web-search-and-content

Search a topic and get the full content of the best pages, in one call. Search, then read the top results, in one call: ranked results from a real web search, and for each of the top pages its main content as markdown, read through a residential IP with a real browser. A page that could not be…

Web search API - live Google (default) or Bing SERP for a query: search engine results returned as ranked organic hits with title, URL, domain and snippet, localised by location and language. A google search api / serp api for agents: search the web, live web search for grounding, RAG and web lookup.

AI data lookup: ask any question, get facts + sources.

URL -> full page content as clean Markdown, ready for LLM context. Strips nav/ads/scripts, preserves headings/links/lists. Handles redirects, timeouts, size caps, SSRF. The reliable web-reader agents need before feeding a page to a model.

Enumerate a site's URLs from robots.txt + sitemap.xml (sitemap-index aware) — map a domain before crawling it

Extract up to ten URLs in one paid call.

Read any public web page as clean text: title, description, canonical URL, the readable body with scripts, styles and navigation stripped, the first 50 links resolved to absolute URLs, and a word count. One URL in, up to 100,000 characters out; redirects are not followed, and a page with no readable text (JavaScript-only) is 422 and not charged. Pay-per-call via x402. An empty body is answered for the published example page (https://example.com/); send {"url":"https://…"} for any other page.

Read any public web page as clean markdown — rendered, boilerplate stripped, ready for a context window. Use it when your agent needs the content of a URL and has a wallet instead of a scraping stack. Charged ONLY if the fetch succeeds; a failed fetch costs nothing. stealth=true ($0.05) gets past aggressive bot protection. Pair with /v1/web/search to find pages first.

Open-weight text embeddings at a fixed model and precision: deterministic vectors for RAG and memory pipelines, identical across suppliers. POST /v1/text with {inputs} (a string or array of strings) and get the embedding vectors as one JSON object. Pay per request in USDC; no account, no API key.

What does the open web say about this query? Ranked title/url/snippet results for agents, served through an automatic multi-engine failover chain so a single call still answers when any one backend is blocked, rate-limited or timing out from a datacenter IP

Live web search for agents: up to 10 results with title, URL and snippet. Use it when your agent needs to find current pages and has a wallet instead of a search API key. Charged ONLY if the search succeeds. Results pair with /v1/web/read, which returns any of them as clean markdown.

Research brief on any question: live web sources gathered, then an AI-written synthesis with key points and a cited source list. Ask in plain language — built for conversational agents and research bots.

What does the open web say about this query? Ranked title/url/snippet results for agents, served through an automatic multi-engine failover chain so a single call still answers when any one backend is blocked, rate-limited or timing out from a datacenter IP.

Source-returning web search with normalized results and signed delivery

Detect the technology stack a website runs on. Given a domain, returns the software and services it uses (CDN, analytics, frameworks, CMS, payment, hosting, security) grouped by category, plus a domain rank, last-seen date, country and public social links. Unknown domain returns found=false.

LLM Chat: Chat with a language model. OpenAI-compatible /v1/chat/completions interface. Supports 50+ models. Free models (auto, eco, premium) are $0 — paid models (gpt-5.2, claude-opus-5, deepseek-v4-pro, ...) are charged at cost. See /tools/llm_chat/models for the full model list and rates. Pay per call in USDC on Base via x402 — POST https://x402.freeq.one/tools/llm_chat.

Turn messy text — or any URL's page content — into structured JSON matching the shape you ask for, so an agent can consume a web page as data instead of prose

Hacker News full-archive search: stories, comments, Show HN and Ask HN with points, comment counts and URLs

What is the actual answer to this question, according to the live web right now? Runs a multi-engine search, reads the top pages, and returns one synthesised answer with inline [1][2] citations and the source URLs behind them — the whole search-read-summarise loop in a single paid call instead of a dozen

Crawl a site from a start URL (same-domain, breadth-first) and return each page as clean Markdown

Turn messy text — or any URL's page content — into structured JSON matching the shape you ask for, so an agent can consume a web page as data instead of prose

Web extraction for AI agents: URL to clean Markdown + metadata, automatic JS rendering, robots.txt respected. No API key.

Text statistics API: characters, words, sentences, average sentence length, Flesch reading-ease score, estimated reading time, and estimated LLM token count for any text — instant, computed locally, nothing stored. For context-budget checks, readability gates, and content QA in agent pipelines.

PDF text extraction API: give it any public PDF URL and get clean layout-preserving text back in one call. Handles digital PDFs up to 25MB. Use it as a PDF parser, PDF-to-text converter, or document ingestion step for RAG and analysis agents. Files are processed in a temp sandbox and deleted immediately.