All projects matching “comments”

Reddit comment-thread scraper — the comment tree of any Reddit post for AI agents. Pass a post URL and get the post plus its nested comments (depth- and limit-controlled): for each comment the author, body, score, nesting depth, parent id, permalink, OP flag, and timestamp; a truncated flag plus totalComments show when a thread has more than returned. No login, no Reddit API key. Analyze discussio

Federal Register search, deterministic. Answers "new SEC rules on stablecoins", "is there an open comment period on AI", "when does this rule take effect". Full-text search over every US federal rule, proposed rule and notice, with effective dates, comment deadlines and docket ids — or mode=open-comments for comment periods closing soonest. Typed documents straight off the official API. No LLM, no

Use when you need what viewers say about a YouTube video, e.g. sentiment, feedback mining, FAQ or product research: up to 100 top-level comments with text, like count, reply count, relative publish time and pinned / by-creator flags, plus the total comment count. Commenter names, handles and channel IDs are intentionally NOT returned. Videos with comments off and errors are not charged.

US federal regulation search — find Federal Register rules, proposed rules, notices and presidential documents by full text, agency, type, date, docket, RIN, significance or CFR part, with abstract, effective date, comment deadline and official links for each. Use to check whether a rule exists on a subject, what an agency has issued, or when a comment period closes.

Web page to markdown (read URL as clean text) for LLM agents: main content only (no nav, cookie banners, ads), with title, description, author, dates, language, headings, internal/external links and JSON-LD types, PLUS a prompt-injection scan of the page (visible text, hidden HTML, comments, invisible Unicode) so your agent knows whether the content tries to give it orders. Fetched from Cloudflare

Get detailed information about a specific LinkedIn post including full content, likes, comments, shares, reactions, embedded links, images, and author details.

Prompt-injection screen for text or a web page an agent is about to read: finds instruction overrides (many languages and obfuscated spellings), fake system or role markers, jailbreak personas, data-exfiltration links, requests for keys or seed phrases, tool, shell, or payment hijacks, and hidden content (invisible Unicode smuggling, zero-width and bidi characters, HTML comments, hidden elements,

Repair malformed JSON text into valid parsed JSON: markdown code fences, single quotes, smart quotes, unquoted keys, trailing commas, comments, Python literals (True/None), raw newlines in strings, and truncated output (auto-closes strings, arrays and objects). Returns the parsed value plus a log of every repair applied. Built for LLM output that almost parses. POST a JSON body like: {"text":"```j

TikTok profiles, posts, comments, fast-API feeds, search discovery.

Hacker News stories: front-page lists (top, new, best, ask, show) or full-text search, each with title, URL, domain, points, comment count, author, time, HN link and text excerpt.

This tool reads live information from Hacker News, a popular website where people share and discuss technology news. You can either ask for a current list of stories (like the Top, New, Best, Ask, Show, or Job lists) or ask for every story, job posting, and poll that was posted on one specific calendar day in the past. You can also choose to pull in the discussion comments underneath each story, i

Fetch the first page of public comments for a post.

Classify text an AI agent is about to read for prompt injection: verdict (safe, suspicious, malicious), score 0-100, findings with matched spans; decodes hidden Unicode tags, HTML comments, CSS-hidden text and base64 before scanning.

Audit an HTTP/HTTPS URL for metadata leaks: server/framework headers, author/generator meta tags, HTML comments, and third-party trackers.

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.

Repairs malformed LLM JSON: strips Markdown fences and prose wrappers, fixes trailing commas, converts Python literals (True/False/None) and single/unquoted keys, removes comments, recovers balanced JSON from truncated output. Body {input} -> {ok, repaired, applied}.

Universal social post stats for $0.01. Pass any public post URL from instagram.com, tiktok.com, twitter.com, or x.com as ?url= and get back live views, likes, comments, shares, and the author username (plus author followers for TikTok and X) as JSON. The platform is auto-detected from the URL hostname. Great default endpoint for agents that just have a link.

Solana X Raid (custom) — one payment creates a custom cluster of jobs for a single X post: 50 likes (≈ 1.25 USDC), 20 reposts (≈ 0.5 USDC), 23 comments (≈ 0.5750000000000001 USDC), 5 bookmarks (≈ 0.125 USDC). Per-slot price is 0.025 USDC; total is ≈ 2.45 USDC (sum of slots × 0.025). Flow: call without X-PAYMENT returns 402 discovery; retry the exact same URL with X-PAYMENT to confirm payment and c

Use when you need to discover arXiv e-prints by keyword, title, author or field query: pass any arXiv search_query string (e.g. "transformer attention", "au:vaswani", "ti:\"attention is all you need\"", "cat:cs.LG AND all:diffusion"). Returns up to 25 papers with id, title, summary, authors (names + affiliation without emails), primary category, categories, published/updated, comment, journal ref,

AliExpress product search from the public search page: product ID, title, sale price and original price with currency code, discount %, promo label (welcome-gift cards have no price), star rating and units-sold text when shown, listing date, image and product URL; 60 products per page plus the total result count. Language and currency can follow the caller's region (the currency code is always ret

Social Mentions & Sentiment: daily mention counts, distinct authors and mean VADER sentiment for a brand, product or topic over the last 1-7 days, plus the top 10 co-occurring terms. Sources: Bluesky and Hacker News, plus Reddit and X (latest, newest first) when available. One page per source: days beyond its reach come back truncated (coverage_from). Aggregate only, no text, no authors; a day und