Insights on API economics, agent governance, and the future of machine-to-machine commerce.
Observe, Control, Charge isn't just a product taxonomy — it's an enterprise change management strategy for adopting economic governance incrementally, building trust at each stage.
Economic firewalls aren't just safety tools — they're the enablers that unlock fully autonomous AI agents. By solving unbounded cost, they create the trust infrastructure for agents to make independent purchasing decisions.
API teams need AI governance that enforces budgets, permissions, and audit trails — not just traffic routing. Learn why traditional API management falls short.
LLM cost dashboards show you what you spent. Economic firewalls control what you spend. Learn why observability alone fails when AI agents control the budget.
Traditional API gateways route traffic. AI agents need economic governance. Learn why Solo.io, Kong, and Gravitee weren't built for autonomous agent workloads.
DeepMind's Intelligent AI Delegation paper proposes macaroon-based capability tokens for safe agent delegation. Here's how their framework maps to SatGate's architecture.
API rate limits don't control agent costs. Learn how economic firewalls enforce real-time budget limits on autonomous AI spend — per agent, per tool.
Rate limiting doesn't understand money. Learn how economic firewalls give you real budget enforcement for AI agent API spend — per agent, per tool, in real time.
An economic firewall enforces budget limits on AI agent API calls at the gateway layer. Learn how it differs from traditional API security and why agents need it.
How to enforce per-tool budgets on MCP servers. Assign costs per tool call, cap agent spending, and attribute costs across teams.
Multi-agent AI systems multiply API costs exponentially. Without economic governance, agent swarms can burn through budgets in minutes.
Every security tool tells you how many attacks it stopped. SatGate tells you how many dollars it saved. Here's the CFO math on why economic governance is a profit center.
Your AI agent burned $500 overnight calling tools in a loop. Here's how to enforce real-time budget hard caps at the protocol level.
2,164 lines of Go, 28 tests, and one evening. An open-source MCP proxy that enforces per-tool budgets with cryptographic delegation.
The MCP ecosystem talks about capability. Nobody talks about cost. Here's why economic policy is the missing layer — and how to enforce it at the protocol level with L402 and macaroons.
AI gateways excel at routing LLM calls. But when agents control spend autonomously, routing isn't enough. You need economic governance.
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