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Set AI agent budgets, enforce spend limits, and audit every decision.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.figuard/figuard-mcp" MCP server from askskill: Run: claude mcp add 'io-github-figuard-figuard-mcp' -- npx -y figuard-mcp
Configure pre-spend authorization for my AI agent: cap each call at $0.50 and the daily total at $20; block execution when thresholds are exceeded, record the reason, and suggest an audit log schema.
A set of budget rules, over-limit blocking logic, and an audit log design that tracks every decision.
I have three AI agents for research, coding, and deployment. Set role-based spending limits: auto-approve low-risk research actions, require human approval for coding actions above $5, and require approval for all paid external deployment actions. Explain the policy structure.
Role-based authorization policies, approval conditions, and execution rules suited for a multi-agent setup.
Create an audit plan for AI agent spending that records each tool call's budget, actual cost, approval result, triggered policy, and timeline, and list the key fields to inspect during incident reviews.
A structured audit plan for reviewing agent spend, investigating anomalies, and supporting compliance needs.
Protect AI agents with scans for injections, leaks, risky URLs, and passwords.
Run AI agents in secure microVM sandboxes with network and privacy guardrails.
Add authorization, delegation, provenance, and audit controls to AI agents.
Provide signed, verifiable risk verdicts for every AI-driven payment action.
Securely authorize AI agents to sign up for SaaS dev tools within budget limits.
Scan inbound and outbound emails for prompt injection, phishing, and secret leaks.