Subnet 17

Market Compass utilizes Commune AI, specifically Subnet 17, to gather real-time data from X (Twitter) at scale. Here's how the subnet operates:

1. Query Creation:

   • Queries are created to access the X (Twitter) API, targeting market-related topics.

2. Query Distribution:

   • Miners within Subnet 17 receive a unique query to perform every minute, just before each voting cycle begins.

3. Query Validation:

   • Miners return updates for all queries, ensuring that the data collected is fresh and relevant.

   • Trust is placed in miners by default, assuming they provide accurate and valid data.

4. Backend Verification:

   • An undisclosed endpoint in our backend verifies random queries with timestamps provided by miners.

   • If the response differs from the expected data, the miner is blacklisted, ensuring data integrity.

5. New Miner Validation:

   • New miners undergo validation checks upon their first request to ensure data accuracy and reliability.

6. Scoring System:

   • The scoring system rewards miners for providing valid data, with emission distributed evenly among valid miners.

   • This approach builds a resource base necessary for future development and expansion.