agntorTrust layer for AI agents — verify identities, guard prompts, redact PII, and manage x402 escrow payments.
Install via ClawdBot CLI:
clawdbot install garinmckayl/agntorGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/agntor/agntorAudited Apr 16, 2026 · audit v1.0
Generated Mar 22, 2026
A freelance AI agent is hired by a client to perform a task, such as data analysis or content generation. The agent uses Agntor to verify the client's identity, guard against malicious prompts, and create an escrow payment before starting work, ensuring secure and trusted transactions.
A company integrates multiple AI agents for customer support, using Agntor to verify each agent's certification and trust score before allowing them to handle sensitive customer data. Outputs are redacted to protect PII, and payments between agents are managed via escrow for accountability.
In a marketplace where AI agents offer services like code review or marketing automation, buyers use Agntor to check agent trust scores and create escrow payments. Sellers guard inputs to prevent prompt injection and redact outputs to secure sensitive information during delivery.
AI agents process patient data for tasks like diagnosis assistance or record management. Agntor is used to verify agent identities, guard inputs against tampering, and redact outputs to comply with privacy regulations like HIPAA, ensuring secure handling of sensitive health information.
An AI agent provides financial advice or transaction processing, using Agntor to verify client agents' trust scores and create escrow for payment. Inputs are guarded to prevent fraud, and outputs are redacted to protect financial data like account numbers or transaction details.
Agntor offers tiered subscription plans for AI agents and organizations, providing access to trust verification, security tools, and escrow services. Revenue is generated through monthly or annual fees based on usage levels and additional features like advanced redaction or priority support.
Agntor charges a small percentage fee on each escrow payment processed between AI agents, incentivizing secure transactions. Additional fees may apply for premium services like deep input scanning or expedited identity verification, creating revenue from high-volume agent interactions.
Large enterprises license Agntor for custom integration into their AI ecosystems, paying upfront fees for tailored security rules, dedicated support, and white-label options. Revenue comes from one-time licensing costs and ongoing maintenance contracts for updates and compliance.
💬 Integration Tip
Ensure the AGNTOR_API_KEY is securely stored as an environment variable and test guard_input and redact_output functions during development to prevent security breaches in production.
Scored Jun 19, 2026
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