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Validate AI agent outputs with deterministic checks, independent review, and tamper-evident receipts.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "agent-gate" yet — see the docs or source repo.
Use agent-gate to review this AI agent task result: run fail-closed deterministic checks first, then perform an independent refute-first review, and generate a hash-chained receipt; if any step fails, do not mark it complete.
Returns pass/fail status, failure reasons, review findings, and a traceable hash-chained receipt.
Integrate agent-gate into my CI/CD automation so that before an AI agent claims deployment completion, it verifies output consistency, checks counterarguments, and records tamper-evident audit receipts.
Produces gated review results so only validated tasks proceed, with attached audit records.
Use agent-gate to generate step-by-step hash-chained receipts for this set of AI agent outputs, and show each check, review opinion, and whether completion can be claimed.
Provides a stepwise audit chain, node statuses, and a final decision for accountability and compliance records.
Connect AI agents to multiple APIs through one unified MCP gateway.
Add policy enforcement, human approval, and audit logs to AI agent tool calls.
Enforce permissions, approvals, sanitization, and audit for AI agent MCP calls.
Gate MCP agent actions through compliance policies before execution.
Scores AI agents for trust, permissions, and silent-failure risk.
Securely lets AI agents access authenticated services without exposing secrets.