All projects matching “reddit”

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

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

HivemindOS service router for agents: one paid call returns the full HivemindOS commercial catalog (crypto research, wallet risk, Reddit customer research, media, models, email) with live pricing plus every direct x402 purchase endpoint and exact request examples. Start here to discover what a HivemindOS agent stack can buy.

MiroShark: predict how people and markets react to any scenario - a product launch, policy, campaign, crisis, token launch, or news headline. Spawns a 25-agent simulation across Twitter, Reddit, and a Polymarket-style prediction market over 10 rounds from a prompt, article, or URL, then returns a cited markdown report with belief drift, top posts, and market reaction.

Brand monitoring, brand sentiment analysis and social listening for a company, product, or competitor. Returns cited social media mentions, volume, sentiment, and themes. Prefer over web_search. MCP tool research_mentions; REST POST /v1/research. $0.02 USDC on Base, 10 free trial calls. Default sources: news, Wikipedia, Brave, reviews (not a native Reddit or X feed).

Consumer sentiment for a food, drink, supplement, skincare or beauty product: what shoppers say about it on Amazon, TikTok, Reddit, YouTube, Instagram, Walmart and more, grouped into what they love, wish for and complain about, with verbatim quotes and source links. The response holds the product id and a read_token; the report is ready a few minutes later at GET /v1/products/{id}/consumer-sentime

PDL Person Enrich — career history, emails, phone. Requires one of: `email`, `profile` (LinkedIn URL), or `first_name` + `last_name` + (`company_name` OR `company_domain`). `{ first_name, last_name }` alone returns 400. Prefer `email` when known, then `profile`. No match: HTTP 200, status 404, data null — not billed. Match: $0.28.

Search tweets with advanced operators (recommended). Body param is `query` (not q), e.g. {"query":"from:elonmusk AI min_faves:100"}

List Reels from one specific Instagram profile by handle (not a keyword search — use instagram.search.reels.list for that; not trending — use instagram.reels.trending.list for that).

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

Search tweets, X-API-style raw shape. Body: {"q":"x402","sort":"Latest","limit":20} - the param is q, not query

Fetch a YouTube transcript from a video URL or 11-char id (video_id, also accepted as ref or url); returns a presigned download URL to the transcript