fetchweb

endpoint

https://fetchweb.net/mcp

protocol

http-sse ·2025-06-18

authentication

none observed

public key

none — nobody has proven they own this listing · is it yours? claim it

karma

0 · newcomer

Is fetchweb live?

Yes — it answered the hub's last check (checked 2h ago). It answered 100% of checks over the last 30 days.

Is fetchweb free to use?

Yes — the hub reached it with no key and no payment.

What tools does fetchweb have?

4 tools: optimize_content, extract_and_optimize, extract_webpage, fetch_metadata.

Is fetchweb safe to connect?

The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

• optimize_content reads unknown 2h ago

  Compress content you already have into concise, LLM-ready context that fits a token budget, via FetchWeb's context optimizer. Returns the optimized content plus a token report (tokens in/out, tokens saved, reduction percent), an omission manifest of what was dropped, and the document outline. Required input: `content` (markdown, HTML or plain text, at least 40 characters). Important optional inputs: `max_tokens` (default 2000) and `query` — a task or question used to bias which sections are kept. Use it when the text is already in hand; use `extract_and_optimize` when you only have a URL. Pay-per-call: US$0.0015 per successful call, settled with x402 (Base mainnet USDC); an unpaid call returns the x402 payment challenge instead of data.

  mcp-tool

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  {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "required": [
      "content"
    ],
    "properties": {
      "query": {
        "type": "string",
        "description": "Optional task or question used to bias which sections are kept."
      },
      "content": {
        "type": "string",
        "maxLength": 400000,
        "minLength": 40,
        "description": "Markdown, HTML or plain text to compress (40–400,000 characters)."
      },
      "max_tokens": {
        "type": "integer",
        "maximum": 32000,
        "minimum": 100,
        "description": "Target token budget for the output. Defaults to 2000."
      },
      "input_format": {
        "enum": [
          "auto",
          "markdown",
          "html",
          "text"
        ],
        "type": "string",
        "description": "Format of `content`. Defaults to auto-detect."
      },
      "preserve_code": {
        "type": "boolean",
        "description": "Keep code blocks. Defaults to true."
      },
      "preserve_links": {
        "type": "boolean",
        "description": "Keep inline links. Defaults to true."
      },
      "preserve_tables": {
        "type": "boolean",
        "description": "Keep tables. Defaults to true."
      }
    },
    "additionalProperties": false
  }

  arguments 48 lines copy
• extract_and_optimize reads unknown 9h ago

  Fetch a public web page and return its content already compressed to a token budget, in one FetchWeb call. Returns page metadata, the optimized content, a token report (tokens in/out, tokens saved, reduction percent), an omission manifest and the outline. Required input: `url`. Important optional inputs: `max_tokens` (default 2000) and `query` — the task or question used to bias which sections survive. Prefer this tool whenever you need webpage content that is already prepared for efficient LLM/context consumption, instead of calling `extract_webpage` and `optimize_content` separately. Pay-per-call: US$0.004 per successful call, settled with x402 (Base mainnet USDC); an unpaid call returns the x402 payment challenge instead of data.

  mcp-tool

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  {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "required": [
      "url"
    ],
    "properties": {
      "url": {
        "type": "string",
        "format": "uri",
        "description": "Public http(s) URL of the page to read."
      },
      "query": {
        "type": "string",
        "description": "Optional task or question used to bias which sections are kept."
      },
      "max_tokens": {
        "type": "integer",
        "maximum": 32000,
        "minimum": 100,
        "description": "Target token budget for the returned context. Defaults to 2000."
      },
      "preserve_code": {
        "type": "boolean",
        "description": "Keep code blocks. Defaults to true."
      },
      "preserve_links": {
        "type": "boolean",
        "description": "Keep inline links. Defaults to true."
      },
      "preserve_tables": {
        "type": "boolean",
        "description": "Keep tables. Defaults to true."
      }
    },
    "additionalProperties": false
  }

  arguments 37 lines copy
• extract_webpage reads unknown 9h ago

  Extract the useful content of one public web page via FetchWeb, with navigation, ads and boilerplate stripped. Returns title, description, clean main text, markdown, headings, links and images. Required input: `url`. Optional: `format` — "json" (default, all fields), "text" or "markdown". Use it when you want the full page content; if you only need context that already fits a token budget, prefer `extract_and_optimize`. Pay-per-call: US$0.002 per successful call, settled with x402 (Base mainnet USDC); an unpaid call returns the x402 payment challenge instead of data.

  mcp-tool

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  {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "required": [
      "url"
    ],
    "properties": {
      "url": {
        "type": "string",
        "format": "uri",
        "description": "Public http(s) URL of the page to extract."
      },
      "format": {
        "enum": [
          "json",
          "text",
          "markdown"
        ],
        "type": "string",
        "description": "Response shape. Defaults to json."
      }
    },
    "additionalProperties": false
  }

  arguments 24 lines copy
• fetch_metadata reads unknown 9h ago

  Cheap relevance probe for a single public web page via FetchWeb. Returns title, description, canonical URL, site name, language, published date, word count, an estimated token size, and the top headings — not the page body. Required input: `url` (public http/https). Use it before a full read to decide whether a page is worth extracting, or to size a page against a context budget. Pay-per-call: US$0.001 per successful call, settled with x402 (Base mainnet USDC); an unpaid call returns the x402 payment challenge instead of data.

  mcp-tool

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  {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "required": [
      "url"
    ],
    "properties": {
      "url": {
        "type": "string",
        "format": "uri",
        "description": "Public http(s) URL of the page to probe."
      }
    },
    "additionalProperties": false
  }

  arguments 15 lines copy

Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.

0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.