{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_brevity","slug":"brevity","name":"Brevity","type":"product","url":"https://www.brevity.sh","page_url":"https://unfragile.ai/brevity","categories":["text-writing"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_brevity__cap_0","uri":"capability://data.processing.analysis.multi.format.document.ingestion.and.normalization","name":"multi-format document ingestion and normalization","description":"Accepts content through multiple input channels (direct text paste, file upload, URL fetch) and normalizes diverse formats (PDF, DOCX, plain text, web pages) into a unified internal representation for downstream processing. The system likely uses format-specific parsers and text extraction libraries to handle structural metadata while preserving semantic content, enabling a single summarization pipeline to operate uniformly across heterogeneous sources.","intents":["I want to summarize a PDF report without manually copying text","I need to quickly extract key points from a web article by pasting the URL","I'm processing multiple document formats and need consistent output"],"best_for":["researchers and analysts working with mixed document types","professionals who receive content in various formats (emails, PDFs, web links)"],"limitations":["File upload size limits likely constrain processing of very large documents (typical SaaS limit ~50MB)","URL fetching may fail on paywalled content, JavaScript-heavy sites, or pages with anti-scraping measures","OCR capability for scanned PDFs is not mentioned — likely relies on text-layer PDFs only"],"requires":["Valid file format (PDF, DOCX, TXT, or accessible URL)","Internet connection for URL-based inputs","Browser or API client with file upload support"],"input_types":["plain text (pasted)","PDF documents","DOCX/Word documents","URLs (HTTP/HTTPS)","potentially markdown and HTML"],"output_types":["plain text summary","structured summary (likely)"],"categories":["data-processing-analysis","document-processing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_brevity__cap_1","uri":"capability://text.generation.language.extractive.and.abstractive.summarization.with.llm.backbone","name":"extractive and abstractive summarization with llm backbone","description":"Processes normalized document content through a large language model (likely Claude, GPT-4, or similar) to generate summaries that distill key information while removing redundancy and fluff. The system likely implements prompt engineering strategies to balance extractive (selecting key sentences) and abstractive (rephrasing) approaches, possibly with token-aware chunking for documents exceeding model context windows. The summarization likely preserves factual accuracy through constrained decoding or post-processing validation.","intents":["I need a concise summary of a 20-page report in 2-3 minutes","I want to extract the main findings from a research paper without reading the full text","I need summaries that capture nuance, not just bullet points"],"best_for":["busy professionals with limited time for deep reading","researchers triaging large volumes of papers","teams needing quick briefings on lengthy documents"],"limitations":["No visible control over summary length, tone, or focus — users cannot specify 'executive summary vs. detailed overview'","LLM-based summarization can hallucinate or misrepresent nuanced content, especially in technical or domain-specific documents","Context window limits mean very long documents (>100k tokens) may lose information from earlier sections if not chunked intelligently","No multi-document synthesis capability — cannot compare or synthesize insights across multiple sources"],"requires":["Active API connection to LLM provider (OpenAI, Anthropic, or internal model)","Document content must be extractable as text (not image-based)"],"input_types":["plain text","structured document text (from PDF/DOCX parsing)"],"output_types":["plain text summary","potentially formatted summary (markdown or HTML)"],"categories":["text-generation-language","summarization"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_brevity__cap_2","uri":"capability://text.generation.language.fast.streaming.summary.delivery.with.progress.indication","name":"fast, streaming summary delivery with progress indication","description":"Implements server-side streaming of summary generation to provide real-time feedback to users, likely using Server-Sent Events (SSE) or WebSocket connections to stream tokens as they are generated by the LLM. This approach reduces perceived latency and provides visual confirmation that processing is underway, critical for user experience in a single-purpose tool where summarization is the core interaction.","intents":["I want to see the summary appear in real-time rather than waiting for full completion","I need feedback that the system is processing my document","I want to start reading the summary before it's fully generated"],"best_for":["users on slower connections who benefit from progressive rendering","professionals who want to start reviewing summaries immediately"],"limitations":["Streaming adds complexity to error handling — partial summaries may be displayed if generation fails mid-stream","Network interruptions during streaming can result in incomplete summaries","Streaming may not be available on all network conditions (e.g., strict corporate proxies blocking SSE)"],"requires":["Browser support for SSE or WebSocket (modern browsers)","Stable network connection to LLM provider"],"input_types":["document content (processed internally)"],"output_types":["streamed text tokens","final plain text summary"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_brevity__cap_3","uri":"capability://automation.workflow.freemium.tier.management.with.usage.quotas","name":"freemium tier management with usage quotas","description":"Implements a freemium business model with quota-based rate limiting on the free tier, likely tracking API calls or document processing volume per user (identified via session, account, or IP). The system enforces soft limits (e.g., 5 summaries/day free) and upsells premium tiers with higher quotas, using backend middleware to check user tier and enforce limits before processing requests.","intents":["I want to try the tool without paying upfront","I need to understand the cost before committing to a premium plan","I want occasional summaries without a subscription"],"best_for":["casual users and students testing the tool","professionals evaluating whether to adopt premium"],"limitations":["Free tier quotas may be artificially restrictive to drive conversion, limiting utility for casual users","No visible tier comparison or upgrade path — users may not understand what premium unlocks","Quota enforcement may be opaque (unclear when limits reset, how usage is counted)"],"requires":["User account or session tracking (cookies, authentication)","Backend quota management system"],"input_types":["user tier/subscription status"],"output_types":["quota enforcement decision (allow/deny processing)"],"categories":["automation-workflow","business-logic"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_brevity__cap_4","uri":"capability://memory.knowledge.session.based.document.history.and.re.summarization","name":"session-based