{"uid":"cap_J-sj68FtpNVKSfXNF3mOS","slug":"aegisaudit-multi-oracle-token-security-engine-4b8197ad","name":"AegisAudit Multi-Oracle Token Security Engine","description":"Real-time smart contract honeypot swap simulation (Honeypot.is V2), GoPlus bytecode inspection, on-chain owner() verification, and DEX liquidity risk scoring for AI agents via x402.","url":"https://aegis-audit-x402.project-easy-x.workers.dev/api/v1/scrape?utm_source=zero.xyz","method":"GET","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input"],"properties":{"input":{"type":"object","required":["type","method"],"properties":{"type":{"type":"string","const":"http"},"method":{"enum":["GET"],"type":"string"},"queryParams":{"type":"object","required":["url"],"properties":{"url":{"type":"string","description":"Public HTTP/HTTPS webpage URL to scrape and convert into clean LLM-ready Markdown"}}}},"additionalProperties":false},"output":{"type":"object","required":["type"],"properties":{"type":{"type":"string"},"example":{"type":"object"}}}}},"responseSchema":{"type":"json","example":{"url":"https://example.com","title":"Example Domain","finalUrl":"https://example.com/","markdown":"# Example Domain\n\nThis domain is for use in illustrative examples in documents.","wordCount":28,"statusCode":200,"estimatedTokens":42}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.005","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":"$0.005/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.005","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.005","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_nLNUrMpjLO5Ammd8nIAjG","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.005","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Scrapes a public webpage and converts it to clean Markdown for LLM consumption, despite the name suggesting token security auditing","exampleAgentPrompt":"Scrape the webpage at https://example.com/article and convert it into clean markdown so I can read and summarize the content.","exampleUseCases":[{"title":"Research article extraction for summarization","prompt":"Fetch the content of this news article at https://techcrunch.com/2024/05/01/some-article and convert it to markdown so I can summarize the key points."},{"title":"Documentation page to LLM context","prompt":"Grab the full text from https://docs.uniswap.org/concepts/overview and turn it into clean markdown — I need to feed it into my model as context."},{"title":"Competitor landing page analysis","prompt":"Scrape https://competitor.com/pricing and give me the page content in markdown so I can analyze what they're offering."}],"resultDescription":"Returns a JSON object containing the scraped page's URL, final redirected URL, page title, full page content as clean Markdown, word count, HTTP status code, and estimated LLM token count.","failureModes":["URL is not publicly accessible or returns 4xx/5xx — status code reflected in response","JavaScript-heavy single-page apps may return incomplete content","Very large pages may be truncated or exceed processing limits","Paywalled or login-required pages will return minimal content","Invalid or malformed URL input returns an error"],"whenToPreferThis":"Use this endpoint when you need to fetch and read the content of a public webpage as clean, LLM-ready Markdown. It is well-suited for agents that need to ingest web content without running a full browser. Prefer this over raw HTTP fetch when you want pre-processed Markdown with metadata like word count and token estimates.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T07:20:53.030Z","isFirstParty":false,"canonicalSlug":"aegisaudit-multi-oracle-token-security-engine-c3ee5f0b"}