Web Intel

8 pay-per-call web intel tools over MCP. Free discovery, calls settle in USDC on Base (x402).

사용해야 할까요

품질 및 안전성

A
설명 품질
98%
스키마 완전성
93%
이름 품질
53%
오염 위험
100%
권한 일치
100%
프로토콜 준수
100%

발견 사항 (9)

  • LOWTool 'domain-health-checker' doesn't follow camelCase/snake_casedomain-health-checker에서
  • LOWTool 'shopify-price-change-monitor' doesn't follow camelCase/snake_caseshopify-price-change-monitor에서
  • LOWTool 'shopify-store-intelligence' doesn't follow camelCase/snake_caseshopify-store-intelligence에서
  • LOWTool 'sitemap-to-knowledge' doesn't follow camelCase/snake_casesitemap-to-knowledge에서
  • LOWTool 'structured-extract' doesn't follow camelCase/snake_casestructured-extract에서
  • LOWTool 'tech-stack-change-detector' doesn't follow camelCase/snake_casetech-stack-change-detector에서
  • LOWTool 'tech-stack-detector' doesn't follow camelCase/snake_casetech-stack-detector에서
  • LOWTool 'url-to-markdown' doesn't follow camelCase/snake_caseurl-to-markdown에서
  • LOWTool 'zid-store-products' doesn't follow camelCase/snake_casezid-store-products에서

도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.

컨텍스트 비용

~2,565토큰 (도구 정의)
~1.8 KB일반적인 응답 크기
상당한 주의 영향 (128k 컨텍스트의 2.00%)

이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.

설치

원클릭 설치

`claude_desktop_config.json` 파일에 다음을 추가하세요:

{
  "mcpServers": {
    "web-intel": {
      "url": "https://api.timzinin.com/mcp/web-intel"
    }
  }
}

원격 엔드포인트

https://api.timzinin.com/mcp/web-intelstreamable-http

할 수 있는 일

도구 목록

도구 (10)

🟢 읽기 전용🟡 쓰기🔴 삭제⚪ 알 수 없음
🟢pricing_info

Free — list every paid tool in the 'web-intel' bundle with its price, payTo address and network. Call this first if you don't have a wallet ready yet.

입력 스키마

{
  "type": "object",
  "properties": {}
}
🟢domain-health-checker(domains, maxConcurrency)

Bulk-audit domains: DNS records, SSL certificate expiry, SPF & DMARC email authentication. Find domains that cannot receive email, are easy to spoof, or have expiring certificates — before your clients do. — $0.01/call, x402 (USDC on base).

입력 스키마

{
  "type": "object",
  "properties": {
    "domains": {
      "title": "Domains",
      "type": "array",
      "description": "List of domains to audit (e.g. `example.com`).",
      "maxItems": 100,
      "editor": "stringList",
      "prefill": [
        "example.com",
        "example.com",
        "github.com"
      ]
    },
    "maxConcurrency": {
      "title": "Max concurrency",
      "type": "integer",
      "description": "How many domains to check in parallel.",
      "default": 10,
      "minimum": 1,
      "maximum": 50
    }
  },
  "required": [
    "domains"
  ],
  "title": "Domain Health Checker input",
  "schemaVersion": 1
}
🟡shopify-price-change-monitor(websites, baseline_key, max_items)

Watches a Shopify store's catalogue and returns only the products whose price or availability changed since the previous check. The first run creates the baseline and says so. — $0.05/call, x402 (USDC on base).

입력 스키마

{
  "type": "object",
  "properties": {
    "websites": {
      "title": "Websites",
      "type": "array",
      "description": "Shopify (or possibly-Shopify) store URLs to watch, e.g. \"allbirds.com\". Every scheduled run re-checks these same sites and reports ONLY what changed since a previous run of this watch: a store newly added to the watch, or an already-tracked store's price range / catalog size / estimated revenue band shifting.",
      "editor": "stringList",
      "prefill": [
        "allbirds.com"
      ],
      "maxItems": 10
    },
    "baseline_key": {
      "title": "Watch name",
      "type": "string",
      "description": "A name for THIS watch, so you can run several independent store watches from one Actor (e.g. \"dtc-competitors\", \"my-portfolio\") without one overwriting another's memory of what's already been seen. Each name is scoped to YOUR OWN Apify account. The prefilled value is only there so this Actor's own daily test run has a stable, obviously-a-test name; replace it with your own watch name.",
      "editor": "textfield",
      "prefill": "apify-daily-test"
    },
    "max_items": {
      "title": "Max change rows per run",
      "type": "integer",
      "description": "Caps how many new-store / changed-store rows a single run will deliver and charge for, even if more were found.",
      "default": 20,
      "minimum": 1,
      "maximum": 200
    }
  },
  "required": [
    "websites"
  ],
  "title": "Shopify Price Change Monitor input",
  "schemaVersion": 1
}
🟢shopify-store-intelligence(websites, maxConcurrency)

