visibility into actual token consumption per operation — users cannot predict when context will be exhausted","Larger context windows may increase latency of generation and refinement operations","No documentation on how context is managed or prioritized if multiple conversations are active"],"requires":["Pro tier Emergent account","Application complex enough to benefit from extended context (typical applications may not need 1M tokens)"],"input_types":["generated application code","refinement requests"],"output_types":["refined application code","updated application state"],"categories":["memory-knowledge","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"emergent-e2b__headline","uri":"capability://tool.use.integration.ai.powered.application.builder.for.non.technical.users","name":"ai-powered application builder for non-technical users","description":"Emergent is an AI-driven app builder that allows non-technical founders to create full-stack web applications from natural language descriptions, enabling rapid deployment and iterative refinement without writing code.","intents":["best AI app builder","no-code platform for web applications","AI tool to build apps from text","create web applications without coding","instant deployment of web apps"],"best_for":["non-technical founders","entrepreneurs","idea builders"],"limitations":["may struggle with complex applications"],"requires":["natural language input"],"input_types":["natural language descriptions"],"output_types":["full-stack web applications"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":54,"verified":false,"data_access_risk":"high","permissions":["Active Emergent account (Free tier available with 10 monthly credits)","Natural language description of desired application (minimum ~50 words recommended for clarity)","Web browser access to Emergent interface","For deployed apps: internet connectivity and ability to access generated URLs","Active conversation session with Emergent agent","Previously generated application to refine","Clear natural language description of desired changes","Sufficient remaining monthly credits (Free: 10, Standard: 100, Pro: 750)","Pro tier Emergent account","Complex application or architectural decision requiring extended reasoning"],"failure_modes":["Generated applications are basic CRUD-style apps; complex business logic, real-time features, or advanced state management require manual refinement","No control over generated code structure or architectural patterns — output follows opinionated conventions","Iterative refinement is conversational only; no direct code editing interface for precise control","Context window limitations on Free/Standard tiers (Pro tier has 1M context window) restrict complexity of applications that can be generated in single conversation","Generated applications lack production-grade error handling, logging, and monitoring","Context window constraints on Free (unspecified) and Standard (unspecified) tiers limit conversation length before context is lost; Pro tier's 1M context window still has practical limits for very large applications","Agent may lose track of earlier design decisions if conversation becomes too long, leading to inconsistent regenerations","No explicit version control or rollback mechanism — users cannot easily revert to previous iterations","Refinement requests must be phrased in natural language; no structured change specification format available","Complex architectural changes (e.g., switching from monolithic to microservices) may require starting a new conversation","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":"2026-05-24T12:16:21.548Z","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=emergent-e2b","compare_url":"https://unfragile.ai/compare?artifact=emergent-e2b"}},"signature":"SoAuyjIEqTMVj25WLaz8gLmWjxE9nx3zEIjtk7xke2+r9wlttUOCizb5kHabWjoLGbIECUvnRsJbh3gn6P/vAA==","signedAt":"2026-06-22T12:34:02.385Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/emergent-e2b","artifact":"https://unfragile.ai/emergent-e2b","verify":"https://unfragile.ai/api/v1/verify?slug=emergent-e2b","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"}}