Search open map data for places by keyword, optionally restricted to a bounding box or country. Returns ranked hits with coordinates and place type - e.g. coffee shops in a city, airports in a region.

Compare two OpenAPI 3.x or Swagger 2.x documents and return a structured diff: added / removed / changed endpoints, with a conservative "is any change breaking?" flag. Breaking = an endpoint or required-2xx status was removed, a required parameter was added, an optional param became required, a param type changed, or a JSON body field became required. Pure CPU - deterministic, no network, no $ref dereferencing (resolve refs upstream if needed).

Flag outliers in a numeric series using either the IQR rule (Tukey fences at 1.5·IQR - robust, default) or z-score (|z| > threshold - assumes normality). Returns the outlier values + their indices + the thresholds used so you can decide whether to trust them.

Inspect a PDF without downloading the whole thing into your model: page count, title, author, subject, creator, producer, creation/modification dates, encryption flag, and byte size. Body: {"url":"https://…/file.pdf"}.

Compute simple (SMA) and exponential (EMA) moving averages over a numeric series. Returns one value per input position - the first (window-1) SMA values are null since there isn't enough history. EMA uses the standard alpha = 2/(window+1) smoothing factor used in technical analysis.

Search operations in an OpenAPI 3.x or Swagger 2.x spec against a free-text query. Tokenizes the query (lowercase, alphanumeric runs), scores each operation by which fields the tokens match - operationId +3, path +3, tags +2, summary +2, description +1 per matched token - and returns ranked results with a `matches` array naming the contributing fields. Sort: score descending, then path ascending for stability. Limit defaults to 10 (max 100).

Resolve the metadata for a single NFT: title, description, image URLs (original + cached CDN), attributes/traits, and the standard (ERC-721 vs ERC-1155). Useful when you have a contract+tokenId and need the display data without re-fetching the whole collection.

Generate a single-use hosted onramp URL that lets a human fund any wallet with a card or Apple Pay - the fastest way to put real USDC into an agent's wallet. Returns the ready-to-open URL, and a fee-inclusive quote when the onramp provides one. Networks: base, ethereum, polygon, arbitrum, optimism, solana.

Flesch Reading Ease score and Flesch–Kincaid grade level for English text, plus word/sentence/syllable counts.

Format a timestamp as a human relative phrase ("3 hours ago", "in 2 days") versus now or a reference time.

Fetch and validate a domain's SPF record (RFC 7208). Parses mechanisms (ip4/ip6/include/a/mx/all), counts DNS lookups against the famous 10-lookup limit, and flags the qualifier on `all` (-/fail, ~/softfail, ?/neutral). The first stop when an email is hitting the spam folder.

Sort the lines of a text. order: asc (default) | desc | numeric. unique:true removes duplicates; ci:true is case-insensitive.

Turn any text into a URL-safe slug (lowercase, hyphenated, diacritics stripped).

Parse a semantic version, or compare two (a vs b → -1/0/1, with greater/lesser flags).

Caesar-cipher a string. Default shift 13 (ROT13, self-inverse). Set shift for any rotation 1-25.

Public holidays for a country and year from an open public-holiday dataset (keyless, 100+ countries): date, local name, English name, nationwide flag, and holiday types. Pairs with /api/business-days and /api/country-info.

Fetch a site's robots.txt and answer: may this user-agent crawl this path? Returns the matched rule and all declared sitemaps.

Parse a URL into components: protocol, host, port, path, query params (decoded), hash, origin, punycode hostname.

Truncate text to a maximum length, adding an ellipsis (or custom suffix). Optionally break on word boundaries.

Counts for any text in one call: characters (Unicode code points), words, sentences, paragraphs, avgWordLength, readingTimeMinutes (200 words a minute) and estimatedTokens, a rough LLM token estimate (about 4 characters a token, one per Chinese or Japanese character). Chinese and Japanese text, which has no spaces, is counted a character per word, and 。！？ end sentences.