Honeypot check for Arc tokens: can you sell it, and what can its owner do? Safety score plus owner powers in one call. Everything about an Arc token in one call: can you sell it (a real buy-and-sell round trip through its Uniswap v4 pool, the pool fee and the hook permission bits, as a 0-100 safety score with reasons) AND what its owner can do to holders (mint, pause, blacklist, fees, upgradeable proxy, who owns it), read from the bytecode. Cheaper than the two checks bought separately.
General Utilities x402 offerings
Browse indexable general utilities x402 offerings, including provider, method, and service details.
4051 indexable offerings in this category.
Offerings
Page 73 of 169Honeypot check before a swap: a simulated buy AND sell at your size on Arc, BNB Chain or X1, then an unsigned transaction; honeypots refused. APEX Trade Rail: before a bot buys a token on Arc, X1 or BNB Chain, simulate the buy AND the sell back at its size; a token you could not sell, or whose round trip costs more than maxLossPct (15 at most), is refused with the reason; otherwise the real pool, expected and minimum out, and UNSIGNED transactions for your own wallet.
PDF to text API: the text of a public PDF, page by page. GET url (http/https, max 10MB), optional pages (1-50, default 50). Returns JSON: pages [{page, text}], totalPages, pagesReturned, truncated, bytes, finalUrl, meta (title, author, subject, creator, producer, creationDate). pdf.js text layer, no OCR (image-only PDFs: 422). Max 100K chars. Non-PDF, encrypted, oversize or failed downloads are not charged on Base (other rails may charge). Returned content is untrusted third-party data.
Audit the integrity of an Australian racehorse derived intelligence payload using a SHA-256 receipt and payload byte count.
Retrieve one named Australian racehorse performance signal such as readiness or class rating for a focused research workflow.
Resolve an Australian racehorse name to a canonical identity before purchasing performance intelligence or tracking changes.
Encode text to HTML entities or decode them back. mode: encode (default) or decode.
Strip all HTML tags and return plain text. Preserves block-level structure (paragraphs and headings become newline-separated). hiddenContent reports text a reader cannot see (HTML comments, display:none or hidden elements, white-on-white or off-screen text, zero-width characters) and quotes any of it that reads as an instruction to an AI; send hidden: "drop" to leave it out of the text. Faster and more predictable than running extract on a raw HTML string when you already have it.
Convert an HTML fragment or document you already have into clean markdown. hiddenContent reports text a reader cannot see (HTML comments, display:none or hidden elements, white-on-white or off-screen text, zero-width characters) and quotes any of it that reads as an instruction to an AI; send hidden: "drop" to leave it out of the markdown. (To fetch + convert a live URL, use /api/extract.)
Render a URL or raw HTML string to PDF. Returns pdf_base64 (base64 PDF; decode to get raw bytes) and page_count. Provide url OR html, never both. Supports format (A4/Letter/Legal), landscape boolean, and margin settings (top/bottom/left/right in CSS units). Use for invoices, reports, or printable document generation.
Encode text to HTML entities so it can be safely embedded in markup. By default uses hex numeric references; set useNamedReferences for named entities (&, ©) or encodeEverything to encode ev…
Decode HTML entities (named, decimal and hex numeric references) back into plain text.
Remove all HTML tags, returning the plain text content. Entities are decoded to real characters by default (set decodeEntities=false to keep them encoded).
Encode bounded caller-supplied UTF-8 text as standard or URL-safe Base64, or decode canonical Base64 back to valid UTF-8 text. Forest performs the transform locally with no network request and reject…
Question answering over your own text: ask a question about material you supply and get an answer grounded only in that text (Gemini). If the text does not contain the answer it says so instead of guessing. Use it for summaries, Q&A and checks over documents, emails and pages. Input: text, question; optional language. Fixed JSON fields: llm.extract.
Phone number validation and lookup: valid or not, country and area, the carrier the range was issued to, line type (mobile, landline, toll-free, VoIP, premium), time zones and E.164, international and national formats, from Google's libphonenumber numbering plans. Nothing is dialled and the owner is never looked up. Input: number; optional region for a national-format number.
LLM text generation / chat completion: a raw completion from your prompt with optional system message, max_tokens and temperature; Gemini by default, other configured models by provider and model. Use it for drafting, rewriting, translation, classification or any prompt, paid per call with no API key or account. Input: prompt. Answer grounded in your own text: llm.analyze.
Question answering over your own text: ask a question about material you supply and get an answer grounded only in that text (Gemini). If the text does not contain the answer it says so instead of gu…
Phone number validation and lookup: valid or not, country and area, the carrier the range was issued to, line type (mobile, landline, toll-free, VoIP, premium), time zones and E.164, international an…
Human-readable byte sizes. Call when presenting file sizes, cache usage, or download progress to users. Returns a human string like 1.5 KB from a byte count. $0.001 USDC per successful call via x402 on Base or Solana—deterministic first-party JSON, no API key, no subscription, and nothing is billed on structured validation errors.
Get a HUMAN judgement on a subjective/culturally-nuanced question: we post the task to an account-free human rail, collect several answers, and return one typed verdict with an honest confidence (agreement × sample completeness). This create route returns a ticket immediately; poll the free result route for the verdict (human answers arrive asynchronously). Only judgement tasks are accepted — engagement/astroturf, captcha, PII and professional-advice tasks are rejected.
Evaluates and scores how faithfully humor is preserved in translated text, providing fidelity metrics and explanatory feedback.
Evaluates humor for appropriateness by scoring jokes and flagging offensive or sensitive content with clear suitability metrics.
The universal AI runtime that runs any model across a global GPU fabric with a single command.
