web-search-and-content

Vector embeddings API: converts up to 64 pieces of text per call into 768-dimensional numeric vectors suitable for similarity comparison, no separate provider account or key needed. Pay per call in USDC, and nothing submitted is retained afterward. Use it to build semantic search indexes, cluster related documents, or de-duplicate near-identical text at scale.

URL unshortener API: follow any short link safely and get the final destination, full redirect chain, and final status — without visiting it yourself. Link-safety pre-check for agents clicking the unknown web.

Page metadata API: extract the title, canonical URL, favicon, OpenGraph tags, Twitter card tags, description, author, and keywords from any public web page as clean JSON — the everything-you-need for link previews, SEO audits, share cards, and content catalogs. SSRF-guarded, 512KB cap.

Extract structured metadata from a page: title, description, OpenGraph, JSON-LD, headings, links

Fetch a public website with private-network blocking and report transparent heuristic technology signatures from markup and headers.

Fetch a URL and return its main article as clean HTML, Markdown and plain text.

One-call web research for AI agents: searches the live web AND reads the top result pages as clean markdown — content, not just links. Give a question, get ranked results plus the full readable text of the best pages. Optional ?domains=nih.gov,pubmed.ncbi.nlm.nih.gov to restrict page reading to specific sources. Pay-per-call in USDC via x402 — no signup, no API key. Use for answering questions from fresh sources, research, and RAG.

Returns a structured knowledge graph of the AI tooling ecosystem, expandable by topic and depth, for navigating MCP servers and related capabilities.

Schema-driven extraction: fill YOUR JSON schema from any URL. Hybrid LLM + deterministic canonicalization. 0.03/call.

reCAPTCHA v2/v3, hCaptcha, Turnstile. Paid per call via x402 in USDC on Base. No free trial — every call spends a prepaid solver balance.

Extract webpage metadata for agent research and URL triage: title, description, canonical URL, Open Graph, and Twitter metadata from a public page.

Returns clean, normalized datasets of AI model benchmarks, pricing, leaderboard scores, and Ethereum EIPs, parsed from sources that are costly to scrape.

Fast LLM answer for one prompt (Llama 3.1 8B) via GET q=: summarize, classify, rewrite, draft, answer; plain text up to 400 tokens, optional system instruction. cheap LLM inference for agents, no API key

Web search for AI agents: query in, ranked results out (title, URL, snippet) as clean JSON. Sovereign metasearch — no API key, no upstream account. Also does news search (type=news). Priced to undercut the incumbents.

Answer a question from any web page with verbatim quotes: fetches the URL, reads it and returns found, answer, supporting quotes and optional structured fields (q="fields: a, b, c"). web extraction, page Q&A, structured extraction, grounded answer

Scrape any URL and get clean markdown content — ideal for extracting readable text from web pages

One page load answers everything an agent needs to reason about a page: the DOM after JavaScript capped at 2 MB, the CDP accessibility tree flattened with parent references, every link with rel and target and an internal or external verdict, every form field with its label and autocomplete hint, console errors and warnings with source and line, a screenshot, navigation timings and a summary of the requests the page fired. Chrome runs without credentials, without cookies and without login, so a s

Read any web page as clean, LLM-ready text: URL fetch that strips scripts, nav and boilerplate and returns title, meta description, links and up to 120 KB of body text as JSON; JSON and plain text pass through. web scraper, page reader, RAG ingestion

Web research credit pack API — buy 10 accepted search, fetch, and extract calls for repeated AI-agent research workflows.

Web search for AI agents: search the web for current, real-time info to answer questions, research topics, and ground LLM responses with cited sources. Returns ranked, de-duplicated results (title, URL, clean snippet, source, date, plus extra context snippets for RAG) and top news. Also: internet search API, live web search, real-time search engine, news search, fact lookup, web grounding, RAG retrieval. For AI agents and chatbots. Usage: GET /search?q=your+query (count=1-10).

Turn a web page or raw text into JSON that matches YOUR JSON Schema. LLM-powered, schema-constrained output — no parsing needed.

Convert any webpage URL into clean, ad-free Markdown text optimized for LLM context windows. Paid in USDC on Base.

Embeddings API: 768-dimension embedding vectors for up to 64 texts per call, computed locally on our hardware — no OpenAI key, no account, pay per call with USDC. Use for semantic search, similarity, clustering, deduplication, and RAG indexes. Inputs are never stored.

Fetch a URL and pull out its machine-readable structured data: all JSON-LD blocks (schema.org), Open Graph and Twitter Card tags, standard named meta tags, and inline microdata items. Also returns the page title, canonical URL, language and the distinct schema.org types found. Ideal for turning a product, article, recipe, event or organization page into structured fields without bespoke scraping.