FAQs
Stream AI aims to revolutionize data provisioning for AI through decentralized web scraping, providing high-quality, diverse, and structured data at an unprecedented scale and efficiency.
Stream AI distributes scraping tasks across a vast network of smart devices, offering superior scalability, geographical diversity, and cost-effectiveness compared to centralized methods.
Key components include Edge Nodes, Gateway Nodes, Validators, AI Scraper Agent, ZK Processor, and the AI Data Agent, all working together to create a robust data provisioning network.
Stream AI employs a Validator Network, AI-powered Reputation System, ZK Processor for data provenance, and focuses on ethical data collection practices to ensure high-quality, reliable data.
Edge Nodes are smart devices running the Stream AI app, contributing spare resources to execute scraping tasks and perform initial data processing at the network’s edge.
Stream AI implements anonymized contributions, encrypted data transfer, adherence to robots.txt files, and focuses on publicly available data to protect privacy and ensure ethical practices.
The $STREAM token facilitates reward distribution, governance participation, access rights to the Data Registry, and allows staking for running Validator or Gateway Nodes.
The reward mechanism includes performance-based rewards, an AI-powered reputation system, geographical bonuses, and long-term incentives to encourage high-quality contributions and network participation.
Stream AI’s data can benefit various AI applications, including natural language processing, computer vision, predictive analytics, and real-time data analytics across multiple industries.
Stream AI’s tier system uses water-themed progression, from spring to galaxy, symbolizing user growth. It represents how influence expands from small, local impacts to vast, far-reaching effects in the community.
Stream AI focuses on publicly available data, implements strong privacy measures, and collaborates with legal experts to ensure compliance with various data protection regulations.
Stream AI employs advanced cryptographic techniques, strict node verification processes, and regular security audits to protect against malicious actors and ensure data integrity.
Stream AI aims to scale by continuously optimizing its protocol, implementing sharding techniques, and exploring layer-2 scaling solutions to maintain performance as the network grows.
The Data Registry is a comprehensive repository of curated, parsed, structured data optimized for AI consumption, forming the foundation of a modular AI stack for developers.
The AI Scraper Agent transforms Edge Nodes into powerful data processing hubs, executing complex web research tasks quickly and adapting to anti-bot measures.
Validator Nodes are responsible for verifying the integrity and quality of collected data, maintaining the overall health and reliability of the network.
The mobile-first approach leverages the vast potential of smart devices, expanding network coverage and enhancing geographical diversity in data collection.
Stream AI enables real-time applications in market intelligence, news and media monitoring, and academic research by providing up-to-date data on various topics and trends.
Stream AI offers diverse datasets for bias detection, provides audit trails through cryptographic proofs, and supports compliance with data protection regulations and ethical AI guidelines.
The roadmap includes Phase I: Network Establishment and Growth, Phase II: Enhanced Data Collection and Marketplace Development, and Phase III: Blockchain Integration and Ecosystem Expansion.
Stream AI plans to develop Stream Chain in the long term, a dedicated blockchain infrastructure optimized for large-volume data transfer and storage, and integrate advanced privacy-preserving technologies.