sipi.bot limits
Recommended spend limits by AI agent use case
Recommended per-transaction, daily, and velocity limits for common AI agent use cases: coding agents, research agents, support bots, trading bots, shopping agents.
Overview
Recommended per-transaction, daily, and velocity limits for common AI agent use cases: coding agents, research agents, support bots, trading bots, shopping agents. Built for spend firewall users who need depth, not breadth.
How sipi.bot helps
sipi.bot is built for spend firewall for ai agents. This page's recommendations are baked directly into the product.
- Spend firewall for AI agents
- Built specifically for spend firewall workflows
- Active development and support
- Documented API and integrations
Frequently asked questions
Is this page relevant to my use case?
If you are a spend firewall user, yes. The content is tailored to the specific challenges of limits.
How often is this updated?
Reviewed quarterly and updated when the underlying data or best practices change.
Why explicit limits matter
Autonomous agents need explicit spend limits because the alternative — trusting the agent, the LLM provider's monthly cap, or a human in the loop on every transaction — does not actually bound the risk. Provider caps are monthly and account-level. Human review does not scale. And agents themselves have no native concept of a budget.
Recommended spend limits by AI agent use case gives you a concrete, enforceable ceiling that is evaluated on every transaction in under 5ms. 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.
How to choose a value
Start with the recommended default for your agent type, observe actual traffic for a week, then tune. The right limit is the smallest value that does not interrupt legitimate work. If you are blocking more than 1% of transactions in steady state, the limit is probably too tight. If you are not blocking anything, it may be too loose.
Pair every dollar limit with a velocity cap (transactions per minute). Dollar limits catch the single large transaction; velocity caps catch the loop. You need both.
What happens when a limit is hit
When a transaction would exceed the limit, sipi.bot returns block with a reason code identifying which limit fired. The agent receives the decision as structured JSON and can choose an alternative path — retry with a smaller scope, ask for human approval, or abandon the task. The blocked transaction is logged with the policy version, so you can always see exactly why it was denied.
Reviewing and tuning
Review the audit log weekly during early deployment. Look at the blocked and flagged transactions: are they genuine policy violations (good, the limit is working) or legitimate work the agent could not complete (raise the limit)? After a month, most policies stabilize and monthly review is enough.