web-search-and-content

Document extraction: fetch a PDF, DOCX, or CSV by URL and get clean Markdown plus structured JSON — PDF text by page with metadata (honestly flags scanned PDFs that would need OCR), DOCX converted to real Markdown, CSV parsed to typed columns + JSON rows + a Markdown table. For agents that need document contents, not bytes.

Skim Signal: AI/tech news — high-signal Hacker News stories, fresh arXiv AI papers, and official vendor announcements as structured items (title, excerpt, source, link). Refreshed on a 10-minute cycle; poll as often as you like.

Keyless attested web scrape: ?url= → { title, markdown, word_count }. $0.02 Base USDC (agent scrape band).

RobotsShop Trust Index — live re-probe of one URL

Schema-driven extraction: fill YOUR JSON schema from any URL. Hybrid LLM + deterministic canonicalization. 0.02/call.

Returns verified, citation-backed facts about new AI model releases, benchmark scores, and protocol changes, each with source URLs and confidence.

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).

Base DEX pool API / hot liquidity pools on Base / Aerodrome and Uniswap pool screener / trending pools / LP opportunity finder. Ranks top Base DEX pools by sustainable volume and separates healthy pools from pump/wash-trade pools using volume-to-TVL ratios. For AI trading agents and liquidity providers on Base.

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

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

Web scraping API: fetch any public web page and get its readable content as clean markdown — title, author, canonical URL, boilerplate stripped. Honest User-Agent, robots.txt honored (explicit Disallow returns an unpaid 403), private/internal targets refused, at most 3 safety-revalidated redirects, 1MB input / 100k character output caps. HTML pages only. Use for research agents, content extraction, summarization pipelines, and RAG ingestion. Cached up to 5 minutes per URL.

Read any public web page and get a clean LLM summary in ONE call — fetch, boilerplate removal, and Claude summarization fused. Query: url (public http/https); instructions? (optional steer, e.g. 'focus on pricing', <=200 chars). Returns {url, title, summary, word_count}. Replaces a scrape->prompt->parse pipeline with a single flat-price call.

URL → clean, LLM-ready markdown (boilerplate/nav/ads stripped, headings + lists + links preserved) with a signed provenance receipt pinning the markdown to its source — the RAG-ingest primitive. Deterministic (no LLM): same URL + same source bytes ⇒ byte-identical markdown.

Lightweight text extraction from URL. No JS rendering — just HTTP GET + HTML parse. Fast and cheap for most content sites.

Keyless web search for AI agents. Give it a natural-language query and it returns ranked organic results (title, url, snippet) drawn from live multi-source search (DuckDuckGo HTML/Lite plus public SearXNG instances, with automatic fallback so it never returns empty when one source flakes). Optionally it also fetches the top result and extracts the main content as clean, token-budgeted markdown (answer_extract), so an agent can read the page without running its own crawler, browser or scraper. Use it to answer real-world questions, gather fresh facts, research a topic, find documentation or check what a site says, without maintaining a search index or paying for Google/Bing/Serper API keys. Resilient (short timeouts, multi-source), SSRF-hardened, 0.005 USDC on Base.

Fetch and parse sitemap.xml. Returns up to 500 URLs with lastmod/changefreq/priority. Auto-detects sitemap index. Built for AI agents indexing sites, tracking content changes, and SEO audit. Use url param

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

GlianaAI - pay-per-call AI + utility APIs (80+ models incl. LLM chat), no signup, USDC. This resource: tools/scrape. https://ai.glianalabs.com

GlianaAI - pay-per-call AI: LLM chat (OpenAI-compatible), image, video, music, speech - 80+ models, no signup, USDC. This resource: claude-opus-4.8 (Text Generation). https://ai.glianalabs.com

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

Fetch any public web page and return clean main content as JSON: title, author, publish date, hostname, excerpt, full text, and word_count. Boilerplate (nav, ads, footers) is stripped. Input: url (public http/https). Use to read articles, docs, or pages and feed clean text to an LLM.

GlianaAI - pay-per-call AI + utility APIs (80+ models incl. LLM chat), no signup, USDC. This resource: tools/rpc. https://ai.glianalabs.com

Fetch any URL and return clean text content only (no markdown formatting). Minimal output optimized for token-efficient LLM consumption. Removes ads, navigation, and boilerplate.

Stratalize — attested finance, legal, healthcare, and compliance intelligence. Signed, independently verifiable receipt on every call (trust.stratalize.com/verify). Governed web research synthesis with cryptographic receipt. Agent submits a research question; returns an AI synthesis across live web sources with every source domain bound into a settlement receipt anchored on Base. Use when you need auditable, verifiable web research where provenance matters. Output: synthesis, citations, data_sou