AI Research Agent Spend Controls
Control research agent spending with per-purchase limits and vendor allowlists.
Research agents autonomously purchase datasets, subscribe to APIs, buy reports, and access paywalled content. Without spend controls, a research agent can exhaust your entire research budget on a single overpriced dataset. sipi.bot adds per-purchase caps, daily research budgets, and vendor allowlists — with approval queues for purchases above your threshold.
The spend problem in this use case
AI Research Agent Spend Controls involve real money moving on autonomous decisions. Every transaction — a refund, a credit, a purchase, a trade, an API call — is a place where a bug, a loop, or an adversarial input can cause financial loss. The risk is not theoretical — retry loops and prompt-injected purchase chains are documented failure modes — but its size depends entirely on the caps in front of the agent.
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.
Where sipi.bot fits
In this use case, sipi.bot sits between the agent and the payment method. Every transaction passes through a policy check that returns approve, block, or flag in under 5ms. The agent never sees the payment method directly; it only sees the structured decision. This keeps the agent autonomous while guaranteeing it cannot escape your financial guardrails.
Recommended policy for this use case
- Per-transaction limit: cap the dollar value of any single transaction. For Research Agent Spend Control workflows, $1 to $10 per transaction covers most legitimate use.
- Daily ceiling: bound the total the agent can move in 24 hours. Start at $50/day for development, scale with production volume.
- Velocity cap: limit transactions per minute. This is the control that catches a runaway loop before the daily ceiling does.
- Merchant allowlist: restrict which destinations the agent can transact with. This is the control that catches a prompt injection redirecting a purchase.
- Human-in-the-loop: escalate transactions above a threshold (e.g. $25) for human approval before they execute.
What this prevents
Without these controls, a single bug can drain a budget in minutes. With them, the worst case is a blocked transaction and a Slack alert. The difference, measured in dollars, is typically two to three orders of magnitude.