Data Universe OpenClaw Skills

Fetch real-time social media data from X (Twitter) and Reddit by keyword, username, date range, and filters with engagement metrics via Macrocosmos SN13 API on Bittensor.

Fetch real-time social media data from X (Twitter) and Reddit by keyword, username, date range, and filters with engagement metrics via Macrocosmos SN13 API on Bittensor.

Link to the ClawHub: https://clawhub.ai/Arrmlet/social-data

Tips & Known Behaviors

What works reliably

• High-volume keyword searches: Popular terms like "bittensor", "AI", "iran", "lfg" return fast

• Wider date ranges: Setting start_date further back (e.g., weeks/months) improves results

• keyword_mode: "all": Great for finding intersection of two topics (e.g., "chutes" AND "bittensor")

What can be flaky

• Username-only queries: Can timeout (DEADLINE_EXCEEDED). Adding start_date far back helps

• Niche/low-volume keywords: Very specific terms may timeout if miners don't have data indexed

• No start_date: Defaults to last 24h which can miss data; set explicitly for best results

Best practices for LLM agents

1. Always set start_date — don't rely on the 24h default. Use at least 7 days back for user queries

2. Prefer keywords over usernames — keyword searches are more reliable

3. For username queries, always include start_date set weeks/months back

4. Use keyword_mode: "all" when combining a topic with a subtopic (e.g., "bittensor" + "chutes")

5. Handle timeouts gracefully — if a query times out, retry with broader date range or switch to keyword search

6. Parse engagement metrics — view_count, like_count, retweet_count help rank relevance

7. Check is_reply and is_quote — filter for original tweets vs replies depending on use case