Brand monitoring on Reddit and X

You give it a brand name; your agent searches Reddit comments and posts for mentions, watches the brand's subreddit, and sweeps X, once or on a daily schedule. The recipe below runs in Claude, n8n, or your own code on Veezee's search tools.

Recipe#

1. No signup: mint a free key (POST /v1/keys/mint, no body) and call every step below under a shared budget of 200 credits per IP per day. Running this daily needs more than that; buy a key at /upgrade first, checkout credits the same key.
2. reddit_search with type: "comments": run a few narrow queries for the brand name and its common nicknames or misspellings. There is no server-side time window on comment search, so filter results on created_at yourself. Cost: 6 credits per query page.
3. reddit_get_subreddit_posts with sort: "new": poll the brand's home community (or its category subreddit) for new posts. Cost: 4 credits per page.
4. x_search with type: "recent": sweep X for the same brand terms, the deep chronological mode. Cost: 6 credits per page.
5. get_usage: free, exempt from the rate limit, once you have a key. Check balance before a scheduled run.

Total cost#

A daily sweep of 3 comment searches, 1 subreddit poll, and 1 X sweep: 28 credits/day.

Limits worth knowing#

• Comment search has no time-window parameter; filter on created_at client-side and re-poll with sort: "new" for fresh mentions.
• Reddit's discover depth caps around a few hundred results per query; several narrow queries beat one broad one.
• Cached search results refresh on a 20-minute cycle: polling faster than that replays the same page.
• X search paginates as far as you follow the cursor, so a deep sweep costs linearly in pages; budget for that before running one.

Run it#

Platform docs: /docs/reddit and /docs/x. Full reference: /docs.

Installable skill: the reddit-monitoring pack teaches your agent this whole job. Install every pack with npx skills add veezeehq/veezee-skills (/docs/skills).