AI Agent Cost Control Tools
Quantify runaway agent spend, generate enforceable budget policy, govern MCP tools, and grade your economic firewall readiness before autonomous agents hit production scale.
LLM Cost Dashboard Checklist
Track token cost, latency, model spend, agent attribution, MCP tools, and budget enforcement gaps.
Open toolLLM Cost Monitoring Guide
Compare dashboards, alerts, budget policy, routing, revocation, and checks before the request goes through.
Open toolAI Agent ROI Calculator
Estimate ghost spend, loop waste, payback period, and ROI from budget checks before the request goes through.
Open toolRunaway Agent Cost Calculator
Model loop duration, paid call velocity, sub-agent fanout, and monthly exposure before detection.
Open toolAI Agent Runaway Spend Benchmark
Original benchmark scenarios for agent loops, MCP retry storms, fanout, detection delay, and avoided spend.
Open toolAI Agent Runaway Spend Index
Track monthly modeled runaway spend exposure, MCP tool cost failures, fanout risk, and avoided cost from controls before the request goes through.
Open toolMCP connect snippet
The real Cloud MCP snippets for Cursor, Claude Desktop, Claude Code and OpenClaw. Credits, not a dollar budget.
Open toolEconomic Firewall Readiness Grader
Score readiness across identity, budgets, MCP tools, revocation, delegation, audit, routing, and charging external agents.
Open toolAgent API Key Risk Assessment
Score static API key risk across scope, budget, expiry, revocation, delegation, and audit gaps for autonomous agents.
Open toolL402 API Pricing Calculator
Estimate per-request paid-agent pricing, gross margin, paid demand, and Lightning sats per API request.
Open toolMeasure
Start with calculators to estimate ghost spend, runaway loop exposure, and payback period.
Generate
Turn risk models into concrete OpenAI and MCP budget policies your control plane can enforce.
Govern
Use readiness scoring to prioritize identity, revocation, audit, routing, and payment rules gaps.
Turn this into an enforceable SatGate policy
Export the calculator result or generated policy, then have SatGate review the budget model, MCP tool costs, credential scope, and enforcement path with your team.
Export
Save the YAML, JSON, CSV, benchmark data, or calculator output your team already generated.
Send for review
Share your policy with SatGate and get feedback on budgets, revocation, audit fields, and rollout risk.
Enforce
Convert the model into controls that run before the request goes through, for agents, MCP tools, model routes, and paid API access.
AI agent cost control tools FAQ
What are AI agent cost control tools?
They quantify autonomous agent spend risk, model runaway loops, and assess whether economic controls can stop expensive requests before the agent acts.
Which SatGate tool should I start with?
Start with the AI Agent ROI Calculator if you need a business case, the Runaway Agent Cost Calculator if you need incident exposure, the MCP connect snippet if you want to route Cursor or Claude Code through SatGate, and the Economic Firewall Readiness Grader if you need a gap assessment.
How do these tools relate to an economic firewall?
The calculators estimate the risk. SatGate enforces budgets, permissions and revocation before the request goes through. SatGate signs a receipt when it refuses an agent over a budget, a missing payment or a tool permission, and when an agent spends from a budget in Control.