All projects on Base matching “clean”

Converts any URL (PDF, webpage, Google Doc) to clean Markdown with optional AI summary. $0.05/convert via x402 on Base.

Pre-share leak check ($0.005 USDC via x402). Scan text or an https text URL for your own terms (plain list, or salted-hash list sent per call, never stored) plus leak-shaped strings: emails, coordinates, IPs, AWS/GitHub/Slack/sk- keys, private keys, JWTs. Binary URLs are listed as unscanned. Max 10 MB, https only. Returns JSON hits with line numbers. A clean scan is not a clearance.

Fetches a URL and returns clean article text/markdown plus metadata. Deterministic, static HTML only, no JS rendering.

AI Web Extractor — turn ANY url into clean, LLM-ready markdown. POST {url}; get the main content as markdown (boilerplate/nav/ads stripped) with title, description, and links. The scrape / read / url-to-markdown primitive for RAG and research agents. Fast, cheap, x402-native.

Convert messy CSV/TSV to a clean styled XLSX plus a checks report (base64)

Fetch a public web page and return its title, description, clean Markdown (scripts, styles, nav chrome removed) and the list of links. No model call, deterministic.

Fetch a public web page and return its title, description, clean Markdown (scripts, styles, nav chrome removed) and the list of links. No model call, deterministic.

Fetch a public web page and return clean LLM-ready Markdown (Readability main-content extraction, nav/scripts stripped) plus title, byline, excerpt and OpenGraph metadata. {fullPage:true} keeps the whole body; {maxChars} caps output (default 100k). No JS rendering.

GitHub Trending repositories as clean JSON (name, stars, forks, description, language).

Extract clean, LLM-ready Markdown or token-efficient text from any public webpage for RAG ingestion, research, summarization, or agent context. Strips navigation, ads, scripts, forms, and repeated boilerplate; preserves headings and resolved links; labels fetched content as untrusted; and returns at most 50,000 characters.

Zero-Bloat A2A Live Web Search & Tech News Grounding (/v1/serp-extract) — Executes live Google News RSS + HackerNews Algolia search queries and returns clean, token-pruned results with zero ad bloat. (https://serp-extract.agentdiet.dev/v1/serp-extract)

HTML to clean Markdown conversion

Fetches a web page server-side and returns a clean text extract with token-count estimates. Strips scripts, styles, navigation, ads and boilerplate. Served in JSON. $0.002 per call.

Markdown to a clean, print-ready PDF (US Letter or A4): one-pagers, checklists with tick boxes, cheat sheets, planner pages. Deterministic, no AI rewriting, up to 4 pages / 12k chars. Returns application/pdf.

Extract a web page to clean Markdown plus metadata (title, description, links, word count)

Fetch a public web page and convert it to clean Markdown (title, description, headings, absolute links). LLM-free, deterministic, honours robots.txt. ?url=

Fetch one public web page now and return clean markdown (or plain text) of the main content plus title, description, author, published time, canonical, language and sha256. Charged only on success.

Read any public web page as clean Markdown for LLMs: main content only (no nav, ads, scripts), absolute links, title/description/lang metadata. Respects robots.txt; only successful reads are charged.

Extract clean structured content from a public web page

Page to JSON: scrape and extract any public web page URL into clean structured data JSON. Web scraper / HTML-to-JSON extractor / readability parser for AI agents and LLMs: returns title, author, site name, published date, main article text (plain text), word count, up to 200 links and an optional short summary. Web scraping, content extraction, metadata extraction, article parsing, crawl, RAG inge

Extract main webpage content as clean Markdown or structured JSON from a URL, with deterministic source hash, plain text, metadata and links. SSRF-safe with strict redirect and document-size limits.

Web content extraction: fetch any public URL and get clean readable text, title, meta description, OpenGraph data, headings, links and word count as JSON. Built for AI agents that need web page content without HTML noise.

Converts any web article URL into clean, stripped Markdown for AI context windows.

Turn any page into readable text: clean markdown plus the sha256 of the extracted content, so an agent can read a link without a browser.

falcon.sol: Use this when you need clean, comparable financial statements for a US public company without scraping 10-Ks. Send a ticker or CIK; get up to 15 fiscal years plus TTM of income statement, balance sheet and cash flow, key ratios, and the SEC XBRL tag behind every number. Unknown tickers return 404 before payment; free preview at /v1/preview. $0.015 USDC.

Web page to clean LLM-ready markdown: fetch any public URL, extract the main content (Readability reader mode, no ads/nav) and return markdown + title. HTML-to-markdown / web scrape / read URL for RAG and agents

HTTP POST /v1/web-extract with application/json body containing a public url string. Returns source-hashed clean Markdown, structured JSON, plain text, metadata and links. Safe public URLs only; strict redirect and size limits.

Fetch any public web page and return clean, LLM-ready Markdown of the main content (boilerplate, nav and ads removed) plus title, byline, site name, language, publish date and word count. Optional absolute link list.

Fetch a public web page and return clean, readable Markdown (main-article extraction via Readability, scripts/nav/ads stripped). Body: {"url": "https://..."}. Private/localhost URLs are refused; pages over 2 MB are refused; output capped at 200k chars. Not charged on errors.

Use to extract the main article or document text from a single-page URL. Not for homepages or hubs (Web Index Cleaner) and not a link inventory (Link Extractor). Server HTML only; JavaScript is not run. Output is text or markdown. If the requested extract has no main content, the other profile is tried once in the same request. The HTTP body has correlation_id and data. The item array is data.resu