import Link from 'next/link';
import RoiCta from '../../components/RoiCta';
import { ArrowLeft, Calendar, Clock } from 'lucide-react';

export const metadata = {
  title: "API Gateway for AI Agents: Control Tool and API Access",
  description: "Learn how AI agent gateways enforce authority before execution with Observe/Control/Prove, budgets, MCP governance, and Evidence Packs.",
  alternates: { canonical: 'https://satgate.io/blog/api-gateway-for-ai-agents' },
  keywords: ['API gateway for AI agents', 'AI agent gateway', 'API gateway comparison', 'agent economy gateway', 'AI API management', 'economic firewall gateway'],
  openGraph: {
    title: 'API Gateway for AI Agents: Budgets, MCP, and Tool Costs',
    description: 'Agent-aware API gateways need Observe/Control/Prove, budgets, MCP tool controls, scoped tokens, revocation, and Evidence Packs.',
    url: 'https://satgate.io/blog/api-gateway-for-ai-agents',
    type: 'article',
    publishedTime: '2026-03-12T00:00:00Z',
  },
  twitter: {
    card: 'summary_large_image',
    title: 'API Gateway for AI Agents: Budgets, MCP, and Tool Costs',
    description: 'Traditional gateways route traffic. AI agent gateways must observe, control, and prove authority, MCP tool scope, revocation, and paid-rail context.',
  },
};

export default function ApiGatewayForAiAgentsBlogPage() {
  const articleJsonLd = {
    '@context': 'https://schema.org',
    '@type': 'TechArticle',
    headline: 'API Gateway for AI Agents: Control Tool and API Access',
    description: metadata.description,
    author: { '@type': 'Organization', name: 'SatGate' },
    publisher: { '@type': 'Organization', name: 'SatGate', url: 'https://satgate.io' },
    datePublished: '2026-03-12',
    dateModified: '2026-05-04',
    mainEntityOfPage: 'https://satgate.io/blog/api-gateway-for-ai-agents',
    about: [
      { '@type': 'Thing', name: 'API gateway for AI agents' },
      { '@type': 'Thing', name: 'agent-aware budget enforcement' },
      { '@type': 'Thing', name: 'MCP tool cost control' },
      { '@type': 'Thing', name: 'scoped capability tokens for APIs' },
      { '@type': 'Thing', name: 'rail-neutral paid-rail governance' },
      { '@type': 'Thing', name: 'Observe Control Charge' },
      { '@type': 'Thing', name: 'Evidence Packs' },
    ],
  };

  const faqSchema = {
    '@context': 'https://schema.org',
    '@type': 'FAQPage',
    mainEntity: [
      {
        '@type': 'Question',
        name: 'What is an API gateway for AI agents?',
        acceptedAnswer: {
          '@type': 'Answer',
          text: 'An API gateway for AI agents sits between autonomous agents and upstream APIs, models, or MCP tools. Unlike a traditional gateway, it must enforce budgets, verify scoped capability tokens, attribute spend, support delegation, and return structured errors before expensive calls execute.',
        },
      },
      {
        '@type': 'Question',
        name: 'Why are traditional API gateways not enough for AI agents?',
        acceptedAnswer: {
          '@type': 'Answer',
          text: 'Traditional API gateways are built around authentication, routing, and rate limits. AI agents need economic controls because one request may have a very different cost from another, agents can retry or chain calls autonomously, and delegated sub-agents need scoped authority and shared budget attribution.',
        },
      },
      {
        '@type': 'Question',
        name: 'What should an agent-aware API gateway enforce?',
        acceptedAnswer: {
          '@type': 'Answer',
          text: 'An agent-aware gateway should enforce per-agent and per-tool budgets, atomic spend checks, scoped and revocable capability tokens, delegation-chain attribution, economic Evidence Packs, and optional paid-rail context for paid agents.',
        },
      },
      {
        '@type': 'Question',
        name: 'Can an AI agent API gateway work with existing gateways like Kong or Apigee?',
        acceptedAnswer: {
          '@type': 'Answer',
          text: 'Yes. An AI agent API gateway can sit in front of, behind, or alongside existing gateways like Kong, Apigee, Tyk, or Cloudflare. The existing gateway can keep routing traffic while the agent-aware layer enforces budgets, tool scope, delegation, and payment policy.',
        },
      },
    ],
  };

  return (
    <div className="min-h-screen bg-black text-gray-100 font-sans">
      <script
        type="application/ld+json"
        dangerouslySetInnerHTML={{ __html: JSON.stringify(articleJsonLd) }}
      />
      <script
        type="application/ld+json"
        dangerouslySetInnerHTML={{ __html: JSON.stringify(faqSchema) }}
      />
      <div className="max-w-3xl mx-auto px-6 py-16">
        <Link href="/blog" className="text-gray-500 hover:text-white flex items-center gap-2 transition mb-8">
          <ArrowLeft size={18} /> Back to Blog
        </Link>
        