Confirm a site runs on Shopify and pull store intelligence from its public feeds — product count, price range, top vendors/categories, newest listing and a rough revenue-band heuristic. No login, no Shopify API key. — $0.01/call, x402 (USDC on base).

입력 스키마

{
  "type": "object",
  "properties": {
    "websites": {
      "title": "Websites",
      "type": "array",
      "description": "List of websites to check (e.g. `allbirds.com` or `https://example.com`). One row per site.",
      "maxItems": 100,
      "editor": "stringList",
      "prefill": [
        "https://allbirds.com",
        "https://gymshark.com",
        "https://stripe.com"
      ]
    },
    "maxConcurrency": {
      "title": "Max concurrency",
      "type": "integer",
      "description": "How many websites to check in parallel.",
      "default": 5,
      "minimum": 1,
      "maximum": 20
    }
  },
  "required": [
    "websites"
  ],
  "title": "Shopify Store Intelligence input",
  "schemaVersion": 1
}
🟢sitemap-to-knowledge(items, maxConcurrency)

Give it a domain. It reads the sitemap, fetches the pages, strips them to clean text and splits everything into ~1000-char chunks — one dataset row per chunk, ready to embed into a vector store. No browser, no LLM, no API key. — $0.02/call, x402 (USDC on base).

입력 스키마

{
  "type": "object",
  "properties": {
    "items": {
      "title": "Domains / websites",
      "type": "array",
      "description": "List of domains or website URLs to crawl via their sitemap. One entry per site.",
      "maxItems": 10,
      "editor": "stringList",
      "prefill": [
        "docs.example.com",
        "example.com"
      ]
    },
    "maxConcurrency": {
      "title": "Max concurrency",
      "type": "integer",
      "description": "How many SITES to process in parallel (each site already fetches up to 25 pages internally).",
      "default": 5,
      "minimum": 1,
      "maximum": 20
    }
  },
  "required": [
    "items"
  ],
  "title": "Sitemap to Knowledge input",
  "schemaVersion": 1
}
🟢structured-extract(urls, fields, maxConcurrency)

Turn any URL into clean structured JSON — title, description, image, JSON-LD, headings, links, emails and prices — extracted deterministically via regex. Zero LLM calls, zero API keys. Built for AI agents that need one page turned into typed data, cheaply. — $0.01/call, x402 (USDC on base).

입력 스키마

{
  "type": "object",
  "properties": {
    "urls": {
      "title": "URLs",
      "type": "array",
      "description": "List of URLs to extract structured data from. One row per URL.",
      "maxItems": 100,
      "editor": "stringList",
      "prefill": [
        "https://example.com",
        "https://www.iana.org/help/example-domains"
      ]
    },
    "fields": {
      "title": "Fields to extract",
      "type": "array",
      "description": "Optional subset of fields to return: title, description, image, siteName, canonical, jsonLd, headings, links, emails, prices. Leave empty to extract all of them.",
      "maxItems": 10,
      "editor": "stringList",
      "prefill": []
    },
    "maxConcurrency": {
      "title": "Max concurrency",
      "type": "integer",
      "description": "How many URLs to process in parallel.",
      "default": 10,
      "minimum": 1,
      "maximum": 30
    }
  },
  "required": [
    "urls"
  ],
  "title": "Structured Extract input",
  "schemaVersion": 1
}
🟢tech-stack-change-detector(items, maxConcurrency)

Detect a website's current technologies (CMS, ecommerce, analytics, marketing/CRM, framework, hosting/CDN, chat, payments) and diff it against a previously-seen stack you supply, so you get exactly what was added or removed. No browser, no proxies, no login. — $0.01/call, x402 (USDC on base).

