All projects matching “cleaning”

Safe Read: fetch one public web page and get its clean main text, title, metadata, a sha256 content hash, and prompt-injection warnings with a 0-100 risk score (visible text, hidden elements, HTML comments, alt/meta attributes, invisible Unicode, base64). SSRF-guarded: DNS-checked and pinned public addresses only, 4 redirects max, 2 MB, 8 s, text/html and text/plain only. Errors are not charged.

Web scraping proxy API - send a URL, get clean markdown or HTML content back. Supports dynamic rendering.

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

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 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.

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.

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

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.

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

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

HTML to clean Markdown conversion

Latest holder snapshot for one coin (total holders, active holders, per-chain breakdown) where a clean per-chain indexer exists.

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.

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.

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.

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)

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

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.

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.

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

Extract clean structured content from a public web page

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.

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.

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.

Page reader: read any public web page and get its title, description and clean text for agents.

Data Quality Gate: deterministic dataset quality verdict