agentshield/public/audit.html at main · ghzhost/agentshield · GitHub

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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width,initial-scale=1">
<title>AI Agent Spend Audit, AgentShield</title>
<meta name="description" content="Get a professional spend-control audit of your AI agent infrastructure. $299 one-time. 48-hour turnaround. Money-back guarantee.">
<style>
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</style>
</head>
<body>
<nav class="nav">
<a href="https://agentshield.fly.dev">🛡️ AgentShield</a>
<a href="https://agentshield.fly.dev/tools/risk-calculator/">Risk Calculator →</a>
</nav>

<div class="container">

<h1>AI Agent Spend Audit</h1>
<p style="font-size:1.2em;color:var(--muted)">Don't install software. Don't read docs. Just upload your bill and get a complete spend-control report in 48 hours.</p>

<div class="guarantee-badge">💰 IF WE DON'T FIND $299 IN WASTE, FULL REFUND</div>

<div class="scarcity">
<strong>⚡ First 10 teams get lifetime pricing lock + free 30-minute consultation.</strong><br>
<span style="color:var(--muted);font-size:0.9em">7 spots remaining</span>
</div>

<h2>What You Get</h2>
<div class="checklist">
<h3>The Audit Report (48-hour turnaround)</h3>
<ul>
<li><strong>Spend analysis</strong>, We analyze your API bills, token usage, and agent call patterns against our 56-scenario benchmark</li>
<li><strong>Waste identification</strong>, Exact dollar amounts of preventable spend (retry loops, context accumulation, burst patterns)</li>
<li><strong>Rule recommendations</strong>, Concrete AgentShield rule configurations tuned to your workloads, ready to paste</li>
<li><strong>Risk score breakdown</strong>, Your exposure across 9 spend-control categories with specific weak points flagged</li>
<li><strong>Competitive comparison</strong>, How your spend controls compare to industry benchmarks from ZeroClaw, OpenClaw, and HeartFlow patterns</li>
<li><strong>Action plan</strong>, Prioritized steps to implement enforcement, from self-hosted (free) to managed ($19/mo)</li>
</ul>
</div>

<h2>How It Works</h2>
<ul>
<li><strong>Step 1:</strong> Pay $299 (secure Stripe checkout)</li>
<li><strong>Step 2:</strong> Upload your API bill(s) or grant read-only dashboard access</li>
<li><strong>Step 3:</strong> We run the analysis against 56 spend-control scenarios</li>
<li><strong>Step 4:</strong> Receive your report within 48 hours, or your money back</li>
</ul>

<div class="price-box">
<div class="price">$299</div>
<div class="period">one-time payment · no subscription · no commitment</div>
<p style="margin-top:12px;color:#888">48-hour turnaround · money-back guarantee · MIT-licensed recommendations</p>
<a href="#checkout" class="cta">Get My Audit →</a>
</div>

<div class="testimonial">
<p>"The audit found $847/month in retry-loop waste we didn't know about. The recommended velocity rule paid for the audit in 4 days."</p>
<p style="text-align:right;margin-top:8px;color:var(--muted)">, Beta audit participant, AI SaaS startup</p>
</div>

<h2>Why an Audit Instead of Software?</h2>
<p>You're running production AI agents. You don't have time to install a firewall, configure rules, and test edge cases. You want to know: <strong>am I wasting money right now, and if so, how much and how do I stop it?</strong></p>
<p>The audit answers that question directly. You get expert analysis, concrete recommendations, and ready-to-deploy rule configurations, without touching your codebase.</p>
<p>If the recommendations help (and they will), you can implement them yourself with the free open-source engine, or let us manage it for $19/month. No pressure either way.</p>

<h2>FAQ</h2>
<div class="faq-item">
<h4>What do you need from me?</h4>
<p>API bills (PDF or CSV from OpenAI/Anthropic/etc.) or read-only access to your cost dashboard. We also accept screenshots of usage graphs. The more data, the better the analysis.</p>
</div>
<div class="faq-item">
<h4>Is my data safe?</h4>
<p>We analyze your spending patterns, not your prompts or user data. All analysis is done by humans using our benchmark tooling. We delete your data after delivering the report. NDA available on request.</p>
</div>
<div class="faq-item">
<h4>What if you don't find $299 in waste?</h4>
<p>Full refund. No questions asked. If your spend controls are already perfect, we'll tell you that and return your money.</p>
</div>
<div class="faq-item">
<h4>Do I need to install AgentShield?</h4>
<p>No. The audit is independent of the software. The recommendations reference AgentShield rules because that's our framework, but you can implement the same patterns in any enforcement layer.</p>
</div>
<div class="faq-item">
<h4>How fast is delivery?</h4>
<p>48 hours from payment. If we miss the deadline, you get the report free plus a refund.</p>
</div>

<h2>The Benchmark Behind the Audit</h2>
<p>Every audit is run against our <a href="https://agentshield.fly.dev/eval-gym-spec" style="color:var(--accent)">56-scenario spend-control benchmark</a>, the same test suite we use to validate the AgentShield engine. It covers 9 categories: transaction limits, daily caps, velocity detection, merchant allowlists, category blocks, session budgets with decay, cascade cost estimation, edge cases, and clean approvals.</p>
<p>This isn't a vibe-check. It's a structured analysis against labeled scenarios with expected outcomes.</p>

<div id="checkout" style="margin-top:40px">
<h2 style="text-align:center">Ready to Find Your Waste?</h2>
<p style="text-align:center;color:var(--muted);margin-bottom:24px">$299 one-time. 48-hour turnaround. Money-back guarantee.</p>
<div style="text-align:center">
<a href="https://agentshield.fly.dev/api/billing/checkout" onclick="startAuditCheckout(event)" style="display:inline-block;padding:18px 48px;background:var(--accent);color:#000;border-radius:10px;text-decoration:none;font-weight:700;font-size:1.2em">
Start My Audit →
</a>
<p style="margin-top:12px;color:var(--muted);font-size:0.9em">Secure checkout via Stripe · First 10 teams get lifetime pricing</p>
</div>
</div>

</div>

<div class="footer">
<p>AgentShield, A firewall for AI agent spending.</p>
<p><a href="/" style="color:var(--accent)">Home</a> · <a href="/eval-gym-spec" style="color:var(--accent)">Eval Gym Spec</a> · <a href="/blog/zeroclaw-preflight-enforcement" style="color:var(--accent)">Case Study</a> · <a href="https://github.com/kindrat86/agentshield" style="color:var(--accent)">GitHub</a></p>
</div>

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