입력 스키마

{
  "type": "object",
  "properties": {
    "items": {
      "title": "Domains (with optional previous stack)",
      "type": "array",
      "description": "One entry per domain. Bare form: \"example.com\" (just detects the current stack). Diff form: \"example.com|Tech1,Tech2,Tech3\" — everything after the pipe is the stack you last saw for this domain; the Actor returns what was added/removed vs. right now.",
      "maxItems": 100,
      "editor": "stringList",
      "prefill": [
        "shopify.com",
        "wordpress.org|WordPress,jQuery"
      ]
    },
    "maxConcurrency": {
      "title": "Max concurrency",
      "type": "integer",
      "description": "How many domains to check in parallel.",
      "default": 10,
      "minimum": 1,
      "maximum": 50
    }
  },
  "required": [
    "items"
  ],
  "title": "Tech-Stack Change Detector input",
  "schemaVersion": 1
}
🟢tech-stack-detector(websites, maxConcurrency)

Detect the technologies a website runs — CMS, ecommerce platform, analytics, marketing/CRM, JS framework, hosting/CDN, chat and payments — straight from its public HTML and HTTP headers. No browser, no proxies, no login. Built for sales targeting and competitive research. — $0.01/call, x402 (USDC on base).

입력 스키마

{
  "type": "object",
  "properties": {
    "websites": {
      "title": "Websites",
      "type": "array",
      "description": "List of websites to fingerprint (e.g. `shopify.com` or `https://example.com`). One row per site.",
      "maxItems": 100,
      "editor": "stringList",
      "prefill": [
        "https://shopify.com",
        "https://wordpress.org",
        "https://vercel.com"
      ]
    },
    "maxConcurrency": {
      "title": "Max concurrency",
      "type": "integer",
      "description": "How many websites to fingerprint in parallel.",
      "default": 10,
      "minimum": 1,
      "maximum": 50
    }
  },
  "required": [
    "websites"
  ],
  "title": "Company Tech-Stack Detector input",
  "schemaVersion": 1
}
🟢url-to-markdown(urls, includeLinks, maxConcurrency)

Fetch any URL and convert it into clean, LLM-ready Markdown — headings, links, lists and emphasis preserved, scripts/nav/ads stripped. No browser, no LLM calls, no API key. Built for RAG pipelines and AI agents that need one page turned into readable text, cheaply. — $0.01/call, x402 (USDC on base).

입력 스키마

{
  "type": "object",
  "properties": {
    "urls": {
      "title": "URLs",
      "type": "array",
      "description": "List of URLs to fetch and convert to Markdown. One row per URL.",
      "maxItems": 100,
      "editor": "stringList",
      "prefill": [
        "https://example.com",
        "https://www.iana.org/help/example-domains"
      ]
    },
    "includeLinks": {
      "title": "Include links",
      "type": "boolean",
      "description": "Convert <a href> tags to Markdown links. Turn off to strip links and keep only their text.",
      "default": true
    },
    "maxConcurrency": {
      "title": "Max concurrency",
      "type": "integer",
      "description": "How many URLs to fetch and convert in parallel.",
      "default": 10,
      "minimum": 1,
      "maximum": 30
    }
  },
  "required": [
    "urls"
  ],
  "title": "URL to Markdown input",
  "schemaVersion": 1
}
🟢zid-store-products(items, maxConcurrency)

Pull live product catalogs (name, price, sale price, category, image) straight from Zid storefronts — a common Saudi/Gulf e-commerce SaaS — via their own public JSON feed. No login, no browser, no proxies. — $0.02/call, x402 (USDC on base).

입력 스키마

{
  "type": "object",
  "properties": {
    "items": {
      "title": "Zid shop subdomains",
      "type": "array",
      "description": "One entry per Zid storefront — the shop's subdomain (e.g. `furniture`) or full host (`furniture.zid.store`). Find the subdomain in the store's own zid.store URL, or via its custom domain's storefront (Zid stores usually keep the *.zid.store host reachable even with a custom domain attached).",
      "maxItems": 20,
      "editor": "stringList",
      "prefill": [
        "furniture",
        "scent"
      ]
    },
    "maxConcurrency": {
      "title": "Max concurrency",
      "type": "integer",
      "description": "How many shops to scan in parallel.",
      "default": 5,
      "minimum": 1,
      "maximum": 20
    }
  },
  "required": [
    "items"
  ],
  "title": "Zid Store Products input",
  "schemaVersion": 1
}

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