TL;DR:
- AgentProof creates onchain reputation scores for AI agents across 21+ chains
- Enables vetting and risk assessment for agents in finance and insurance
- Processes every trust check and score update fully onchain
- Uses SKALE for zero gas, scalable trust infrastructure, and privacy
AI agents are beginning to act independently, making decisions that carry real financial and operational consequences. Yet one fundamental question remains unanswered: who can you trust? In a world where autonomous systems operate without accountability, the absence of verifiable reputation becomes a systemic risk. AgentProof introduces a solution, a transparent, onchain trust layer for AI agents, and today, SKALE is pleased to announce that AgentProof is live on the network.
AgentProof is an onchain reputation protocol designed to track, rate, and verify the performance of autonomous AI agents.
Built on ERC-8004, AgentProof aggregates real activity across blockchain ecosystems and converts it into transparent trust scores. These scores reflect how agents behave over time, enabling anyone to evaluate reliability before interacting with them.
The protocol operates across more than 21 chains, indexing agent activity and transforming it into standardized, verifiable reputation data. Every interaction, screening, and score update is recorded onchain, creating a tamper-resistant history of agent behavior.
Key capabilities include:
- Onchain reputation scores for AI agents
- Cross-chain activity indexing and analysis
- Transparent screening and verification systems
- Standardized trust metrics for the agentic economy
To date, AgentProof has already demonstrated meaningful traction:
- 150,900+ agents scored
- 307,200+ screenings performed
- 21 chains indexed
- 43.8 out of 100 average trust score across the network
This positions AgentProof as a foundational layer for evaluating and understanding AI agents at scale.
As AI agents move from experimentation into production environments, trust becomes a critical requirement.
In sectors like insurance and financial services, organizations cannot rely on black-box systems. They need verifiable data to assess risk, ensure compliance, and make informed decisions about deploying or interacting with autonomous agents.
AgentProof addresses this directly by enabling:
- Pre-deployment vetting of AI agents
- Continuous performance tracking
- Risk assessment based on real historical behavior
- Standardized trust scoring for enterprise use
The primary audience reflects this need. AgentProof is designed for:
- Insurance companies underwriting agent-driven systems
- Financial institutions integrating AI into operations
- Enterprises scaling agent usage across workflows
By transforming fragmented activity into structured, verifiable trust scores, AgentProof makes it possible to treat AI agents as accountable participants in the economy rather than opaque tools.
AgentProof’s model depends entirely on high-frequency, onchain activity.
Every trust check, feedback submission, and score update is an onchain operation. On traditional blockchains, this creates a direct cost problem where usage scales linearly with gas fees.
SKALE changes that equation completely.
With SKALE’s Programmable Privacy, AgentProof can ensure sensitive agent data and evaluation logic remain protected while still being verifiable onchain. This is critical when dealing with enterprise-grade use cases where confidentiality and auditability must coexist.
Zero gas fees allow AgentProof to record every meaningful interaction without compromise. Instead of deciding what is “worth” putting onchain, the protocol can capture the full dataset, resulting in more accurate and reliable trust scores.
Instant finality ensures that trust data is updated and available in real time. This is essential for environments where decisions about agents must be made quickly and based on the latest information.
Together, these features enable:
- Fully onchain reputation systems without cost constraints
- Real-time trust updates and scoring
- Privacy-preserving evaluation mechanisms
- Scalable infrastructure for millions of agent interactions
The impact is not incremental. It fundamentally changes how trust systems can be designed.
“We have built a trust layer for the agentic economy. Using SKALE, gasless means we can put everything on-chain that should be on-chain, instead of making compromises about what's worth the gas.” - Ben Horne, Founder of AgentProof
AgentProof is laying the groundwork for a standardized trust layer in the emerging agentic economy.
As more organizations deploy AI agents into critical workflows, the demand for verifiable reputation systems will continue to grow. AgentProof is positioned to become a core infrastructure layer supporting this shift.
Future expansion will likely focus on:
- Increasing the number of indexed chains and agents
- Enhancing scoring models with more granular data inputs
- Deepening integrations with enterprise platforms
- Expanding use cases in insurance and financial services
The long-term vision is clear. AI agents will not just operate independently, they will need to prove their reliability continuously. AgentProof provides the system to make that possible.
- Website: https://agentproof.sh/
- X (Twitter): https://x.com/Agentproof_sh
