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Alternatives to Sentinel

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    Related Servers

    • A
      license
      Not graded
      quality
      D
      maintenance
      AgentPay is the authorization layer between an AI agent and real spending. You define the rules — spending caps, allowed merchants, time windows — and every purchase attempt the agent makes is checked against them in real time. Approved transactions go through. Anything outside the mandate is blocked and logged. No more babysitting every agent action. No more runaway charges.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to use payment APIs safely by gating every tool call through deterministic mandates, value checks, and an exactly-once ledger, so they cannot pay twice or exceed authorisation.
      12 npm
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Enables AI agents to make payments with strict spending limits enforced by signed mandates, preventing unauthorized fund movement beyond predefined caps and allowlists.
      4
      7 npm
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Provides a three-layer payment firewall for AI agents, enabling identity verification, risk screening, and execution authorization with on-chain policy enforcement for secure and auditable transactions.
      213 npm
      2
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      A 7-layer security system for AI agents that detects and blocks prompt injection, data exfiltration, and malicious tool calls. It enables real-time scanning of inputs, outputs, and tool definitions to protect agentic workflows from emerging AI-specific threats.
      1
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Security layer for AI agents that evaluates transaction intents and returns verdicts (ALLOW/WARN/DENY) using deterministic rules, on-chain checks, and simulation.
      6 npm
      MIT