Platform Architecture

The architecture of DataCrowd is designed to support a large variety of tasks through a combination of APIs, internal tools, and manual submissions.

Core Components:

• Task Management System: DataCrowd’s AI agents dynamically pull and generate quests from DataCrowd’s task pool. Users who meet a certain threshold of points (indicating advanced engagement levels) are selectively targeted with premium tasks, ensuring optimal task allocation, and improving efficiency and productivity.

• Validation Mechanism: Tasks can undergo a validation process to ensure quality and completion. This process could include algorithm-based automatic checks and community-driven validation, allowing collective oversight.

• Reward Distribution Engine: The platform ensures instant and transparent reward distribution via smart contracts, guaranteeing contributors are paid fairly and promptly.

• Task Types: A wide range of tasks is supported to offer variety for users, as well as numerous vectors of progress for partners. These tasks include but aren’t limited to: - Follows, likes, and comments on social media platforms such as X, Instagram and Facebook - Join tasks in popular community media such as Telegram and Discord - Surveys (including on DataCrowd) - In-app tasks within specific applications - On-chain tasks such as token swaps, staking, and voting, and data annotation (data labelling for LLM training) tasks.

User Roles:

• As Individual Users: Every task comes with a reward, ensuring that there are incentives on an individual level that reward effort that has been carried out.

• As Faction Members: In addition to standard rewards are certain faction-based rewards and seasonal rewards that are tied to individuals’ respective factions and their performance.

Workflow Overview:

• Task Creation: Tasks are created and stored on DataCrowd’s protocol, complete with their respective reward pools and conditions

• Task Assignment: DataCrowd’s AI agents analyze these tasks and form tweets that detail their completion processes, and post them on X for all to see and for faction members to complete

• Task Completion: Faction members can then proceed to complete these tasks by following the instructions. Non-faction members can still see these tweets, but have to sign up in order to become eligible

• Special Tasks: Faction members with high completion rates receive DMs from the AI agents for exclusive opportunities

• Validation: Completed tasks are tracked and validated through APIs and internal tools where applicable

• Reward Distribution: Contributors receive rewards through an automated process. Faction-based and seasonal rewards are distributed at the end of each season.

• Dashboard: Progress and rewards can be tracked by users through a simple and easy-to-use dashboard. Here, users can see active tasks, points earned, points per faction (live leaderboard), and claimed rewards history.