AI agent governance assessment

Economic Firewall Readiness Grader

Grade whether your agent/API stack can handle autonomous spend: identity, request-path budgets, MCP tool costs, revocation, delegation, audit, routing, and L402 robot payments.

Agent identity

Can you attribute every API/tool call to tenant, agent, workflow, delegated sub-agent, token, route, and model?

Budget enforcement

Can you block or route requests before they exceed per-agent, per-session, per-tool, daily, or per-request budgets?

MCP governance

Do MCP tool calls have prices, spend caps, risk tiers, and audit trails before tools execute?

Revocation

Can you revoke or narrow an agent capability before the next request without rotating global API keys?

Delegation

When agents spawn sub-agents, does delegated authority shrink by budget, scope, tool list, route, and expiry?

Audit evidence

Can finance/security/platform teams reconstruct who spent what, why it was allowed, and which policy decided?

Economic routing

Can routine agent work route to cheaper providers while premium models require budget or justification?

Robot payments

If external agents call your APIs, can you charge them per request with L402 before access is unlocked?

Readiness score
0
F

Not ready for autonomous spend

This is static-key/dashboard territory. Put governance in the request path before scaling agents.

Priority fixes

Agent identity

Start in Observe mode and require agent/workflow metadata on every request before optimizing spend.

Budget enforcement

Move high-risk routes from dashboard-only monitoring to request-path Control policy.

MCP governance

Proxy MCP traffic and assign explicit costs to search, browser, cloud, code, data, and premium API tools.

Revocation

Replace broad keys with scoped, expiring capabilities and immediate kill switches.

Delegation

Require attenuation: child agents should inherit less power, not a copy of parent credentials.

What the grader measures

Authority

Agent identity, scoped credentials, expiry, attenuation, and revocation.

Spend control

Request-path budgets, per-tool caps, model routing, and loop prevention.

Evidence

Audit trails that explain every cost, policy decision, route, and outcome.

Commercial readiness

Observe, Control, and Charge paths for internal agents and robot customers.

Move weak areas into request-path control

SatGate is the economic control plane for AI agents: Observe what agents spend, Control risky requests before they execute, and Charge robot customers with L402 when APIs become products.