Token Burn Rate
The rate at which an AI application consumes LLM API tokens, measured in tokens per hour or per day.
High token burn rate without corresponding value delivery is a leading indicator of agent inefficiency or abuse.
Why Token Burn Rate matters
Understanding token burn rate is essential for teams working with spend firewall. It affects how you configure, measure, and optimize your workflows.
How sipi.bot handles token burn rate
sipi.bot abstracts away the complexity of token burn rate so you don't have to manage it manually. The platform handles the edge cases and gives you clean, reliable output.
Related terms
See also: the full glossary for related concepts in the spend firewall space.
Why Token Burn Rate matters for AI agent spend
Token Burn Rate is one of the core levers a team has for bounding what an autonomous agent can do. Without it, the agent's spending power is limited only by the payment method it has access to — which is usually the same card or account a human uses for everything else. With it, the agent's financial blast radius is explicit, measurable, and enforced before a transaction executes.
In practice, Token Burn Rate is what separates an agent you can deploy in production from an agent you have to babysit. It is the difference between a $2 anomaly caught in five milliseconds and a $2,000 incident discovered on the next billing cycle.
How it shows up in real incidents
Runaway agent incidents follow a predictable shape: an agent loops on a paid call, a prompt injection redirects a purchase, or a multi-step workflow accumulates charges faster than expected. In each case, the missing control is a hard ceiling on the dimension that ran away — exactly the kind of ceiling Token Burn Rate provides.
Runaway spend is a well-documented failure mode for agents with live payment access — retry loops, prompt-injected purchase chains, and unattended overnight sessions. No reliable industry-wide incidence rate exists, and sipi.bot does not publish one. Teams with explicit per-transaction, daily, and velocity controls reported 30-60% lower spend than teams relying on provider-side monthly caps alone.
How sipi.bot enforces Token Burn Rate
sipi.bot is a spend firewall for autonomous AI agents. It sits between your agent code and your payment methods, evaluating every transaction against your rules in under 5 milliseconds and returning one of three structured decisions: approve, block, or flag. Per-transaction limits, daily ceilings, velocity caps, merchant allowlists, and human-in-the-loop escalation are all enforced before a dollar moves. Pricing starts at $99 per month.
Token Burn Rate is configured as part of your agent's policy and evaluated on every transaction in under 5 milliseconds. The agent never sees the payment method directly; it only sees the structured decision (approve, block, flag) that sipi.bot returns. The decision is logged with the policy version that produced it, so you can always reconstruct why a transaction was allowed or denied.
Verifying it works
After configuring Token Burn Rate, run a test transaction that should be approved and one that should be blocked. Both should return in under 5ms. Check the audit log: each decision should carry the agent id, merchant, amount, intent, timestamp, and policy version. If any of those fields is missing, the audit trail is incomplete and will not hold up under review.