        <header className="mb-12">
          <div className="flex flex-wrap gap-2 mb-4">
            <span className="px-2 py-1 rounded-full bg-purple-900/30 border border-purple-500/30 text-purple-300 text-xs font-mono">Gateway</span>
            <span className="px-2 py-1 rounded-full bg-cyan-900/30 border border-cyan-500/30 text-cyan-300 text-xs font-mono">AI Agents</span>
            <span className="px-2 py-1 rounded-full bg-yellow-900/30 border border-yellow-500/30 text-yellow-300 text-xs font-mono">Architecture</span>
          </div>
          
          <h1 className="text-4xl font-bold mb-4">API Gateway for AI Agents: Budgets, MCP Tools, and Economic Control</h1>
          <div className="mb-6 rounded-2xl border border-cyan-900/60 bg-cyan-950/20 p-5">
            <p className="mb-2 text-sm font-semibold uppercase tracking-[0.2em] text-cyan-300">Search answer</p>
            <p className="text-gray-300">An API gateway for AI agents must do more than authenticate and route. It needs Observe/Control/Prove: request-path authority checks, agent-scoped capability tokens, MCP governance, revocation, paid-rail context, and Evidence Packs.</p>
          </div>
          
          <p className="text-xl text-gray-400 mb-6 italic">
            Kong, Solo.io, and Gravitee were built for humans clicking buttons. Autonomous agents need something fundamentally different.
          </p>
          
          <div className="flex items-center gap-4 text-sm text-gray-500">
            <span className="flex items-center gap-1"><Calendar size={14} /> March 12, 2026</span>
            <span className="flex items-center gap-1"><Clock size={14} /> 10 min read</span>
          </div>
        </header>

        <article className="prose prose-invert prose-lg max-w-none">
          
          <p className="text-gray-300 text-lg leading-relaxed">
            Every enterprise has an API gateway. Kong, Envoy, Gravitee, Solo.io's Gloo — they sit at the edge and handle authentication, rate limiting, routing, and observability. They've done this well for a decade.
          </p>

          <p className="text-gray-300 leading-relaxed">
            But something changed. Your API consumers aren't just mobile apps and microservices anymore. They're autonomous AI agents — and they behave nothing like the traffic patterns these gateways were designed for.
          </p>

          <h2 className="text-2xl font-bold text-white mt-12 mb-4">The Old Model: Human-Driven API Traffic</h2>
          
          <p className="text-gray-300 leading-relaxed">
            Traditional API gateways assume a predictable interaction model:
          </p>

          <ul className="text-gray-300 space-y-2">
            <li>A <strong className="text-white">human</strong> initiates a request (click, form submit, page load)</li>
            <li>The request follows a <strong className="text-white">known pattern</strong> (GET /users, POST /orders)</li>
            <li>Traffic volume is <strong className="text-white">bounded</strong> by human attention spans</li>
            <li>Costs are <strong className="text-white">predictable</strong> because usage is predictable</li>
          </ul>

          <p className="text-gray-300 leading-relaxed">
            Rate limiting at 1,000 requests per minute works because no human team generates more than that organically. The gateway's job is simple: authenticate the caller, check the rate limit, route to the backend.
          </p>

          <h2 className="text-2xl font-bold text-white mt-12 mb-4">The New Model: Autonomous Agent Traffic</h2>
          
          <p className="text-gray-300 leading-relaxed">
            AI agents break every assumption traditional gateways rely on:
          </p>

          <h3 className="text-xl font-bold text-white mt-8 mb-3">1. Agents Don't Stop</h3>
          <p className="text-gray-300 leading-relaxed">
            A human gives up after a few retries. An agent with a goal will keep calling your API until it succeeds or exhausts its context window. Rate limiting an agent doesn't throttle it — it just makes it patient. The agent retries. With exponential backoff. Forever.
          </p>

