Social media, displayed for agents

Search social media like Google, then let your agent rank, summarize, and act on the results.

OpenAI Anthropic Cursor GitHub Vercel
Search

One query fans out across the places people talk.

Pick the sources that matter, set the recency window, and run a fast or deep search that ranks intent.

Sources Selectable before search
Redditthreads
Xposts
Threadsposts
LinkedInposts
YouTubecomments
TikTokcomments
Score

Rank posts by how close they are to the query.

Results are scored for match quality and recency, so an agent can start with the strongest signals instead of sorting raw social noise.

Match scoring 0.00 to 1.00
Need an app that plans meals and builds my grocery list r/MealPrepSunday
0.94
someone please build a meal planner that works for two people @sarahbuilds
0.88
What do you use for weekly meal planning with dietary restrictions? r/Cooking
0.71
Return

Send clean output wherever your agent works.

Use the API directly, export CSV for a workflow, or call Gorilla through MCP inside tools like Claude, Cursor, Codex, and Cline.

Output JSONCSVMCP 
{
  "query": "people interested in AI tools for meal planning",
  "results": [
    {
      "source": "reddit",
      "title": "Need an app that plans meals and builds my grocery list",
      "url": "https://reddit.com/r/MealPrepSunday/...",
      "score": 0.94,
      "posted_at": "2026-05-24T10:14:00Z"
    }
  ]
}

Run one search and hand the results to your agent.

Search across social channels, rank intent, and send structured results to your agent.

Dashboard Read docs