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The Vercel edge deployment enables sub-second latency by executing extraction and API calls close to the user's geographic region.","intents":["I want to paste a news article link and get a 2-3 sentence summary without visiting the site","I need to quickly understand the key points of a long-form blog post without reading the full text","I'm building a content curation workflow and need to batch-summarize URLs programmatically"],"best_for":["Busy professionals consuming 10+ articles daily","Students researching topics and needing rapid content triage","Content curators filtering signal from noise in news feeds"],"limitations":["No support for paywalled or authentication-gated articles—extraction fails silently if content requires login","Extraction quality degrades on non-standard HTML structures (e.g., single-page apps, JavaScript-rendered content)","No caching of summaries—identical URLs are re-processed on each request, wasting API quota","Timeout risk on very large articles (>50KB) due to Vercel's serverless function limits (~10-30 seconds)"],"requires":["Valid HTTP/HTTPS URL pointing to publicly accessible article","Active internet connection on client side","LLM API key (OpenAI/Anthropic) provisioned server-side by the app operator"],"input_types":["URL (HTTP/HTTPS)","Plain text article body (if pasted directly)"],"output_types":["Plain text summary","Structured summary (if API returns JSON)"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_article-summary__cap_1","uri":"capability://text.generation.language.fixed.length.abstractive.summarization","name":"fixed-length abstractive summarization","description":"Generates summaries using a fixed, non-configurable compression ratio (likely 30-50% of original text length) via prompt engineering or model-specific parameters sent to the LLM. The approach prioritizes consistency and predictability over user control—all summaries follow the same brevity standard regardless of source article length or user preference.","intents":["I want a quick 2-3 sentence overview of any article without having to specify length preferences","I need consistent summary lengths across a batch of articles for comparison or archival","I'm building a feed reader and need uniform summary sizes for UI layout"],"best_for":["Users who value simplicity and consistency over customization","Scenarios where summary length must be predictable for UI/UX design","Rapid-fire content consumption where decision fatigue is a concern"],"limitations":["No ability to request longer summaries for complex topics or shorter summaries for quick skimming","Fixed compression may lose critical nuance in highly technical or dense articles","No option to adjust tone (e.g., formal vs. casual) or focus (e.g., key quotes vs. narrative flow)","Abstractive summarization can hallucinate or misrepresent facts if the LLM misunderstands context"],"requires":["Article text (extracted from URL or pasted)","LLM API with support for prompt-based length control (OpenAI GPT-3.5+ or Anthropic Claude)"],"input_types":["Plain text article body (500-10,000 words typical)"],"output_types":["Plain text summary (typically 100-300 words)"],"categories":["text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_article-summary__cap_2","uri":"capability://automation.workflow.stateless.single.request.summarization.pipeline","name":"stateless, single-request summarization pipeline","description":"Implements a synchronous, request-response architecture where each summarization request is independent—no session state, no request queuing, no result caching. The Vercel serverless function receives a URL or text, executes extraction and LLM inference in a single HTTP call, and returns the summary immediately. No database or persistent storage is involved, keeping infrastructure minimal and costs proportional to usage.","intents":["I want to summarize an article right now without signing up or creating an account","I'm testing a summarization API and need a zero-friction endpoint to validate quality","I need to embed summarization into a workflow without managing authentication or session tokens"],"best_for":["One-off users who visit the app sporadically and don't need history","Developers prototyping LLM-powered features without backend infrastructure","Teams evaluating summarization quality before committing to a paid service"],"limitations":["No summary history or bookmarking—users cannot retrieve past summaries after leaving the page","No user accounts or preferences—each session starts from scratch","No request deduplication—identical URLs summarized twice incur double API costs","No rate limiting per user—vulnerable to abuse if exposed as a public API","Vercel function timeout (~30 seconds) limits processing of very large articles or slow LLM responses"],"requires":["HTTP client (browser, curl, or SDK)","Vercel deployment with LLM API credentials configured as environment variables"],"input_types":["URL (via query parameter or POST body)","Plain text (via POST body)"],"output_types":["JSON response with summary field","Plain text response"],"categories":["automation-workflow","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_article-summary__cap_3","uri":"capability://automation.workflow.zero.friction.web.ui.with.direct.url.input","name":"zero-friction web ui with direct url input","description":"Provides a minimal, single-page web interface (likely React or vanilla JS on Vercel) with a text input field for URLs and a submit button. The UI handles client-side form validation (checking for valid HTTP/HTTPS URLs), sends the URL to the backend via fetch/axios, and displays the summary in a read-only text area. No authentication, no navigation menus, no distracting sidebars—the entire app is one focused interaction.","intents":["I