{"uid":"cap_TYH-FStxYSVkL1bEPGNIX","slug":"2s-ai-web-page-summarizer-f5ca14d8","name":"2s AI Web Page Summarizer","description":"The (most) everything API: 575+ pay-per-call endpoints for AI agents — ground-truth data, a full AI gateway, and agent infrastructure (storage, queues, watchers). USDC via x402, no signup, no API keys, and upto billing: pay actual usage, not the quote.","url":"https://2s.io/api/ai/summarize","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"url":{"type":"string","description":"Public webpage URL to summarize."},"instruction":{"type":"string","description":"Optional steering hint (audience, focus, length)."}}},"responseSchema":null,"example":{"request":{"url":"https://www.wikipedia.org/wiki/Artificial_intelligence","instruction":"Summarize for a general audience in 2-3 sentences, focusing on key concepts and applications."},"response":{"data":{"ok":true,"items":[{"url":"https://www.wikipedia.org/wiki/Artificial_intelligence","title":"Artificial intelligence","summary":"Artificial intelligence is the capability of computational systems to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. AI has become widely deployed across applications including web search, chatbots, autonomous vehicles, and generative AI systems that create images, audio, and text from prompts. The field faces significant ethical challenges including privacy concerns, algorithmic bias, misinformation risks, and environmental impacts from massive data center power consumption.","audience":null,"finalUrl":"https://en.wikipedia.org/wiki/Artificial_intelligence","keyPoints":"\n<item>AI encompasses machine learning, neural networks, deep learning, and large language models (LLMs) that enable systems to perceive environments and take actions to achieve defined goals.</item>\n<item>Major applications include search engines, chatbots (ChatGPT, Claude, Gemini), autonomous vehicles, medical drug discovery, game-playing systems, and generative AI for creating images and videos.</item>\n<item>Deep learning's breakthrough success since 2012 resulted from increased computational power (GPUs) and availability of massive training datasets, not new theoretical discoveries.</item>\n<item>Critical ethical risks include algorithmic bias and discrimination, privacy violations from data collection, misinformation and deepfakes, lack of transparency in decision-making, and copyright concerns with training data.</item>\n<item>AI infrastructure demands massive electrical power; data centers' energy consumption is projected to double by 2026, equivalent to Japan's power usage, driving investment in nuclear power plants.</item>\n<item>The commercial AI landscape is dominated by Big Tech companies (Google, Amazon, Apple, Meta, Microsoft) that control cloud infrastructure and computing resources.</item>\n<item>AI was founded as an academic discipline in 1956 and experienced multiple cycles of optimism and \"AI winters\" before accelerating growth after 2012 with deep learning advances.</item>\n</keyPoints>\n<parameter name=\"audience\">general public","truncated":true,"estimatedReadingMinutes":8}],"total":1,"source":{"url":"https://2s.io","license":"Generated content — no upstream data license","provider":"2s.io AI (Anthropic Claude Haiku)"}},"meta":{"cost":{"usd":0.063,"tier":2},"caller":"x402","version":null,"endpoint":"ai.summarize","settlement":{"txHash":"0x797ed6bb835990f51dc71ed3f842926016ae01b42b3ee9dfcdd12cae6cfc6b79","network":"eip155:8453","success":true}}}},"exampleRequest":{"url":"https://www.wikipedia.org/wiki/Artificial_intelligence","instruction":"Summarize for a general audience in 2-3 sentences, focusing on key concepts and applications."},"tags":["x402"],"displayCostAmount":"0.063","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"settled","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.063/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.1575","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.1575","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_c5CNClY_u5SZhr9fU8PRA","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.1575","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Fetches a public webpage URL and returns an AI-generated summary with key points, audience classification, and reading time estimate","exampleAgentPrompt":"Can you summarize https://en.wikipedia.org/wiki/Artificial_intelligence for me — aimed at a general audience, focusing on real-world applications, in about 3 sentences?","exampleUseCases":null,"resultDescription":"Returns a JSON object with ok:true and an items array; each item contains the original URL, page title, a prose summary, audience classification (e.g. 'general public', 'developer'), the final redirected URL, an array of bullet-point key takeaways, a truncated flag, and estimated reading time in minutes. Also includes a source block crediting the provider and license.","failureModes":["URL is not publicly accessible or returns a non-200 status — ok:false with error message","URL points to a PDF, image, or non-HTML resource that cannot be scraped — parsing failure","Instruction field is too vague or contradictory — summary may not match desired focus","Page content is too large and gets truncated — truncated:true in response","Network timeout fetching the target URL — timeout error returned","Invalid URL format in input — validation error"],"whenToPreferThis":"Use this endpoint when an AI agent needs to quickly digest the content of a public webpage without downloading and parsing HTML manually. Ideal for research tasks, link previews, or when a user pastes a URL and wants a plain-language explanation. Prefer this over general LLM web-browsing when you want structured output (key points, audience label, reading time) and pay-per-call pricing with no subscription. Especially useful when the agent lacks native browsing capability.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T06:48:49.283Z","isFirstParty":false}