          <h3 className="text-xl font-bold text-white mt-8 mb-3">2. Agents Chain Calls Unpredictably</h3>
          <p className="text-gray-300 leading-relaxed">
            Ask a research agent to "analyze competitors in the fintech space." It might make 5 API calls. Or 500. The agent decides at runtime based on what it finds. No rate limit anticipates this because the call volume isn't a function of traffic — it's a function of <em>reasoning</em>.
          </p>

          <h3 className="text-xl font-bold text-white mt-8 mb-3">3. Not All Calls Cost the Same</h3>
          <p className="text-gray-300 leading-relaxed">
            A GET request to a cache costs fractions of a cent. A call that triggers GPT-4 inference costs dollars. Traditional gateways count requests. They don't understand that one request can cost 1,000x more than another.
          </p>

          <h3 className="text-xl font-bold text-white mt-8 mb-3">4. Delegation Creates Trust Chains</h3>
          <p className="text-gray-300 leading-relaxed">
            When Agent A delegates a subtask to Agent B, who delegates to Agent C, your gateway sees three different callers. But the budget should come from Agent A's allocation. API keys can't express "I'm acting on behalf of someone else, and their budget applies."
          </p>

          <h2 className="text-2xl font-bold text-white mt-12 mb-4">What Traditional Gateways Actually Do</h2>
          
          <p className="text-gray-300 leading-relaxed">
            Let's be specific about what you get from a modern API gateway like Solo.io Gloo or Gravitee:
          </p>

          <div className="overflow-x-auto my-6">
            <pre className="bg-gray-900/70 border border-gray-800 rounded-lg p-4 text-sm">
              <code className="text-green-300">{`Feature               Traditional Gateway    Agent-Aware Gateway
─────────────────────────────────────────────────────────────────
Authentication        API keys, OAuth         Macaroon tokens (attenuated)
Rate Limiting         RPM/RPS                 Budget (dollar-denominated)
Cost Tracking         None (just counters)    Per-call cost attribution
Delegation            N/A                     Cryptographic trust chains
Spend Enforcement     N/A                     Real-time budget hard caps
Evidence Pack           Request logs            Economic audit (who spent what)
Monetization          Subscription tiers      Per-call micropayments (L402)`}</code>
            </pre>
          </div>

          <p className="text-gray-300 leading-relaxed">
            The gap isn't in routing, load balancing, or TLS termination. Every gateway handles that. The gap is in <strong className="text-white">economic awareness</strong> — understanding that API calls have variable costs, that agents need budgets (not rate limits), and that delegation requires cryptographic trust chains.
          </p>

          <h2 className="text-2xl font-bold text-white mt-12 mb-4">The Missing Layer: Request-Path Governance</h2>
          
          <p className="text-gray-300 leading-relaxed">
            An API gateway for AI agents needs three capabilities that traditional gateways lack entirely:
          </p>

          <h3 className="text-xl font-bold text-white mt-8 mb-3">Budget Enforcement (Not Rate Limiting)</h3>
          <p className="text-gray-300 leading-relaxed">
            Instead of "1,000 requests per minute," you need "$50 per agent per day." The gateway must know the cost of each API call and decrement a budget in real time. When the budget hits zero, the agent gets a structured error — not a 429, but a budget exhaustion response it can reason about.
          </p>

          <pre className="bg-gray-900/70 border border-gray-800 rounded-lg p-4 overflow-x-auto text-sm my-6">
            <code className="text-cyan-300">{`# SatGate budget enforcement - YAML config
agents:
  research-bot:
    budget:
      daily: 5000    # 5000 credits ($50)
      per_call:
        web_search: 5
        gpt4_analyze: 50
        dalle_generate: 100`}</code>
          </pre>

          <h3 className="text-xl font-bold text-white mt-8 mb-3">Capability-Based Authentication (Not API Keys)</h3>
          <p className="text-gray-300 leading-relaxed">
            API keys are all-or-nothing. A key either works or it doesn't. Macaroon tokens — the authentication primitive SatGate uses — support <strong className="text-white">attenuated delegation</strong>. You can take a token and add restrictions before passing it to another agent:
          </p>

          <pre className="bg-gray-900/70 border border-gray-800 rounded-lg p-4 overflow-x-auto text-sm my-6">
            <code className="text-purple-300">{`# Parent agent mints a delegated token
satgate mint \\
  --from parent-token \\
  --add-caveat "budget <= 500" \\
  --add-caveat "tools = [web_search, summarize]" \\
  --add-caveat "expires = 2026-03-12T23:59:59Z"