want to paste a URL and see a summary in under 5 seconds without any setup","I need a distraction-free interface that doesn't require learning a new tool","I'm sharing this tool with non-technical users who shouldn't encounter friction"],"best_for":["Casual users and students who value simplicity over features","Scenarios where the app is shared via link (no onboarding needed)","Teams evaluating summarization quality without committing to a platform"],"limitations":["No mobile optimization—UI may be cramped on phones or tablets","No keyboard shortcuts or advanced interactions (e.g., copy-to-clipboard, export)","No error messaging beyond generic 'summarization failed' alerts","No accessibility features (ARIA labels, keyboard navigation) documented","No dark mode or theme customization"],"requires":["Modern web browser (Chrome, Firefox, Safari, Edge)","JavaScript enabled","No browser extensions or ad blockers that might interfere with fetch requests"],"input_types":["URL (text input)","Plain text (copy-paste into input field)"],"output_types":["Plain text summary (displayed in UI)"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_article-summary__cap_4","uri":"capability://tool.use.integration.llm.agnostic.summarization.backend.with.configurable.model.selection","name":"llm-agnostic summarization backend with configurable model selection","description":"The backend abstracts the LLM provider behind a configuration layer, allowing the operator to swap between OpenAI, Anthropic, or other API providers by changing environment variables. The summarization logic sends a standardized prompt template to the selected LLM, handling provider-specific differences in API format, authentication, and response parsing. This architecture enables cost optimization (e.g., switching to cheaper models) and model upgrades without code changes.","intents":["I want to deploy this tool but use my own LLM provider (OpenAI, Anthropic, or local Ollama) based on cost/performance tradeoffs","I need to switch LLM providers without redeploying the entire application","I'm building a multi-tenant summarization service and need to route requests to different models based on user tier"],"best_for":["Developers deploying Article Summary on their own infrastructure","Teams optimizing LLM costs by comparing providers or model sizes","Organizations with strict data residency requirements (e.g., using local Ollama instead of cloud APIs)"],"limitations":["Prompt engineering must account for model-specific quirks (e.g., Claude's preferred formatting vs. GPT's)","Response parsing logic may break if switching between providers with different output formats","No automatic fallback if the primary LLM provider is unavailable—requires manual intervention","Cost and latency vary significantly between providers—no built-in cost tracking or optimization","Model-specific features (e.g., vision capabilities, function calling) are not abstracted"],"requires":["API key for at least one LLM provider (OpenAI, Anthropic, etc.)","Environment variables configured on Vercel (OPENAI_API_KEY, ANTHROPIC_API_KEY, etc.)","Knowledge of provider-specific API formats and authentication"],"input_types":["Article text (provider-agnostic)"],"output_types":["Plain text summary (provider-agnostic)"],"categories":["tool-use-integration","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":42,"verified":false,"data_access_risk":"high","permissions":["Valid HTTP/HTTPS URL pointing to publicly accessible article","Active internet connection on client side","LLM API key (OpenAI/Anthropic) provisioned server-side by the app operator","Article text (extracted from URL or pasted)","LLM API with support for prompt-based length control (OpenAI GPT-3.5+ or Anthropic Claude)","HTTP client (browser, curl, or SDK)","Vercel deployment with LLM API credentials configured as environment variables","Modern web browser (Chrome, Firefox, Safari, Edge)","JavaScript enabled","No browser extensions or ad blockers that might interfere with fetch requests"],"failure_modes":["No support for paywalled or authentication-gated articles—extraction fails silently if content requires login","Extraction quality degrades on non-standard HTML structures (e.g., single-page apps, JavaScript-rendered content)","No caching of summaries—identical URLs are re-processed on each request, wasting API quota","Timeout risk on very large articles (>50KB) due to Vercel's serverless function limits (~10-30 seconds)","No ability to request longer summaries for complex topics or shorter summaries for quick skimming","Fixed compression may lose critical nuance in highly technical or dense articles","No option to adjust tone (e.g., formal vs. casual) or focus (e.g., key quotes vs. narrative flow)","Abstractive summarization can hallucinate or misrepresent facts if the LLM misunderstands context","No summary history or bookmarking—users cannot retrieve past summaries after leaving the page","No user accounts or preferences—each session starts from scratch","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.36666666666666664,"quality":0.7300000000000001,"ecosystem":0.15000000000000002,"match_graph":0.25,"freshness":0.9,"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":"2026-05-24T12:16:29.133Z","last_scraped_at":"2026-04-05T13:23:42.552Z","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=article-summary","compare_url":"https://unfragile.ai/compare?artifact=article-summary"}},"signature":"23rH8q/kdIjbgKOIaBk1Pz+3ADvB8R6ZVVp15AUFvNG9AK8WaYRaEVTNMGf/vLzMvs43Au1tevHF0w5ipWj2DA==","signedAt":"2026-06-16T03:08:43.157Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/article-summary","artifact":"https://unfragile.ai/article-summary","verify":"https://unfragile.ai/api/v1/verify?slug=article-summary","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"}}