{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_beamcast","slug":"beamcast","name":"Beamcast","type":"product","url":"https://beamcast.app","page_url":"https://unfragile.ai/beamcast","categories":["browser-extensions"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_beamcast__cap_0","uri":"capability://text.generation.language.browser.sidebar.ai.chat.with.page.context.injection","name":"browser-sidebar ai chat with page context injection","description":"Embeds a persistent AI chat sidebar within the browser that automatically captures and injects the current webpage's DOM content, text, and metadata into the LLM context window without requiring manual copy-paste. Uses a content script to extract page state and pass it to a sidebar iframe that maintains conversation history across navigation, enabling the assistant to reference page content in real-time without losing context.","intents":["I want to ask the AI about content on this webpage without copying text manually","I need the AI to understand what's currently on my screen and help me work with it","I want to maintain a persistent chat session while browsing multiple pages"],"best_for":["Knowledge workers who spend 6+ hours daily in the browser","Researchers and analysts who need to cross-reference web content with AI analysis","Professionals resistant to context-switching between tabs"],"limitations":["Page context injection limited by LLM token window — large pages may be truncated or summarized","DOM extraction may fail on JavaScript-heavy SPAs or pages with strict CSP policies","No persistent storage of chat history across browser sessions without backend sync","Cannot access content behind authentication walls or paywalls the user hasn't already loaded"],"requires":["Chrome, Edge, or Chromium-based browser with extension support","Active internet connection for API calls to LLM provider","Valid API key or account credentials for underlying LLM service"],"input_types":["webpage DOM and text content","user natural language queries","page metadata (title, URL, structured data)"],"output_types":["natural language responses","formatted markdown text","code snippets extracted from pages"],"categories":["text-generation-language","browser-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_beamcast__cap_1","uri":"capability://text.generation.language.cross.website.contextual.assistance.with.dom.aware.responses","name":"cross-website contextual assistance with dom-aware responses","description":"Analyzes the current webpage's structure and content to provide context-aware suggestions, explanations, or edits that reference specific page elements. The assistant understands the semantic meaning of the page (forms, tables, navigation, content blocks) and can generate responses that directly relate to what the user is viewing, such as form-filling suggestions, table analysis, or content editing recommendations.","intents":["I want the AI to help me fill out this form with smart suggestions based on the fields","I need the AI to analyze this table and explain what the data means","I want the AI to suggest edits or improvements to content I'm viewing"],"best_for":["Data entry professionals working with web forms and spreadsheets","Content creators and editors who need real-time writing assistance","Business analysts reviewing web-based dashboards and reports"],"limitations":["DOM parsing fails on obfuscated or dynamically-rendered content (e.g., canvas-based UIs)","Cannot interact with or modify page elements directly — responses are advisory only","No semantic understanding of custom or proprietary web applications without training","Cross-origin restrictions prevent sidebar from accessing iframes or embedded content from different domains"],"requires":["Browser extension with content script permissions","JavaScript enabled on target websites","LLM with sufficient context window to process full page DOM (8K+ tokens recommended)"],"input_types":["webpage DOM tree","page text content","form field metadata","table structure and data"],"output_types":["natural language suggestions","formatted recommendations","code or markup examples"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_beamcast__cap_2","uri":"capability://tool.use.integration.freemium.api.cost.abstraction.with.usage.based.tier.gating","name":"freemium api cost abstraction with usage-based tier gating","description":"Implements a freemium model that abstracts underlying LLM API costs by routing free-tier users through a shared or rate-limited API gateway, while premium users either get higher rate limits, faster response times, or access to more capable models. The backend likely uses token counting and request throttling to manage costs, with a paywall that gates access to premium model variants or removes rate limits for paid subscribers.","intents":["I want to try this AI assistant without paying upfront","I need unlimited or higher-speed AI assistance and am willing to pay for it","I want to understand what features justify the premium tier"],"best_for":["Individual users and small teams evaluating AI productivity tools","Freemium SaaS companies seeking low-friction user acquisition","Builders prototyping AI-integrated products without committing to high API costs"],"limitations":["Free tier likely has aggressive rate limiting (e.g., 5-10 requests/hour) that frustrates power users","Unclear pricing transparency — no public documentation on what premium features cost or what API costs are passed to free users","Potential for unsustainable unit economics if free users consume significant API tokens without conversion","No clear SLA or uptime guarantee for free tier, making it unreliable for production workflows"],"requires":["User account creation and email verification","Browser extension installation","Optional: payment method for premium tier upgrade"],"input_types":["user requests and queries","usage metrics and token counts"],"output_types":["access grants or denials","rate limit headers","tier-specific feature