Insights on API economics, agent governance, and the future of machine-to-machine commerce.
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Use these calculators and generators to quantify AI agent spend risk, create budget policies, and assess economic firewall readiness.
Estimate ghost spend, loop waste, payback period, and enforcement ROI.
Model loop, retry, fanout, and paid tool-call exposure.
Generate OpenAI spend caps, routing, revocation, and audit policy.
Create per-tool MCP budgets, risk actions, and audit rules.
Score identity, budgets, MCP tools, revocation, audit, routing, and Charge.
Learn the request-path category for AI agent economic governance.
Learn how to set up a Cursor MCP proxy with SatGate to enforce budgets, meter tool usage, and add Evidence Packs without changing your MCP servers.
Stop guessing tool costs on day one. Start everything at 1 credit in Observe mode, measure real usage, then use that data to shape behavior with intentional pricing.
Learn how to enforce OpenAI API budget limits before each request, then use the ROI calculator to quantify avoided agent-loop spend.
Zero Trust for AI agents needs scoped capability tokens, revocation, delegation limits, and request-path budget enforcement.
HTTP 402 Payment Required has been "reserved for future use" since 1997. AI agents finally make it essential. Here are the real-world use cases unlocking it.
L402 combines HTTP 402 Payment Required with Lightning Network micropayments and macaroon tokens. Learn how this protocol enables AI agents to pay for API access in real time.
API keys tie identity to unlimited access. Macaroon tokens embed capabilities and constraints. For AI agents that need delegation and budget limits, the difference is everything.
InformationWeek's 9 recommendations for AI agent cost control are solid for 2025. But when agents make 1,500 calls per prompt and operate 24/7, process can't keep pace. 7 of 9 are automatable at the infrastructure layer.
Monetize APIs for AI agents with machine-readable pricing, request-path metering, budget enforcement, and paid-rail context.
A complete MCP gateway guide covering architecture, auth, tool aggregation, and the economic governance layer most guides miss. Deploy with budget enforcement.
Economic firewalls protect against runaway AI agent costs — but what happens when attackers deliberately try to exploit them? We examine four adversarial attack vectors and the cryptographic defenses that stop them.
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.
Why autonomous AI agents need economic firewalls: hard spend ceilings, bounded authority, revocation, Evidence Packs, and request-path enforcement.
API teams need AI governance that enforces budgets, permissions, and Evidence Packs — not just traffic routing. Learn why traditional API management falls short.
LLM cost dashboards show what happened. Real-time enforcement controls what agents can spend before the bill arrives.
AI agent gateways need budget enforcement, MCP tool cost control, scoped tokens, revocation, and L402 beyond routing.
DeepMind's Intelligent AI Delegation points to macaroon capability tokens and request-path delegation controls.
Set AI agent spending limits with hard budgets by agent, tool, model, workflow, and time window before API or MCP calls execute.
Control AI agent API costs with request-path budget checks, tool pricing, delegated spend limits, revocation, and economic firewalls.
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.
Set per-tool MCP costs, cap agent spend, delegate budgets, and block runaway MCP tool calls before execution.
Control agent swarm costs with hierarchical budgets, scoped delegation tokens, cascade revocation, and request-path enforcement.
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.
Hard-cap MCP tool spend for Claude Code, Cursor, and agent loops with request-path budget enforcement.
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.
FAQ
The SatGate blog covers AI agent governance, economic firewalls, AI agent cost control, MCP budget enforcement, revocable capability tokens, paid-rail context, and API economics for autonomous agents.
Start with the AI agent cost control guide, the economic firewall definition, the ROI calculator, and the MCP budget enforcement guide to understand the request-path controls needed before agents spend.
LLM dashboards report spend after it happens and traditional API gateways mainly route traffic. SatGate sits in the request path to observe, control, and prove agent/API activity before upstream access.
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