# Child agent gets a token that:
# - Can only spend 500 credits (not parent's full 5000)
# - Can only call web_search and summarize (not dalle_generate)
# - Expires at midnight tonight`}</code>
          </pre>

          <p className="text-gray-300 leading-relaxed">
            The child agent can't escalate its own permissions. The restrictions are cryptographically bound into the token. This is what Google DeepMind's <a href="https://satgate.io/blog/deepmind-intelligent-delegation-satgate" className="text-cyan-400 hover:text-cyan-300">Intelligent Delegation paper</a> advocates — and what SatGate already implements.
          </p>

          <h3 className="text-xl font-bold text-white mt-8 mb-3">Economic Observability (Not Just Request Logs)</h3>
          <p className="text-gray-300 leading-relaxed">
            When your CFO asks "how much did our AI agents spend last month," a traditional gateway gives you request counts. That's like telling your CFO how many times employees swiped their corporate card — without the dollar amounts.
          </p>

          <p className="text-gray-300 leading-relaxed">
            An agent-aware gateway produces economic telemetry:
          </p>

          <ul className="text-gray-300 space-y-2">
            <li><strong className="text-white">Cost per agent</strong>: "research-bot spent $340 this week"</li>
            <li><strong className="text-white">Cost per tool</strong>: "GPT-4 calls account for 78% of total spend"</li>
            <li><strong className="text-white">Cost per team</strong>: "Engineering's agents spent $2,100; Marketing's spent $800"</li>
            <li><strong className="text-white">Delegation chain attribution</strong>: "Agent C spent $50, delegated by B, funded by A"</li>
          </ul>

          <h2 className="text-2xl font-bold text-white mt-12 mb-4">Why Not Just Add Plugins?</h2>
          
          <p className="text-gray-300 leading-relaxed">
            The natural response is: "Can't I just write a Kong plugin or an Envoy filter that tracks budgets?"
          </p>

          <p className="text-gray-300 leading-relaxed">
            Technically, yes. Practically, it's the wrong abstraction layer. Here's why:
          </p>

          <ul className="text-gray-300 space-y-3">
            <li><strong className="text-white">Budget enforcement requires atomic operations.</strong> Checking a budget and decrementing it must be a single atomic operation. Plugins that read a counter, check it, then decrement it have race conditions at scale. SatGate uses Redis-backed atomic enforcement with Lua scripts.</li>
            <li><strong className="text-white">Macaroon verification is non-trivial.</strong> Verifying a macaroon with multiple caveats, checking expiry, budget constraints, and tool restrictions — that's not a 50-line plugin. It's a core architectural concern.</li>
            <li><strong className="text-white">Delegation chains require context propagation.</strong> When Agent B presents a token delegated from Agent A, the gateway needs to verify the entire chain, attribute costs to the right budget, and log the delegation path. Traditional plugin architectures don't propagate this context.</li>
            <li><strong className="text-white">Cost resolution needs configuration.</strong> Different tools cost different amounts. The gateway needs a cost resolver that maps tool names to credit costs, supports wildcards, and allows per-tenant overrides. This is a first-class concern, not an afterthought.</li>
          </ul>

          <h2 className="text-2xl font-bold text-white mt-12 mb-4">How SatGate Approaches It</h2>
          
          <p className="text-gray-300 leading-relaxed">
            SatGate isn't competing with Kong or Gravitee on routing and load balancing. Those are solved problems. Instead, SatGate sits as a <strong className="text-white">request-path governance layer</strong> — either as a standalone proxy or alongside your existing gateway.
          </p>

          <p className="text-gray-300 leading-relaxed">
            The architecture has three layers:
          </p>

          <pre className="bg-gray-900/70 border border-gray-800 rounded-lg p-4 overflow-x-auto text-sm my-6">
            <code className="text-green-300">{`┌──────────────────────────────────────────┐
│  Agent Request (with Macaroon token)     │
└──────────────┬───────────────────────────┘
               │
┌──────────────▼───────────────────────────┐
│  SatGate Policy-to-Proof Layer           │
│  ├─ Verify capability + caveats          │
│  ├─ Check policy and budget atomically   │
│  ├─ Resolve tool cost                    │
│  ├─ Allow, deny, or require approval     │
│  └─ Emit Evidence Pack                   │
└──────────────┬───────────────────────────┘
               │
┌──────────────▼───────────────────────────┐
│  Backend / Existing Gateway              │
│  (Kong, Envoy, direct, whatever)         │
└──────────────────────────────────────────┘`}</code>
          </pre>

