{"uid":"cap_lTFiSCb8R8wOXktPHf1xs","slug":"agentbit-page-intel-e1d44fdf","name":"AgentBit Page Intel","description":"Fetch a URL and return a structured LLM brief: summary, key points, entities, topics, sentiment, notable facts — one call instead of fetch + reason.","url":"https://agentbit.app/v1/intel/page?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"url":{"type":"string","description":"The page URL to analyze (required)."},"focus":{"type":"string","description":"Optional angle to emphasize (e.g. \"pricing\", \"security\")."}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.02","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","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":"$0.02/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.02","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.02","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_pMIIzri0IAIt4s_vZUXh7","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.02","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Fetches a URL and returns a structured LLM-generated brief including summary, key points, entities, topics, sentiment, and notable facts in a single call.","exampleAgentPrompt":"Fetch https://techcrunch.com/2025/05/15/openai-funding-round/ and give me a structured brief — summary, key entities, topics, sentiment, and any notable facts, with a focus on the financial details.","exampleUseCases":[{"title":"Due diligence on a competitor page","prompt":"Analyze https://stripe.com/pricing and give me a structured breakdown — summary, key points, entities mentioned, and sentiment — focusing on pricing and fees."},{"title":"Research briefing from a news article","prompt":"Pull a full LLM brief from https://www.reuters.com/business/tech/anthropic-raises-new-round-2025/ — I need the summary, main topics, named entities, and any notable facts mentioned."},{"title":"Content audit for a landing page","prompt":"Fetch https://linear.app and give me a structured intel report: what the page is about, key points, entities, sentiment, and notable facts — focus on the product positioning angle."}],"resultDescription":"Returns a structured object containing: a concise summary of the page, a list of key points, extracted named entities (people, organizations, products, places), identified topics, an overall sentiment rating, and a list of notable facts — all derived in a single API call without requiring separate fetch and reasoning steps.","failureModes":["URL is unreachable or returns a non-200 status — endpoint may return an error indicating the page could not be fetched","URL points to a non-HTML resource (PDF, binary) — structured analysis may fail or be incomplete","Page is JavaScript-rendered and content is not available in static HTML — summary may be shallow","Focus angle provided is too vague or unrelated to page content — output may not emphasize the requested perspective","Rate limiting or payment failure (x402) — call rejected before processing"],"whenToPreferThis":"Choose this endpoint when you need a rich, structured intelligence brief from a URL in a single call — combining fetch, summarization, entity extraction, topic classification, and sentiment — rather than chaining multiple tools. It is especially valuable when an agent needs to quickly understand and reason about external web content without managing separate scraping and LLM reasoning steps. Prefer it over generic web scrapers when structured, LLM-ready output (not raw HTML) is the goal.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:37:39.556Z","isFirstParty":false,"canonicalSlug":"agentbit-page-intel-e1d44fdf"}