sipi.bot tutorials
Set up spend alerts for your agents
sipi.bot can alert you on threshold breaches, velocity spikes, and policy changes. This tutorial covers alert routing (Slack, email, webhook) and threshold tuning.
Overview
sipi.bot can alert you on threshold breaches, velocity spikes, and policy changes. This tutorial covers alert routing (Slack, email, webhook) and threshold tuning. 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 tutorials.
How often is this updated?
Reviewed quarterly and updated when the underlying data or best practices change.
What you will accomplish
By the end of this walkthrough you will have a working sipi.bot policy enforced on your agent, with a tested block path and an audit trail you can inspect. The whole exercise typically takes under an hour.
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.
Step-by-step
- Create a sipi.bot account and open the policy editor. Start from the recommended defaults for your agent type.
- Identify the function or tool call in your agent that triggers a transaction. This is the call you will wrap with a policy check.
- Add the sipi.bot policy check immediately before the transaction call. The check takes agent id, merchant, amount, and intent, and returns a structured decision.
- Handle all three decision paths: approve (proceed with the transaction), block (log, notify, and choose an alternative path), flag (hold for human review). Most bugs come from handling only the approve path.
- Run a test transaction that should be approved. Verify the decision returns in under 5ms and the audit log captures the transaction.
- Run a test transaction that should be blocked. Verify the block path works and the agent handles the denial gracefully.
- Turn on real-time alerts (Slack, email, webhook) on flagged and blocked transactions.
Verifying your work
After deployment, watch the audit log for the first 24 hours. You should see approved transactions for legitimate work and, depending on your policy, a small number of blocked transactions for attempts that violated your limits. Investigate every block — each one is either a policy that is too tight or an agent behavior you did not expect, and either way you want to know.
Common pitfalls
Forgetting the block path. If your agent does not handle the block decision, it will hang or crash. Handle all three outcomes before going to production.
Logging without alerting. An audit log nobody reads is just a compliance artifact. Wire up real-time alerts on flagged transactions so a human actually sees them.
One policy for all agents. Different agents have different spend profiles. Use per-agent policies, not a single global policy.