Bless Network Integrates Space and Time for Trusted AI Agents

Coin WorldWednesday, Jul 16, 2025 1:12 pm ET
1min read
Aime RobotAime Summary

- Bless Network partners with Space and Time to deploy autonomous AI agents using zero-knowledge proofs, ensuring tamper-proof data verification for decentralized applications.

- Agents access verified data feeds (market prices, traffic patterns) via user devices, eliminating reliance on centralized servers while maintaining sub-second response times.

- The integration enables fair data compensation via on-chain protocols, fostering equitable economic models where creators are paid transparently for verified data use.

- Technical implementation uses 150k gas on Ethereum, leveraging Bless's 5M distributed nodes for real-time applications and developer-ready tools.

Bless Network, a pioneering shared computer with over 5 million live nodes, has announced its integration with Space and Time (SXT), a zero-knowledge-proven SQL database platform. This partnership aims to deploy autonomous AI agents that can cryptographically prove their decision-making processes using tamper-proof data, addressing critical trust issues in decentralized AI applications.

The integration tackles a fundamental challenge in AI deployment: verifying that autonomous agents are making decisions based on accurate, unmanipulated data. Traditional AI systems rely on centralized data sources and cloud providers, creating single points of failure and trust dependencies. Through Space and Time's zero-knowledge proof technology, AI agents running on Bless's edge network can access verifiable data feeds, including real-time market prices, weather forecasts, and cross-chain activity, with cryptographic guarantees that the information hasn't been tampered with. This creates provably honest AI agents that operate without requiring trust in centralized intermediaries.

The partnership enables AI agents for infrastructure applications where trust and transparency are essential. Examples include agents that optimize EV charging prices using verified energy grid data, manage public transit routing based on proven traffic patterns, or execute DeFi trades using cryptographically verified market information. Unlike traditional cloud-based AI deployments, these agents run directly on user devices through Bless's browser extension, eliminating dependence on centralized servers while maintaining sub-second response times.

This integration addresses broader questions about data ownership and compensation in the AI economy. Current web crawlers extract content without consent or compensation, creating an extractive model that benefits only large technology companies. The Bless-SXT architecture enables AI agents to negotiate data access through on-chain protocols, potentially compensating content creators while maintaining transparency through verifiable proof systems. This approach could establish new economic models where data providers receive fair compensation while preserving open access for verified users.

Technically, Space and Time's validators cryptographically sign data commitments before recording them on-chain, while Prover nodes generate zero-knowledge proofs that ensure results are accurate. This process requires only 150,000 gas to verify on Ethereum, making it economically viable for real-time applications. The integration leverages Bless's existing infrastructure of 5 million nodes spread across consumer devices, creating geographically distributed compute resources that can access Space and Time's verified data feeds. Developers can begin building applications immediately using Space and Time's ZKpay query relayer contracts and Bless's developer platform.

The partnership represents convergence between decentralized physical infrastructure (DePIN) and zero-knowledge proofs, potentially challenging traditional cloud computing models dominated by centralized providers. This collaboration could redefine internet economics by enabling verifiable compute, ensuring data integrity, and fostering a more equitable data economy.

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