          <p className="text-gray-300 leading-relaxed">
            This means you don't rip and replace your existing infrastructure. SatGate adds the Policy-to-Proof layer that agents need while your current gateway continues handling TLS, routing, and load balancing.
          </p>

          <h2 className="text-2xl font-bold text-white mt-12 mb-4">The Enterprise Path: Observe → Control → Prove</h2>
          
          <p className="text-gray-300 leading-relaxed">
            Most enterprises aren't ready to enforce budgets on day one. That's fine. SatGate supports a progressive adoption model:
          </p>

          <ul className="text-gray-300 space-y-3">
            <li><strong className="text-white">Observe:</strong> Deploy in audit mode. See what agents are calling, spending, and delegating. No enforcement yet, just structured visibility.</li>
            <li><strong className="text-white">Control:</strong> Enable request-path policy. Set budget, scope, route, tenant, and MCP-tool limits that block bad calls before they execute.</li>
            <li><strong className="text-white">Prove:</strong> Preserve Evidence Packs for allow, deny, spend, delegation, and revocation decisions so security, finance, and auditors can verify what happened later.</li>
          </ul>

          <p className="text-gray-300 leading-relaxed">
            Each stage builds on the last. By the time paid rails enter the flow, they are governed context, not the control plane. Humans set policy and budgets; agents execute within those boundaries; SatGate preserves the proof.
          </p>

          <h2 className="text-2xl font-bold text-white mt-12 mb-4">What to Look For in an Agent-Aware Gateway</h2>
          
          <p className="text-gray-300 leading-relaxed">
            Whether you evaluate SatGate or build your own, here's the checklist for what an API gateway for AI agents must support:
          </p>

          <ul className="text-gray-300 space-y-2">
            <li>✅ <strong className="text-white">Dollar-denominated budget limits</strong> (not just request counts)</li>
            <li>✅ <strong className="text-white">Per-tool cost resolution</strong> (different calls cost different amounts)</li>
            <li>✅ <strong className="text-white">Atomic budget enforcement</strong> (no race conditions at scale)</li>
            <li>✅ <strong className="text-white">Capability-based tokens</strong> (attenuated delegation, not all-or-nothing keys)</li>
            <li>✅ <strong className="text-white">Delegation chain tracking</strong> (who delegated to whom, and whose budget pays)</li>
            <li>✅ <strong className="text-white">Evidence Packs</strong> (signed proof of allow, deny, spend, and delegation decisions)</li>
            <li>✅ <strong className="text-white">Structured budget exhaustion errors</strong> (agents need to reason about limits)</li>
            <li>✅ <strong className="text-white">Progressive adoption</strong> (observe → control → prove)</li>
          </ul>

          <h2 className="text-2xl font-bold text-white mt-12 mb-4">The Bottom Line</h2>
          
          <p className="text-gray-300 leading-relaxed">
            Traditional API gateways are excellent at what they do. But they were designed for a world where humans drive API traffic and costs are predictable. AI agents broke that assumption.
          </p>

          <p className="text-gray-300 leading-relaxed">
            You don't need to replace your gateway. You need to add request-path governance that understands authority, budgets, delegation, and variable costs, then proves each decision. That's the difference between an API gateway that routes traffic and one that governs autonomous agent activity.
          </p>