document history and re-summarization","description":"Maintains a session or user account history of previously summarized documents, allowing users to revisit summaries without re-processing. The system likely stores document metadata (title, URL, upload timestamp) and cached summaries in a user-scoped database, enabling quick retrieval and optional re-summarization with different parameters if the feature exists.","intents":["I want to reference a summary I created yesterday without re-uploading the document","I need to compare summaries of the same document generated at different times","I want to export or share a summary I created earlier"],"best_for":["power users who process documents regularly","teams sharing summaries across members"],"limitations":["History is likely tied to user account, not shareable links — no public summary sharing mentioned","No visible export integrations (e.g., to Notion, Google Docs) — summaries may be locked in Brevity","Storage limits on history not mentioned — unclear if old summaries are retained indefinitely","No collaborative features — each user has isolated history"],"requires":["User account (authentication)","Backend database for history storage"],"input_types":["user ID, document metadata"],"output_types":["cached summary text","document metadata (title, date, source)"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_brevity__cap_5","uri":"capability://text.generation.language.distraction.free.summarization.ui.with.minimal.cognitive.overhead","name":"distraction-free summarization ui with minimal cognitive overhead","description":"Provides a focused, single-purpose interface optimized for summarization workflows, with minimal UI chrome, no chat sidebar, no model selection, and no extraneous options. The design likely follows progressive disclosure principles, hiding advanced settings behind toggles or modals to keep the default view clean. This contrasts sharply with ChatGPT/Claude, which present users with model selection, conversation history, and multiple interaction modes.","intents":["I want to summarize a document without navigating complex UI","I need a tool that doesn't distract me with chat features I don't need","I want a fast, focused workflow for a single task"],"best_for":["users who value simplicity and focus over feature richness","professionals with limited time who want minimal UI learning curve","teams standardizing on a single summarization tool"],"limitations":["Minimal customization options mean users cannot tailor summary style, length, or focus — one-size-fits-all approach","No advanced features (comparative summarization, multi-document synthesis) because they would complicate the UI","Single-purpose design limits extensibility — cannot easily add new capabilities without redesigning the interface"],"requires":["Modern web browser","No special software or plugins"],"input_types":["user interaction (click, paste, upload)"],"output_types":["rendered HTML UI with summary display"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_brevity__cap_6","uri":"capability://search.retrieval.web.content.extraction.and.summarization.via.url.input","name":"web content extraction and summarization via url input","description":"Accepts URLs as input and automatically fetches, parses, and summarizes web page content without requiring manual copy-paste. The system likely uses a headless browser or HTTP client to fetch pages, applies DOM parsing or readability algorithms (e.g., Mozilla Readability) to extract main content while filtering navigation, ads, and sidebars, then passes cleaned text to the summarization pipeline. This enables one-click summarization of articles, blog posts, and reports.","intents":["I want to summarize a news article by pasting the URL","I need to quickly extract key points from a blog post without reading the full text","I want to batch-summarize multiple URLs without manual copy-paste"],"best_for":["researchers and analysts who work with web-based sources","professionals who receive article links and need quick summaries","content curators triaging large volumes of web content"],"limitations":["URL fetching fails on paywalled content (e.g., Medium, Financial Times) unless credentials are provided","JavaScript-heavy sites may not render correctly with simple HTTP fetching — requires headless browser, adding latency and cost","Anti-scraping measures (robots.txt, rate limiting) may block Brevity's fetcher","Content extraction heuristics may fail on unusual page layouts, resulting in incomplete or noisy summaries","No batch URL processing mentioned — likely one URL at a time"],"requires":["Valid, publicly accessible URL (HTTP/HTTPS)","Page must be text-extractable (not image-based or heavily JavaScript-dependent)"],"input_types":["URL string"],"output_types":["extracted page text","summary of extracted content"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":37,"verified":false,"data_access_risk":"high","permissions":["Valid file format (PDF, DOCX, TXT, or accessible URL)","Internet connection for URL-based inputs","Browser or API client with file upload support","Active API connection to LLM provider (OpenAI, Anthropic, or internal model)","Document content must be extractable as text (not image-based)","Browser support for SSE or WebSocket (modern browsers)","Stable network connection to LLM provider","User account or session tracking (cookies, authentication)","Backend quota management system","User account (authentication)"],"failure_modes":["File upload size limits likely constrain processing of very large documents (typical SaaS limit ~50MB)","URL fetching may fail on paywalled content, JavaScript-heavy sites, or pages with anti-scraping measures","OCR capability for scanned PDFs is not mentioned — likely relies on text-layer PDFs only","No visible control over summary length, tone, or focus — users cannot specify 'executive summary vs. detailed overview'","LLM-based summarization can hallucinate or misrepresent nuanced content, especially in technical or domain-specific documents","Context window limits mean very long documents (>100k tokens) may lose information from earlier sections if not chunked intelligently","No multi-document synthesis capability — cannot compare or synthesize insights across multiple sources","Streaming adds complexity to error handling — partial summaries may be displayed if generation fails mid-stream","Network interruptions during streaming can result in incomplete summaries","Streaming may not be available on all network conditions (e.g., strict corporate proxies blocking SSE)","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":"2026-05-24T12:16:29.715Z","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=brevity","compare_url":"https://unfragile.ai/compare?artifact=brevity"}},"signature":"adekPjJ/wiGtkurisqyIav+B2rsW/8ZfhDPacPr4tgJMEjoNHyygcPM47Q1UrNoIZhjSQC8+Fd2Ss0Skf6u5Dg==","signedAt":"2026-06-21T01:22:56.071Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/brevity","artifact":"https://unfragile.ai/brevity","verify":"https://unfragile.ai/api/v1/verify?slug=brevity","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"}}