Transactions count

Verify and reward users based on the number of transactions they have made on a specific blockchain network.

This task is useful for identifying active users, encouraging on-chain engagement, or rewarding loyal community members.

Before you start

Make sure you have:

  • A quest created within your campaign

  • Knowledge of which blockchain networks your target users are active on

  • A minimum transaction count threshold determined

Create the task

Follow the steps in Web3 tasks to navigate to the task creation screen, select Web3 from the Groups section, and choose Transactions Count.

Task settings

Completion points: Set the number of points awarded when the user completes the task.

Points multiplier (%): Add a percentage-based bonus to the total reward. For example, a 5% multiplier increases the final reward by 5%.

Networks: Select the blockchain network on which you want to track user transactions.

  • Click the first dropdown to choose a network (e.g., Ethereum)

  • Click the second dropdown to select Mainnet or Testnet

  • Click Add network to track transactions across multiple networks

  • Users must meet the minimum count across all selected networks combined

Min Count: Specify the minimum number of transactions a user must have made across all selected networks to be eligible for the task.

Example: If you enter "10", users who have made at least 10 transactions in total across any of the chosen networks will qualify. The count is cumulative across all networks you've added

Time, h (optional): Set a time window in hours for counting transactions. If specified, only transactions made within this time period will count. Leave blank to count all transactions from the wallet's history

Helpful tips

  • Provide clear instructions on how users can check their transaction count on the specified blockchain network

  • Be transparent about why you're tracking transaction count and how it relates to your campaign goals

  • Consider setting different minimum counts for different networks based on typical activity levels

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