          <div className="my-8 rounded-2xl border border-cyan-900/60 bg-cyan-950/20 p-6">
            <h2 className="text-2xl font-bold text-white mb-4">API Gateway for AI Agents FAQ</h2>
            <div className="space-y-5">
              <div>
                <h3 className="text-xl font-bold text-white mb-2">What is an API gateway for AI agents?</h3>
                <p className="text-gray-300 leading-relaxed mb-0">
                  An API gateway for AI agents sits between autonomous agents and upstream APIs, models, or MCP tools. It needs to enforce budgets, verify scoped capability tokens, attribute spend, support delegation, and return structured errors before expensive calls execute.
                </p>
              </div>
              <div>
                <h3 className="text-xl font-bold text-white mb-2">Why are traditional API gateways not enough for AI agents?</h3>
                <p className="text-gray-300 leading-relaxed mb-0">
                  Traditional gateways are built around authentication, routing, and rate limits. AI agents need economic controls because one request can cost far more than another, agents can retry or chain calls autonomously, and delegated sub-agents need scoped authority and shared budget attribution.
                </p>
              </div>
              <div>
                <h3 className="text-xl font-bold text-white mb-2">What should an agent-aware API gateway enforce?</h3>
                <p className="text-gray-300 leading-relaxed mb-0">
                  It should enforce per-agent and per-tool budgets, atomic spend checks, scoped and revocable capability tokens, delegation-chain attribution, economic Evidence Packs, and optional paid-rail context for paid agents.
                </p>
              </div>
              <div>
                <h3 className="text-xl font-bold text-white mb-2">Can an AI agent API gateway work with existing gateways like Kong or Apigee?</h3>
                <p className="text-gray-300 leading-relaxed mb-0">
                  Yes. An AI agent API gateway can sit in front of, behind, or alongside existing gateways like Kong, Apigee, Tyk, or Cloudflare. The existing gateway can keep routing traffic while the agent-aware layer enforces budgets, tool scope, delegation, and payment policy.
                </p>
              </div>
            </div>
          </div>

          <p className="text-gray-300 leading-relaxed">
            The agents are already here. The question is whether your infrastructure can govern them — or just watch them spend.
          </p>

          <div className="mt-12 p-6 bg-gray-900/50 border border-gray-800 rounded-lg">
            <p className="text-gray-300 mb-4">
              SatGate is open source. Try it:
            </p>
            <pre className="bg-gray-900/70 rounded p-3 text-sm overflow-x-auto">
              <code className="text-green-300">{`go install github.com/satgate-io/satgate/cmd/satgate-mcp@latest`}</code>
            </pre>
            <p className="text-gray-400 text-sm mt-3">
              <a href="https://github.com/SatGate-io/satgate" className="text-cyan-400 hover:text-cyan-300">GitHub →</a>
              {' · '}
              <a href="https://satgate.io/pricing" className="text-cyan-400 hover:text-cyan-300">Enterprise →</a>
              {' · '}
              <a href="https://satgate.io/compare" className="text-cyan-400 hover:text-cyan-300">Gateway Comparison →</a>
            </p>
          </div>

          <div className="my-10 rounded-2xl border border-cyan-900/60 bg-cyan-950/20 p-6">
            <h3 className="mb-3 text-xl font-bold text-white">Compare routing gateways against Policy-to-Proof</h3>
            <p className="mb-4 text-gray-300">Use the comparison hub and MCP governance pages to map where existing gateways stop and SatGate&apos;s authority, budget, and Evidence Pack controls begin.</p>
            <div className="flex flex-wrap gap-3 text-sm font-semibold">
              <Link href="/compare" className="text-cyan-300 hover:text-cyan-200">Comparison hub →</Link>
              <Link href="/mcp-governance" className="text-cyan-300 hover:text-cyan-200">MCP governance →</Link>
              <Link href="/policy-to-proof" className="text-cyan-300 hover:text-cyan-200">Policy-to-Proof →</Link>
            </div>
          </div>


          <div className="my-10 rounded-2xl border border-cyan-900/50 bg-cyan-950/10 p-6">
            <h3 className="mb-3 text-xl font-bold text-white">SatGate path: Observe → Control → Prove</h3>
            <p className="mb-4 text-gray-300">
              Start by observing agent, API, and MCP usage. Move to request-path control when budgets, scopes, and revocation need to stop bad calls before they run. Preserve Evidence Packs so every allow, deny, and budget decision can be verified later.
            </p>
            <div className="flex flex-wrap gap-3 text-sm font-semibold">
              <Link href="/policy-to-proof" className="text-cyan-300 hover:text-cyan-200">Policy-to-Proof →</Link>
              <Link href="/mcp-governance" className="text-cyan-300 hover:text-cyan-200">MCP governance →</Link>
              <Link href="/govern" className="text-cyan-300 hover:text-cyan-200">See SatGate governance →</Link>
            </div>
          </div>

          <RoiCta
            title="Quantify agent gateway ROI"
            body="Show the difference between routing traffic and enforcing spend before each autonomous API request."
          />

        </article>

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          <Link href="/blog" className="text-gray-500 hover:text-white transition">
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      </div>
    </div>
  );
}
