Returns the machine-readable pricing menu for this server: which tools are free vs paid, pay-per-call vs discounted prepaid pricing, how to deposit and spend a prepaid balance, payment method, and quantified value (token savings, ROI). Call this first to understand what is available and at what cost before using paid tools.

Check the prepaid USDC balance for an address. Free. Returns remaining balance, the discounted prepaid per-call price, and how many paid calls it covers. Deposit once with account_deposit to pay a discounted per-call rate with no 402 round-trip and no gas per call.

Open or top up a prepaid balance by depositing USDC on Base via x402 (one on-chain settlement). After depositing, paid tools are debited off-chain at the discounted prepaid price with no per-call 402 and no per-call gas, until the balance runs out. Non-refundable credits. Minimum deposit $0.50. Call with the signed x402 PaymentPayload in _meta["x402/payment"] for the amount you want to deposit (>= minimum); the full deposited amount is credited to the paying address.

Fetch a URL and return clean text, stripped of HTML, scripts, styles, and navigation. Benchmark (11 real pages): median 98.1% token reduction (53 820 → 2 001 tokens); saves ~$0.156/call at Sonnet pricing ($3/M tokens) vs loading raw HTML. Break-even at 26 KB pages — virtually all real pages qualify. Deterministic, parallel-safe, zero-setup. Cost: $0.02 USDC on Base. First call free per wallet address.

Fetch a URL and return clean HTML with structure preserved — tags, classes, ids and semantic layout kept, but scripts, styles, comments, SVG/iframe blobs and inline JS handlers removed. Unlike fetch_extract (flattens to text) or html_to_markdown (converts to Markdown), this keeps the DOM skeleton so an agent can reconstruct the page as static HTML. Ideal for site migration (e.g. WordPress → static). Cost: $0.02 USDC on Base. First call free per wallet address.

Fetch a URL and return a JSON inventory of every asset it references — images (incl. srcset), stylesheets, scripts, fonts, icons/favicons and media — all resolved to absolute URLs and deduplicated. Ideal for auditing or migrating a site: get the full asset manifest in one cheap call instead of loading the page into context. Free.

Fetch a URL and return a JSON list of all its links, classified as internal (same host), external (different host) or other (mailto:, tel:, etc.), resolved to absolute URLs, deduplicated, each with its anchor text. Ideal for systematically crawling a site for migration or for building a sitemap. Free.

Generate one or more random UUID v4 values. Use when you need unique identifiers for records, sessions, tokens, or any entity requiring a globally unique ID.

Compute a cryptographic hash (SHA-256, SHA-1, or SHA-512) of any text string. Returns lowercase hex. Use for integrity checks, content fingerprinting, or generating deterministic IDs from content.

Encode a UTF-8 text string to Base64. Handles non-ASCII characters correctly. Use when you need to embed binary or unicode data in JSON, URLs, or HTTP headers.

Decode a Base64 string back to UTF-8 text. Handles non-ASCII characters correctly. Use to recover the original text from a Base64-encoded value.

Percent-encode a string for safe inclusion in a URL query parameter or path segment (encodeURIComponent). Use when building URLs that contain special characters, spaces, or non-ASCII text.

Decode a percent-encoded URL string back to plain text (decodeURIComponent). Use to recover the original text from a URL-encoded value.

Parse and reformat a JSON string with a configurable indent level (0 = minified, 2 = standard pretty-print). Use to pretty-print, validate, or minify JSON.

Convert between Unix timestamps (seconds) and ISO 8601 date strings. Auto-detects direction: numbers → ISO, date strings → Unix seconds. Accepts Unix in seconds or milliseconds (auto-detected). Use when you need to convert epoch values to human-readable dates or vice-versa.

Count characters, words, lines, and sentences in a text string. Returns a JSON object. Use when you need to analyse or report on the size and structure of a body of text.

Convert a URL or raw HTML string into clean Markdown. Strips navigation, ads, scripts, and boilerplate; preserves headings, lists, links, code blocks, and emphasis. Use instead of loading raw HTML into context — saves 85–98% of tokens compared to the original page. Accepts either a URL (fetched server-side) or an html parameter with raw HTML.

Fetch a URL and extract structured data matching a JSON Schema — title, author, date, price, description, rating, image, and more. Reads JSON-LD, Open Graph, Twitter Cards, and Schema.org microdata embedded in the page; returns only the extracted JSON object. No LLM required: extraction is deterministic. Ideal for articles, products, recipes, events, and any page using semantic markup.

Compare two text strings and return a unified diff showing additions (+), deletions (-), and context lines. Useful for review agents, changelog generation, and patch creation. Returns '(no differences)' when inputs are identical. Free — no payment required.

Fetch a CSV from a URL (or accept raw CSV text) and query it: select columns, filter rows, sort, and limit results. Returns JSON array of objects by default, or CSV with format=csv. Use instead of loading the full CSV into your context — send only the data you need.

Fetch JSON from a URL (or accept raw JSON) and query it with a JSONPath-lite expression. Supports property access, array indexing, wildcards ([*]), recursive descent (..), and filter expressions ([?(@.price < 10)]). Returns only the matching values as JSON — use instead of loading large JSON payloads into your context.

Fetch a PDF from a URL and extract its text content. Handles FlateDecode-compressed streams (the most common compression in modern PDFs) and RC4-encrypted PDFs that open with an empty password. Works on text-based PDFs (those generated from Word, LaTeX, web, etc.); does not perform OCR on scanned/image-only PDFs. Returns clean plain text — use instead of loading raw PDF bytes into your context.

Run a regular expression against text and return all matches. Supports capture groups, named groups, and multiline input. Returns a JSON array of match objects — each has match (full match) and groups (array of capture groups, or object for named groups). Use for extracting emails, URLs, codes, patterns, or any structured data from unstructured text.

Fetch a URL and extract its metadata: title, meta description, Open Graph tags (og:title, og:image, og:type…), Twitter Card tags, canonical URL, robots directive, author, keywords, JSON-LD structured data, and lang/charset. Returns a structured JSON object. Much cheaper than loading the full page — ideal for link previews, SEO audits, and content classification.

Estimate the number of tokens a text will consume when sent to an LLM. Uses a byte-pair encoding approximation compatible with cl100k_base (GPT-4, Claude, and most modern models). Accurate to ±10% on English prose. Returns token count, character count, byte count, and a cost estimate footnote. Use before sending long context to an LLM to avoid surprises.

Fetch and parse an RSS 2.0 or Atom 1.0 feed URL. Returns structured JSON with feed metadata (title, description, language, last-build date) and an array of items (title, link, pubDate, author, categories, description, enclosure). Use instead of fetching raw XML — saves 90%+ of tokens and eliminates XML parsing in the agent. Ideal for news aggregation, content monitoring, and feed-based workflows.

Fetch and parse an XML sitemap (urlset or sitemapindex). Returns structured JSON: for urlsets — array of URLs with loc, lastmod, changefreq, priority, plus image/news sitemap extensions; for sitemapindex — list of child sitemap URLs. Use to enumerate all pages of a site, find recently updated content, or build a crawl queue — without loading raw XML into context.