Fetch posts from a specific subreddit sorted by hot, new, top, or rising.

Use this to monitor target communities for recent discussions, pain points, and engagement opportunities.

Args:

• subreddit (string): Subreddit name without r/ prefix (e.g., "nursing", "instructionaldesign")

• sort (string): Sort order — "hot", "new", "top", "rising" (default: "hot")

• time (string): Time filter for "top" sort — "hour", "day", "week", "month", "year", "all" (default: "week")

• limit (number): Number of posts (1-100, default: 25)

• response_format (string): "markdown" or "json" (default: "markdown")

Returns: List of posts with titles, scores, comment counts, permalinks, and text previews.

Search Reddit posts by keyword, optionally limited to a specific subreddit.

Use this to find discussions about specific topics, pain points, competitors, or industry signals across target communities.

Args:

• query (string): Search terms (e.g., "compliance training outdated", "LMS video content")

• subreddit (string, optional): Limit to one subreddit (e.g., "nursing"). Omit for all of Reddit.

• sort (string): Sort by "relevance", "new", "hot", "top", "comments" (default: "relevance")

• time (string): Time filter — "hour", "day", "week", "month", "year", "all" (default: "week")

• limit (number): Max results 1-100 (default: 25)

• response_format (string): "markdown" or "json" (default: "markdown")

Returns: Matching posts with titles, scores, comment counts, permalinks, and text previews.

Fetch top-level comments from a specific Reddit post.

Use this to read the full discussion in a thread — understand community sentiment, find buyer language, or identify engagement opportunities.

Args:

• subreddit (string): Subreddit name without r/ prefix

• post_id (string): Post ID from the URL (e.g., for reddit.com/r/nursing/comments/1j8k3f2/..., the ID is "1j8k3f2")

• sort (string): "best", "top", "new", "controversial", "old" (default: "best")

• limit (number): Top-level comments to return, 1-50 (default: 20)

• response_format (string): "markdown" or "json" (default: "markdown")

Returns: Top-level comments with author, score, body text, and timestamps.

Scan multiple subreddits for posts matching specific keywords. Returns only posts whose title or body contain at least one keyword.

This is the primary tool for weekly Reddit intelligence digests — it scans target communities and filters for relevant discussions.

Args:

• subreddits (string[]): List of subreddits to scan (e.g., ["nursing", "instructionaldesign", "humanresources"])

• keywords (string[]): Keywords to match in post titles/body (e.g., ["compliance", "training", "onboarding", "policy", "video"])

• time (string): Time window — "hour", "day", "week", "month" (default: "week")

• limit_per_sub (number): Posts to fetch per subreddit, 5-100 (default: 50)

• response_format (string): "markdown" or "json" (default: "markdown")

Returns: Filtered, keyword-matched posts grouped by subreddit with scores, comment counts, and links.