flags"],"categories":["tool-use-integration","business-model"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_beamcast__cap_3","uri":"capability://memory.knowledge.conversation.history.persistence.across.browser.sessions","name":"conversation history persistence across browser sessions","description":"Maintains chat conversation history and context across browser restarts, tab closures, and navigation events by storing messages in browser local storage or IndexedDB, with optional cloud sync to a backend database. Allows users to resume previous conversations and reference earlier messages without losing context, though storage is typically limited by browser quota (50MB-1GB depending on browser).","intents":["I want to continue a conversation with the AI after closing my browser","I need to reference something I asked the AI about yesterday","I want my chat history synced across multiple devices"],"best_for":["Users with long-running research or writing projects spanning multiple sessions","Teams needing shared conversation history for knowledge transfer","Professionals who need audit trails of AI-assisted decisions"],"limitations":["Local storage limited to ~5-10MB per domain in most browsers; large conversation histories will be truncated or archived","No built-in encryption for stored conversations — sensitive data is stored in plaintext in browser storage","Cross-device sync requires backend infrastructure and user authentication; unclear if Beamcast implements this","Clearing browser cache or using private/incognito mode will delete all local conversation history","No versioning or branching of conversations — only linear history is maintained"],"requires":["Browser with local storage or IndexedDB support (all modern browsers)","Optional: user account and backend sync service for cross-device persistence"],"input_types":["chat messages and metadata","timestamps and user identifiers"],"output_types":["conversation history (JSON or serialized format)","indexed message retrieval"],"categories":["memory-knowledge","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_beamcast__cap_4","uri":"capability://tool.use.integration.multi.website.compatibility.with.dynamic.content.script.injection","name":"multi-website compatibility with dynamic content script injection","description":"Uses a content script manifest to inject the sidebar and page-context extraction logic into any website the user visits, with a dynamic allowlist/blocklist to prevent injection on sensitive sites (banking, password managers, etc.). The extension detects page load events and injects the necessary JavaScript to enable sidebar functionality, handling both static and dynamically-loaded content through MutationObserver or similar DOM monitoring.","intents":["I want AI assistance on any website I visit, not just specific platforms","I need the AI to work on web apps I use for work (Gmail, Slack, Jira, etc.)","I want to exclude certain sensitive websites from AI integration"],"best_for":["Power users who work across many different web applications","Professionals using SaaS tools that don't have native AI integrations","Teams with custom internal web applications that need AI assistance"],"limitations":["Content script injection blocked by strict Content Security Policy (CSP) headers on some sites","Cannot inject into pages loaded via file:// protocol or browser-restricted pages (chrome://, about://, etc.)","Dynamic content detection via MutationObserver adds ~50-100ms latency per page load","No support for cross-origin iframes or shadow DOM content without additional permissions","Allowlist/blocklist management requires manual configuration; no automatic detection of sensitive sites"],"requires":["Browser extension with content script permissions","Manifest v3 (Chrome/Edge) or Manifest v2 (Firefox) compatibility","Target website must allow JavaScript execution (not disabled by user)"],"input_types":["page load events","DOM mutations","user navigation"],"output_types":["sidebar injection","page context extraction","feature availability flags"],"categories":["tool-use-integration","browser-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_beamcast__cap_5","uri":"capability://tool.use.integration.llm.provider.abstraction.with.multi.model.support","name":"llm provider abstraction with multi-model support","description":"Abstracts the underlying LLM provider (OpenAI, Anthropic, or other APIs) behind a unified interface, allowing users to select which model to use (e.g., GPT-4, Claude 3, etc.) without changing the UI or workflow. The backend likely implements a provider adapter pattern that translates requests to the appropriate API format, handles authentication, and manages rate limits per provider.","intents":["I want to use Claude instead of ChatGPT for better reasoning on complex tasks","I want to switch between models depending on the task (fast model for quick answers, powerful model for analysis)","I want to use a local or self-hosted LLM instead of cloud APIs"],"best_for":["Users with API keys for multiple LLM providers","Teams evaluating different models for cost vs. quality tradeoffs","Builders prototyping with multiple LLM backends"],"limitations":["Model selection UI unclear from product description — may require backend configuration rather than user-facing toggle","No evidence of support for local/self-hosted models (Ollama, LLaMA, etc.); likely cloud-only","API key management unclear — users may need to provide their own keys or trust Beamcast with credentials","No cost comparison or usage tracking per model to help users optimize spending","Switching models mid-conversation may lose context if token limits differ significantly"],"requires":["API keys for selected LLM providers (OpenAI, Anthropic, etc.)","Backend support for each provider's API format and authentication"],"input_types":["user queries","model selection preference","API credentials"],"output_types":["LLM responses","model metadata (name, capabilities, cost)"],"categories":["tool-use-integration","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_beamcast__cap_6","uri":"capability://tool.use.integration.lightweight.sidebar.ui.with.minimal.performance.overhead","name":"lightweight sidebar ui with minimal performance overhead","description":"Implements a sidebar UI as an iframe or shadow DOM component that loads asynchronously and does not block page rendering or interaction. Uses lazy loading and code splitting to minimize initial extension size and startup time, with the sidebar only initializing when explicitly opened by the user. The sidebar communicates with the background service worker via message passing to avoid blocking the main thread.","intents":["I want the AI assistant available without slowing down my browser or websites","I want to open the sidebar only when I need it, not have it always visible","I want the extension to use minimal memory and CPU"],"best_for":["Users on older hardware or with limited RAM","Professionals who need responsive browsing without extension overhead","Teams deploying extensions across large organizations with performance constraints"],"limitations":["Iframe-based sidebar may have layout issues on some websites with strict CSS or z-index management","Asynchronous initialization adds 200-500ms delay before sidebar is interactive on first open","Shadow DOM isolation may prevent sidebar from accessing page styles, requiring custom theming","Message passing between content script and background worker adds ~50ms latency per request","No pre-warming or background loading of LLM context — first request will be slower than subsequent ones"],"requires":["Browser with iframe and shadow DOM support (all modern browsers)","Service Worker API support for background message passing"],"input_types":["user UI interactions","page context data"],"output_types":["rendered sidebar UI","chat messages"],"categories":["tool-use-integration","browser-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_beamcast__cap_7","uri":"capability://tool.use.integration.user.authentication.and.account.management.with.freemium.tier.tracking","name":"user authentication and account management with freemium tier tracking","description":"Manages user accounts, authentication (likely OAuth or email/password), and tier tracking (free vs. premium) to enforce rate limits and feature gates. Stores user preferences, API key associations (if applicable), and usage metrics in a backend database, with session management via browser cookies or local tokens. Syncs tier status and rate limit quotas to the browser extension for client-side enforcement.","intents":["I want to create an account and track my usage across devices","I want to upgrade to premium and remove rate limits","I want to manage my API keys or billing information"],"best_for":["Individual users who want persistent accounts across devices","Teams managing multiple users and billing","Builders integrating Beamcast into larger workflows"],"limitations":["No clear documentation on authentication method (OAuth, email/password, SSO) or security practices","User data and API keys stored on Beamcast servers — requires trust in their security practices","No evidence of two-factor authentication or advanced security features","Tier status sync between backend and extension may be delayed, causing rate limit inconsistencies","No API for programmatic account management or team provisioning"],"requires":["Valid email address or OAuth provider account","Backend authentication service with database","Browser cookies or local storage for session management"],"input_types":["email and password (or OAuth token)","tier selection","API key credentials"],"output_types":["authentication token","user profile data","tier and quota information"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":37,"verified":false,"data_access_risk":"high","permissions":["Chrome, Edge, or Chromium-based browser with extension support","Active internet connection for API calls to LLM provider","Valid API key or account credentials for underlying LLM service","Browser extension with content script permissions","JavaScript enabled on target websites","LLM with sufficient context window to process full page DOM (8K+ tokens recommended)","User account creation and email verification","Browser extension installation","Optional: payment method for premium tier upgrade","Browser with local storage or IndexedDB support (all modern browsers)"],"failure_modes":["Page context injection limited by LLM token window — large pages may be truncated or summarized","DOM extraction may fail on JavaScript-heavy SPAs or pages with strict CSP policies","No persistent storage of chat history across browser sessions without backend sync","Cannot access content behind authentication walls or paywalls the user hasn't already loaded","DOM parsing fails on obfuscated or dynamically-rendered content (e.g., canvas-based UIs)","Cannot interact with or modify page elements directly — responses are advisory only","No semantic understanding of custom or proprietary web applications without training","Cross-origin restrictions prevent sidebar from accessing iframes or embedded content from different domains","Free tier likely has aggressive rate limiting (e.g., 5-10 requests/hour) that frustrates power users","Unclear pricing transparency — no public documentation on what premium features cost or what API costs are passed to free users","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.2833333333333333,"quality":0.63,"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":"2026-05-24T12:16:29.134Z","last_scraped_at":"2026-04-05T13:23:42.562Z","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=beamcast","compare_url":"https://unfragile.ai/compare?artifact=beamcast"}},"signature":"3jRdLKZawiVMOionKOMcnuQ+wg6vj370tdiNrQ5JufCphaMrh/Pn5raHjw0mnovF9l3/97SD7OcZbFxiwVrfCQ==","signedAt":"2026-06-20T00:11:28.435Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/beamcast","artifact":"https://unfragile.ai/beamcast","verify":"https://unfragile.ai/api/v1/verify?slug=beamcast","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"}}